The Reliability Analysis for Coastal Structure Based on Monte Carlo Method

2008 ◽  
Author(s):  
Yam Huang ◽  
Honda Shi ◽  
Wei Wang ◽  
Yong Fan
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Reliability Analysis ◽  
Failure Probability ◽  
Mathematical Analysis ◽  
Yellow Sea ◽  
Calculation Model ◽  
Coastal Structure ◽  
The Monte Carlo Method ◽  
Deterministic Methods

The Monte Carlo method is often a favorite selection to estimate the reliability of structure since it involves no complex mathematical analysis, especially when systems are so complex or large that deterministic methods are difficult. In this paper, Monte Carlo method is used to analyse the failure probability of a gravity wharf in Yellow Sea. In addition, in view of the uncertainty exited in calculation model or other aspects, the sensitivity of failure probability is calculated.

Reliability Analysis of Embankment Slope in Yaan-Luku Expressway

2011 ◽  
Vol 71-78 ◽  
pp. 1360-1365
Author(s):  
Jian Quan Ma ◽  
Guang Jie Li ◽  
Shi Bo Li ◽  
Pei Hua Xu
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Reliability Analysis ◽  
Failure Probability ◽  
Latin Hypercube Sampling ◽  
Natural State ◽  
State Function ◽  
Embankment Slope ◽  
The Times ◽  
Distribution Type

Take a typical cross-section of rockfill embankment slope in Yaan-Luku highway as the research object, reliability analysis is studied under the condition of water table of 840.85m, 851.50m, and loading condition of natural state and horizontal seismic acceleration of 0.2g, respectively. Raw data use Kolmogorov-Smirnov test (K-S test) to determine the distribution type of parametric variation. And the parameters were sampling with Latin hypercube sampling (LHS) method and Monte Carlo (MC) method, respectively, to obtain state function and determine safety factors and reliability indexes. A conclusion is drawn that the times of simulation based on LHS method were less than Monte Carlo method. Also the convergence of failure probability is better than the Monte Carlo method. The safety factor is greater than one and the failure probability has reached to 35.45% in condition of earthquake, which indicating that the instability of rockfill embankment slope is still possible.

An Improved FOSM Method for Calculating the Failure Probability of Welded Pipes with Cracks

2004 ◽  
Vol 261-263 ◽  
pp. 561-566
Author(s):  
Li Xing Huo ◽  
Min Liu ◽  
You Feng Zhang ◽  
Fang Juan Qi
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Failure Probability ◽  
Safety Assessment ◽  
Linear Expansion ◽  
Failure Function ◽  
The Monte Carlo Method

To increase the accuracy of R-F method, it is necessary to solve the problems of the linear expansion of failure function and non-normal variables. In this paper, the improved FOSM method was applied to calculate the failure probability of welded pipes with cracks. The examples show that this method is simple, efficient and accurate for reliability safety assessment of welded pipes with cracks. It can save more time than the Monte Carlo method does, so that the improved FOSM method is recommended for general engineering reliability safety assessment of welded pipes with cracks.

Reliability Analysis on Yuwangbian Slop Based on Monte-Carlo Simulation

2011 ◽  
Vol 250-253 ◽  
pp. 3934-3940
Author(s):  
Yi Fang Feng ◽  
Hua Zhi Zhang ◽  
Yu Wang ◽  
Qing Jun Zuo
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Reliability Analysis ◽  
Working Condition ◽  
Actual Condition ◽  
Stability Factor ◽  
Analysis Method ◽  
Loess Slope ◽  
The Monte Carlo Method ◽  
The Stability

Based on the Yuwangbian high loess slope, which is located in Xi'an Yanta District, the basic principle of Monte-Carlo method is presented. By means of geotechnical engineering and geotechnical environment emulation software Geostudio-slope/w and based on Morgenstern-Price slope stability analysis method, the reliability and stability of the slope are analyzed under different kinds of working condition. The stability factor, reliability index and failure probability under the corresponding working conditions has been obtained. The results coincide with the actual condition, which makes the Geostudio software combine with the Monte-Carlo method and provides reference for the reliability analysis of loess slope.

scholarly journals Reliability analysis of the security and stability control device based on the Monte Carlo method

2018 ◽  
Vol 145 ◽  
pp. 9-14 ◽  
Author(s):  
Xueming Li ◽  
Zengji Liu ◽  
Yi Tang ◽  
Xu Gao ◽  
Yingxin Ma ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Reliability Analysis ◽  
Stability Control ◽  
Control Device ◽  
The Monte Carlo Method

