
Computational and Experimental Simulations in Engineering
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Content
- Intro
- Preface
- Contents
- 1 A Peridynamic Micro-Scale Model for Predicting Mechanical Properties of Graphene
- 1.1 Introduction
- 1.2 Interaction
- 1.3 PeriDynamics
- 1.4 Unit Cell
- 1.5 Results and Discussion
- 1.6 Conclusion
- References
- 2 Three-Dimensional Temperature Field Prediction in Double-Wall Cooling Structure Using Deep Learning Method
- 2.1 Introduction
- 2.2 Methodology
- 2.2.1 Numerical Simulation for DWCS Unit
- 2.2.2 Dataset Building
- 2.2.3 Deep Learning Algorithm
- 2.3 Experiment and Results
- 2.3.1 Model Evaluation
- 2.4 Conclusion
- References
- 3 A Neural Network-Based Method for Solving the Mass Flow Related Forward and Inverse Problems of Laminate Cooling Structures
- 3.1 Introduction
- 3.2 Dataset Preparation
- 3.2.1 Geometries, and Computational Setups
- 3.2.2 Flow Data for Training
- 3.3 Methodology
- 3.3.1 Network Architecture for Solving Forward Problems
- 3.3.2 Network Architecture for Solving Inverse Problems
- 3.4 Results and Discussion
- 3.4.1 Forward Problem
- 3.4.2 Inverse Problem
- 3.5 Conclusion
- References
- 4 Experimental Research of Ultra High Performance Concrete in Supersized Rectangle Pipe Jacking Project
- 4.1 Introduction
- 4.2 Background
- 4.2.1 Project Review
- 4.2.2 Design of an Assembled Tube
- 4.2.3 Connection Method
- 4.3 Mechanical Performance
- 4.3.1 Test Scheme
- 4.3.2 Results
- 4.4 Waterproofing Performance
- 4.4.1 Laboratory Test
- 4.4.2 Prototype Test
- 4.4.3 Improved Waterproofing Design
- 4.5 Conclusion
- References
- 5 Mechanical Performance and Experimental Research on Plug-in Fast Connector of Shield Tunnel
- 5.1 Introduction
- 5.2 Background
- 5.2.1 Project Overview
- 5.2.2 Plug-in Fast Connector
- 5.3 Tensile Test Scheme
- 5.3.1 Specimen Design
- 5.3.2 Apparatus
- 5.3.3 Monitoring Scheme
- 5.4 Shearing-Test Scheme
- 5.4.1 Introduction of Scheme
- 5.4.2 Specimen Design
- 5.4.3 Apparatus and Loading Scheme
- 5.5 Results
- 5.5.1 Tensile Test
- 5.5.2 Shearing Test
- 5.6 Conclusion
- References
- 6 The Advancement of Knowledge Graphs in Cybersecurity: A Comprehensive Overview
- 6.1 Introduction
- 6.2 Background Knowledge
- 6.2.1 Knowledge Graph
- 6.2.2 Cybersecurity Knowledge Graph
- 6.3 Cybersecurity Knowledge Graph Dataset
- 6.3.1 Generalized Dataset of Cybersecurity Knowledge Graph
- 6.3.2 Cybersecurity Knowledge Graph Professional Type Dataset
- 6.4 Cybersecurity Knowledge Graph Construction Techniques
- 6.4.1 Technical Architecture of CyberSecurity Knowledge Graph
- 6.4.2 Network Security Domain Ontology Modeling
- 6.4.3 Knowledge Extraction for CyberSecurity Knowledge Graph
- 6.4.4 CyberSecurity Knowledge Graph Reasoning
- 6.5 Application Scenarios of Network Security Knowledge Graph
- 6.5.1 CyberSecurity Knowledge Graph Defense Class Application Scenarios
- 6.5.2 CyberSecurity Knowledge Graph Attack Class Application Scenarios
- 6.5.3 CyberSecurity Knowledge Graph Optimization Class Application Scenarios
- 6.6 Challenges and Future Trends
- 6.6.1 Challenges to the Cybersecurity Knowledge Graph
- 6.6.2 Future Trends of Knowledge Graph in Cybersecurity
- 6.7 Conclusion
- References
- 7 Active Disturbance Rejection Control of Hypersonic Vehicle Based on Q-Learning Algorithm
- 7.1 Introduction
- 7.2 Pitch Channel Dynamics Model of Hypersonic Vehicles
- 7.3 ADRC Controller Design for the Pitch Channel of Hypersonic Vehicle
- 7.3.1 Pitch Channel State Equation
- 7.3.2 Design of ADRC Controller
- 7.4 Q-Learning Algorithm for Attitude Controller Parameter Tuning
- 7.4.1 Q-Learning Theory
- 7.4.2 The Design Process of Q-learning Algorithm
- 7.4.3 Design of Q-Algorithm Behavior and State
- 7.5 Simulation Test
- 7.6 Conclusion
- References
- 8 Deformation and Crack Monitoring of RC Beams Based on Computer Vision
- 8.1 Introduction
- 8.2 Image Acquisition
- 8.2.1 Experimental Specimens
- 8.2.2 Cameras Set-Up
- 8.3 Method and Result
- 8.3.1 Mid-Span Deflection Extraction
- 8.3.2 Crack Detection on Sequential Images
- 8.3.3 Crack Characteristic Parameters Extraction
- 8.4 Conclusion
- References
- 9 Numerical Simulation of Enhancing the Solar-Thermal Conversion and Storage Performance for Expanded Perlite/Paraffin Wax Composites by Introducing Expanded Graphite and Carbon Nanotubes
- 9.1 Introduction
- 9.2 Material and Characterization
- 9.2.1 Materials
- 9.2.2 Preparation of Composites
- 9.2.3 Characterization
- 9.2.4 Morphologies and Microstructure
- 9.2.5 Thermal Properties of PW and Composites
- 9.2.6 The Solar Absorptance of PW and Composites
- 9.3 Numerical Model
- 9.3.1 Physical Model
- 9.3.2 Governing Equations
- 9.3.3 Boundary Conditions
- 9.3.4 Numerical Approach and Module Validation
- 9.3.5 Grid and Time Steps Independence Verification
- 9.4 Results and Discussion
- 9.4.1 Heat Storage and Release
- 9.4.2 Solar-Thermal Conversion and Storage Process
- 9.5 Conclusion
- References
- 10 Effect of Natural Fracture Clusters on Hydraulic Fracture Propagation in Fractured Reservoirs: A Numerical Simulation Study
- 10.1 Introduction
- 10.2 Governing Equations
- 10.2.1 Rock Deformation and Fluid Flow Equations
- 10.2.2 Fracture Tip Initiation and Propagation Control Equation
- 10.2.3 Fluid Flow Equation in the Fracture
- 10.3 Numerical Simulation Method Validation and Model Building
- 10.3.1 Numerical Simulation Method Validation
- 10.3.2 Model Building
- 10.4 Simulation Results
- 10.4.1 Fracture Propagation Morphology and Injection Pressure Response Characteristics
- 10.4.2 Influence of Horizontal Stress Difference on Hydraulic Fracture Propagation
- 10.4.3 Influence of Natural Fracture Angle on Hydraulic Fracture Propagation
- 10.4.4 Influence of Injection Rate and Fracturing Fluid Viscosity on Hydraulic Fracture Propagation
- 10.5 Discussion
- 10.6 Conclusions
- References
- 11 Molecular Dynamics Investigations of Hydrogen-Enriched Natural Gas Permeation in Polyethylene
- 11.1 Introduction
- 11.2 Molecular Dynamics Model
- 11.3 Molecular Dynamics Simulation Process
- 11.3.1 Simulation of Dissolution/Sorption Process
- 11.3.2 Simulation of Diffusion Process
- 11.3.3 Simulation of Permeation Process
- 11.4 Analysis of Simulation Results
- 11.4.1 Study of Gas Dissolution
- 11.4.2 Study of Gas Diffusion
- 11.4.3 Permeation Characteristics
- 11.5 Conclusions
- References
- 12 Estimation of Hourly Solar Radiation in Australia Using Machine Learning Models
- 12.1 Introduction
- 12.2 Study Site and Data Collection
- 12.3 Machine Learning Models and Statistical Indicators
- 12.3.1 RF
- 12.3.2 SVM
