Handbook of Seismic Risk Analysis and Management of Civil Infrastructure Systems

Earthquakes represent a major risk to buildings, bridges and other civil infrastructure systems, causing catastrophic loss to modern society. Handbook of seismic risk analysis and management of civil infrastructure systems reviews the state of the art in the seismic risk analysis and management of civil infrastructure systems.Part one reviews research in the quantification of uncertainties in ground motion and seismic hazard assessment. Part twi discusses methodologies in seismic risk analysis and management, whilst parts three and four cover the application of seismic risk assessment to buildings, bridges, pipelines and other civil infrastructure systems. Part five also discusses methods for quantifying dependency between different infrastructure systems. The final part of the book considers ways of assessing financial and other losses from earthquake damage as well as setting insurance rates.Handbook of seismic risk analysis and management of civil infrastructure systems is an invaluable guide for professionals requiring understanding of the impact of earthquakes on buildings and lifelines, and the seismic risk assessment and management of buildings, bridges and transportation. It also provides a comprehensive overview of seismic risk analysis for researchers and engineers within these fields. This important handbook reviews the wealth of recent research in the area of seismic hazard analysis in modern earthquake design code provisions and practicesExamines research into the analysis of ground motion and seismic hazard assessment, seismic risk hazard methodologiesAddresses the assessment of seismic risks to buildings, bridges, water supply systems and other aspects of civil infrastructure INDICE: 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 11.6 Future trends 11.7 Acknowledgements Part III: Assessing seismic risks to buildings Chapter 12: Assessing seismic risks for new and existing buildings using performance-based earthquake engineering (PBEE) methodology Abstract: 12.1 Introduction 12.2 Performance-based earthquake engineering (PBEE) framework 12.3 Application: seismic performance assessment of high-rise buildings 12.4 Conclusions 12.5 Acknowledgments Chapter 13: Assessing the seismic vulnerability of masonry buildings Abstract: 13.1 Introduction 13.2 Vulnerability approaches: empirical and analytical 13.3 Collapse-mechanism approach to seismic vulnerability of masonry buildings 13.4 Stochastic and epistemic uncertainty quantification 13.5 Conclusions Chapter 14: Vulnerability assessment of reinforced concrete structures for fire and earthquake risk Abstract: 14.1 Introduction 14.2 Structural response to fire 14.3 Seismic response of structures 14.4 Fire performance of a reinforced concrete building following an earthquake 14.5 Residual seismic resistance of fire-damaged building columns 14.6 Lateral load resistance of a fire-damaged column using a hybrid method 14.7 Conclusions and future trends Chapter 15: Seismic risk models for aging and deteriorating buildings and civil infrastructure Abstract: 15.1 Introduction 15.2 Structural degradation 15.3 Shock-based damage accumulation models 15.4 Approximation to graceful deterioration 15.5 Combined progressive and shock-based deterioration 15.6 Conclusions Chapter 16: Stochastic modeling of deterioration in buildings and civil infrastructure Abstract: 16.1 Introduction 16.2 A general deterioration process 16.3 Modeling of a general deterioration process using the stochastic semi-analytical approach (SSA) 16.4 Stochastic modeling of deterioration in reinforced concrete (RC) bridges 16.5 Conclusions Part IV: Assessing seismic risks to bridges and other components of civil infrastructure networks Chapter 17: Risk assessment and management of civil infrastructure networks: a systems approach Abstract: 17.1 Introduction 17.2 Systems and networks 17.3 Hierarchical representation of networks 17.4 Risk assessment of infrastructure networks 17.5 Optimal resource allocation in infrastructure networks 17.6 Conclusions Chapter 18: Seismic vulnerability analysis of a complex interconnected civil infrastructure Abstract: 18.1 Introduction and definitions 18.2 Time, space and stakeholder dimensions of the problem 18.3 Model, analysis type and interactions 18.4 Object-oriented model (OOM) of the infrastructure and hazards 18.5 Description of the main classes 18.6 Performance metrics 18.7 Probabilistic assessment of the model 18.8 Example of an application of seismic vulnerability analysis 18.9 Future trends 18.10 Acknowledgements Chapter 19: Seismic reliability of deteriorating reinforced concrete (RC) bridges Abstract: 19.1 Introduction 19.2 Mechanisms of deterioration 19.3 Effects of deterioration on the reliability of bridges 19.4 Conclusions