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http://dx.doi.org/10.5762/KAIS.2021.22.5.128

Crashworthiness Analysis and Shape Design Optimization of Thin-walled Corrugated Tubes under Axial Impact  

Ahn, Seung Ho (Railroad Major Accident Research Team, Korea Railroad Research Institute)
Jung, Hyun Seung (Railroad Major Accident Research Team, Korea Railroad Research Institute)
Kim, Jin Sung (Railroad Major Accident Research Team, Korea Railroad Research Institute)
Son, Seung Wan (Infrastructure Safety Team, Korea Railroad Research Institute)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.22, no.5, 2021 , pp. 128-135 More about this Journal
Abstract
Thin-walled tubes have been widely used as energy absorbing devices because they are light and have high energy-absorption efficiency. However, the downside is that conventional thin-walled tubes usually exhibit an excessive initial peak crushing force (IPCF) and a large fluctuation in the load-displacement curve, and thus lack stability as energy absorbing devices. Corrugated tubes were introduced to reduce IPCF and to increase the stability of collision energy-absorbing devices. Since the performance of corrugated tubes is highly influence by geometry, design optimization methods can be utilized to optimize the performance of corrugated tubes. In this paper, we utilize shape design optimization based on an adaptive surrogate model for crashworthiness analysis. The amplitude and wavelength of the corrugation, as well as curvature changes in the features, are the design variables. A morphing methodology is adopted to perform shape design parameterization. Through numerical examples, we compare optimal design results based on the adaptive surrogate model, with optimal results based on conventional surrogate models, and we show that direct optimal design methods produce more efficient results.
Keywords
Adaptive Surrogate Model; Axial Impact; Corrugated Tubes; Crashworthiness; Energy Absorption; Morphing; Shape Design Optimization;
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