(343)310-00-99
sprut@sitis.ru
Применение
Продукция
Библиотека
Скачать
Личный кабинет
Форум
Компания
Главная » Библиотека » Виды мониторинга » Геодезический
Геодезический
Structural Reliability Theory
Structural Reliability Theory [2307]
Издательство: Aalborg
Количество страниц: 230
Год: 2004
Аннотация[149 КБ] 
Код: 10475
Содержание
Note 1: Introduction to risk analysis
1. 1. Introduction
2. 2. Definition of Risk
3. 3. Framework for Risk Analysis
4. 4. Implementation of Risk Analysis
5. 5. QRA methods
5.1. 5.1. Event Tree Analysis
5.2. 5.1. Fault Tree Analysis
5.3. 5.3. Risk Matrix
5.4. 5.4. Decision trees
6. 6. Risk acceptance criteria
7. 7. References
8. Opgave 1 - Risikoanalyse
Note 1+2: Structural reliability
1. 1. Introduction
2. 2. Basic Probability theory and Stochastic Variables
2.1. 2.1. Events and basis probability rules
2.2. 2.2. Continuous stochastic variables
2.3. 2.3. Conditional distributions
2.4. 2.4. Covariance and correlation
3. 3. Estimation of distribution parameters
3.1. 3.1. Maximum Likelihood method
3.2. 3.2. Moment method
3.3. 3.3. Least Squares method
3.4. 3.4. Bayesian statistics
3.5. 3.5. Example - timber
4. 4. References
Note 3: First order reliability methods
1. 3.1. Introduction
2. 3.2. Basic Variables and Limit State Functions
3. 3.3. Reliability Analysis for Linear Safety Margins
4. 3.4. Reliability Analysis with Non-Linear Failure Functions
5. 3.5. References
Note 4: First order reliability analysis with correlated and non-normal stochastic variables
1. 4.1. Introduction
2. 4.2. Reliability Index for Correlated, Normally Distributed Variables
3. 4.3. Reliability Index for Independent, Non-Normally Distributed Variables
4. 4.4. Reliability Index for Dependent, Non-Normally Distributed Variables
5. 4.5. Sensitivity Measures
6. 4.6. References
Note 5: SORM and Simulation techniques
1. 5.1. Second Order Reliability Method (SORM)
2. 5.2. Simulation of Stochastic Variables
3. 5.3. Crude Monte Carlo simulation
4. 5.4. Importance sampling
5. 5.5. Importance sampling based on the β-point
6. 5.6. Monte Carlo sampling by excluding part of sale area
7. 5.7. Other Simulation Techniques
8. 5.8. Sensitivity Measures
9. 5.9. References
Note 6: Reliability evaluation of series systems
1. 6.1. Introduction
2. 6.2. Modelling of Series Systems
3. 6.3. FORM Approximation of the Reliability of a Series System
4. 6.4. Evaluation of Series System Reliabilities
4.1. 6.4.1. Reliability Bounds of Series Systems
4.2. 6.4.2. Numerical Methods for Evaluation of Ф
5. 6.5. Sensitivity Analysis of Series Systems Reliabilities
6. 6.6. References
Note 7: Reliability evaluation of parallel systems
1. 7.1. Introduction
2. 7.2. Modelling of Parallel Systems
3. 7.3. FORM Approximation of the Reliability of a Parallel System
4. 7.4. Evaluation of Parallel Systems Reliabilities
5. 7.5. General Systems Reliability
6. 7.6. Reliability of Series Systems of Parallel Systems
7. 7.7. Sensitivity Analysis of General Systems
8. 7.8. References
Note 8: Structural reliability: Level 1 approaches
1. 1. Introduction
2. 2. Design values for loads and strengths
3. 3. Estimation of partial safety factors for one failure mode
4. 4. General procedure for estimating partial safety factors
5. 5. Design value format in Eurocodes
6. 6. Calibration of Partial Safety Factors for Danish Structural Codes
6.1. 6.1. Characteristic values for loads and strengths
6.2. 6.2. Partial safety factors for loads and strengths
6.3. 6.3. Stochastic models
6.4. 6.4. Probabilistic calibration of partial safety factors for load combination 2.1 and 2.3
6.5. 6.5. Partial safety factors for actions in new DS 409
7. 7. References
Note 9: Time-Variant reliability
1. 1. Introduction
2. 2. Stochastic processes
3. 3. Barrier Crossing
3.1. 3.1. Simulation
3.2. 3.2. Rice's In- and Exclusion Series
3.3. 3.3. The Poisson Assumption
3.4. 3.4. Initial Conditions
4. 4. Mean Number of Out-crossing
4.1. 4.1. Initial Conditions
4.2. 4.2. Gaussian Processes
5. 5. Distribution of Local Extremes
6. 6. Global Extremes
6.1. 6.1. Gaussian process
6.2. 6.2. Loads modeled by Poisson 'spike' process
6.3. 6.3. Loads modeled by Poisson square-wave process
7. 7. References
Note 10: Load combinations
1. 1. Introduction
2. 2. Exact model
3. 3. The Ferry Borges-Castanheta load model
4. 4. The Turkstra rule
4.1. 4.1. Reliability analysis
4.2. 4.2. Level 1 approach
5. References
Note 11: Example: Fatigue / Reliability-Based Inspection Planning
1. 1. Introduction
2. 2. Fatigue loading
3. 3. Stress Analysis
4. 4. Fatigue strength
4.1. 4.1. SN approach
4.2. 4.2. Fracture mechanics approach
4.3. 4.3. Fatigue cycle counting
4.4. 4.4. Simple example
5. 5. Example: Reliability analysis of fatigue critical details
5.1. 5.1. Evaluation of the equivalent stress range
5.2. 5.2. SN-Approach
5.3. 5.3. Fracture Mechanics
6. 6. Inspection Planning
7. 7. References
Note 12: Reliability updating
1. 1. Introduction
2. 2. Bayesian updating of stochastic variables
3. 3. Bayesian updating of stochastic variables
4. 4. References
Appendix A. Bayesian updating of distribution functions
1. A.1. Normal distribution with unknown mean
2. A.2. Normal distribution with unknown standard deviation
3. A.3. Normal distribution with unknown mean and standard deviation
4. A.4. Lognormal distribution
5. A.5. Gumbel distribution
6. A.6. Weibull distribution
7. A.7. Exponential distribution