Plane Truss Reliability Numerical Simulation Based on MATLAB

2012 ◽  
Vol 256-259 ◽  
pp. 1091-1096
Author(s):  
Yuan Ying Li ◽  
De Sheng Zhang
Keyword(s):  
Numerical Simulation ◽  
Monte Carlo ◽  
Monte Carlo Method ◽  
Response Surface ◽  
Vertical Displacement ◽  
Basic Principles ◽  
Structure Reliability ◽  
Surface Method ◽  
Direct Sampling ◽  
Simulation Based

Based on the basic principles of structure reliability numerical analysis, the numerical simulation of the displacement and stress reliability of plane truss under vertical load was programmed with MATLAB. The failure probability of the most unfavorable structural vertical displacement and stress and reliable indicators were obtained through direct sampling Monte Carlo method, response surface method, response surface-Monte Carlo method and response surface-important sampling Monte Carlo method. It is found that calculation lasts longer since there are so many samples with Monte-Carlo method, higher accuracy and less calculation time can be achieved through response surface-Monte Carlo method and response surface-important sampling Monte Carlo method with fewer samples. The results of different numerical simulation calculations are almost identical and reliable, providing references to reliability analysis of complex structures.

FEM Simulation on the Structural Reliability of Beam Pumping Unit Based on the Methods of Monte-Carlo

2010 ◽  
Vol 34-35 ◽  
pp. 820-824 ◽  
Author(s):  
Xiu Juan Yang ◽  
Yong Li Yan ◽  
Zhi Qian Xu ◽  
Xiang Zhen Yan
Keyword(s):  
Monte Carlo ◽  
Response Surface ◽  
Response Surface Method ◽  
Structural Reliability ◽  
Complex Structure ◽  
Fem Simulation ◽  
Structure Reliability ◽  
Surface Method ◽  
Pumping Unit

In order to know something about the structure reliability of beam pumping unit, the methods of Monte-Carlo and response surface method are used to analyze the pumping unit. According to the analysis and calculation, the approach of how to calculate and analyze the reliability of complex structure is obtained. The results show that using the method of reliability can make the pumping unit more reliable and reveal the components of pumping unit more clearly which can make the design of pumping unit more reasonable.

Numerical Simulation and Experiment on Infrared Features of Exhaust Plume Based on Monte Carlo Method

2018 ◽  
Vol 47 (8) ◽  
pp. 826001
Author(s):  
郑海晶 ZHENG Hai-jing ◽  
白廷柱 BAI Ting-zhu ◽  
王全喜 WANG Quan-xi
Keyword(s):  
Numerical Simulation ◽  
Monte Carlo ◽  
Monte Carlo Method ◽  
Exhaust Plume ◽  
Simulation And Experiment

An optimized design of compression sportswear fabric using numerical simulation and the response surface method

2011 ◽  
Vol 82 (2) ◽  
pp. 108-116 ◽  
Author(s):  
Yinglei Lin ◽  
Ka-fai Choi ◽  
Ming Zhang ◽  
Yi Li ◽  
Ameersing Luximon ◽  
...  
Keyword(s):  
Numerical Simulation ◽  
Response Surface ◽  
Response Surface Method ◽  
Optimized Design ◽  
Surface Method

scholarly journals Analysis of Sluice Foundation Seepage Using Monitoring Data and Numerical Simulation

2019 ◽  
Vol 2019 ◽  
pp. 1-15 ◽  
Author(s):  
Fan Xuefeng ◽  
Zhenyu Wu ◽  
Liu Lijun ◽  
Yanfeng Wen ◽  
Shu Yu ◽  
...  
Keyword(s):  
Numerical Simulation ◽  
Response Surface ◽  
Water Levels ◽  
Monitoring Data ◽  
Seepage Analysis ◽  
Seepage Pressure ◽  
Permeability Coefficients ◽  
Flood Season ◽  
Surface Method ◽  
Periodical Variation

For sluices built on soil foundations, seepage safety of the foundation is one of the most concerns during operation of sluices. Monitoring data could reflect the real seepage behavior in the foundation, but of which the shortcoming is that generally only the local seepage states can be measured. The seepage field in the whole foundation can be analyzed by numerical simulation. The permeability coefficients of the foundation materials significantly affect the numerical simulation results; however, it is difficult to accurately determine the values of permeability coefficients. In this paper, an approach based on response surface method (RSM) for calibration of permeability coefficients was proposed, and the efficiency of parameter calibration is improved by constructing the response surface equation instead of time-consuming finite element calculation of foundation seepage. The seepage in a sluice foundation was analyzed using monitoring data and numerical simulation. The monitoring data showed that the seepage pressure in the foundation periodically varies with high value in flood season and low value in dry season. After calibration of the permeability coefficients of the foundation materials using the measured seepage pressure, the seepage fields in the foundation for different water levels were numerically simulated to investigate the cause for the periodical variation of the seepage pressure and the seepage safety of the foundation was assessed with the calculated seepage gradients. The methods adopted in this study could be applied to seepage analysis for sluice foundations with similar geologic conditions and antiseepage measures.

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