Chapter 20: Using a performance-based earthquake engineering (PBEE) approach to estimate structural performance targets for bridges Abstract: 20.1 Introduction 20.2 Performance-based seismic evaluation framework (PEER approach) 20.3 Probabilistic seismic demand analysis (PSDA) 20.4 Vector-valued probabilistic seismic hazard assessment (VPSHA) 20.5 Performance-based seismic evaluation of ordinary highway bridges 20.6 Future trends 20.7 Acknowledgments Chapter 21: Incremental dynamic analysis (IDA) applied to seismic risk assessment of bridges Abstract: 21.1 Introduction 21.2 Incremental dynamic analysis (IDA) 21.3 Structural modelling for incremental dynamic analysis (IDA) 21.4 Sources of uncertainty 21.5 Record selection for incremental dynamic analysis (IDA) 21.6 Development of fragility curves using incremental dynamic analysis (IDA) results 21.7 Case study for a continuous 4-span bridge 21.8 Conclusions and future trends Chapter 22: Effect of soilâ?structure interaction and spatial variability of ground motion on seismic risk assessment of bridges Abstract: 22.1 Introduction 22.2 Soil-foundation-pier-superstructure interaction 22.3 Embankment-backfill-abutment-superstructure interaction 22.4 Realistic earthquake excitation scenarios for interactive soil-bridge systems 22.5 Conclusions Chapter 23: Seismic risk management for water pipeline networks Abstract: 23.1 Introduction 23.2 Seismic failure of a lifeline system 23.3 Seismic risk assessment 23.4 Seismic risk mitigation 23.5 Future trends Chapter 24: Seismic risk assessment of water supply systems Abstract: 24.1 Introduction 24.2 General framework for evaluating seismic risk 24.3 System characteristics 24.4 Seismic hazards 24.5 Component responses 24.6 System responses 24.7 Economic and social consequences 24.8 Future trends 24.9 Sources of further information and advice 24.10 Acknowledgments Chapter 25: Seismic risk assessment for oil and gas pipelines Abstract: 25.1 Introduction 25.2 Purpose of performing a risk assessment 25.3 Key steps in performing risk assessments for oil and gas pipelines 25.4 Types of seismic hazard 25.2 Determining hazard likelihood 25.6 Determining severity of hazard 25.7 Pipeline response to earthquake hazards 25.8 Consequences of pipeline damage 25.9 Mitigation approaches to reduce risk to pipelines 25.10 Challenges and issues 25.11 Future trends 25.12 Conclusions Chapter 26: Seismic risk analysis of wind turbine support structures Abstract: 26.1 Introduction 26.2 Probabilistic demand models 26.3 Demand models for the support structure of offshore wind turbines 26.4 Example of fragility estimates for an offshore wind turbine support structure 26.5 Conclusions 26.6 Future trends 26.7 Acknowledgments Part V: Assessing financial and other losses from earthquake damage Chapter 27: Seismic risk and possible maximum loss (PML) analysis of reinforced concrete structures Abstract: 27.1 Introduction 27.2 Analytical procedure for assessing seismic risk 27.3 Case studies of seismic risk analysis for reinforced concrete structures 27.4 Conclusions and future trends Chapter 28: Seismic risk management of insurance losses using extreme value theory and copula Abstract: 28.1 Introduction 28.2 Statistical modelling of extreme data 28.3 Insurer's earthquake risk exposure modelling 28.4 Earthquake insurance portfolio analysis 28.5 Conclusions and future trends Chapter 29: Probabilistic assessment of earthquake insurance rates for buildings Abstract: 29.1 Introduction 29.2 Probabilistic model for the assessment of earthquake insurance rates 29.3 Application: assessment of earthquake insurance rates for different seismic zones in Turkey 29.4 Implementation of earthquake insurance: Turkish Catastrophe Insurance Pool (TCIP) 29.5 Conclusions and future trends 29.6 Acknowledgments Chapter 30: Assessing global earthquake risks: the Global Earthquake Model (GEM) initiative Abstract: 30.1 Introduction 30.2 Current status of Global Earthquake Model (GEM)1 30.3 OpenQuake 30.4 Outlook for Global Earthquake Model (GEM) Chapter 31: Strategies for rapid global earthquake impact estimation: the Prompt Assessment of Global Earthquakes for Response (PAGER) system Abstract: 31.1 Introduction 31.2 State-of-the-art of rapid earthquake loss estimation systems 31.3 Prompt Assessment of Global Earthquakes for Response (PAGER) system development 31.4 Earthquake loss models within the Prompt Assessment of Global Earthquakes for Response (PAGER) system 31.5 Earthquake impact scale 31.6 Loss estimation for recent earthquakes 31.7 Prompt Assessment of Global Earthquakes for Response (PAGER) products and ongoing developments 31.8 Conclusions 31.9 Acknowledgments Index

• ISBN: 978-0-08-101566-7
• Editorial: Woodhead Publishing
• Encuadernacion: Rústica
• Páginas: 920
• Fecha Publicación: 30/06/2016
• Nº Volúmenes: 1
• Idioma: Inglés