Reliability analysis of a structural element based on the Advanced First-Order-Second-Moment Method.

1985 ◽  
Vol 51 (472) ◽  
pp. 2811-2816
Author(s):  
Yoshisada MUROTSU ◽  
Masaaki YONEZAWA ◽  
Hiroo OKADA ◽  
Satoshi MATSUZAKI ◽  
Toshiki MATSUMOTO
2011 ◽  
Vol 101-102 ◽  
pp. 1074-1077
Author(s):  
Gui Wen Yu

The wood-plastic structural plates, which were made of polyethylene (PE) and poplar powder, were used in decking as a structural material. It is of great significance to analyze the material reliability for the safety in service. In this paper, the modulus of elasticity and static bending strength of specimens were obtained through test, the first order second moment method (FOSM) was used to analyze the reliability of the wood-plastic structural plates. The result showed that the wood-plastic structural plates have a better reliability, and the reliability of the wood-plastic structural plates was related to the thickness of the specimens.


1970 ◽  
Vol 1 (1) ◽  
pp. 26-34
Author(s):  
P Radha ◽  
K Rajagopalan

Reliability analysis is essential to reduce the structural system failures to an acceptance level. In this paper, a quasi-Monte Carlo Simulation method called ‘Random Polar Sampling Technique' (RPST) has been described for the reliability analysis of ring stiffened shell structure, in which the combinations of variates are obtained using a polar sampling of Latin hypercube sampled values. An efficient computer program coded in C++ has been developed for use with the RPST. Reliability analysis of internally ring stiffened submarine pressure hull has been described as an illustration and the results are compared with those given by First Order Second Moment method (FOSM), Advanced First Order Second Moment method (AFOSM) and Monte-Carlo Simulation methods. Keywords: Random Polar Sampling Technique, Reliability, Ring stiffened shells, Submarine pressure hull, Latin Hypercube Samples.   doi: 10.3329/jname.v1i1.2036 Journal of Naval Architecture and Marine Engineering 1(2004) 26-34


2013 ◽  
Author(s):  
SooMi Shin ◽  
◽  
DongEun Lee ◽  
HyeMin Kim ◽  
HyunJung Park ◽  
...  

2008 ◽  
Vol 385-387 ◽  
pp. 621-624 ◽  
Author(s):  
Sang Hun Han ◽  
Woo Sun Park

Due to the uncertainty of variables in durability model, the probabilistic approach is increasing. Monte Carlo Simulation (MCS) is an easily accessible method, but requires a lot of repeated operations. This paper evaluated the effectiveness of First Order Second Moment method (FOSM), which is more convenient and time saving method than MCS, to predict the corrosion initiation in harbor concrete structure. Mean Value First Order Second Moment method (MV FOSM) and Advanced First Order Second Moment method (AFOSM) are applied to the error function solution of Fick's second law modeling chloride diffusion. Reliability index and failure probability based on MV FOSM and AFOSM are compared with the results by MCS. The comparison showed that AFOSM and MCS predict similar reliability indexes and MV FOSM underestimates the probability of corrosion initiation by chloride attack. Also, the sensitivity of variables in durability model to failure probability was evaluated on the basis of AFOSM. The results showed that AFOSM is a simple and efficient method to estimate the possibility of corrosion initiation in harbor concrete structures.


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