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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.
Contents
Contributor contact detailsPrefacePart I: Ground motions and seismic hazard assessmentChapter 1: Probabilistic seismic hazard analysis of civil infrastructureAbstract:1.1 Introduction: past developments and current trends in assessing seismic risks1.2 Simulation-based probabilistic seismic hazard analysis (PSHA)1.3 Extension of probabilistic seismic hazard analysis (PSHA) to advanced earthquake engineering analyses1.4 Conclusions and future trendsChapter 2: Uncertainties in ground motion prediction in probabilistic seismic hazard analysis (PSHA) of civil infrastructureAbstract:2.1 Introduction2.2 Explanation of ground-motion prediction equations (GMPEs)2.3 Development of ground-motion prediction equations (GMPEs)2.4 Sensitivity of model components2.5 Future trends2.6 ConclusionsChapter 3: Spatial correlation of ground motions in estimating seismic hazards to civil infrastructureAbstract:3.1 Introduction3.2 Spatial correlation of ground motions: evaluation and analysis3.3 Ground-motion correlation and seismic loss assessment3.4 Future trendsChapter 4: Ground motion selection for seismic risk analysis of civil infrastructureAbstract:4.1 Introduction4.2 Ground motion selection in seismic performance assessment4.3 Case study: bridge foundation soil system4.4 The generalized conditional intensity measure (GCIM) approach4.5 Ground motion selection using generalized conditional intensity measure (GCIM)4.6 Application of the ground motion selection methodology4.7 Checking for bias in seismic response analysis due to ground motion selection4.8 Seismic demand curve computation4.9 Software implementations4.10 Conclusions and future trendsChapter 5: Assessing and managing the risk of earthquake-induced liquefaction to civil infrastructureAbstract:5.1 Introduction5.2 Hazard identification5.3 Hazard quantification5.4 Response of infrastructure to liquefaction hazards5.5 Tolerable risks and performance levels5.6 ConclusionsPart II: Seismic risk analysis methodologiesChapter 6: Seismic risk analysis and management of civil infrastructure systems: an overviewAbstract:6.1 Introduction6.2 Uncertainty in risk analysis6.3 Risk analysis6.4 Risk management6.5 ConclusionsChapter 7: Seismic risk analysis using Bayesian belief networksAbstract:7.1 Introduction7.2 Bayesian belief networks (BBN)7.3 Application of Bayesian belief networks (BBN) to seismic risk assessment: site-specific hazard assessment7.4 Regional damage estimation7.5 Vulnerability and damage assessment of individual buildings7.6 Conclusions and future trendsChapter 8: Structural vulnerability analysis of civil infrastructure facing seismic hazardsAbstract:8.1 Introduction8.2 Vulnerability, hazard and risk8.3 Identification of vulnerability8.4 Analysis of risk8.5 Vulnerability of infrastructure networks8.6 Advantages of vulnerability analysis8.7 ConclusionsChapter 9: Earthquake risk management of civil infrastructure: integrating soft and hard risksAbstract:9.1 Introduction: the inevitability of risk9.2 Managing technical risks to structures9.3 Reliability theory for the analysis of uncertainty and risk9.4 Seismic vulnerability9.5 Uncertainty: fuzziness, incompleteness and randomness (FIR)9.6 Systems thinking9.7 Process models and project progress maps (PPM)9.8 Measuring evidence of performance9.9 A structural example: procuring a new building9.10 ConclusionsChapter 10: A capability approach for seismic risk analysis and managementAbstract:10.1 Introduction10.2 Desiderata for a framework for seismic risk analysis and management10.3 A capability approach for seismic risk analysis and management10.5 Conclusions10.6 AcknowledgmentsChapter 11: Resilience-based design (RBD) modelling of civil infrastructure to assess seismic hazardsAbstract:11.1 Introduction11.2 Development of performance-based design (PBD)11.3 Towards resilience-based design (RBD)11.4 Case studies11.5 Conclusions11.6 Future trends11.7 AcknowledgementsPart III: Assessing seismic risks to buildingsChapter 12: Assessing seismic risks for new and existing buildings using performance-based earthquake engineering (PBEE) methodologyAbstract:12.1 Introduction12.2 Performance-based earthquake engineering (PBEE) framework12.3 Application: seismic performance assessment of high-rise buildings12.4 Conclusions12.5 AcknowledgmentsChapter 13: Assessing the seismic vulnerability of masonry buildingsAbstract:13.1 Introduction13.2 Vulnerability approaches: empirical and analytical13.3 Collapse-mechanism approach to seismic vulnerability of masonry buildings13.4 Stochastic and epistemic uncertainty quantification13.5 ConclusionsChapter 14: Vulnerability assessment of reinforced concrete structures for fire and earthquake riskAbstract:14.1 Introduction14.2 Structural response to fire14.3 Seismic response of structures14.4 Fire performance of a reinforced concrete building following an earthquake14.5 Residual seismic resistance of fire-damaged building columns14.6 Lateral load resistance of a fire-damaged column using a hybrid method14.7 Conclusions and future trendsChapter 15: Seismic risk models for aging and deteriorating buildings and civil infrastructureAbstract:15.1 Introduction15.2 Structural degradation15.3 Shock-based damage accumulation models15.4 Approximation to graceful deterioration15.5 Combined progressive and shock-based deterioration15.6 ConclusionsChapter 16: Stochastic modeling of deterioration in buildings and civil infrastructureAbstract:16.1 Introduction16.2 A general deterioration process16.3 Modeling of a general deterioration process using