- 12.3.3 Statistical Indicators
- 12.4 Results and Discussion
- 12.5 Conclusion
- References
- 13 Theoretical Calculation and Parametric Study of Floating and Sinking Process of the Steel Tube with a Large Diameter
- 13.1 Introduction
- 13.2 Floating and Sinking Process of Steel Guard Cylinder
- 13.3 Establishment of Equilibrium Equation
- 13.4 Analysis and Discussion
- 13.4.1 The Relationship Between the Immersion Depth of the Protection Cylinder and the Depth of the Liquid Level in the Barrel
- 13.4.2 Relation Between Water Inlet Speed and Rotational Speed
- 13.4.3 Relation Between Water Inlet Area and Rotational Speed and Time
- 13.5 Conclusion
- References
- 14 A Stable Method for Multi-component Gas Darcy Flow in Porous Media
- 14.1 Introduction
- 14.2 Mathematical Model
- 14.3 Proposed Method
- 14.4 Stability Verification
- 14.5 Case Study
- 14.5.1 Parameters of the Simulation
- 14.5.2 Case for a Single Well Gas Injection
- 14.5.3 Case for Multiple Wells Gas Injection
- 14.6 Conclusion
- References
- 15 Optimal Control of Vehicle Queue Following Based on Wireless Communication
- 15.1 Introduction
- 15.2 Problem Formulation and System Modeling
- 15.3 Vehicle Longitudinal Dynamics Model
- 15.4 Car Following Distance Optimization and Nonlinear Control
- 15.4.1 Follow Distance Optimization
- 15.4.2 Nonlinear Tracking Control Based on Optimal Following Distance
- 15.5 Simulation Studies
- 15.6 Conclusion
- References
- 16 Fatigue Crack Quantification Model for Metallic Structures Based on Strain Monitoring
- 16.1 Introduction
- 16.2 Model Development
- 16.3 Application Examples of the Model
- 16.4 Conclusion
- References
- 17 A Study of a Confucius Culture Learning Environment Based on a 3D Metaverse
- 17.1 Introduction
- 17.2 Metaverse
- 17.3 Based on HMD Interaction Technology
- 17.4 Experimental Platform
- 17.5 Experimental Method
- 17.5.1 Abbreviations and Acronyms
- 17.5.2 Building the Virtual Learning Environment
- 17.5.3 Conducting Experience and Analysis
- 17.6 Experiment Results
- 17.7 Conclusion
- References
- 18 Optimization on Aerodynamic Performances of Pantograph Combined with Sample Infill Criterion
- 18.1 Introduction
- 18.2 Kriging Model and Sample Infill Criterion
- 18.2.1 Kriging Model
- 18.2.2 Sample Selections in Pareto Front and Hybrid Infill Criterion
- 18.3 Kriging Model and Sample Infill Criterion
- 18.3.1 Single-Objective Function Branin
- 18.3.2 Multi-objective Function Poloni
- 18.4 Optimization on the Pantograph
- 18.5 Conclusion
- References
- 19 Measuring Fire Spread Rate with Digital Image Processing Method
- 19.1 Introduction
- 19.2 Flame Image Acquisition and Spatial Correction
- 19.3 Flame Target Segmentation
- 19.4 Fire Spread Rate Calculation
- 19.5 Conclusion
- References
- 20 Metaverse Standardization: System Planning, Current Status and Prospects
- 20.1 Introduction
- 20.2 Metaverse Standard System
- 20.3 Metaverse Standardization
- 20.3.1 Current Status of Metaverse Standardization in China
- 20.3.2 Current Status of International Metaverse Standardization
- 20.4 Prospects of Metaverse Standardization
- 20.4.1 Strengthen the Design of Metaverse Standard System
- 20.4.2 Promote the Interactive Development of Standardization and Technological Innovation
- 20.4.3 Cultivate New Standards for Developing Emerging Industries
- 20.4.4 Promote the Pilot and Application of Standards
- 20.4.5 Improve the Existing Standard System in Time
- 20.5 Conclusion
- References
- 21 Generating Second-Order Stokes Waves Using a Cylinder-Shaped Plunger-Theoretical Derivations and SPH Simulations
- 21.1 Introduction
- 21.2 Wave-Making Theory
- 21.2.1 Equations of Plunger Motion
- 21.2.2 Constraints on the Generated Wave
- 21.3 Numerical Model and Its Validations
- 21.3.1 The SPH Method
- 21.3.2 Model Validations
- 21.4 Examination of Cylinder-Induced Waves
- 21.5 Conclusions
- References
- 22 Design of Construction Mode of Offshore Gas Storage in the Whole Sea-Taking H Gas Field in Liaodong Bay, Bohai Sea as an Example
- 22.1 Introduction
- 22.2 Overseas Offshore Gas Storage Construction Cases and Construction Modes
- 22.2.1 Overseas Offshore Gas Storage Construction Cases and Construction
- 22.2.2 Construction Mode of Offshore Gas Storage Abroad
- 22.3 Construction Mode of Offshore Gas Storage
- 22.4 Application Cases
- 22.4.1 Gas Reservoir Engineering
- 22.4.2 Overall Deployment Scheme
- 22.4.3 Gasification Storage Device Scheme
- 22.4.4 Upper Module Process
- 22.4.5 Offshore Pipeline Technology
- 22.5 Conclusions
- References
- 23 Machine Learning-Based Models for Predicting the Depth of Concrete Penetration
- 23.1 Introduction
- 23.2 Data Augmentation
- 23.2.1 Data Collection of Penetration Tests
- 23.2.2 Detection and Cleaning of Abnormal Penetration Data
- 23.2.3 Linear Interpolation
- 23.2.4 Adding Noise
- 23.3 Machine Learning Model Selection and Hyperparameter Optimization Methods
- 23.3.1 Selection of Machine Learning Models
- 23.3.2 Hyperparametric Optimization Methods
- 23.3.3 Loss Function Selection
- 23.4 Prediction Results and Analysis of Machine Learning Models
- 23.5 Conclusion
- References
- 24 Model Test Research on Pressure Wave in the Subway Tunnel
- 24.1 Introduction
- 24.2 Model Test
- 24.2.1 The Bench of Model Test
- 24.2.2 Test Instrument
- 24.2.3 Layout of Measuring Points
- 24.2.4 Determination of Similarity Criterion
- 24.3 Error Analysis
- 24.4 Results and Discussion
- 24.4.1 The Influence of the Shape of Locomotive on the Tunnel Pressure Wave
- 24.4.2 The Influence of Train Speed on Tunnel Pressure Wave
- 24.4.3 Influence of Shaft on Pressure Wave in Tunnel
- 24.4.4 Influence of Bypass Tunnel on Tunnel Pressure Wave
- 24.5 Conclusion
- References
- 25 Numerical Investigation of Isotropic and Transverse Isotropic Rock Failure Under Semi-circular Bending Test Using Peridynamic
- 25.1 Introduction
- 25.2 Brief Introductions to PDLSM
- 25.3 Transverse Isotropic PDLSM Model T-PDLSM
- 25.3.1 Review of Transverse Isotropic Elasticity
- 25.3.2 Derivation of PD Inner Force for Transverse Isotropy
- 25.3.3 Fracture Criterion
- 25.3.4 Numerical Implementation
- 25.4 Numerical Verification and Simulation
- 25.4.1 Elastic Deformation of a Transverse Isotropic Plate Under Tension
- 25.4.2 Fracture Analysis of Isotropic SCB Tests
- 25.4.3 Fracture Analysis of Transverse Isotropic SCB Tests
- 25.5 Conclusion
- References
- 26 Field Tests of Bridge Damage Detection by Using the Passive Tap-Scan Method
- 26.1 Introduction
- 26.2 A Brief Revisit to the Basis of the Passive Tap-Scan Damage Detection Method
- 26.3 Vehicle Design
- 26.4 Field Tests
