Structural Reliability Analysis and Prediction

Höfundar: Robert E. Melchers; Andre T. Beck (Útgáfa: 3)
Structural Reliability Analysis and Prediction

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Structural Reliability Analysis and Prediction, Third Edition is a textbook which addresses the important issue of predicting the safety of structures at the design stage and also the safety of existing, perhaps deteriorating structures. Attention is focused on the development and definition of limit states such as serviceability and ultimate strength, the definition of failure and the various models which might be used to describe strength and loading.

This book emphasises concepts and applications, built up from basic principles and avoids undue mathematical rigour. It presents an accessible and unified account of the theory and techniques for the analysis of the reliability of engineering structures using probability theory. This new edition has been updated to cover new developments and applications and a new chapter is included which covers structural optimization in the context of reliability analysis.

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Útgefandi
Wiley Global Research (STMS)
ISBN
9781119266068
Print ISBN
9781119265993
Format
ePub
Útgáfa
3
Höfundar
Robert E. Melchers; Andre T. Beck
Tungumál
English
Útgefið
2017-11-02
Prent takmörkun á líftíma
100
Prent takmörkun
10
Afritunar takmörkun
2

Kaflar

  • Title Page
  • Copyright
  • Preface
  • Preface to the Second Edition
  • Preface to the First Edition
  • Acknowledgements
  • Chapter 1: Measures of Structural Reliability
  • 1.1 Introduction
  • 1.2 Deterministic Measures of Limit State Violation
  • 1.3 A Partial Probabilistic Safety Measure of Limit State Violation—The Return Period
  • 1.4 Probabilistic Measure of Limit State Violation
  • 1.5 Generalized Reliability Problem
  • 1.6 Conclusion
  • Chapter 2: Structural Reliability Assessment
  • 2.1 Introduction
  • 2.2 Uncertainties in Reliability Assessment
  • 2.3 Integrated Risk Assessment
  • 2.4 Criteria for Risk Acceptability
  • 2.5 Nominal Probability of Failure
  • 2.6 Hierarchy of Structural Reliability Measures
  • 2.7 Conclusion
  • Chapter 3: Integration and Simulation Methods
  • 3.1 Introduction
  • 3.2 Direct and Numerical Integration
  • 3.3 Monte Carlo Simulation
  • 3.4 Importance Sampling
  • 3.5 Directional Simulation*
  • 3.6 Practical Aspects of Monte Carlo Simulation
  • 3.7 Conclusion
  • Chapter 4: Second-Moment and Transformation Methods
  • 4.1 Introduction
  • 4.2 Second-Moment Concepts
  • 4.3 First-Order Second-Moment (FOSM) Theory
  • 4.4 The First-Order Reliability (FOR) Method
  • 4.5 Second-Order Reliability (SOR) Methods
  • 4.6 Application of FOSM/FOR/SOR Methods
  • 4.7 Mean Value Methods
  • 4.8 Conclusion
  • Chapter 5: Reliability of Structural Systems
  • 5.1 Introduction
  • 5.2 Systems Reliability Fundamentals
  • 5.3 Monte Carlo Techniques for Systems
  • 5.4 System Reliability Bounds
  • 5.5 Implicit Limit States
  • 5.6 Functionally Dependent Limit States
  • 5.7 Conclusion
  • Chapter 6: Time-Dependent Reliability
  • 6.1 Introduction
  • 6.2 Time-Integrated Approach
  • 6.3 Discretized Approach
  • 6.4 Stochastic Process Theory
  • 6.5 Stochastic Processes and Outcrossings
  • 6.6 Time-Dependent Reliability
  • 6.7 Load Combinations
  • 6.8 Ensemble Crossing Rate and Barrier Failure Dominance
  • 6.9 Dynamic Analysis of Structures
  • 6.10 Fatigue Analysis
  • 6.11 Conclusion
  • Chapter 7: Load and Load Effect Modelling
  • 7.1 Introduction
  • 7.2 Wind Loading
  • 7.3 Wave Loading
  • 7.4 Floor Loading
  • 7.5 Conclusion
  • Chapter 8: Resistance Modelling
  • 8.1 Introduction
  • 8.2 Basic Properties of Hot-Rolled Steel Members
  • 8.3 Properties of Steel Reinforcing Bars
  • 8.4 Concrete Statistical Properties
  • 8.5 Statistical Properties of Structural Members
  • 8.6 Connections
  • 8.7 Incorporation of Member Strength in Design
  • 8.8 Conclusion
  • Chapter 9: Codes and Structural Reliability
  • 9.1 Introduction
  • 9.2 Structural Design Codes
  • 9.3 Safety-Checking Formats
  • 9.4 Relationship Between Level 1 and Level 2 Safety Measures
  • 9.5 Selection of Code Safety Levels
  • 9.6 Code Calibration Procedure
  • 9.7 Example of Code Calibration
  • 9.8 Observations
  • 9.9 Performance-Based Design
  • 9.10 Conclusion
  • Chapter 10: Probabilistic Evaluation of Existing Structures
  • 10.1 Introduction
  • 10.2 Assessment Procedures
  • 10.3 Updating Probabilistic Information
  • 10.4 Analytical Assessment
  • 10.5 Acceptance Criteria for Existing Structures
  • 10.6 Conclusion
  • Chapter 11: Structural Optimization and Reliability
  • 11.1 Introduction
  • 11.2 Types of Reliability-based Optimization Problems
  • 11.3 Reliability Based Design Optimization (RBDO) Using First Order Reliability (FOR)
  • 11.4 RBDO with System Reliability Constraints
  • 11.5 Simulation-based Design Optimization
  • 11.6 Life-cycle Cost and Risk Optimization
  • 11.7 Discussion and Conclusion
  • Appendix A: Summary of Probability Theory
  • A.1 Probability
  • A.2 Mathematics of Probability
  • A.3 Description of Random Variables
  • A.4 Moments of Random Variables
  • A.5 Common Univariate Probability Distributions
  • A.6 Jointly Distributed Random Variables
  • A.7 Moments of Jointly Distributed Random Variables
  • A.8 Bivariate Normal Distribution
  • A.9 Transformation of Random Variables
  • A.10 Functions of Random Variables
  • A.11 Moments of Functions of Random Variables
  • A.12 Approximate Moments for General Functions
  • Appendix B: Rosenblatt and Other Transformations
  • B.1 Rosenblatt Transformation
  • B.2 Nataf Transformation
  • B.3 Orthogonal Transformation of Normal Random Variables
  • B.4 Generation of Dependent Random Vectors
  • Appendix C: Bivariate and Multivariate Normal Integrals
  • C.1 Bivariate Normal Integral
  • C.2 Multivariate Normal Integral
  • Appendix D: Complementary Standard Normal Table
  • D.1 Standard Normal Probability Density Function φ(x)
  • Appendix 5: Random Numbers
  • Appendix E: Selected Problems
  • References
  • Index
  • End User License Agreement