Structural performance : probability-based assessement /

• Κύριος συγγραφέας: Cremona, Christian
• Μορφή: Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: London : ISTE ; 2011.; Hoboken, NJ : Wiley, 2011.
• Σειρά: ISTE.
• Θέματα: Structural analysis (Engineering) > Statistical methods.; Structural failures > Risk assessment > Statistical methods.; TECHNOLOGY & ENGINEERING > Industrial Health & Safety.; TECHNOLOGY & ENGINEERING > Structural.; Electronic books.

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 condition...

Πίνακας περιεχομένων:

• Cover; Structural Performance; Title Page; Copyright Page; Table of Contents; Preface; Chapter 1. Concepts from Probability Theory and Statistics; 1.1. The role of probability in civil engineering; 1.2. Physical and statistical uncertainties; 1.3. Axiomatics; 1.3.1. Probabilities; 1.3.2. Axioms; 1.3.3. Consequences; 1.3.4. Conditional probabilities; 1.4. Random variables
• distributions; 1.4.1. Definitions; 1.4.2. Sampling; 1.4.3. Probability density function; 1.4.4. Main descriptors of a random variable; 1.4.5. Joint variables; 1.4.6. Independent variables; 1.4.7. Correlation coefficient.
• 1.4.8. Functions of random variables1.4.9. Approximate moments; 1.5. Useful random variables; 1.5.1. Discrete variables; 1.5.2. Normal distribution; 1.5.3. Lognormal distribution; 1.5.4. Beta distribution; 1.5.5. Exponential distribution; 1.5.6. Gamma distribution; 1.5.7. Student's t-distribution; 1.6. Limit theorems; 1.6.1. Law of large numbers; 1.6.2. Limit theorems; 1.7. Modeling random variables; 1.7.1. Point estimation; 1.7.2. Interval estimation; 1.7.3. Estimation of fractiles; 1.7.4. Estimation of the distribution; 1.8. Distribution of extremes; 1.9. Significance testing.
• 1.9.1. Type I and II errors1.9.2. Usual tests; 1.10. Bayesian analysis; 1.10.1. A priori and a posteriori distributions; 1.10.2. Updating estimators; 1.10.3. Bayesian networks; 1.11. Stochastic processes; 1.11.1. Basic principles; 1.11.2. Markovian chains; 1.11.3. State probability; 1.11.4. Time between stages; Chapter 2. Structural Safety, Performance and Risk; 2.1. Introduction; 2.2. Safety and risk; 2.2.1. Concepts of safety; 2.2.2. Concept of risk related to a danger or threat; 2.2.3. Risk assessment; 2.2.4. Hazard; 2.3. Risk evaluation and acceptable risk; 2.3.1. Risk assessment.
• 2.3.2. Acceptable risk2.4. Risk-based management; 2.4.1. Strategies; 2.4.2. Risk analysis; 2.4.3. Legal point of view for a risk-based approach; 2.5. Examples of failure: bridges; 2.6. From safety to performance; 2.6.1. Functions of a structure; 2.6.2. Performance; 2.6.3. Evolution of structural functionality; 2.6.4. Consequences of performance losses; 2.6.5. Generalization of the concept of risk; 2.7. Human errors; Chapter 3. Performance-based Assessment; 3.1. Analysis methods and structural safety; 3.1.1. Allowable stress principle; 3.1.2. Limit states and partial factors.
• 3.1.3. Probability-based approach3.2. Safety and performance principles; 3.2.1. New structures; 3.2.2. Existing structures; 3.3. Invariant measures; 3.4. Reliability theory; 3.4.1. Basic problem; 3.4.2. Convolution integral; 3.4.3. Normal variables; 3.4.4. Geometric expression of the reliability index; 3.4.5. Joint distribution representation; 3.4.6. Limit state with more than two uncorrelated normal variables; 3.4.7. Limit state with correlated variables; 3.5. General formulation; 3.5.1. Failure component
• failure mode; 3.5.2. Safety margins
• limit state functions.