Reliability analysis of helicopter emergency flotation system

2020 ◽  
Vol 64 (1-4) ◽  
pp. 1001-1009
Author(s):  
Xing Guo ◽  
Jian-Hong Sun ◽  
Ke Liu ◽  
Tong Zhang ◽  
Ming-Qi Li ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Reliability Analysis ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Reliability Design ◽  
Minimal Cut Set ◽  
The Monte Carlo Method ◽  
Cut Set ◽  
Event Based

The reliability of the emergency flotation system of helicopters is analysed by using fault tree analysis and the Monte Carlo method. We constructed a fault tree with the failure of system as the top event and obtained the minimal cut set, the ranking of the structural importance of the bottom events and the probability of the occurrence of the top event. Based on the system fault tree, a Monte Carlo simulation model of the emergency flotation system is established by using Matlab/Simulink. The results show that the Monte Carlo method is feasible and effective for the reliability analysis of the emergency flotation systems of helicopters. Furthermore, the comparison between the criticality importance and mode importance of each subsystem suggests that the control component is the weakest part of the emergency flotation systems, thereby providing a basis for system reliability design and fault diagnosis.

The Reliability Analysis of Wheel Groove Milling Machine's Column Based on Probability Finite Element Method

2014 ◽  
Vol 532 ◽  
pp. 487-490 ◽  
Author(s):  
Fan Jie Luo ◽  
Dan Lu Song
Keyword(s):  
Finite Element Method ◽  
Finite Element ◽  
Monte Carlo ◽  
Elastic Modulus ◽  
Monte Carlo Method ◽  
Reliability Analysis ◽  
Structure Design ◽  
Column Height ◽  
Milling Machine ◽  
The Monte Carlo Method

Taking the column of the wheel groove milling machine as the research object, the randomness of the structure design parameter is simulated with the PDS of the ANSYS procedure, by taking the column height, load and elastic modulus as input random variables. The reliability analysis for the column deformation has been done with the Monte Carlo method. The results showed that the column reliability is 100% under the sample for 1000 times, and the number of simulation meets accuracy requirements. The evaluation of the probabilistic sensitivities showed that: the elastic modulus is the most important factor affecting the column reliability, and the reliability of column can be improved by decreasing the dispersion of the property parameters of the material.

The Application of Artificial BP Neural Networks and Monte-Carlo Method for the Reliability Analysis on Frame Structure

2012 ◽  
Vol 204-208 ◽  
pp. 3256-3259 ◽  
Author(s):  
Zhi Cheng Xue ◽  
Hai Jun Wang
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Reliability Analysis ◽  
Limit State ◽  
Frame Structure ◽  
State Function ◽  
Range Data ◽  
Limit State Function ◽  
The Monte Carlo Method ◽  
Wide Range

In order to conduct the reliability analysis of frame structure, the limit state function was first fitted by artificial BP neural network. Then considering the orthogonal array method, sample data was arranged. After that an improved network modes was trained for the probabilistic analysis on a wide range data with the Monte-Carlo method. The mean and standard deviation for the limit state function was easily obtained and the reliability index on the structure can be also calculated. Finally, the example indicated that this method used in the reliability analysis for frame structure was feasible.

scholarly journals Minimax Decision for the Reliability of Aircraft Fleet With and Without Information Exchange

2016 ◽  
Vol 3 (1) ◽  
pp. 24-30
Author(s):  
Sergejs Tretjakovs ◽  
Jurijs Paramonovs
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Failure Probability ◽  
Information Exchange ◽  
Human Factor ◽  
Fatigue Cracks ◽  
Scientific Article ◽  
Numerical Examples ◽  
The Monte Carlo Method ◽  
New Type

Abstract The scientific article addresses the dependence of aircraft fleet safety on the human factor. The article demonstrates the significance of information exchange concerning the open fatigue cracks, which is necessary to bring a new type of aircraft into operation. The article provides numerical examples obtained by means of the Monte Carlo method and considers the dependences of failure probability on various factors.

UGR CALCULATION BASED ON THE LUMINANCE SPATIAL-ANGULAR DISTRIBUTION

2020 ◽  
Vol 2020 (4) ◽  
pp. 25-32
Author(s):  
Viktor Zheltov ◽  
Viktor Chembaev
Keyword(s):  
Monte Carlo ◽  
Angular Distribution ◽  
Monte Carlo Method ◽  
Visual Task ◽  
New Method ◽  
Lighting System ◽  
Preliminary Assessment ◽  
System A ◽  
The Monte Carlo Method

The article has considered the calculation of the unified glare rating (UGR) based on the luminance spatial-angular distribution (LSAD). The method of local estimations of the Monte Carlo method is proposed as a method for modeling LSAD. On the basis of LSAD, it becomes possible to evaluate the quality of lighting by many criteria, including the generally accepted UGR. UGR allows preliminary assessment of the level of comfort for performing a visual task in a lighting system. A new method of "pixel-by-pixel" calculation of UGR based on LSAD is proposed.

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