Finite element design sensitivity analysis and its integration with numerical optimization techniques for structural design

1989 ◽  
Vol 32 (3-4) ◽  
pp. 883-897 ◽  
Author(s):  
V. Kumar ◽  
S.-J. Lee ◽  
M.D. German
1994 ◽  
Vol 16 (4) ◽  
pp. 28-32
Author(s):  
Nguyen Van Pho

In this paper, the structural design sensitivity analysis is considered, in which the reliability is response functional. The author sets up the problem, proposes some methods for solving and apply the obtained results to a simple example.


PAMM ◽  
2016 ◽  
Vol 16 (1) ◽  
pp. 711-712
Author(s):  
Lukas Radau ◽  
Nikolai Gerzen ◽  
Franz-Joseph Barthold

Author(s):  
Douglas W. Stillman

Abstract Design Sensitivity Analysis (DSA) is a widely used technique in many areas of finite element analysis, but one that hasn’t yet become available for industrial problems in crashworthiness and automotive safety. In the following effort, an implementation of DSA in the automotive safety simulation program, Radioss, is described. Radioss is a non-linear structures program using an explicit time integration method. A full set of DSA equations are developed and integrated into Radioss so that the design sensitivities can be computed directly and accurately as a result of a single crashworthiness simulation. Some validation results are included. The resulting methodology promises to be an extremely useful tool for engineers involved in the design of safety and crashworthiness of automobiles.


Author(s):  
H Zhou ◽  
D Li ◽  
S Cui

A three-dimensional numerical simulation using the boundary element method is proposed, which can predict the cavity temperature distributions in the cooling stage of injection moulding. Then, choosing the radii and positions of cooling lines as design variables, the boundary integral sensitivity formulations are deduced. For the optimum design of cooling lines, the squared difference between the objective temperature and the temperature of the cavity is taken as the objective function. Based on the optimization techniques with design sensitivity analysis, an iterative algorithm to reach the minimum value of the objective function is introduced, which leads to the optimum design of cooling lines at the same time.


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