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Stress Field Prediction in Cantilevered Structures Using Convolutional Neural Networks

27 August 2018

Zhenguo Nie

Haoliang Jiang

Levent Burak Kara

ArXiv (abs)PDF HTML Github (32★)

Papers citing "Stress Field Prediction in Cantilevered Structures Using Convolutional Neural Networks"

31 / 31 papers shown

Title
$A spatiotemporal deep learning framework for prediction of crack dynamics in heterogeneous solids: efficient mapping of concrete microstructures to its fracture properties$ A spatiotemporal deep learning framework for prediction of crack dynamics in heterogeneous solids: efficient mapping of concrete microstructures to its fracture properties Rasoul Najafi Koopas Shahed Rezaei N. Rauter Richard Ostwald R. Lammering AI4CE 107 3 0 22 Jul 2024
A review of graph neural network applications in mechanics-related domains Yingxue Zhao Haoran Li Haosu Zhou H. Attar Tobias Pfaff Nan Li AI4CE 138 9 0 10 Jul 2024
Bayesian neural networks for predicting uncertainty in full-field material response G. Pasparakis Lori Graham-Brady Michael D. Shields AI4CE 88 4 0 21 Jun 2024
VIRL: Volume-Informed Representation Learning towards Few-shot Manufacturability Estimation Yu-hsuan Chen Jonathan Cagan Levent Burak Kara 87 2 0 18 Jun 2024
Deep Learning in Deterministic Computational Mechanics L. Herrmann Stefan Kollmannsberger AI4CE PINN 118 0 0 27 Sep 2023
Weighted Unsupervised Domain Adaptation Considering Geometry Features and Engineering Performance of 3D Design Data S. Shin Namwoo Kang OOD AI4CE 88 2 0 08 Sep 2023
Deep Learning-based Prediction of Stress and Strain Maps in Arterial Walls for Improved Cardiovascular Risk Assessment Yasin Shokrollahi Pengfei Dong Xianqi Li Linxia Gu MedIm 29 3 0 03 Aug 2023
Variational operator learning: A unified paradigm marrying training neural operators and solving partial differential equations Tengfei Xu Dachuan Liu Peng Hao Bo Wang 103 7 0 09 Apr 2023
Adapting U-Net for linear elastic stress estimation in polycrystal Zr microstructures J. D. Langcaster D. Balint M. Wenman 38 1 0 15 Mar 2023
IC classifier: a classifier for 3D industrial components based on geometric prior using GNN Zipeng Lin Zhenguo Nie 67 0 0 10 Mar 2023
Image-based Artificial Intelligence empowered surrogate model and shape morpher for real-time blank shape optimisation in the hot stamping process Hao Zhou Nan Li AI4CE 71 1 0 01 Dec 2022
Physics Informed Neural Network for Dynamic Stress Prediction H. Bolandi Gautam Sreekumar Xuyang Li N. Lajnef Vishnu Boddeti AI4CE 56 23 0 28 Nov 2022
Physics-Guided, Physics-Informed, and Physics-Encoded Neural Networks in Scientific Computing Salah A. Faroughi N. Pawar C. Fernandes Maziar Raissi Subasish Das N. Kalantari S. K. Mahjour PINN AI4CE 75 52 0 14 Nov 2022
Spiking neural networks for nonlinear regression Alexander Henkes Jason K. Eshraghian Henning Wessels 108 29 0 06 Oct 2022
Wheel Impact Test by Deep Learning: Prediction of Location and Magnitude of Maximum Stress S. Shin Ah-hyeon Jin Soyoung Yoo Sunghee Lee Chang-Gone Kim S. Heo Namwoo Kang 90 12 0 03 Oct 2022
An Adaptive and Scalable ANN-based Model-Order-Reduction Method for Large-Scale TO Designs Renkai Tan Chaojun Qian Dan Xu Wenjing Ye AI4CE 40 2 0 20 Mar 2022
Development of a deep learning platform for optimising sheet stamping geometries subject to manufacturing constraints H. Attar A. Foster Nan Li 75 3 0 04 Feb 2022
A heteroencoder architecture for prediction of failure locations in porous metals using variational inference Wyatt Bridgman Xiaoxuan Zhang G. Teichert M. Khalil K. Garikipati Reese E. Jones UQCV AI4CE 72 5 0 31 Jan 2022
PATO: Producibility-Aware Topology Optimization using Deep Learning for Metal Additive Manufacturing Naresh S. Iyer Amir M. Mirzendehdel S. Raghavan Yang Jiao Erva Ulu M. Behandish S. Nelaturi D. Robinson AI4CE 52 10 0 08 Dec 2021
Stress field prediction in fiber-reinforced composite materials using a deep learning approach Anindya Bhaduri Ashwini Gupta L. Graham‐Brady AI4CE 98 128 0 01 Nov 2021
Deep Generative Models in Engineering Design: A Review Lyle Regenwetter Amin Heyrani Nobari Faez Ahmed 3DV AI4CE 136 192 0 21 Oct 2021
An Extensible Benchmark Suite for Learning to Simulate Physical Systems Karl Otness Arvi Gjoka Joan Bruna Daniele Panozzo Benjamin Peherstorfer T. Schneider Denis Zorin 103 23 0 09 Aug 2021
A Bayesian multiscale CNN framework to predict local stress fields in structures with microscale features Vasilis Krokos V. Bui Xuan Stéphane P. A. Bordas P. Young P. Kerfriden 72 55 0 17 Dec 2020
StressNet: Deep Learning to Predict Stress With Fracture Propagation in Brittle Materials Yinan Wang Diane Oyen Weihong Guo A. Mehta Cory Braker Scott N. Panda M. G. Fernández-Godino G. Srinivasan Xiaowei Yue AI4CE 61 32 0 20 Nov 2020
Predicting Mechanical Properties from Microstructure Images in Fiber-reinforced Polymers using Convolutional Neural Networks Yixuan Sun I. Hanhan M. Sangid Guang Lin AI4CE 75 15 0 07 Oct 2020
A study on using image based machine learning methods to develop the surrogate models of stamp forming simulations Hao Zhou Qingfeng Xu Nan Li AI4CE 50 18 0 30 Sep 2020
SimuLearn: Fast and Accurate Simulator to Support Morphing Materials Design and Workflows Humphrey Yang Kuanren Qian Haolin Liu Yuxuan Yu Jianzhe Gu Matthew McGehee Y. Zhang Lining Yao AI4CE 46 20 0 29 Jul 2020
Deep Generative Modeling for Mechanistic-based Learning and Design of Metamaterial Systems Liwei Wang Yu-Chin Chan Faez Ahmed Zhao Liu Ping Zhu Wei Chen AI4CE 71 226 0 27 Jun 2020
Integrating Deep Learning into CAD/CAE System: Generative Design and Evaluation of 3D Conceptual Wheel Soyoung Yoo Sunghee Lee Seongsin Kim Kwang Hyeon Hwang Jong Ho Park Namwoo Kang AI4CE 59 110 0 25 May 2020
Learning Composable Energy Surrogates for PDE Order Reduction Alex Beatson Jordan T. Ash Geoffrey Roeder Tianju Xue Ryan P. Adams AI4CE 66 15 0 13 May 2020
TopologyGAN: Topology Optimization Using Generative Adversarial Networks Based on Physical Fields Over the Initial Domain Zhenguo Nie Tong Lin Haoliang Jiang Levent Burak Kara AI4CE 161 174 0 05 Mar 2020