- 26.4.1 Cai-Jia-He-Zhi-Liu Bridge
- 26.4.2 Yan-Zi-Yan Bridge
- 26.5 Conclusions
- References
- 27 Research on High-Velocity Perforation Characteristics of Elliptical Cross-Section Truncated Ogive Projectile
- 27.1 Introduction
- 27.2 Simulation Method and Verification
- 27.3 The Penetration Characteristics of the ETOP
- 27.3.1 Perforation Progress
- 27.3.2 High-Velocity Perforation Characteristics of Elliptical Cross-Section Projectile
- 27.4 Conclusion
- References
- 28 Study on Downhole Torque Prediction Method Combining Machine Learning and Mechanism Model
- 28.1 Introduction
- 28.2 Prediction of Rotary Torque
- 28.3 Mechanical Model of Tubular in Rotary Drilling
- 28.4 Downhole Torque Calculation Based on Soft Rope Model
- 28.5 Case Study
- 28.5.1 Basic Information of Well A
- 28.5.2 Prediction of Rotary Torque
- 28.6 Conclusion
- Appendix A: Empirical Model of Torque on Bit in Horizontal Well
- References
- 29 Wellbore Temperature and Pressure Field Model Considering the Segmented Rheological Model
- 29.1 Introduction
- 29.2 Study on Rheological Patterns of Drilling Fluids
- 29.2.1 Existing Rheological Patterns and Their Characteristics
- 29.2.2 Research Status of Rheology of Drilling Fluid at High Temperature and High Pressure and Applicability of Rheological Mode of Drilling Fluid
- 29.3 Rheological Test Experiments of Water-Based and Oil-Based Drilling Fluids
- 29.4 Wellbore Thermobaric Field Model in Segmented Rheological Mode
- 29.5 Conclusion
- References
- 30 Enhancing Effect of Leeward Side Deflector on High-Speed Trains Aerodynamic Performance Under Crosswinds
- 30.1 Introduction
- 30.2 Method and Model
- 30.2.1 Geometry of the Train
- 30.2.2 Computational Domain and Boundary Conditions
- 30.2.3 Mesh Strategy
- 30.3 The Flow Mechanism of Different Deflector Positions
- 30.3.1 Aerodynamic Forces
- 30.3.2 The Time-Averaged Flow Structures
- 30.3.3 Instantaneous Flow Structures
- 30.4 Conclusion
- References
- 31 Consideration and Technical Feasibility Research of Multi-source Collaborative Gas Supply in China
- 31.1 Introduction
- 31.2 China's Natural Gas Consumption Status and Main Sources
- 31.3 Feasibility of Land Infrastructure for Multi-source Collaborative Gas Supply
- 31.3.1 China's LNG Terminal Capacity
- 31.3.2 China's UGS Construction Situation
- 31.3.3 The Connectivity of the Onshore Pipeline Network
- 31.4 Technical Feasibility of Gas Well Production Control
- 31.4.1 Effect of Decrease or Increase on Gas Well Productivity
- 31.4.2 Solution Measures Affecting Gas Recovery
- 31.5 Discussion on Multi-source Collaborative Gas Supply Measures
- 31.5.1 Early Gas Drive Oil Recovery and Late Gas Production
- 31.5.2 Domestic Produced Gas and "Production, Injection, Storage and Sales" Full Life Reservoir Management
- 31.6 Conclusions and Recommendations
- References
- 32 Study on Constitutive Relation of PVC Foam Based on Microstructure Model
- 32.1 Introduction
- 32.2 Materials and Experiments
- 32.2.1 Materials
- 32.2.2 Experiments
- 32.3 Finite Element Simulation
- 32.3.1 Parameter Setting
- 32.3.2 FEA Results
- 32.4 Effect of Different R Value and Relative Density
- 32.5 Prediction Formula of Tensile Elastic Modulus and Yield Strength
- 32.5.1 Tensile Elastic Modulus
- 32.5.2 Tensile Yield Strength
- 32.6 Tensile Constitutive Equation
- 32.6.1 Proposed Constitutive Model
- 32.6.2 Prediction of Constitutive Model
- 32.7 Conclusion
- References
- 33 A Bitcoin Address Multi-classification Mechanism Based on Bipartite Graph-Based Maximization Consensus
- 33.1 Introduction
- 33.2 Related Work
- 33.2.1 Bitcoin Address Clustering
- 33.2.2 Address Service Classification
- 33.2.3 Motivation and Contribution
- 33.3 Proposed Method
- 33.3.1 Transaction Retrieval and Pre-processing
- 33.3.2 Feature Extraction
- 33.3.3 Results Consensus Model
- 33.4 Experiment and Evaluation
- 33.4.1 Feature Contribution Analysis
- 33.4.2 Model Accuracy Evaluation
- 33.4.3 Confusion Matrix
- 33.5 Conclusion
- References
- 34 DSBT: Research on Soulbound Token Mechanism Based on Consortium Blockchain and Decentralized Identity
- 34.1 Introduction
- 34.2 Related Technology Research
- 34.2.1 Digital Identity
- 34.2.2 Blockchain and Web3.0 Technology Research
- 34.3 Decentralized Identity Technology
- 34.3.1 DID Structure and Operation Process
- 34.3.2 Verifiable Credentials
- 34.3.3 DID Verifiable Representation
- 34.3.4 DID Identity Hub
- 34.3.5 Summary
- 34.4 Add SBT to DID-DSBT Based on Decentralized Identity
- 34.4.1 Conception
- 34.4.2 Identity Hub Based on DSBT-The Real Body of DSBT
- 34.4.3 Displayable Credentials-DSBT Veil of Free Choice
- 34.4.4 DCs Meta Component
- 34.4.5 DCs Operating Mechanism
- 34.5 Application of DSBT
- 34.5.1 Risks and Coping Mechanisms of DSBT
- 34.5.2 Application of DSBT in the Scenario of Active Health Intelligent Care Platform for the Elderly
- 34.6 Summary and Prospect
- References
- 35 Hydraulic Fracture Propagation in Layered Rocks: Research Combining 3D FEM Modeling and Laboratory Experiments
- 35.1 Introduction
- 35.2 Numerical Model
- 35.2.1 Numerical Simulation Method
- 35.2.2 FEM Numerical Model and Parameter Setting
- 35.2.3 Numerical Simulation Results and Discussion
- 35.3 Experimental Comparison
- 35.3.1 Experimental Apparatus
- 35.3.2 Specimen Preparation
- 35.3.3 Experimental Scheme
- 35.3.4 Experimental Results and Discussion
- 35.4 Conclusions
- References
- 36 Numerical Calculation of Equivalent Continuum Model for Fractured Reservoir Based on Meshless Generalized Finite Difference Method
- 36.1 Introduction
- 36.2 Basic Principles
- 36.2.1 Equivalent Permeability Tensor Calculation Principle
- 36.2.2 Generalized Finite Difference Theory
- 36.3 Numerical Example
- 36.4 Conclusion
- References
- 37 Numerical Simulation Methods for Nonlinear Mechanical Behaviors of Confined Prestressed Hollow Core Wall Panels
- 37.1 Introduction
- 37.2 Prestressed Hollow Core Wall Structures
- 37.3 Numerical Simulation Methods
- 37.4 Simulation Results
- 37.5 Discussion
- 37.5.1 Simulation for Monotonically Loaded Specimens
- 37.5.2 Simulation for Cyclically Loaded Specimens
- 37.6 Conclusion
- References
- 38 Design and Experimental Study of Raindrop High-Speed Emission System
- 38.1 Introduction
- 38.2 Methodologies
- 38.2.1 Loading Principle
- 38.2.2 Raindrop Emission Adapter Designing
- 38.2.3 Achievements of Controllable Parameters
- 38.3 Experiments and Results
- 38.3.1 Experimental Realization
- 38.3.2 Processing and Interpretation of Experimental Data
- 38.4 Conclusions
- References
- 39 Design of Long-Span Continuous Beam Bridge with Corrugated Steel Webs Constructed by Cantilever Assembly
