11‐1: Sensitivity Analysis of Mechanical Parameters to Tensile Wrinkle in Fine Metal Mask

2021 ◽  
Vol 52 (1) ◽  
pp. 123-126
Author(s):  
Yue Liu ◽  
Shanshan Bai ◽  
Yansong Li ◽  
Na Bi ◽  
Kuo Shen ◽  
...  
2015 ◽  
Vol 15 (01) ◽  
pp. 1550018
Author(s):  
ATEFEH AGHAJANI ◽  
MAHAN RAHIMI ◽  
MOHAMMAD HAGHPANAHI

In the quasi-static ultrasound breast elastography, the simulated displacement greatly influence the results. The breast modeling requires certain mechanical parameters for generating the simulated displacements. However, there are wide ranges of data in the existing literature for the breast mechanical parameters. Therefore, the sensitivity analysis of displacement to the changes of mechanical parameters worths a particular attention. In this paper we construct a three-dimensional (3D) breast model using magnetic resonance images. The constitutive equations corresponding to both linear elastic and hyperelastic (nonlinear) mechanical behaviors are considered. Then, two series of finite element analysis are performed in order to investigate how the changes of mechanical parameters of the fat and fibroglandular tissues may influence the displacement. The obtained results demonstrate that the displacement are generally less sensitive in the hyperelastic modeling (to the changes of material properties) than they are in the linear elastic modeling. Furthermore, the breast deformation is more influenced by the changes of material properties of fat part than the fibroglandular part.


2013 ◽  
Vol 368-370 ◽  
pp. 1756-1761 ◽  
Author(s):  
Feng Shen ◽  
Ying Xu ◽  
Jian Ping Chen ◽  
Chang Qun Zuo

The physical and mechanical parameters of surrounding rock have great influence on the stability of construction. In order to fully grasp the construction mechanical characteristics of surrounding rock highway tunnel under different mechanical parameters in Wudang schist tunnel, the in-situ measurement and numerical calculation are both used for sensitivity analysis of four mechanical parameters to the mechanical characteristics of surrounding rock-lining. The result shows that the sensitivity of E to deformation of surrounding tunnel is greatest, followed by μ, and both sensitivity far outweigh the one of C, φ. Sensitivity of C, φ on stress around the working face are larger than others. And sensitivities of these parameters to lining are different from stress and deformation. The sequences of sensitivity in a decreasing order, are the deformation modulus, the Poissons ratio, cohesion force and friction angle. However four parameters of sensitivity are not significant. These results provide reference on structure design, construction monitoring, disaster control in soft rock tunnel.


2016 ◽  
Vol 10 (1) ◽  
pp. 448-460 ◽  
Author(s):  
C.B. Zhou ◽  
R. He ◽  
N. Jiang ◽  
S.W. Lu

Due to the complexity of multiple rocks and multiple parameters circumstance, various parameters are often reduced to only one parameter empirically to generalize geological conditions, ignoring the really influential parameters. A developed method was presented as a complement to 3D displacement inversion to obtain the relative important parameters under complex conditions with limited computational work. Furthermore, this method was applied to a high steep slope in open-pit mining to investigate field applicability of the developed system. Back analysis was conducted in the reality of the east open-pit working area of Daye Iron Mine and propositional steps were presented for parameters solving in complex circumstance. Firstly, multi-factor and single-factor sensitivity analysis were carried out to classify rock mass and mechanical parameters respectively according to the extent of their effects on deformations. Secondly, based on the results, main influence factors were selected as inversion parameters and taken into a 3D calculating model to get the displacement field and stress field, all of which would be the artificial network training samples together with inversion parameters. Thirdly, taking the real deformations as input for the trained back propagation (BP) neural network, the real material mechanical parameters could be obtained. Finally, the results of trained neural network have been confirmed by field monitoring data and provide a reference to obtain the matter parameters in complicated environment for other similar projects.


Author(s):  
Yongtao Liu ◽  
Hailong Zhang ◽  
Dongjian Zheng ◽  
Enhua Cao ◽  
Pengcheng Kuai

2019 ◽  
Vol 11 (2) ◽  
pp. 90-94
Author(s):  
D. Tao ◽  
O.S. Barykina ◽  
K. Kang

 There are many engineering-geological problems in Moscow, including seepage deformation, karst and landslide. Among them, landslides develop along the Moscow River and its branches. This paper aims to analyze the slope stability of “Vorobyovy Gory” landslide with the help of the program GeoStudio. According to the limit equilibrium method, we can know the slope stability. In addition, we can know the internal friction angle among in the physical and mechanical parameters of soil layer has the greatest influences on its stability by sensitivity analysis. Finally, we can get the probability of damage by probabilistic analysis.


2013 ◽  
Vol 353-356 ◽  
pp. 491-494
Author(s):  
Ying Xiang Wu ◽  
Qiang Liu ◽  
Yu Jun Cang

A new method for reliability and sensitivity analysis of slope stability is proposed in this paper, which is based on strength reduction FEM. In this proposed method, the safety factor of slope can be calculated without assuming the shape and position of failure surface beforehand, and the randomness of physical and mechanical parameters of slope are considered in the calculation process. Meanwhile, the slopes failure probability is researched when the coefficients of variability change, and some useful conclusions are achieved.


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