Handbook of Seismic Risk Analysis and Management of Civil Infrastructure Systems

Herausgegeben:Tesfamariam, S; Goda, K

• Gebundenes Buch

Produktbeschreibung

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.

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Produktdetails

• Woodhead Publishing Series in Civil and Structural Engineering
• Verlag: Elsevier Science & Technology / Woodhead Publishing
• Artikelnr. des Verlages: C2013-0-16215-0
• Seitenzahl: 912
• Erscheinungstermin: 30. April 2013
• Englisch
• Abmessung: 241mm x 161mm x 55mm
• Gewicht: 1642g
• ISBN-13: 9780857092687
• ISBN-10: 0857092685
• Artikelnr.: 36268052

Autorenporträt

Solomon Tesfamariam is Assistant Professor of Engineering at the University of British Columbia, Canada. Dr. Tesfamariam's current research interest entails developing a multi-hazard risk-based decision support tools for infrastructure management and risk management of civil infrastructure using smart structures. Katsu Goda is Lecturer in Civil Engineering at the University of Bristol, UK. In 2012 he was awarded the Charles F. Richter Early Career Award from the Seismological Society of America. Dr. Goda's area of research is in earthquake risk management.

Inhaltsangabe

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

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Rezensionen

"...this Handbook should be a basic reference for all professionals, from researchers to practitioners and decision makers, involved in seismic risk analysis and management." --Journal of Seismology, July 1 2014