دورية أكاديمية
Internal force analysis of beams on elastic foundation using differential evolutionary optimization algorithm based on hybrid mutation technique
| العنوان: | Internal force analysis of beams on elastic foundation using differential evolutionary optimization algorithm based on hybrid mutation technique |
|---|---|
| المؤلفون: | Le Cong Duy, Nguyen Quang Hoa, Nguyen Thi Van Loan |
| المصدر: | Tạp chí Khoa học và Công nghệ, Pp 22-28 (2023) |
| بيانات النشر: | The University of Danang, 2023. |
| سنة النشر: | 2023 |
| المجموعة: | LCC:Technology |
| مصطلحات موضوعية: | interval numbers, interval function, finite element method, displacement output, hybrid differential evolutionary, Technology |
| الوصف: | The paper presents the Finite element method (FEM) that calculates the internal force and the displacement of beams on elastic foundation in the case of the uncertainty input parameters described in terms of the number intervals. Using the interval function optimization algorithm combined with the FEM to determine the internal force values of the span reinforced concrete beam structure. This study applies the hybrid differential evolutionary optimization algorithm combined with FEM interval functions to determine the required internal force results of reinforced concrete beams placed on an elastic foundation. The calculation process is programmed using Maple.17 software to determine the displacement output and the resulting internal force in the beam. To check the correctness of the program calculated on Maple.17, the input declared dataset corresponds to the central values of the interval numbers and is recalculated by SAP2000v21 software, then evaluates the results error of internal force on the beam under consideration. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English Vietnamese |
| تدمد: | 1859-1531 |
| Relation: | https://jst-ud.vn/jst-ud/article/view/8461; https://doaj.org/toc/1859-1531 |
| DOI: | 10.31130/ud-jst.2023.180E |
| URL الوصول: | https://doaj.org/article/697fa1a323cc446f8bb60787c668df7c |
| رقم الأكسشن: | edsdoj.697fa1a323cc446f8bb60787c668df7c |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 18591531 |
|---|---|
| DOI: | 10.31130/ud-jst.2023.180E |