Advance prediction of collapse for TBM tunneling using deep learning method
Author:
Publisher
Elsevier BV
Subject
Geology,Geotechnical Engineering and Engineering Geology
Reference27 articles.
1. Learning long-term dependencies with gradient descent is difficult;Bengio;IEEE Trans. Neural Netw.,1994
2. Exploration ahead of a tunnel face by TSWD- tunnel seismic while drilling;Bruckl;Geomech. Tunn.,2008
3. Study on key techniques for shield tunnel passing under metro tunnel closely in launching phase;Chen,2014
4. Diagnosing tunnel collapse sections based on TBM tunneling big data and deep learning: a case study on the Yinsong Project, China;Chen;Tunn. Undergr. Space Technol.,2020
5. Post-failure behavior of tunnel heading collapse by MPM simulation;Cheng;SCIENCE CHINA Technol. Sci.,2015
Cited by 31 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. Multi-output prediction for TBM operation parameters based on stacking ensemble algorithm;Tunnelling and Underground Space Technology;2024-10
2. Physics-informed and data-driven machine learning of rock mass classification using prior geological knowledge and TBM operational data;Tunnelling and Underground Space Technology;2024-10
3. Real-time unsupervised monitoring of earth pressure balance shield-induced sinkholes in mixed-face ground conditions via convolutional variational autoencoders;Tunnelling and Underground Space Technology;2024-10
4. Seismic performance prediction of a slope-pile-anchor coupled reinforcement system using recurrent neural networks;Engineering Geology;2024-08
5. Displacement and pressure of surrounding rock during shield tunnelling and supporting in low water content loess;Engineering Geology;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