An intelligent computational iBCMO-DNN algorithm for stochastic thermal buckling analysis of functionally graded porous microplates using modified strain gradient theory

IF 2.6 3区工程技术 Q2 MECHANICS

Journal of Thermal Stresses Pub Date : 2024-07-08 DOI:10.1080/01495739.2024.2368054

Van-Thien Tran, Trung-Kien Nguyen, H. Nguyen-Xuan

引用次数: 0

Abstract

The authors propose an intelligent computational method using the deep feedforward neural network integrated with an improved balance composite motion optimization algorithm to formulate a so-calle...

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利用修正应变梯度理论对功能分级多孔微板进行随机热屈曲分析的智能计算 iBCMO-DNN 算法

作者提出了一种智能计算方法，即利用深度前馈神经网络与改进的平衡复合运动优化算法相结合，制定出一种可...

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Thermal Stresses 工程技术-力学

CiteScore

5.20

自引率

7.10%

发文量

审稿时长

3 months

期刊介绍： The first international journal devoted exclusively to the subject, Journal of Thermal Stresses publishes refereed articles on the theoretical and industrial applications of thermal stresses. Intended as a forum for those engaged in analytic as well as experimental research, this monthly journal includes papers on mathematical and practical applications. Emphasis is placed on new developments in thermoelasticity, thermoplasticity, and theory and applications of thermal stresses. Papers on experimental methods and on numerical methods, including finite element methods, are also published.