- 39.1 Introduction
- 39.2 Bridge Scheme
- 39.3 Design Parameters
- 39.3.1 Technical Standards
- 39.3.2 Building Materials
- 39.3.3 Structural Parameters
- 39.3.4 Construction Process of Cantilever Assembly of Box Girder
- 39.4 Finite Element Simulation
- 39.4.1 Model Establishment
- 39.4.2 FEM Simulation Results
- 39.5 Conclusion
- References
- 40 Meshless Generalized Finite Difference Method for Gas-Water Two-Phase Flow Equation of Complex-Shape Shale Gas Reservoirs
- 40.1 Introduction
- 40.2 Control Equations for Gas-Water Two-Phase Flow in Shale Gas Reservoirs
- 40.3 Basic Theory of Generalized Finite Differences
- 40.4 The Control Equation Discretization and Boundary Conditions
- 40.5 Numerical Example
- 40.6 Conclusion
- References
- 41 Cuttings Transport: Tripping Analysis Based on a Dynamic Layering Method via CFD
- 41.1 Introduction
- 41.2 Concept of Tripping and Methodology
- 41.3 Results and Discussion
- 41.3.1 Tripping Without Circulation
- 41.3.2 Tripping with Circulation
- 41.3.3 Impact of the Connector's Length
- 41.3.4 Impact of the Connector's Diameter
- 41.4 Results and Discussion
- References
- 42 SPH Simulation of Solitary Wave Impact on Coastal Bridge Superstructures
- 42.1 Introduction
- 42.2 Mathematical Formulations
- 42.2.1 Governing Equations
- 42.2.2 Numerical Formulations of SPHinXsys
- 42.3 Results and Discussion
- 42.3.1 Solitary Wave Interaction with a Suspended Flat Plate
- 42.3.2 Solitary Wave Interaction with a Coastal-Bridge Deck
- 42.4 Concluding Remarks
- References
- 43 Numerical Study on Smoke Diffusion Distance Induced by a Moving Vehicle in Road Tunnel Using Dynamic Mesh
- 43.1 Introduction
- 43.2 Numerical Model
- 43.2.1 Tunnel Model
- 43.2.2 Dynamic Mesh Model
- 43.2.3 CFD Methods and Boundary Conditions
- 43.2.4 Verification of Numerical Model
- 43.3 Results and Discussion
- 43.3.1 Dynamic Smoke Diffusion
- 43.3.2 Moving Vehicle Speed
- 43.3.3 Fire Heat Release Rate
- 43.4 Conclusion
- References
- 44 Static Aeroelastic Analysis of Electric Vertical Takeoff and Landing Aircraft ET480
- 44.1 Introduction
- 44.2 Aeroelastic Modeling of ET480
- 44.2.1 Structure Modeling
- 44.2.2 Aerodynamic Modeling
- 44.3 Aeroelastic Analysis of ET480
- 44.3.1 Calculation Working Condition
- 44.3.2 Analysis of Fluid-Structure Coupling Calculation Results
- 44.4 Conclusion
- References
- 45 Study on Stress Variation and Sealing of Casing-Cement Ring-Strata Assemblies Under Sour Gas Production Conditions
- 45.1 Instruction
- 45.2 Numerical Modeling
- 45.2.1 Cementing Interface Theory and Control Equation
- 45.2.2 Model Assumption
- 45.2.3 Finite Element Model Establishment and Parameter Setting
- 45.3 Numerical Simulation Results
- 45.3.1 Corrosion of Casing Pipe
- 45.3.2 Cement Corrosion
- 45.4 Conclusion
- References
- 46 RLGBG: A Reachable Landmark Grouping Based IP Geolocation Method for Unreachable Target
- 46.1 Introduction
- 46.2 Related Work
- 46.3 Proposed Method
- 46.3.1 Framework and Main Steps
- 46.3.2 Landmark Grouping
- 46.3.3 IP Block Mergence
- 46.3.4 Weighted Geolocation of Target
- 46.4 Experiment
- 46.4.1 Experimental Settings
- 46.4.2 Overall Performance
- 46.4.3 Comparison
- 46.5 Conclusion
- References
- 47 Deepwater Choke and Well Killing Manifold Automatic Control Pressure System and Simulation Experiments
- 47.1 Introduction
- 47.2 Choke and Kill Manifold Automatic Control System
- 47.3 Indoor Simulation Experiment System
- 47.4 Well Killing Automatic Control Simulation Experiment
- 47.4.1 Fast Control and Stability Tests Under Single-Phase Flow Conditions
- 47.4.2 Fast Control and Stability Tests Under Two-Phase Flow Conditions
- 47.5 Conclusion
- References
- 48 Prediction of Horizontal and Vertical Distribution Trend of Formation Pressure and Characteristics of Safety Density Window in Yinggehai Basin
- 48.1 Regional Background
- 48.1.1 Regional Formation Pressure Characteristics
- 48.1.2 Depth of Overpressure Top Surface
- 48.2 Measured Data Analysis and "Horizontal and Vertical" Distribution Trend of Formation Pressure
- 48.3 Summary of Measured Formation Pressure Data
- 48.3.1 Prediction of the Trend of Horizontal and Vertical Formation Pressure Distribution in the Block
- 48.4 Analysis of Characteristics of Block Security Density Window
- 48.4.1 Statistics and Analysis of the Safety Density Window of Complex Accident Points
- 48.4.2 Safety Density Window Characteristics for Individual Wells and Zones
- 48.5 Conclusion
- References
- 49 Development of Multi-level Substructure Analysis and Solution Framework Based on SiPESC.FEM
- 49.1 Introduction
- 49.2 The Multi-level Substructure Algorithm
- 49.2.1 Static Condensation
- 49.2.2 A Unified Substructure Analysis Framework
- 49.3 Software Design
- 49.3.1 Architecture Design
- 49.3.2 Component Design
- 49.3.3 Parallel Design
- 49.4 Development Key Points
- 49.4.1 Domain Decomposition
- 49.4.2 Memory Management
- 49.4.3 Calculation of Repetitive Structure
- 49.5 Numerical Examples
- 49.5.1 Multi-layer Graph Partitioning
- 49.5.2 Substructure Calculation for Multiple Analysis Types
- 49.5.3 Parallel Computing and Large-Scale Computing
- 49.6 Conclusion
- References
- 50 Simulation Study on the Displacement Characteristics of an Ultra-Low Permeability Reservoir by CO2-WAG Flooding
- 50.1 Introduction
- 50.2 Numerical Model Establishment
- 50.2.1 Experimental Results
- 50.2.2 Numerical Simulation Model
- 50.3 Production Performance
- 50.4 CO2-WAG Effects
- 50.4.1 Reservoir Energy Replenishment
- 50.4.2 Expanding Sweeping Volume
- 50.4.3 Improving Displacement Efficiency
- 50.5 Sensitivity Analysis
- 50.5.1 Flooding Timing
- 50.5.2 CO2-Water Ratio
- 50.5.3 Alternating Cycle
- 50.6 Conclusions
- References
- 51 Well Test Model for Double-Porosity Media Three-Zone Composite Reservoir Considering Interface Resistance
- 51.1 Introduction
- 51.2 Physical Model
- 51.3 Establishment and Solution of the Mathematical Model
- 51.4 Analysis of Typical Curve Characteristics and Sensitivity Factors
- 51.4.1 Effect of the Interface Skin
- 51.4.2 Effect of Storability Ratio
- 51.4.3 Effect of Cross-Flow Coefficient
- 51.4.4 Effect of Radius of Each Zone
- 51.4.5 Effect of Mobility ratio
- 51.5 Conclusions
- References
- 52 Production Characteristics Analysis of CO2 Huff-And-Puff Development in Tight Oil Reservoirs
- 52.1 Introduction
- 52.2 Numerical Model Establishment
- 52.2.1 Experimental Results
- 52.2.2 Numerical Simulation Model
- 52.3 Production Performance
- 52.4 CO2 Huff and Puff Effects
- 52.4.1 Reservoir Energy Replenishment
