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Discrete Element and Artificial Intelligence Modeling of Rock Properties and Formation Failure in Advance of Shovel Excavation

机译：铲斗开挖前岩石性能和地层故障的离散元素和人工智能建模

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作者
Waqas, Muhammad.;
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作者单位

Missouri University of Science and Technology.;

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授予单位 Missouri University of Science and Technology.;
学科
学位 Ph.D.
年度 2018
页码 273 p.
总页数 273
原文格式 PDF
正文语种 eng
中图分类 AAI10931446;
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1. Physical modeling of deformation failure mechanism of surrounding rocks for the deep-buried tunnel in soft rock strata during the excavation [J] . Sun Xiaoming, Chen Feng, Miao Chengyu, Tunnelling and underground space technology . 2018,第APRa期

机译：软岩地层深埋隧道开挖过程中围岩变形破坏机理的物理模拟
2. Advances in discrete element modelling of underground excavations [J] . Carlos Labra, Jerzy Rojek, Eugenio Onate, Acta Geotechnica: An International journal for Geoengineering . 2008,第4期

机译：地下工程离散元建模研究进展
3. Advances in discrete element modelling of underground excavations [J] . Carlos Labra, Jerzy Rojek, Eugenio O?ate, Acta Geotechnica . 2008,第4期

机译：地下工程离散元建模研究进展
4. A New Approach to Predict Failure Parameters of Carbonate Rocks using Artificial Intelligence Tools [C] . Zeeshan Tariq, Salaheldin Elkatatny, Mohammed Mahmoud SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition . 2017

机译：一种新方法，可以使用人工智能工具预测碳酸盐岩失效参数
5. Cable shovel dipper stress and fatigue failure modeling in formation excavation engineering. [D] . Raza, Muhammad Azeem. 2016

机译：地层开挖工程中的铲铲铲斗应力和疲劳破坏建模。
6. Heuristic Analysis Model of Nitrided Layers’ Formation Consisting of the Image Processing and Analysis and Elements of Artificial Intelligence [O] . Tomasz Wójcicki, Michał Nowicki 2016

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7. An Energy-Based Discrete Element Modeling Method Coupled with Time-Series Analysis for Investigating Deformations and Failures of Jointed Rock Slopes [O] . Xiaona Zhang, Gang Mei, Ning Xi, 2021

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Discrete Element and Artificial Intelligence Modeling of Rock Properties and Formation Failure in Advance of Shovel Excavation

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