The Application of MARS on Crashworthiness Improvement

Yun Kai Gao; Fang Sun

doi:10.4028/www.scientific.net/AMR.118-120.384

Paper Titles

Bifurcation of Non-Semi-Simple Zero Eigenvalues at the Critical Point of the Statical Bifurcation of Nonlinear Rotor System
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A Novel Variable Neighborhood Genetic Algorithm for Multi-Objective Flexible Job-Shop Scheduling Problems
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Failure Rate Analysis and Model Consisting of Four Elements for Components
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Hybrid Genetic Algorithm with Simulated Annealing Based on Best-Fit Strategy for Rectangular Packing Problem
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The Application of MARS on Crashworthiness Improvement
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Design of Double-Deck Isolation Systems
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Bearing Parameter Optimization of a Compressor Rotor System Based on Orthogonal Experimental Design
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An Approach Based on Enhanced Collaborative Optimization and Kriging Approximation in Multidisciplinary Design Optimization
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Planning of Step-Stress Accelerated Degradation Test with Stress Optimization
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 118-120The Application of MARS on Crashworthiness...

The Application of MARS on Crashworthiness Improvement

Abstract:

Surrogate model produced by using multivariate adaptive regression spline (MARS) approach takes the form of an expansion in a set of basis functions which are selected from data. This approach is especially useful in the case of having no advance understanding of the parametric model. As for MARS procedure, the adaptive adjustment is used frequently to best fit the data optimally. In this paper, the adaptive adjustment is realized by using Matlab programming language and provides support for MARS procedure. Taking crashworthiness improvement for example, the program is applied to produce surrogate model for peak acceleration, and then the optimization is carried out based on this model. The results indicate that the surrogate model constructed by MARS approach can predict peak acceleration precisely and therefore can provide instruct for crashworthiness improvement.

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Periodical:

Advanced Materials Research (Volumes 118-120)

Pages:

384-388

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.118-120.384

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Online since:

June 2010

Authors:

Yun Kai Gao, Fang Sun

Keywords:

Adaptive Adjustment, MARS, Peak Acceleration, Surrogate Model

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