- 52.4.2 Expanding Sweeping Volume
- 52.4.3 Improving Displacement Efficiency
- 52.5 Sensitivity Analysis
- 52.5.1 Cyclic Injection Rate
- 52.5.2 Soaking Time
- 52.5.3 CO2 Injection Rate
- 52.6 Conclusions
- References
- 53 Under the Blast Impact Load Study of Analytical Prediction Method for Plastic Response of Stiffened Plate
- 53.1 Introduction
- 53.2 Energy Method-Simplified Theoretical Derivation
- 53.2.1 Determination of Deformation Modes
- 53.2.2 Dynamic Response Analysis of Plasticity
- 53.2.3 Example Analysis
- 53.3 Analyzed by Numerical Simulation
- 53.3.1 Finite Element Model
- 53.3.2 Calculation Results Analysis
- 53.4 Conclusions
- References
- 54 A Blockchain-Based Method for Power-Related Data Quality Auditing
- 54.1 Introduction
- 54.2 Related Work
- 54.2.1 Power-Related Data Processing Based on Federated Learning
- 54.2.2 Incentive Mechanisms for Federated Learning
- 54.2.3 Blockchain-Based Data Quality Auditing
- 54.3 Method
- 54.3.1 Overall Structure
- 54.3.2 Blockchain Framework
- 54.3.3 Noise Addition Mechanism
- 54.3.4 Group Aggregation Quality Audit
- 54.4 Experiments
- 54.4.1 Experimental Setup
- 54.4.2 The Performance of the Data Quality Audit Algorithm
- 54.4.3 Time Overhead of Blockchain Framework
- 54.4.4 Time Overhead of Noise Addition Mechanism
- 54.5 Conclusions
- References
- 55 FEDSET: Federated Random Forest Based on Differential Privacy
- 55.1 Introduction
- 55.2 Related Work
- 55.3 Method
- 55.3.1 Overall Structure
- 55.3.2 Privacy Enhancement
- 55.3.3 CART Classification Tree
- 55.3.4 Model Evaluation and Optimisation
- 55.4 Experiments
- 55.4.1 Experimental Setup
- 55.4.2 Matrics
- 55.4.3 Experimental Results
- 55.5 Conclusions
- References
- 56 Study on Analytical Prediction Method for Plastic Response of Folded Sandwich Plates Under Explosion Impact Loads
- 56.1 Introduction
- 56.2 Method of Theoretical Analysis and Prediction for Sandwich Panels
- 56.2.1 Initial Kinetic Energy of the Sandwich Panel
- 56.2.2 Compression of Sandwich Panel Core
- 56.2.3 Deformation of the Whole Sandwich Panel
- 56.3 Comparison and Analysis of the Results of Theoretical Simulations
- 56.3.1 Plastic Response of the Collapsible Sandwich Panels Under Different Impulse Loadings
- 56.3.2 To Determine the Influence of Geometric Parameters on the Plastic Response of the Pliable Sandwich Plates
- 56.4 Conclusions
- References
- 57 Numerical Simulation and Experimental Analysis of Two-Dimensional Wedge-Shaped Structure's Water Entry with Boulder Impact
- 57.1 Introduction
- 57.2 Finite Element Model
- 57.3 Analysis of Calculate Results
- 57.3.1 Due to the Effect of Different Tilt Angles on the Impact Pressure of the Wedge
- 57.3.2 To Determine the Effect of Different Water Entry Velocities on the Wedge Impact Pressure
- 57.3.3 Vertical Incidence Force
- 57.3.4 Impact Pressure Coefficient
- 57.3.5 Raising the Free Liquid Surface of the Wedge Body Upon Entering the Water
- 57.4 Conclusions
- References
- 58 Fuzzy-Logic-Based Integrated Orbit-Attitude-Vibration Prescribed-Time Control for Large-Scale Flexible Spacecraft
- 58.1 Introduction
- 58.2 Integrated Dynamics
- 58.3 Controller Design
- 58.4 Simulation Results
- 58.5 Conclusion
- References
- 59 Study on the Classification Method of the Usage Severity of Aircraft Structures
- 59.1 Preface
- 59.2 Aircraft Design Method and Equivalent Damage
- 59.2.1 Mission Profile
- 59.2.2 Equivalent Damage Theory
- 59.3 Classification Method of Aircraft Usage Severity
- 59.3.1 Classification of Aircraft Usage
- 59.3.2 An Interval Method for Classification of Aircraft Severity Usage
- 59.4 Interval Classification of the Usage Severity of a Certain Type of Aircraft
- 59.5 Conclusion
- References
- 60 Six Degrees of Freedom Simulation for Skipping Stones Based on Quaternion Method in SPH Framework
- 60.1 Introduction
- 60.2 SPH Model and Quaternion Method
- 60.2.1 Brief Introduction to SPH Method
- 60.2.2 6-DOF Equations of Quaternion Method
- 60.3 The SPH Simulation of Skipping Stones
- 60.4 Conclusions and Prospects
- References
- 61 Deep Reinforcement Learning-Based Intelligent Decision-Making for Orbital Game of Satellite Swarm
- 61.1 Introduction
- 61.2 Problem Formulation
- 61.2.1 Orbital Game Model
- 61.2.2 Relative Dynamics Model
- 61.3 Intelligent Decision Modeling
- 61.3.1 Deep Reinforcement Learning Algorithm
- 61.3.2 Algorithm Design
- 61.4 Simulation and Analysis
- 61.4.1 Parameter Setting
- 61.4.2 Result Analysis
- 61.5 Conclusion
- References
- 62 Numerical Studies on the Temperature and Pressure Changes of a Maglev Train Surface Moving Dynamically in a Vacuum Tube
- 62.1 Introduction
- 62.2 Methodology
- 62.2.1 Fundamental Mathematical Model
- 62.2.2 Isentropic Limit and Kantrowitz Limit
- 62.3 Numerical Model
- 62.3.1 Computational Model and Boundary Conditions
- 62.3.2 Numerical Mesh
- 62.4 Result and Discussion
- 62.4.1 Pressure Distribution on the Surface of the Train
- 62.4.2 Temperature Distribution on the Surface of the Train
- 62.5 Conclusion
- References
- 63 A Model-Based Pre-feedback Decoupling Control Framework for Ground Flutter Simulation Test
- 63.1 Introduction
- 63.2 Aerodynamic Loading Control System
- 63.2.1 Aerodynamic Real-Time Reconstruction System
- 63.2.2 Aerodynamic Loading System Modeling
- 63.2.3 Model-Based Pre-feedback Compensation Decoupling Control
- 63.3 Experimental Verification
- 63.3.1 Experimental Arrangement
- 63.3.2 Model Parameters of Multi-exciter-structure Coupling System
- 63.3.3 Multi-point Excitation Force Controller Design
- 63.3.4 Waveform Control Experiment of Output Force of Exciter
- 63.3.5 Ground Flutter Simulation Test
- 63.4 Conclusion
- References
- 64 Evaluating Contribution of Training Samples for Differentially Private Machine Learning
- 64.1 Introduction
- 64.2 Related Works
- 64.3 Preliminary
- 64.3.1 Differential Privacy in Deep Learning
- 64.3.2 Membership Inference Attack
- 64.4 Dataset Evaluation Scheme
- 64.4.1 Privacy-Requirement
- 64.4.2 Acc-Influence
- 64.4.3 Sub-contribution
- 64.5 Empirical Evaluation
- 64.5.1 Experimental Setup
- 64.5.2 Membership Inference Attack Based on Differentiation Threshold
- 64.5.3 Validation of 'Contribution'
- 64.6 Conclusion
- References
- 65 Research on Fire Smoke Control of an Ultra-wide Road Tunnel with Lateral Exhaust
- 65.1 Introduction
- 65.2 Numerical Methods
- 65.2.1 Numerical Model and Boundary Condition
- 65.2.2 Numerical Mesh
- 65.2.3 Comparison with Experimental Results
- 65.3 Results and Discussion
- 65.3.1 The Most Unfavorable Fire Source Location of Smoke Control
- 65.3.2 Number of Smoke Vent Openings
