Handbook of Seismic Risk Analysis and Management of Civil Infrastructure Systems

Contributor contact details Preface Part I: Ground motions and seismic hazard assessment Chapter 1: Probabilistic seismic hazard analysis of civil infrastructure Abstract: 1.1 Introduction: past developments and current trends in assessing seismic risks 1.2 Simulation-based probabilistic seismic hazard analysis (PSHA) 1.3 Extension of probabilistic seismic hazard analysis (PSHA) to advanced earthquake engineering analyses 1.4 Conclusions and future trends Chapter 2: Uncertainties in ground motion prediction in probabilistic seismic hazard analysis (PSHA) of civil infrastructure Abstract: 2.1 Introduction 2.2 Explanation of ground-motion prediction equations (GMPEs) 2.3 Development of ground-motion prediction equations (GMPEs) 2.4 Sensitivity of model components 2.5 Future trends 2.6 Conclusions Chapter 3: Spatial correlation of ground motions in estimating seismic hazards to civil infrastructure Abstract: 3.1 Introduction 3.2 Spatial correlation of ground motions: evaluation and analysis 3.3 Ground-motion correlation and seismic loss assessment 3.4 Future trends Chapter 4: Ground motion selection for seismic risk analysis of civil infrastructure Abstract: 4.1 Introduction 4.2 Ground motion selection in seismic performance assessment 4.3 Case study: bridge foundation soil system 4.4 The generalized conditional intensity measure (GCIM) approach 4.5 Ground motion selection using generalized conditional intensity measure (GCIM) 4.6 Application of the ground motion selection methodology 4.7 Checking for bias in seismic response analysis due to ground motion selection 4.8 Seismic demand curve computation 4.9 Software implementations 4.10 Conclusions and future trends Chapter 5: Assessing and managing the risk of earthquake-induced liquefaction to civil infrastructure Abstract: 5.1 Introduction 5.2 Hazard identification 5.3 Hazard quantification 5.4 Response of infrastructure to liquefaction hazards 5.5 Tolerable risks and performance levels 5.6 Conclusions Part II: Seismic risk analysis methodologies Chapter 6: Seismic risk analysis and management of civil infrastructure systems: an overview Abstract: 6.1 Introduction 6.2 Uncertainty in risk analysis 6.3 Risk analysis 6.4 Risk management 6.5 Conclusions Chapter 7: Seismic risk analysis using Bayesian belief networks Abstract: 7.1 Introduction 7.2 Bayesian belief networks (BBN) 7.3 Application of Bayesian belief networks (BBN) to seismic risk assessment: site-specific hazard assessment 7.4 Regional damage estimation 7.5 Vulnerability and damage assessment of individual buildings 7.6 Conclusions and future trends Chapter 8: Structural vulnerability analysis of civil infrastructure facing seismic hazards Abstract: 8.1 Introduction 8.2 Vulnerability, hazard and risk 8.3 Identification of vulnerability 8.4 Analysis of risk 8.5 Vulnerability of infrastructure networks 8.6 Advantages of vulnerability analysis 8.7 Conclusions Chapter 9: Earthquake risk management of civil infrastructure: integrating soft and hard risks Abstract: 9.1 Introduction: the inevitability of risk 9.2 Managing technical risks to structures 9.3 Reliability theory for the analysis of uncertainty and risk 9.4 Seismic vulnerability 9.5 Uncertainty: fuzziness, incompleteness and randomness (FIR) 9.6 Systems thinking 9.7 Process models and project progress maps (PPM) 9.8 Measuring evidence of performance 9.9 A structural example: procuring a new building 9.10 Conclusions Chapter 10: A capability approach for seismic risk analysis and management Abstract: 10.1 Introduction 10.2 Desiderata for a framework for seismic risk analysis and management 10.3 A capability approach for seismic risk analysis and management 10.5 Conclusions 10.6 Acknowledgments Chapter 11: Resilience-based design (RBD) modelling of civil infrastructure to assess seismic hazards Abstract: 11.1 Introduction 11.2 Development of performance-based design (PBD) 11.3 Towards resilience-based design (RBD) 11.4 Case studies 11.5 Conclusions 11.