NUMERICAL ANALYSIS OF SMART STRUCTURES WITH UNCERTAINTIES

2004 ◽  
Vol 01 (02) ◽  
pp. 227-239 ◽  
Author(s):  
S. VALLIAPPAN ◽  
C. K. CHEE

In this paper, a numerical method for the analysis of smart structures with uncertainties involved in the material parameters is presented. This method combines the finite element technique, concepts of fuzzy sets and optimization. For the optimization of fuzzy parameters, a sensitivity index is proposed. The sensitivity analysis based on the proposed sensitivity index can be effectively used to reduce the number of variables to be fuzzified and thus reducing the computational efforts considerably.

Author(s):  
Fatma Mokdad ◽  
Samy Missoum

This work in progress aims at investigating the influence of several parameters on the modal behavior of a grand piano soundboard. The sensitivity analysis is made possible by the development of a fully parameterized Finite Element model of the soundboard which allows the user to modify most geometric and material parameters involved in its dynamic behavior. In addition, crowning and downbearing are included in the model. This study also considers the influence of geometric nonlinearities due to downbearing. The sensitivity analysis is performed using Spearman rank correlation and Sobol indices.


2010 ◽  
Vol 118-120 ◽  
pp. 502-506
Author(s):  
Xue Hong He ◽  
Liang Dong Ding ◽  
Gui Yu Lin

Working condition and structure for crane boom is quite complex. In order to ensure the safety of crane, there is a high requirement for reliability. In this paper, probabilistic finite element method is used to analyze the reliability of crane boom. Parametric finite element model of crane boom is built and uncertain parameters are obtained by analyzing characteristics of dimensions, materials, loads and constraint conditions for crane boom. Uncertain parameters like structural dimensions, material parameters and loading parameters, etc are processed discretely and reliability of crane boom is obtained by using Probabilistic Design System (PDS) of ANSYS. Meanwhile, we can get the main parameters which affect reliability of crane boom and how much their influences will be by sensitivity analysis.


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