- 65.3.3 Smoke Exhaust Volumes
- 65.4 Conclusion
- References
- 66 Deformable Special-Shaped Projectile Impacting Basalt Target: Experiments and Analysis
- 66.1 Introduction
- 66.2 Experiments
- 66.3 Experimental Results and Analysis
- 66.3.1 Projectile Deformation Mode and Two-Phase Impact Process
- 66.3.2 Crushing Zone Morphology and Mass of Spalled-Rock
- 66.4 Conclusion
- References
- 67 Research on the THMC Coupling Model for Enhanced Geothermal Systems Based on the Framework of EDFM
- 67.1 Introduction
- 67.2 Governing Equation
- 67.2.1 Equations of Fluid Flow
- 67.2.2 Equations of Heat Transfer
- 67.2.3 Equations of Solute Transportation
- 67.2.4 Equations of Mechanical Equilibrium
- 67.3 Numerical Methods
- 67.4 Model Verification
- 67.4.1 Verification of THC Coupling Method
- 67.4.2 Verification of XFVM
- 67.5 Application and Result
- 67.5.1 Computational Model
- 67.5.2 Computational Model
- 67.6 Conclusion
- References
- 68 Synthetic Data: Development Status and Prospects for Military Applications
- 68.1 Introduction
- 68.2 Main Methods of Synthetic Data Generation
- 68.2.1 Data Synthesis Methods Based on Copula Function
- 68.2.2 Data Synthesis Methods Based on Bayesian Network
- 68.2.3 Data Synthesis Methods Based on Tree-Based Machine Learning
- 68.2.4 Data Synthesis Methods Based on Parameter Machine Learning
- 68.2.5 Data Synthesis Methods Based on GAN
- 68.3 Performance Evaluation of Synthetic Data
- 68.3.1 Data Utility
- 68.3.2 Information Leakage Risk
- 68.4 Application of Synthetic Data
- 68.4.1 Data Release
- 68.4.2 Automatic Driving
- 68.4.3 Software Testing
- 68.5 Military Application Prospect of Synthetic Data
- 68.5.1 Providing a Supplement to Real Data
- 68.5.2 Promoting Data Sharing
- 68.5.3 Accelerate the Development of Military Intelligence
- 68.6 Conclusion
- References
- 69 Experimental Study on Aeroacoustic of Counter-Rotating Propeller in Ground Acoustic Environment
- 69.1 Introduction
- 69.2 Experimental Principle
- 69.3 Experimental Device and Scheme
- 69.3.1 Experimental Platform
- 69.3.2 Experimental Conditions
- 69.3.3 Test Method
- 69.4 Experimental Results and Analysis
- 69.4.1 Aerodynamic Results and Analysis
- 69.4.2 Noise Results and Analysis
- 69.5 Conclusion
- References
- 70 Enhanced Geothermal System Performance Prediction Based on Deep Learning Neural Networks
- 70.1 Introduction
- 70.2 Neural Network Description
- 70.2.1 LSTM Network
- 70.2.2 CNN Network
- 70.2.3 LSTM and CNN Combinational Neural Network
- 70.3 Data Preparation and Preprocessing
- 70.3.1 Data Preparation
- 70.3.2 Prediction Accuracy Evaluation
- 70.4 Results and Discussions
- 70.4.1 Effects of Network Structure Parameters
- 70.4.2 A Case Study of the LSTM-CNN Combinational Network
- 70.4.3 Comparisons of Different Neural Networks
- 70.5 Conclusions
- References
- 71 The Influence of the Mesh Size on Numerical Simulations of Dynamic Buckling of the Stiffened Cylindrical Shell Subjected to Underwater Explosion Shock Wave
- 71.1 Introduction
- 71.2 Numerical Method and B-R Dynamic Buckling Criterion
- 71.2.1 Finite Element Model
- 71.2.2 The Coupled Acoustic-Structural Formulation
- 71.2.3 B-R Dynamic Buckling Criterion
- 71.3 Results and Discussion
- 71.3.1 Influence of the Mesh Size on Critical Dynamic Buckling Load
- 71.3.2 Dynamic Buckling Modes of the Stiffened Cylindrical Shell
- 71.4 Conclusions
- References
- 72 DDoS Detection Based on Sliding Window Entropy and Decision Tree with Programmable Switch
- 72.1 Introduction
- 72.2 System Overview
- 72.3 Information Entropy-Based Detection Mechanism
- 72.3.1 Detection Strategy Foundations
- 72.3.2 Model Design
- 72.3.3 Data Implementation
- 72.4 Machine Learning Based Detection Mechanisms
- 72.4.1 Algorithm Design
- 72.4.2 Algorithm Implementation
- 72.5 Evaluation
- 72.5.1 Experimental Setup
- 72.5.2 Evaluation Metrics
- 72.5.3 Entropy Estimation Evaluation
- 72.5.4 Evaluation Based on Packet Detection
- 72.6 Conclusion and Future Work
- References
- 73 Supply Forecast of Shared Parking Spaces in Social Parking Lots Around Primary Schools Based on Shared Parking Spaces
- 73.1 Introduction
- 73.2 Literature Review
- 73.3 Analysis of Parking Supply Characteristics of Parking Lots Around Primary Schools
- 73.3.1 Variation Rules of Typical Land-Use Berths
- 73.3.2 Overall Variation Characteristics of Berth Share
- 73.4 Prediction Model
- 73.4.1 ARIMA Model
- 73.4.2 BP Neural Network Model
- 73.5 Determine Model Parameters
- 73.5.1 Parameter Determination of ARIMA Model
- 73.5.2 Determination of BP Neural Network Model Structure
- 73.6 Comparison of Forecast Results
- 73.7 Summary
- References
- 74 Review on the Development of Multi-lateral Well Technology
- 74.1 Introduction
- 74.2 Progress of Multi-lateral Well Technology at Home and Abroad
- 74.3 Types and Advantages of Multi-lateral Wells
- 74.3.1 Multi-lateral Well Type
- 74.3.2 Multi-lateral Well Advantage
- 74.4 Key Technologies for Multi-lateral Wells
- 74.4.1 Lateral Well Drilling Technology
- 74.4.2 Lateral Well Completion Technology
- 74.5 Multi-lateral Well Application Examples
- 74.5.1 Ultra-short Radius Sidetracking Multi-branch Drilling Technology
- 74.5.2 Application of Multi-branch Wells in Geothermal Resources
- 74.5.3 Fishbone SAGD Horizontal Branching Well Drilling Technology
- 74.5.4 Stage 4 Branching Well Technology
- 74.5.5 Stage 5 Lateral Well Technology
- 74.6 Conclusion and Understanding
- References
- 75 A Robust Nonsingular Double-Boundary CHIEF Method for Full Wave Numbers
- 75.1 Introduction
- 75.2 Basic Theories of BEM
- 75.2.1 CBEM
- 75.2.2 VIBEM
- 75.3 Double-Boundary CHIEF Method
- 75.4 Singular Integral Problem
- 75.5 Numerical Example
- References
- 76 Numerical and Experimental Study on the Construction Process of the Pedestrian Bridge with a Curved Beam and Inclined Arch
- 76.1 Introduction
- 76.2 Bridge Overview
- 76.3 Construction Monitoring
- 76.3.1 Monitoring Stages
- 76.3.2 Stress Monitoring
- 76.3.3 Geometry Monitoring
- 76.4 Construction Simulation
- 76.5 Results and Discussions
- 76.5.1 Stress Results
- 76.5.2 Geometry Results
- 76.6 Conclusions
- References
- 77 Numerical Study on Fracture Formation and Propagation Law in the Perforating Process Based on FEM-SPH Coupling
- 77.1 Introduction
- 77.2 Theories of FEM-SPH Adaptive Coupling
- 77.3 Numerical Model
- 77.3.1 Geometric Model
- 77.3.2 Governing Equation
- 77.3.3 Boundary Conditions
- 77.4 The Law of Fracture Propagation and Its Influencing Factors During Perforation
- 77.4.1 Analyses of Crack Formation and Propagation
- 77.4.2 Perforation Fracture Propagation and In-Situ Stress Analysis
