کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
385472 660866 2015 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Discrete robust optimization algorithm based on Taguchi method for structural crashworthiness design
ترجمه فارسی عنوان
الگوریتم بهینه سازی دیجیتالی قوی براساس روش تاگوچی برای طراحی شکستگی ساختاری
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی


• The FE models of TWB structures were modeled and experimental validation.
• A novel discrete robust optimization algorithm was firstly presented.
• Robust optimization design for TWB structures was conducted.
• Compare the results of robust optimization with deterministic optimization.

Hybrid steel–aluminum tailor welded structures have drawn considerable attention and been widely applied in automotive and aerospace industries for their significant advantages in high strength to weight ratios and superior energy absorption characteristics. Structural optimization is considered to be one of the most important means to improve the crashworthiness of tailor welded structures. However, majority of the existing optimization studies to data have not considered uncertainties for simplication. Its associated risk is that a deterministic optimization might deteriorate its optimality and/or violate design constraints when being present in uncertain environment. This study aimed to explore how to maximize the crashworthiness of the hybrid tailor welded structures involving uncertainties. For this purpose, a novel robust optimization algorithm based on successive Taguchi approach for design in discrete space is firstly presented. In the optimization process, the peak force is taken as an objective, while specific energy absorption (SEA) as a constraint. The optimal results show that not only the performance of peak force and specific energy absorption is improved, but also the robustness of these two indicators is also significantly enhanced. The proposed algorithm can also be used to solve other more complicated engineering problems.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 42, Issue 9, 1 June 2015, Pages 4482–4492
نویسندگان
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