| Description |
1 online resource (365 pages) |
| Series |
ISTE |
|
ISTE
|
| Contents |
Cover; Title Page; Copyright Page; Table of Contents; Preface; Introduction; PART 1. QUALITATIVE METHODS FOR EVALUATING THE RELIABILITY OF CIVIL ENGINEERING STRUCTURES; Introduction to Part 1; Chapter 1. Methods for System Analysis and Failure Analysis; 1.1. Introduction; 1.2. Structural analysis; 1.2.1. The sub-systems; 1.2.2. Environments; 1.2.3. Bounding the analysis; 1.2.4. Scales of a study; 1.3. Functional analysis; 1.3.1. Principles of functional analysis; 1.3.2. External functional analysis; 1.3.3. Internal functional analysis; 1.4. Failure Modes and Effects Analysis (FMEA) |
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1.4.1. Principles of FMEA1.4.2. Process FMEA; 1.4.3. Product FMEA; 1.5. Bibliography; Chapter 2. Methods for Modeling Failure Scenarios; 2.1. Introduction; 2.2. Event tree method; 2.3. Fault tree method; 2.3.1. Information acquisition; 2.3.2. Fault tree construction; 2.4. Bow-tie method; 2.5. Criticality evaluation methods; 2.5.1. Criticality formulation; 2.5.2. Civil engineering considerations; 2.6. Bibliography; Chapter 3. Application to a Hydraulic Civil Engineering Project; 3.1. Context and approach for an operational reliability study; 3.2. Functional analysis and failure mode analysis |
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3.2.1. Functional analysis of the system3.2.2. Failure mode analysis, and effects; 3.3. Construction of failure scenarios; 3.4. Scenario criticality analysis; 3.4.1. Hydrological study; 3.4.2. Hydraulic model and quantitative consequence analysis; 3.4.3. Evaluation of probability of technological failure; 3.4.4. Representing the criticality of a scenario; 3.5. Application summary; 3.6. Bibliography; PART 2. HETEROGENEITY AND VARIABILITY OF MATERIALS: CONSEQUENCES FOR SAFETY AND RELIABILITY; Introduction to Part 2; Chapter 4. Uncertainties in Geotechnical Data |
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4.1. Various sources of uncertainty in geotechnical engineering4.1.1. Erratic terrain, light disorder and anthropogenic terrain; 4.1.2. Sources of uncertainty, errors, variability; 4.1.3. Correlations between material properties; 4.2. Erroneous, censored and sparse data; 4.2.1. Erroneous data; 4.2.2. Bounded data; 4.2.3. Sparse data; 4.3. Statistical representation of data; 4.3.1. Notation; 4.3.2. Spatial variability of material properties; 4.4. Data modeling; 4.4.1. Probabilistic and possibilistic approaches; 4.4.2. Useful random variables (Gaussian, Weibull) |
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4.4.3. Maximum likelihood method4.4.4. Example: resistance measurements in concrete samples; 4.5. Conclusion; 4.6. Bibliography; Chapter 5. Some Estimates on the Variability of Material Properties; 5.1. Introduction; 5.2. Mean value estimation; 5.2.1. Sampling and estimation; 5.2.2. Number of data points required for an estimate; 5.3. Estimation of characteristic values; 5.3.1. Characteristic value and fractile of a distribution; 5.3.2. Example: resistance measurements for wood samples; 5.3.3. Optimization of number of useful tests; 5.3.4. Estimate of in situ concrete mechanical strength |
| Summary |
This book provides answers to the following problems: how to identify the most probable critical failures; how to describe and use data-concerning materials that are either heterogeneous, time-variant, or space-variant; how to quantify the reliability and lifetime of a system; how to use feedback information to actualize reliability results; and how to optimize an inspection politic or a maintenance strategy. Numerous authors from public research centers and firms propose a synthesis of methods, both new and well-known, and offer numerous examples concerning dams, geotechnical study, and struc |
| Notes |
5.4. Principles of a geostatistical study |
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Print version record |
| Subject |
Buildings -- Reliability
|
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Public works -- Reliability
|
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Structural failures -- Prevention
|
| Form |
Electronic book
|
| Author |
Breysse, D.
|
|
Schoefs, Franck
|
| ISBN |
9781118601129 |
|
1118601122 |
|
