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Full Description
This book covers the development of efficient methods for the assessment and the management of civil structures is today a major challenge from economical, social and environmental aspects. Tools for handling uncertainties in loads, geometry, material properties, construction and operating conditions are nowadays essential.
Covers the key concepts across topics including probability theory and statistics, structural safety, performance-based assessment, modelling uncertainties and principles of decision theory.
Contents
Preface . xi
Chapter 1. Concepts from Probability Theory and Statistics 1
1.1. The role of probability in civil engineering 1
1.2. Physical and statistical uncertainties 2
1.3. Axiomatics 3
1.4. Random variables - distributions 8
1.5. Useful random variables 21
1.6. Limit theorems 31
1.7. Modeling random variables 38
1.8. Distribution of extremes 51
1.9. Significance testing 58
1.10. Bayesian analysis 65
1.11. Stochastic processes 74
Chapter 2. Structural Safety, Performance and Risk 81
2.1. Introduction 81
2.2. Safety and risk 82
2.3. Risk evaluation and acceptable risk 87
2.4. Risk-based management 96
2.5. Examples of failure: bridges 105
2.6. From safety to performance 110
2.7. Human errors 122
Chapter 3. Performance-based Assessment 125
3.1. Analysis methods and structural safety 125
3.2. Safety and performance principles 134
3.3. Invariant measures 136
3.4. Reliability theory 138
3.5. General formulation 150
3.6. System reliability 187
3.7. Determination of collapse/failure mechanisms 208
3.8. Calibration of partial factors 217
3.9. Nature of a probabilistic calculation 224
3.10. Failure probabilities and acceptable risks 225
Chapter 4. Structural Assessment of Existing Structures 235
4.1. Introduction 235
4.2. Assessment rules 236
4.3. Limits when using design rules 236
4.4. Main stages in structural assessment 237
4.5. Structural safety assessment 239
4.6. General remarks on the methods 260
Chapter 5. Specificities of Existing Structures 261
5.1. Loads 261
5.2. Resistance 331
5.3. Geometric variability 348
5.4. Scale effects 351
Chapter 6. Principles of Decision Theory 355
6.1. Introduction 355
6.2. The decision model 356
6.3. Controls and inspections 364
6.4. Maintenance optimization 384
6.5. Life cycle cost analysis 391
6.6. Maintenance strategies 403
Bibliography 413
Index 423
