scholarly journals Target geotechnical reliability for redundant foundation systems

2017 ◽  
Vol 54 (7) ◽  
pp. 945-952 ◽  
Author(s):  
Farzaneh Naghibi ◽  
Gordon A. Fenton
Keyword(s):  
Monte Carlo Simulation ◽  
System Reliability ◽  
Shallow Foundations ◽  
Load Shedding ◽  
Deep Foundations ◽  
System Failure ◽  
Ultimate Capacity ◽  
Reliability Indices ◽  
The Relationship ◽  
Pile Resistance

Geotechnical support systems (e.g., deep and shallow foundations) generally involve at least some redundancy. For example, if a building is supported by np separate foundations, then failure (e.g., excessive settlement) of a single foundation will generally not result in failure of the building if the building is able to shed the load from the failed foundation to adjacent foundations. This load-shedding ability lends the foundation system redundancy — system failure only occurs if multiple foundations fail. This paper investigates the relationship between the level of geotechnical redundancy, individual foundation reliability, and system reliability for deep foundations (piles). In the particular case where the pile resistance remains constant after achieving its ultimate capacity (at a certain displacement), the relationship between individual and system reliabilities is computed theoretically. The more general case, where the load carried by the pile reduces after exceeding its ultimate capacity, is investigated by Monte Carlo simulation. Charts relating system and individual reliability indices are presented, which can be used to aid in the design of individual piles as part of a pile support system.

Study on System Reliability of Large Tensile Structure Based on Failure of Main Cables

2013 ◽  
Vol 753-755 ◽  
pp. 1477-1482
Author(s):  
Shi Tang
Keyword(s):  
Failure Probability ◽  
System Reliability ◽  
Failure Modes ◽  
System Failure ◽  
Design Strategies ◽  
Special Design ◽  
Structure System ◽  
Main Cables ◽  
The Relationship ◽  
Failure Probabilities

In this paper, cable-membrane structure roof of a stadium was taken as a research case, a system reliability research method for large tensile structure was proposed. In the method, failure probabilities of main tensile cables were determined firstly, and main failure modes were obtained according to the relationship between the main tensile cables failure and the system failure, system reliability index would be gotten on the basis of main tensile cables failure probabilities and main failure modes accordingly. In analysis of the stadium, JC method was applied to analyze the reliability of main tensile cables, it was shown that, compared with other cables, the failure probability of lower ring cables and that of lower radial cables were higher, so the structure system failure mode caused by lower ring cables failure and that caused by lower radial cables failure were underlined, and enumeration method has been adopted to analyze the reliability of structure system. The system failure probability caused by the failure of lower ring cables was found relatively high, and the failure of lower ring cables would result in the failure of the structure system immediately, so special attention should be paid. Finally, design strategies have been put forward according to the results of reliability research, safety protection lines were added up by special design of tensile cable joints, and the reliability of the structure system has been improved.

Estimation of System Reliability by Monte Carlo Simulation

2009 ◽  
Author(s):  
A. Naess ◽  
B. J. Leira ◽  
O. Batsevych
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Reliability Analysis ◽  
Failure Probability ◽  
Failure Criterion ◽  
System Reliability ◽  
Substantial Reduction ◽  
Structural Systems ◽  
System Failure ◽  
Simulation Monte Carlo

A new method for estimating the reliability of structural systems is proposed. The method is based on the use of Monte Carlo simulation. Monte Carlo based methods for system reliability analysis has several attractive features, the most important being that the system failure criterion is usually relatively easy to check almost irrespective of the complexity of the system. The disadvantage of such methods is the amount of computational efforts that may be involved. However, by reformulating the reliability problem to depend on a parameter and exploiting the regularity of the failure probability as a function of this parameter, it is shown that a substantial reduction of the computational efforts involved can be obtained.

Reliability Assessment of Power System Using Importance Sampling Technique Based on Layer Optimization Simulation

2011 ◽  
Vol 88-89 ◽  
pp. 554-558 ◽  
Author(s):  
Bin Wang
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Power System ◽  
Importance Sampling ◽  
System Reliability ◽  
Sampling Method ◽  
Sampling Technique ◽  
Test System ◽  
Importance Sampling Method ◽  
Importance Sampling Technique

An improved importance sampling method with layer simulation optimization is presented in this paper. Through the solution sequence of the components’ optimum biased factors according to their importance degree to system reliability, the presented technique can further accelerate the convergence speed of the Monte-Carlo simulation. The idea is that the multivariate distribution’ optimization of components in power system is transferred to many steps’ optimization based on importance sampling method with different optimum biased factors. The practice is that the components are layered according to their importance degree to the system reliability before the Monte-Carlo simulation, the more forward, the more important, and the optimum biased factors of components in the latest layer is searched while the importance sampling is carried out until the demanded accuracy is reached. The validity of the presented is verified using the IEEE-RTS79 test system.

Bayesian Networks Application in Multi-State System Reliability Analysis

2013 ◽  
Vol 347-350 ◽  
pp. 2590-2595 ◽  
Author(s):  
Sheng Zhai ◽  
Shu Zhong Lin
Keyword(s):  
Bayesian Network ◽  
Reliability Analysis ◽  
System Reliability ◽  
Prior Probability ◽  
State System ◽  
Weak Links ◽  
Uncertain Reasoning ◽  
Reliability Modeling ◽  
Line System ◽  
Reliability Indices

Aiming at the limitations of traditional reliability analysis theory in multi-state system, a method for reliability modeling and assessment of a multi-state system based on Bayesian Network (BN) is proposed with the advantages of uncertain reasoning and describing multi-state of event. Through the case of cell production line system, in this paper we will discuss how to establish and construct a multi-state system model based on Bayesian network, and how to apply the prior probability and posterior probability to do the bidirectional inference analysis, and directly calculate the reliability indices of the system by means of prior probability and Conditional Probability Table (CPT) . Thereby we can do the qualitative and quantitative analysis of the multi-state system reliability, identify the weak links of the system, and achieve assessment of system reliability.

Evaluation of generation system reliability indices by fast transform techniques

1995 ◽  
Vol 17 (4) ◽  
pp. 281-287
Author(s):  
S.R. Lakshmi ◽  
S.C. Tripathy ◽  
K.S.P. Rao ◽  
R. Balasubramianian
Keyword(s):  
System Reliability ◽  
Generation System ◽  
Reliability Indices ◽  
Fast Transform
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