- 77.5 Conclusion
- References
- 78 Study on Degradation of Prestressed Concrete Beams in Hydrochloric Acid Environment Based on Stochastic Process
- 78.1 Introduction
- 78.2 Deterioration Model of Materials Under Hydrochloric Acid Corrosion
- 78.2.1 The Variation of pH Value of Concrete Pore Solution in Acidic Environment
- 78.2.2 Critical Chloride Concentration of Steel Bar Based on pH Value of Pore Solution
- 78.2.3 The Strength Degradation Characterized by pH Value
- 78.2.4 Equivalent Constitutive Model of Prestressed Strand Considering Stress Corrosion
- 78.3 Numerical Simulation Based on Stochastic Process
- 78.3.1 Stochastic Process Finite Element Simulation Method
- 78.3.2 Introduction of Finite Element Model of Experimental Beam
- 78.4 Results
- 78.4.1 Comparison of Experimental and Simulation Results
- 78.4.2 Load-Deflection Curves During Corrosion
- 78.4.3 Bearing Capacity of Corroded Prestressed Concrete Beam
- 78.5 Conclusions
- References
- 79 Prediction Model of Wellbore Temperature Field in Ultra-deep Shale Oil Horizontal Well During Managed Pressure Cementing
- 79.1 Introduction
- 79.2 Horizontal Well Temperature Field Model
- 79.2.1 Model Assumption
- 79.2.2 Physical Model
- 79.2.3 Mathematical Model
- 79.3 Model Solution
- 79.3.1 Initial Conditions and Boundary Conditions
- 79.3.2 Calculation Parameter
- 79.3.3 Calculation Process
- 79.4 Simulation Result Analysis
- 79.4.1 Casing Circulating Temperature Field
- 79.4.2 Annular Circulation Temperature Field
- 79.4.3 Formation Rock Temperature Field
- 79.4.4 Effect of Horizontal Section Length on Bottom Hole Temperature
- 79.4.5 Effect of Injection Parameter on Bottom Hole Temperature
- 79.5 Conclusion
- References
- 80 A Blockchain Based Documentation Sharing Framework for Copyright Protection
- 80.1 Introduction
- 80.2 Research Status
- 80.3 Documentation Sharing Platform System Architecture
- 80.3.1 Architecture Design
- 80.3.2 Functional Module Design
- 80.4 Evaluation
- 80.4.1 Time Indicator
- 80.4.2 Determination of Cosine Similarity Threshold
- 80.5 Conclusion
- References
- 81 Research on the Design of Blockchain-Based Aviation Physical and Chemical Testing System
- 81.1 Introduction
- 81.2 Aeronautical Physical and Chemical Testing Technology Research
- 81.2.1 Development and Status Quo of Aviation Physical and Chemical Testing Technology
- 81.2.2 Research on Aeronautical Physical and Chemical Testing Process
- 81.2.3 Current Situation and Disadvantages of Existing Aeronautical Physical and Chemical Testing System
- 81.3 Blockchain Technology Research
- 81.3.1 Blockchain Core Technology
- 81.3.2 The Advantages and Changes Brought About by Blockchain
- 81.4 Design of the Blockchain-Based Aviation Physical and Chemical Testing System
- 81.4.1 System Design Principles
- 81.4.2 System Design Goals
- 81.4.3 System Design Goals
- 81.4.4 System Core Function Design
- 81.4.5 System Improvement Efficiency Research
- 81.5 Summary and Outlook
- References
- 82 Coupled Axial-Rotational Motion of the Pipe on Cuttings Transport via CFD
- 82.1 Introduction
- 82.2 Concept of Back Reaming and Methodology
- 82.2.1 Concept of Back Reaming
- 82.2.2 Methodology
- 82.3 Results and Discussion
- 82.3.1 Impact of the Circulation Time
- 82.3.2 Impact of the Rotation Speed
- 82.3.3 Impact of the Fluid Velocity
- 82.3.4 Impact of the Tripping Velocity
- 82.4 Results and Discussion
- References
- 83 Design of General SDN Controller System Framework for Multi-domain Heterogeneous Networks
- 83.1 Introduction
- 83.2 The Challenge of Multi-domain Heterogeneous SDN Network
- 83.3 General SDN Controller System Framework for Multi-domain Heterogeneous Networks
- 83.3.1 Resource Unification Management Module
- 83.3.2 Adapter Module
- 83.4 Methodology
- 83.4.1 Information Model
- 83.4.2 Service Implementation Process
- 83.5 Instance Analysis
- 83.5.1 Design of Service Process of OpenFlow Adapter Sub-module
- 83.5.2 Design of Service Process of SR-MPLS Adapter Sub-module
- 83.6 Conclusion
- References
- 84 Systematic Evaluation of the Efficacy and Safety of Rivastigmine in Combination with Memantine for Mild to Moderate Alzheimer's Disease Based on MCMC Algorithm
- 84.1 Introduction
- 84.2 Materials and Methods
- 84.2.1 Search Strategy
- 84.2.2 Inclusion and Exclusion Criteria
- 84.2.3 Observed Indicators
- 84.2.4 Data Extraction and Quality Evaluation
- 84.2.5 Methods
- 84.3 Results
- 84.3.1 Results of the Literature Search
- 84.3.2 Literature Characteristics and Quality Evaluation
- 84.3.3 Meta-analysis Results
- 84.3.4 Mesh Meta-analysis
- 84.4 Discussion
- References
- 85 Perlite Pressure Calculation and Finite Element Simulation Study of LNG Storage Tank
- 85.1 Introduction
- 85.2 Relevant Dimensions and Material Parameters
- 85.3 Calculation Method
- 85.3.1 Calculation Method
- 85.3.2 Trial-Calculation Case
- 85.4 Finite Element Analysis
- 85.4.1 Statics Analysis
- 85.4.2 Buckling Analysis
- 85.5 Conclusion
- References
- 86 Study on the Steel Lazy Wave Riser Configuration via a Simplified Static Model Considering Critical Sensitive Factors
- 86.1 Introduction
- 86.2 Numerical Model
- 86.3 Initial Screening Trial-Case Data of SLWR Configurations
- 86.4 Impact Discussion of Critical Sensitive Factors
- 86.4.1 Hang-Off Angle
- 86.4.2 Turning Point Elevation
- 86.4.3 Content Density
- 86.5 Conclusion
- Appendix
- References
- 87 Numerical Simulation of Breathing Effect Induced by Drilling in Deep-Water Shallow Formations
- 87.1 Introduction
- 87.2 Exploration on the Mechanism of Breathing Effect Observed During Drilling in Deep-Water Formations
- 87.3 Finite Element Model
- 87.3.1 Model Establishment
- 87.3.2 Parameter Settings
- 87.3.3 Simulation Results and Verification
- 87.4 Sensitivity Analysis
- 87.4.1 Influence of Rock Parameters on Permeability-Induced Breathing Effect
- 87.4.2 Influence of Mud Properties on Permeability-Induced Breathing Effect
- 87.4.3 Influence of Bottomhole Pressure Difference on Permeability-Induced Breathing Effect
- 87.5 Finite Element Model
- References
- 88 A Review on Vector Form Intrinsic Finite Element Method and Its Application
- 88.1 Introduction
- 88.2 Vector Form Intrinsic Finite Element Theory
- 88.2.1 Point Value Description
- 88.2.2 Path Element
- 88.2.3 Fictitious Motion
- 88.2.4 Numerical Solution
- 88.3 Development of Vector Form Intrinsic Finite Element Method
- 88.3.1 Development of Element Types
- 88.3.2 Improvement in Analysis Mode and Theory
- 88.4 Application of Vector Form Intrinsic Finite Element Method
- 88.4.1 Mechanical Behavior Analysis
