Handbook of Seismic Risk Analysis and Management of Civil Infrastructure Systems

<p>Contributor contact details</p> <p>Preface</p> <p>Part I: Ground motions and seismic hazard assessment</p> <p>Chapter 1: Probabilistic seismic hazard analysis of civil infrastructure</p> <p>Abstract:</p> <p>1.1 Introduction: past developments and current trends in assessing seismic risks</p> <p>1.2 Simulation-based probabilistic seismic hazard analysis (PSHA)</p> <p>1.3 Extension of probabilistic seismic hazard analysis (PSHA) to advanced earthquake engineering analyses</p> <p>1.4 Conclusions and future trends</p> <p>Chapter 2: Uncertainties in ground motion prediction in probabilistic seismic hazard analysis (PSHA) of civil infrastructure</p> <p>Abstract:</p> <p>2.1 Introduction</p> <p>2.2 Explanation of ground-motion prediction equations (GMPEs)</p> <p>2.3 Development of ground-motion prediction equations (GMPEs)</p> <p>2.4 Sensitivity of model components</p> <p>2.5 Future trends</p> <p>2.6 Conclusions</p> <p>Chapter 3: Spatial correlation of ground motions in estimating seismic hazards to civil infrastructure</p> <p>Abstract:</p> <p>3.1 Introduction</p> <p>3.2 Spatial correlation of ground motions: evaluation and analysis</p> <p>3.3 Ground-motion correlation and seismic loss assessment</p> <p>3.4 Future trends</p> <p>Chapter 4: Ground motion selection for seismic risk analysis of civil infrastructure</p> <p>Abstract:</p> <p>4.1 Introduction</p> <p>4.2 Ground motion selection in seismic performance assessment</p> <p>4.3 Case study: bridge foundation soil system</p> <p>4.4 The generalized conditional intensity measure (GCIM) approach</p> <p>4.5 Ground motion selection using generalized conditional intensity measure (GCIM)</p> <p>4.6 Application of the ground motion selection methodology</p> <p>4.7 Checking for bias in seismic response analysis due to ground motion selection</p> <p>4.8 Seismic demand curve computation</p> <p>4.9 Software implementations</p> <p>4.10 Conclusions and future trends</p> <p>Chapter 5: Assessing and managing the risk of earthquake-induced liquefaction to civil infrastructure</p> <p>Abstract:</p> <p>5.1 Introduction</p> <p>5.2 Hazard identification</p> <p>5.3 Hazard quantification</p> <p>5.4 Response of infrastructure to liquefaction hazards</p> <p>5.5 Tolerable risks and performance levels</p> <p>5.6 Conclusions</p> <p>Part II: Seismic risk analysis methodologies</p> <p>Chapter 6: Seismic risk analysis and management of civil infrastructure systems: an overview</p> <p>Abstract:</p> <p>6.1 Introduction</p> <p>6.2 Uncertainty in risk analysis</p> <p>6.3 Risk analysis</p> <p>6.4 Risk management</p> <p>6.5 Conclusions</p> <p>Chapter 7: Seismic risk analysis using Bayesian belief networks</p> <p>Abstract:</p> <p>7.1 Introduction</p> <p>7.2 Bayesian belief networks (BBN)</p> <p>7.3 Application of Bayesian belief networks (BBN) to seismic risk assessment: site-specific hazard assessment</p> <p>7.4 Regional damage estimation</p> <p>7.5 Vulnerability and damage assessment of individual buildings</p> <p>7.6 Conclusions and future trends</p> <p>Chapter 8: Structural vulnerability analysis of civil infrastructure facing seismic hazards</p> <p>Abstract:</p> <p>8.1 Introduction</p> <p>8.2 Vulnerability, hazard and risk</p> <p>8.3 Identification of vulnerability</p> <p>8.4 Analysis of risk</p> <p>8.5 Vulnerability of infrastructure networks</p> <p>8.6 