AT-PINN: Advanced time-marching physics-informed neural network for structural vibration analysis
Author:
Publisher
Elsevier BV
Subject
Mechanical Engineering,Building and Construction,Civil and Structural Engineering
Reference64 articles.
1. Scientific machine learning through physics-informed neural networks: where we are and what's next;Cuomo;J. Sci. Comput.,2022
2. Physics-informed machine learning;Karniadakis;Nat. Rev. Phys.,2021
3. Hidden physics models: machine learning of nonlinear partial differential equations;Raissi;J. Comput. Phys.,2018
4. Deep learning for fast simulation of seismic waves in complex media;Moseley;Solid Earth,2020
5. Learning mechanically driven emergent behavior with message passing neural networks;Prachaseree;Comput. Struct.,2022
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. E-PINN: A fast physics-informed neural network based on explicit time-domain method for dynamic response prediction of nonlinear structures;Engineering Structures;2024-12
2. Predicting delamination in composite laminates through semi-analytical dynamic analysis and vibration-based quantitative assessment;Thin-Walled Structures;2024-11
3. Exact enforcement of temporal continuity in sequential physics-informed neural networks;Computer Methods in Applied Mechanics and Engineering;2024-10
4. Utilizing optimal physics-informed neural networks for dynamical analysis of nanocomposite one-variable edge plates;Thin-Walled Structures;2024-09
5. A data-physic driven method for gear fault diagnosis using PINN and pseudo-dynamic features;Measurement;2024-08
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3