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Method and system of identification of most influential design variables in engineering design optimization

A technology of design variables and engineering design, applied in the field of graphic demonstration systems of design variables, which can solve the problems of high total cost of optimization and increase of the size of design space, etc.

Inactive Publication Date: 2011-10-19
LIVERMORE SOFTWARE TECH
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Problems solved by technology

[0004] Optimization of complex products with many associated components (e.g. automobiles, aircraft, etc.) results in a large number of parameters or design variables, increasing the size of the design space
Therefore, the total cost (both in terms of engineering and computation) of an optimization that needs to evaluate the response function of an industrial or practical problem (e.g. vehicle crashworthiness simulation) is very high due to the large number of designs that need to be carried out in the complete design space

Method used

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  • Method and system of identification of most influential design variables in engineering design optimization
  • Method and system of identification of most influential design variables in engineering design optimization
  • Method and system of identification of most influential design variables in engineering design optimization

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Embodiment Construction

[0015] refer to figure 1 , the tubular structural member 102 (ie, an exemplary engineering product) is optimized in an engineering optimization whose design goal is to minimize weight such that a given material (eg, conventional strength steel) costs are minimized. Obviously, a thinner thickness 104 will result in a lighter structure. However, at some point, the structure will become too weak to withstand design loads (such as structural damage due to material deformation and / or bending). Therefore, the engineering optimization of this tubular structure requires being able to achieve another design goal namely the maximization of strength, which will lead to a safer structure. In this illustrative example, thickness 104 is a design variable that may take a range between its lower limit and upper limit (eg, from one-eighth of an inch to one-half inch) as the design space. Any design proposal is selected from this space. In the multi-objective evolutionary algorithm, each in...

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Abstract

A method of identifying most influential design variables in a multi-objective engineering design optimization of a product is disclosed. According to one aspect of the present invention, a product is optimized with a set of design variables and a set of response functions as objectives and constraints. Representative product design alternatives (samples) are chosen from the design space and evaluated for responses. Metamodels are then used for fitting the sample responses to facilitate a global sensitivity analysis of all design variables versus the response functions. A graphical presentation tool is configured for allowing the user to conduct 'what-if' scenarios by interactively applying respective weight factors to response functions to facilitate identification of most influential design variables. Engineering design optimization is then conducted in a reduced design space defined by the most influential design variables.

Description

technical field [0001] The present invention mainly relates to engineering design optimization, more specifically, to a graphic presentation system and method for determining the most influential design variables in engineering design optimization. Background technique [0002] Computer aided engineering (CAE) has been used to help engineers perform tasks such as analysis, simulation, design, manufacturing, etc. In the traditional engineering design process, CAE analysis (such as finite element analysis (finite element analysis, FEA), finite difference analysis, meshless analysis, computational fluid dynamics (computational fluid dynamics, CFD) Modal analysis of the degree (noise-vibration-harshness, NVH), etc.) has been used to evaluate the response (eg, stress, displacement, etc.). Taking automotive design as an example, a specific version or design of a car is analyzed using finite element analysis to obtain the response due to specific loading conditions. Engineers wil...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
CPCG06F2111/06G06F30/23G06F30/00G06F2111/10
Inventor 图沙尔·戈尔
Owner LIVERMORE SOFTWARE TECH
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