Advantages of vulnerability analysis</p> <p>8.7 Conclusions</p> <p>Chapter 9: Earthquake risk management of civil infrastructure: integrating soft and hard risks</p> <p>Abstract:</p> <p>9.1 Introduction: the inevitability of risk</p> <p>9.2 Managing technical risks to structures</p> <p>9.3 Reliability theory for the analysis of uncertainty and risk</p> <p>9.4 Seismic vulnerability</p> <p>9.5 Uncertainty: fuzziness, incompleteness and randomness (FIR)</p> <p>9.6 Systems thinking</p> <p>9.7 Process models and project progress maps (PPM)</p> <p>9.8 Measuring evidence of performance</p> <p>9.9 A structural example: procuring a new building</p> <p>9.10 Conclusions</p> <p>Chapter 10: A capability approach for seismic risk analysis and management</p> <p>Abstract:</p> <p>10.1 Introduction</p> <p>10.2 Desiderata for a framework for seismic risk analysis and management</p> <p>10.3 A capability approach for seismic risk analysis and management</p> <p>10.5 Conclusions</p> <p>10.6 Acknowledgments</p> <p>Chapter 11: Resilience-based design (RBD) modelling of civil infrastructure to assess seismic hazards</p> <p>Abstract:</p> <p>11.1 Introduction</p> <p>11.2 Development of performance-based design (PBD)</p> <p>11.3 Towards resilience-based design (RBD)</p> <p>11.4 Case studies</p> <p>11.5 Conclusions</p> <p>11.6 Future trends</p> <p>11.7 Acknowledgements</p> <p>Part III: Assessing seismic risks to buildings</p> <p>Chapter 12: Assessing seismic risks for new and existing buildings using performance-based earthquake engineering (PBEE) methodology</p> <p>Abstract:</p> <p>12.1 Introduction</p> <p>12.2 Performance-based earthquake engineering (PBEE) framework</p> <p>12.3 Application: seismic performance assessment of high-rise buildings</p> <p>12.4 Conclusions</p> <p>12.5 Acknowledgments</p> <p>Chapter 13: Assessing the seismic vulnerability of masonry buildings</p> <p>Abstract:</p> <p>13.1 Introduction</p> <p>13.2 Vulnerability approaches: empirical and analytical</p> <p>13.3 Collapse-mechanism approach to seismic vulnerability of masonry buildings</p> <p>13.4 Stochastic and epistemic uncertainty quantification</p> <p>13.5 Conclusions</p> <p>Chapter 14: Vulnerability assessment of reinforced concrete structures for fire and earthquake risk</p> <p>Abstract:</p> <p>14.1 Introduction</p> <p>14.2 Structural response to fire</p> <p>14.3 Seismic response of structures</p> <p>14.4 Fire performance of a reinforced concrete building following an earthquake</p> <p>14.5 Residual seismic resistance of fire-damaged building columns</p> <p>14.6 Lateral load resistance of a fire-damaged column using a hybrid method</p> <p>14.7 Conclusions and future trends</p> <p>Chapter 15: Seismic risk models for aging and deteriorating buildings and civil infrastructure</p> <p>Abstract:</p> <p>15.1 Introduction</p> <p>15.2 Structural degradation</p> <p>15.3 Shock-based damage accumulation models</p> <p>15.4 Approximation to graceful deterioration</p> <p>15.5 Combined progressive and shock-based deterioration</p> <p>15.6 Conclusions</p> <p>Chapter 16: Stochastic modeling of deterioration in buildings and civil infrastructure</p> <p>Abstract:</p> <p>16.1 Introduction</p> <p>16.2 A general deterioration process</p> <p>16.3 Modeling of a general deterioration process using the stochastic semi-analytical approach (SSA)</p> <p>16.4 Stochastic modeling of deterioration in reinforced concrete (RC) bridges</p> <p>16.5 Conclusions</p> <p>Part IV: Assessing seismic risks to bridges and other components of civil infrastructure networks</p> <p>Chapter 17: Risk assessment and management of civil infrastructure networks: a systems approach</p> <p>Abstract:</p> <p>17.1 Introduction</p> <p>17.2 Systems and networks</p> <p>17.3 Hierarchical representation of networks</p> <p>17.4 Risk assessment of infrastructure networks</p> <p>17.5 Optimal resource allocation in infrastructure networks</p> <p>17.6 Conclusions</p> <p>Chapter 18: Seismic vulnerability analysis of a complex interconnected civil infrastructure</p> <p>Abstract:</p> <p>18.1 Introduction and definitions</p> <p>18.2 Time, space and stakeholder dimensions of the problem</p> <p>18.3 Model, analysis type and interactions</p> <p>18.4 Object-oriented model (OOM) of the infrastructure and hazards</p> <p>18.5 Description of the main classes</p> <p>18.6 Performance metrics</p> <p>18.7 Probabilistic assessment of the model</p> <p>18.8 Example of an application of seismic vulnerability analysis</p> <p>18.9 Future trends</p> <p>18.10 Acknowledgements</p> <p>Chapter 19: Seismic reliability of deteriorating reinforced concrete (RC) bridges</p> <p>Abstract:</p> <p>19.1 Introduction</p> <p>19.2 Mechanisms of deterioration</p> <p>19.3 Effects of deterioration on the reliability of bridges</p> <p>19.4 Conclusions</p> <p>Chapter 20: Using a performance-based earthquake engineering (PBEE) approach to estimate structural performance targets for bridges</p> <p>Abstract:</p> <p>20.1 Introduction</p> <p>20.2 Performance-based seismic evaluation framework (PEER approach)</p> <p>20.3 Probabilistic seismic demand analysis (PSDA)</p> <p>20.4 Vector-valued probabilistic seismic hazard assessment (VPSHA)</p> <p>20.5 Performance-based seismic evaluation of ordinary highway bridges</p> <p>20.6 Future trends</p> <p>20.7 Acknowledgments</p> <p>Chapter 21: Incremental dynamic analysis (IDA) applied to seismic risk assessment of bridges</p> <p>Abstract:</p> <p>21.1 Introduction</p> <p>21.2 Incremental dynamic analysis (IDA)</p> <p>21.3 Structural modelling for incremental dynamic analysis (IDA)</p> <p>21.4 Sources of uncertainty</p> <p>21.5 Record selection for incremental dynamic analysis (IDA)</p> <p>21.6 Development of fragility curves using incremental dynamic analysis (IDA) results</p> <p>21.7 Case study for a continuous 4-span bridge</p> <p>21.8 Conclusions and future trends</p> <p>Chapter 22: Effect of soil–structure interaction and spatial variability of ground motion on seismic risk assessment of bridges</p> <p>Abstract:</p> <p>22.1 Introduction</p> <p>22.2 Soil–foundation–pier–superstructure interaction</p> <p>22.3 Embankment–backfill–abutment–superstructure interaction</p> <p>22.4 Realistic earthquake excitation scenarios for interactive soil–bridge systems</p> <p>22.5 Conclusions</p> <p>Chapter 23: Seismic risk management for water pipeline networks</p> <p>Abstract:</p> <p>23.1 Introduction</p> <p>23.2 Seismic failure of a lifeline system</p> <p>23.3 Seismic risk assessment</p> <p>23.4 Seismic risk mitigation</p> <p>23.5 Future trends</p> <p>Chapter 24: Seismic risk assessment of water supply systems</p> <p>Abstract:</p> <p>24.1 Introduction</p> <p>24.2 General framework for evaluating seismic risk</p> <p>24.3 System characteristics</p> <p>24.4 Seismic hazards</p> <p>24.5 Component responses</p> <p>24.6 System