the stochastic semi-analytical approach (SSA)16.4 Stochastic modeling of deterioration in reinforced concrete (RC) bridges16.5 ConclusionsPart IV: Assessing seismic risks to bridges and other components of civil infrastructure networksChapter 17: Risk assessment and management of civil infrastructure networks: a systems approachAbstract:17.1 Introduction17.2 Systems and networks17.3 Hierarchical representation of networks17.4 Risk assessment of infrastructure networks17.5 Optimal resource allocation in infrastructure networks17.6 ConclusionsChapter 18: Seismic vulnerability analysis of a complex interconnected civil infrastructureAbstract:18.1 Introduction and definitions18.2 Time, space and stakeholder dimensions of the problem18.3 Model, analysis type and interactions18.4 Object-oriented model (OOM) of the infrastructure and hazards18.5 Description of the main classes18.6 Performance metrics18.7 Probabilistic assessment of the model18.8 Example of an application of seismic vulnerability analysis18.9 Future trends18.10 AcknowledgementsChapter 19: Seismic reliability of deteriorating reinforced concrete (RC) bridgesAbstract:19.1 Introduction19.2 Mechanisms of deterioration19.3 Effects of deterioration on the reliability of bridges19.4 ConclusionsChapter 20: Using a performance-based earthquake engineering (PBEE) approach to estimate structural performance targets for bridgesAbstract:20.1 Introduction20.2 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 bridges20.6 Future trends20.7 AcknowledgmentsChapter 21: Incremental dynamic analysis (IDA) applied to seismic risk assessment of bridgesAbstract:21.1 Introduction21.2 Incremental dynamic analysis (IDA)21.3 Structural modelling for incremental dynamic analysis (IDA)21.4 Sources of uncertainty21.5 Record selection for incremental dynamic analysis (IDA)21.6 Development of fragility curves using incremental dynamic analysis (IDA) results21.7 Case study for a continuous 4-span bridge21.8 Conclusions and future trendsChapter 22: Effect of soilaEURO"structure interaction and spatial variability of ground motion on seismic risk assessment of bridgesAbstract:22.1 Introduction22.2 Soil-foundation-pier-superstructure interaction22.3 Embankment-backfill-abutment-superstructure interaction22.4 Realistic earthquake excitation scenarios for interactive soil-bridge systems22.5 ConclusionsChapter 23: Seismic risk management for water pipeline networksAbstract:23.1 Introduction23.2 Seismic failure of a lifeline system23.3 Seismic risk assessment23.4 Seismic risk mitigation23.5 Future trendsChapter 24: Seismic risk assessment of water supply systemsAbstract:24.1 Introduction24.2 General framework for evaluating seismic risk24.3 System characteristics24.4 Seismic hazards24.5 Component responses24.6 System responses24.7 Economic and social consequences24.8 Future trends24.9 Sources of further information and advice24.10 AcknowledgmentsChapter 25: Seismic risk assessment for oil and gas pipelinesAbstract:25.1 Introduction25.2 Purpose of performing a risk assessment25.3 Key steps in performing risk assessments for oil and gas pipelines25.4 Types of seismic hazard25.2 Determining hazard likelihood25.6 Determining severity of hazard25.7 Pipeline response to earthquake hazards25.8 Consequences of pipeline damage25.9 Mitigation approaches to reduce risk to pipelines25.10 Challenges and issues25.11 Future trends25.12 ConclusionsChapter 26: Seismic risk analysis of wind turbine support structuresAbstract:26.1 Introduction26.2 Probabilistic demand models26.3 Demand models for the support structure of offshore wind turbines26.4 Example of fragility estimates for an offshore wind turbine support structure26.5 Conclusions26.6 Future trends26.7 AcknowledgmentsPart V: Assessing financial and other losses from earthquake damageChapter 27: Seismic risk and possible maximum loss (PML) analysis of reinforced concrete structuresAbstract:27.1 Introduction27.2 Analytical procedure for assessing seismic risk27.3 Case studies of seismic risk analysis for reinforced concrete structures27.4 Conclusions and future trendsChapter 28: Seismic risk management of insurance losses using extreme value theory and copulaAbstract:28.1 Introduction28.2 Statistical modelling of extreme data28.3 Insurer's earthquake risk exposure modelling28.4 Earthquake insurance portfolio analysis28.5 Conclusions and future trendsChapter 29: Probabilistic assessment of earthquake insurance rates for buildingsAbstract:29.1 Introduction29.2 Probabilistic model for the assessment of earthquake insurance rates29.3 Application: assessment of earthquake insurance rates for different seismic zones in Turkey29.4 Implementation of earthquake insurance: Turkish Catastrophe Insurance Pool (TCIP)29.5 Conclusions and future trends29.6 AcknowledgmentsChapter 30: Assessing global earthquake risks: the Global Earthquake Model (GEM) initiativeAbstract:30.1 Introduction30.2 Current status of Global Earthquake Model (GEM)130.3 OpenQuake30.4 Outlook for Global Earthquake Model (GEM)Chapter 31: Strategies for rapid global earthquake impact estimation: the Prompt Assessment of Global Earthquakes for Response (PAGER) systemAbstract:31.1 Introduction31.2 State-of-the-art of rapid earthquake loss estimation systems31.3 Prompt Assessment of Global Earthquakes for Response (PAGER) system development31.4 Earthquake loss models within the Prompt Assessment of Global Earthquakes for Response (PAGER) system31.5 Earthquake impact scale31.6 Loss estimation for recent earthquakes31.7 Prompt Assessment of Global Earthquakes for Response (PAGER) products and ongoing developments31.8 Conclusions31.9 AcknowledgmentsIndex
