کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6961620 1452103 2017 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Performance of global metamodeling techniques in solution of structural reliability problems
ترجمه فارسی عنوان
عملکرد تکنیک های متاموالسیون جهانی در حل مشکلات مربوط به قابلیت اطمینان ساختاری
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزار
چکیده انگلیسی
Solution of structural reliability and uncertainty propagation problems can be a computationally intensive task, since complex mechanical models have to be solved thousands or millions of times. In this context, surrogate models can be employed in order to reduce the computational burden. This article compares the performance of three global surrogate modeling techniques in the solution of structural reliability problems. The paper addresses artificial neural networks, polynomial chaos expansions and Kriging metamodeling. Analytical and numerical problems of increasingly complexity are addressed, including an eight-hundred bar, 3D steel lattice tower. Implementation strategies concerning data mapping and optimization of Kriging hyper parameters are proposed and discussed. Advantages and limitations of each technique are addressed. Results show that the three techniques explored herein are reliable tools for approximating the response of complex mechanical models.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Advances in Engineering Software - Volume 114, December 2017, Pages 394-404
نویسندگان
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