responses</p> <p>24.7 Economic and social consequences</p> <p>24.8 Future trends</p> <p>24.9 Sources of further information and advice</p> <p>24.10 Acknowledgments</p> <p>Chapter 25: Seismic risk assessment for oil and gas pipelines</p> <p>Abstract:</p> <p>25.1 Introduction</p> <p>25.2 Purpose of performing a risk assessment</p> <p>25.3 Key steps in performing risk assessments for oil and gas pipelines</p> <p>25.4 Types of seismic hazard</p> <p>25.2 Determining hazard likelihood</p> <p>25.6 Determining severity of hazard</p> <p>25.7 Pipeline response to earthquake hazards</p> <p>25.8 Consequences of pipeline damage</p> <p>25.9 Mitigation approaches to reduce risk to pipelines</p> <p>25.10 Challenges and issues</p> <p>25.11 Future trends</p> <p>25.12 Conclusions</p> <p>Chapter 26: Seismic risk analysis of wind turbine support structures</p> <p>Abstract:</p> <p>26.1 Introduction</p> <p>26.2 Probabilistic demand models</p> <p>26.3 Demand models for the support structure of offshore wind turbines</p> <p>26.4 Example of fragility estimates for an offshore wind turbine support structure</p> <p>26.5 Conclusions</p> <p>26.6 Future trends</p> <p>26.7 Acknowledgments</p> <p>Part V: Assessing financial and other losses from earthquake damage</p> <p>Chapter 27: Seismic risk and possible maximum loss (PML) analysis of reinforced concrete structures</p> <p>Abstract:</p> <p>27.1 Introduction</p> <p>27.2 Analytical procedure for assessing seismic risk</p> <p>27.3 Case studies of seismic risk analysis for reinforced concrete structures</p> <p>27.4 Conclusions and future trends</p> <p>Chapter 28: Seismic risk management of insurance losses using extreme value theory and copula</p> <p>Abstract:</p> <p>28.1 Introduction</p> <p>28.2 Statistical modelling of extreme data</p> <p>28.3 Insurer’s earthquake risk exposure modelling</p> <p>28.4 Earthquake insurance portfolio analysis</p> <p>28.5 Conclusions and future trends</p> <p>Chapter 29: Probabilistic assessment of earthquake insurance rates for buildings</p> <p>Abstract:</p> <p>29.1 Introduction</p> <p>29.2 Probabilistic model for the assessment of earthquake insurance rates</p> <p>29.3 Application: assessment of earthquake insurance rates for different seismic zones in Turkey</p> <p>29.4 Implementation of earthquake insurance: Turkish Catastrophe Insurance Pool (TCIP)</p> <p>29.5 Conclusions and future trends</p> <p>29.6 Acknowledgments</p> <p>Chapter 30: Assessing global earthquake risks: the Global Earthquake Model (GEM) initiative</p> <p>Abstract:</p> <p>30.1 Introduction</p> <p>30.2 Current status of Global Earthquake Model (GEM)1</p> <p>30.3 OpenQuake</p> <p>30.4 Outlook for Global Earthquake Model (GEM)</p> <p>Chapter 31: Strategies for rapid global earthquake impact estimation: the Prompt Assessment of Global Earthquakes for Response (PAGER) system</p> <p>Abstract:</p> <p>31.1 Introduction</p> <p>31.2 State-of-the-art of rapid earthquake loss estimation systems</p> <p>31.3 Prompt Assessment of Global Earthquakes for Response (PAGER) system development</p> <p>31.4 Earthquake loss models within the Prompt Assessment of Global Earthquakes for Response (PAGER) system</p> <p>31.5 Earthquake impact scale</p> <p>31.6 Loss estimation for recent earthquakes</p> <p>31.7 Prompt Assessment of Global Earthquakes for Response (PAGER) products and ongoing developments</p> <p>31.8 Conclusions</p> <p>31.9 Acknowledgments</p> <p>Index</p>