Structural Design Optimization Considering Uncertainties
Structures & Infrastructures Book , Vol. 1, Series, Series Editor: Dan M. Frangopol
Published on 7. February 2008
656 pages
978-0-203-93852-2 (ISBN)
Description
Uncertainties play a dominant role in the design and optimization of structures and infrastructures. In optimum design of structural systems due to variations of the material, manufacturing variations, variations of the external loads and modelling uncertainty, the parameters of a structure, a structural system and its environment are not given, fi
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ebooks
Target group
College/higher education
File size
10,23 MB
ISBN-13
978-0-203-93852-2 (9780203938522)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Yannis Tsompanakis | Nikos D. Lagaros | Manolis Papadrakakis
Structural Design Optimization Considering Uncertainties
Structures & Infrastructures Book , Vol. 1, Series, Series Editor: Dan M. Frangopol
Book
02/2008
1st Edition
CRC Press
€423.40
Shipment within 15-20 days
Persons
Yiannis Tsompanakis is an Assistant Professor of structural earthquake engineering. He has many research and practical projects in earthquake engineering and computational mechanics. His main interests include: computational dynamics, structural and geotechnical earthquake engineering, structural optimization, probabilistic mechanics, structural assessment, applications of artificial intelligence methods in engineering. Nikos D. Lagaros is an Assistant Professor of Civil Engineering. His main research interests include: *nonlinear dynamic analysis of concrete and steel structures under seismic loading, *performance-based earthquake engineering, *structural design optimization of real-world structures, *seismic risk and reliability analysis, * neural network in structural engineering, *fragility evaluation of reinforced concrete and steel structures, *inverse problems in structural dynamics, *parallel and distributed computing/Grid computing technologies, *evolutionary computations and *geotechnical earthquake engineering. Manolis Papadrakakis is a Professor in Civil Engineering His research activities are focused on the development and the application of the latest computer methods and technology to structural engineering analysis and design. He has written and edited many publications, both in English and in Greek.
Content
Part A. Robust design optimization (RDO) A1. Basic aspects on RDO *1: Evaluation and Maximization of Robustness of Trusses by using Semidefinite Programming Yoshihiro Kanno and Izuru Takewaki. *2: A Taylor expansion approach to the design optimization of structures with randomness Ioannis Doltsinis, Zhan Kang. A2. Theoretical advances on RDO *3: Cost-Benefit Optimization and Risk Acceptability for Maintained Structures R. Rackwitz and A. Joanni. *4: Efficient robust-design optimization involving dynamic reliability problems Alexandros A. Taflanidis and James L. Beck. *5: Robust design optimization using possibility theory Byeng Dong Youn. *6: Bridging the gap between robust and reliability-based design optimization with the saddlepoint expansion Jorge E. Hurtado. A3. Application driven chapters on RDO *7: Info-gap robust design of passively controlled structures with load and model uncertainties Izuru Takewaki and Yakov Ben-Haim. *8: Efficient computing techniques for structural reliability-based robust design optimization Nikos D. Lagaros, Vaggelis Plevris, and Yiannis Tsompanakis. Part B. Reliability-based design optimization (RBDO) B1. Basic aspects on RBDO *9: Reliability-based structural optimization Alaa Chateauneuf. *10: Efficient approaches for system reliability-based design optimization Zissimos P. Mourelatos, Jinghong Liang and Efstratios Nikolaidis. B2. Theoretical advancements and academicapplications of RBDO *11: Numerical and semi-numerical methods for reliability-based design optimization G. Kharmanda. *12: Non-probabilistic design optimization with insufficient data using possibility and evidence theories Zissimos P. Mourelatos and Jun Zhou. *13: Efficient stochastic methods in RBDO Alaa Chateauneuf. *14: Reliability analysis and reliability based design optimization using the moment method Byung Man Kwak, Sang Hoon Lee and Jae Sung Huh. *15: Analytical target cascading in optimal design of decomposed systems under uncertainty M. Kokkolaras and P.Y. Papalambros. *16: Reliability based topology optimization using the hybrid cellular automaton method Neal M. Patel, John E. Renaud, Harish Agarwal and Andres Tovar. *17: Sample average approximations in Reliability-based structural optimization: Theory and applications J.O. Royset, E. Polak. B3. Application-driven chapters on RBDO *18: Design optimization of stochastic dynamic systems by algebraic reduced order models G. Weickum, M. Allen, K. Maute and D. Frangopol. *19: Reliability-based damage tolerance methodology Y-T. Wu. 20: Overview of reliability analysis and design capabilities in DAKOTA with Application to Shape Optimization of MEMS *M.S. Eldred, S.A. Mitchell, B. J. Bichon and B. M. Adams.
