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Handbook of Seismic Risk Analysis and Management of Civil Infrastructure Systems

  • ID: 3744600
  • Book
  • June 2016
  • 920 Pages
  • Elsevier Science and Technology
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 practices
- Examines research into the analysis of ground motion and seismic hazard assessment, seismic risk hazard methodologies
- Addresses the assessment of seismic risks to buildings, bridges, water supply systems and other aspects of civil infrastructure
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Part I: Ground motions and seismic hazard assessment

Chapter 1: Probabilistic seismic hazard analysis of civil infrastructure


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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

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Tesfamariam, S
Dr Solomon Tesfamariam is an Assistant Professor at The University of British Columbia, Canada.
Goda, K
Dr K. Goda is a Lecturer in the Department of Civil Engineering at the University of Bristol, UK.
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