A Deep Artificial Neural Network Model for Predicting the Mechanical Behavior of Triply Periodic Minimal Surfaces under Damage Loading-Reference-Cited by-同舟云学术

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

Published:2024-07 Issue:7 Volume:150 Page:
ISSN:0733-9399
Container-title:Journal of Engineering Mechanics
language:en
Short-container-title:J. Eng. Mech.

Author:

Van Viet Nguyen¹,Waheed Waqas²,Alazzam Anas³^ORCID,Zaki Wael⁴^ORCID

Affiliation:

1. Research Scientist, Advanced Digital and Additive Manufacturing Center, Dept. of Mechanical Engineering, Khalifa Univ. of Science and Technology, Main Campus, P.O. Box 127788, Abu Dhabi, United Arab Emirates.

2. Research Engineer, Dept. of Mechanical Engineering, Khalifa Univ. of Science and Technology, Main Campus, P.O. Box 127788, Abu Dhabi, United Arab Emirates.

3. Associate Professor, Dept. of Mechanical Engineering, Khalifa Univ. of Science and Technology, Main Campus, P.O. Box 127788, Abu Dhabi, United Arab Emirates. ORCID: .

4. Professor, Advanced Digital and Additive Manufacturing Center, Dept. of Mechanical Engineering, Khalifa Univ. of Science and Technology, Main Campus, P.O. Box 127788, Abu Dhabi, United Arab Emirates (corresponding author). ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Link

https://ascelibrary.org/doi/pdf/10.1061/JENMDT.EMENG-7511

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4. Determination of the Neutral Temperature of Slender Beams by Using Nonlinear Solitary Waves

5. Thermodynamically consistent Recurrent Neural Networks to predict non linear behaviors of dissipative materials subjected to non-proportional loading paths