- 88.4.2 Engineering Applications
- 88.5 Future Trends on Vector Form Intrinsic Finite Element Method
- 88.5.1 Prediction of Failure Behavior Modes
- 88.5.2 Combination of Cloud Computing for High-Speed Parallel Computing
- 88.5.3 Application on Dynamic Analysis of Large Structure Based on Hybrid Simulation
- 88.5.4 Dynamic Monitoring and Assessment based on Digital Twin Technology
- 88.6 Conclusion
- References
- 89 Insight into the Mechanical Behaviour of Cooling Rate-Dependent Blistering Failures in Alumina Films
- 89.1 Introduction
- 89.2 Residual Stresses in Alumina Scales
- 89.3 Interface Fracture Properties
- 89.4 Finite Element Simulation and Results
- 89.5 Conclusions
- References
- 90 Search for Universal Minimum Drag Resistance Underwater Vehicle Hull Using CFD
- 90.1 Problem Formulation and Approach
- 90.2 Preliminary Results
- References
- 91 Additive Manufacturing Simulation: A Review
- 91.1 Introduction
- 91.2 Additive Manufacturing
- 91.2.1 Definition and Classification
- 91.2.2 Simulation
- 91.3 Conclusions
- References
- 92 A Novel Immersed Framework of Computational Fluid Structure Interaction
- 92.1 Introduction
- 92.2 Theory
- 92.2.1 CutFEM Method
- 92.2.2 Staggered Scheme for Fluid Solid Coupling
- 92.3 Numerical Examples
- 92.3.1 Unsteady Flow Over Fixed Circular Bodies for Re = 100
- 92.3.2 Vortex Induced Vibration of a Circular Cylinder
- 92.3.3 Flexible Beam in Cross Flow
- 92.3.4 Vortex-Induced Vibrations of a Flexible Beam
- 92.4 Conclusion
- References
- 93 Mechanical Modeling and Structural Optimization of Spindle System of Static Bias Point the Bit Rotary Steerable System
- 93.1 Introduction
- 93.2 Working Principle of Static Bias Point the Bit RSS
- 93.3 Mechanical Analysis of Biasing Spindle
- 93.3.1 Establishment of Mechanical Model of Biasing Spindle
- 93.3.2 Establishment and Solution of Mechanical Equations
- 93.4 Structural Optimization Analysis
- 93.5 Summary
- References
- 94 Calculation Model of Annular Pressure Loss in Slim Hole Considering Drill String Rotation, Eccentricity and Joint
- 94.1 Introduction
- 94.2 Basic Calculation Model
- 94.2.1 Rheological Model of Drilling Fluid
- 94.2.2 Basic Calculation Model of Annular Pressure Loss in Slim Hole
- 94.2.3 Calculation Model of Drill String Eccentricity Factor
- 94.2.4 Calculation Method of Influence Factor of Drill String Joint
- 94.2.5 Calculation Model of Drill String Rotation Factor
- 94.3 Numerical Simulation of Single Phase Flow of Slim Hole Drilling Fluid
- 94.3.1 Mixed Horizontal Orthogonal Design of Numerical Simulation Experiment
- 94.3.2 Regression Fitting Calculation Model of Drill String Rotation Factor
- 94.3.3 Model Calculation Results and Law Analysis
- 94.3.4 Field Application of Numerical Mode
- 94.4 Conclusion
- References
- 95 A Simulation Model of Resilience Evaluation for Natural Gas Pipeline Network Systems
- 95.1 Introduction
- 95.2 Methodology
- 95.3 Numerical Example
- 95.3.1 NGPNS Sample
- 95.3.2 Affected Areas Analysis
- 95.3.3 NGPNS Resilience Analysis
- 95.4 Conclusions
- References
- 96 Staged Deployment of LEO Communication Satellite Constellation Based on Real Option Theory
- 96.1 Introduction
- 96.2 Problem Statement
- 96.3 Staged Development
- 96.3.1 Traditional Design and Deployment Approach
- 96.3.2 Flexible Approach: Real Option Analysis
- 96.4 Scenarios Simulation
- 96.5 Conclusion
- References
- 97 Multiphase Flow Model of Gas Hydrate Production Wellbore Based on Double-Layer Continuous Pipe
- 97.1 Introduction
- 97.2 Wellbore Multiphase Flow Model
- 97.2.1 Hydrate Decomposition Model
- 97.2.2 Hydraulic Model
- 97.2.3 Wellbore Heat Transfer Model
- 97.2.4 Auxiliary Equation
- 97.3 Model Solving and Verification
- 97.4 Case Analysis
- 97.4.1 Wellbore Temperature Distribution
- 97.4.2 Wellbore Pressure Distribution
- 97.4.3 Hydrate Decomposition Rate
- 97.4.4 Phase Volume Fraction Distribution
- 97.5 Conclusion
- References
- 98 Multiphase Flow Behaviors and Wellhead Backpressure Responses During Managed Pressure Drilling Well Control Considering Gas Dissolution
- 98.1 Introduction
- 98.2 Model Development
- 98.2.1 Hydrodynamic Model
- 98.2.2 Heat Transfer Model
- 98.2.3 Gas Solubility Model
- 98.2.4 Auxiliary Equation
- 98.2.5 Model Solving
- 98.3 Model Verification
- 98.4 Results and Discussion
- 98.4.1 Gas Dissolution
- 98.4.2 Wellbore Heat Transfer
- 98.4.3 Kill Rate
- 98.5 Conclusion
- References
- 99 Bilinear Auto-Bäcklund Transformation, Shock Waves, Breathers and X-Type Solitons for a (3 + 1)-Dimensional Generalized B-Type Kadomtsev-Petviashvili Equation in a Fluid
- 99.1 Introduction
- 99.2 Bilinear Auto-BT for Eq. (99.1)
- 99.3 Shock-Wave Solutions for Eq. (99.1)
- 99.4 Breather Solutions for Eq. (99.1)
- 99.5 X-Type Soliton Solutions for Eq. (99.1)
- 99.6 Conclusions
- References
- 100 Study on Stress Area Law and Detection Range at Key Locations of Natural Gas Station
- 100.1 Field Correction Model Data Test and Conclusion
- 100.2 Suggestions on Detection Range of Key Positions
- References
- 101 Numerical Simulation of Impact Response of Board-Level Packaging Structure
- 101.1 Introduction
- 101.2 The Board-Level Package Drop Shock Response
- 101.2.1 Overview of BGA Packages and Related Principles
- 101.2.2 BGA Board-Level Package Drop Reliability Analysis
- 101.3 The Board-Level Package Drop Impact Simulation Modeling
- 101.3.1 Model Building and Material Properties
- 101.3.2 Mesh Division and Boundary Conditions
- 101.4 Simulation Results and Analysis
- 101.4.1 Board-Level Package Drop Shock Response Analysis
- 101.4.2 Effect of Different Solder Joint Distributions on Drop Impact Response
- 101.5 Conclusion
- References
- 102 A Graphical Computing-Based Image Registration Method for LED Chips
- 102.1 Introduction
- 102.2 Image Pre-processing
- 102.2.1 Image Denoising and Feature Enhancement
- 102.2.2 Image Segmentation
- 102.3 Image Feature Calculation and Registration
- 102.3.1 Image Registration Method Design
- 102.3.2 Calculation and Extraction of Image Features
- 102.3.3 Image Registration Based on Graph Computation and Hough Transform
- 102.4 Experiment and Analysis
- 102.5 Conclusion
- References
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This eBook uses Watermark-DRM, a „soft” copy protection. This means that there are no technical restrictions to prevent illegal distribution. However, there is a personalised watermark embedded in the eBook that can be used to identify the purchaser of the eBook in the event of misuse and to provide evidence for legal purposes.
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