A Deep Artificial Neural Network Model for Predicting the Mechanical Behavior of Triply Periodic Minimal Surfaces under Damage Loading

IF 3.3 3区工程技术 Q1 ENGINEERING, MECHANICAL

Journal of Engineering Mechanics Pub Date : 2024-07-01 DOI:10.1061/jenmdt.emeng-7511

N. Van Viet, W. Waheed, Anas Alazzam, Wael Zaki

引用次数: 0

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用于预测损伤载荷下三周期极小表面力学行为的深度人工神经网络模型

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 Engineering Mechanics 工程技术-工程：机械

CiteScore

6.30

自引率

6.10%

发文量

142

审稿时长

6 months

期刊介绍： The Journal of Engineering Mechanics covers activity and development in the field of applied mechanics as it relates to civil engineering. Research on bioengineering, computational mechanics, computer-aided engineering, dynamics of structures, elasticity, experimental analysis and instrumentation, fluid mechanics, flow of granular media, inelastic behavior of solids and structures, probabilistic methods, properties of materials, fracture mechanics, stability of structural elements and systems, and turbulence is reported. Typically, published papers describe the development and implementation of new analytical models, innovative numerical methods, and novel experimental methods and results.