کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6774021 | 1431951 | 2018 | 17 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
An innovative adaptive sparse response surface method for structural reliability analysis
ترجمه فارسی عنوان
یک روش سطحی سطح پاسخ واکنشی نوآورانه سازگار برای تجزیه و تحلیل قابلیت اطمینان ساختاری
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کلمات کلیدی
قابلیت اطمینان ساختاری سطح پاسخ، متامودل، احتمال شکست کوچک، فاصله اطمینان،
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مهندسی عمران و سازه
چکیده انگلیسی
In the scope of infrastructure risk assessment, structural reliability analysis leads to a challenging problem in order to deal with conflicting objectives: accurate estimation of failure probabilities and computational efficiency. Since the application of classical reliability methods is limited and often leads to a prohibitive computational cost, metamodeling techniques (e.g. polynomial chaos, kriging, response surface methods (RSM), etc.) have been widely used. Nevertheless, existing RSM present limitations handling with highly non-linear limit states, large-scale problems and approximation error. To overcome these problems, this paper describes a cutting-edge response surface algorithm covering the following issues: (i) dimensionality reduction by a variable screening procedure; (ii) definition of a promising search domain; (iii) initial experimental design based on an optimized space-filling scheme; (iv) model selection according to a stepwise regression procedure; (v) model validation by a cross-validation approach; (vi) model fitting using a double weighted regression technique; (vii) sequential sampling scheme by exploring a defined region of interest; (viii) confidence interval of reliability estimates based on a bootstrapping technique. With the aim of proving its efficiency, a wide collection of six illustration examples, concerning both analytical and FE-based problems, was selected. By benchmarking obtained results with literature findings, proposed method not only outperforms existing RSM, but also provides a powerful alternative to the use of other metamodeling techniques.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Structural Safety - Volume 73, July 2018, Pages 12-28
Journal: Structural Safety - Volume 73, July 2018, Pages 12-28
نویسندگان
Hugo Guimarães, José C. Matos, António A. Henriques,