MPG.eBooks - Description: Analytical, Numerical and Big-Data-Based Methods in Deep Rock Mechanics

Read Now

Analytical, Numerical and Big-Data-Based Methods in Deep Rock Mechanics

With the increasing requirements for energy, resources, and space, numerous rock engineering projects (e.g., mining, tunnelling, underground storage, and geothermal and petroleum engineering) are more often being constructed and operated in large-scale, deep underground, and complex geology environm...

Full description

Bibliographic Details
Main Author:	Wang, Shaofeng
Other Authors:	Cai, Xin, Zhou, Jian, Song, Zhengyang
Format:	eBook
Language:	English
Published:	Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
Subjects:	Polymer Strength Reduction Regression Analysis Genetic Algorithm Diffusion Model Temperature Effect Expansion Ratio Chemical-stress Coupling Factor Deep Rock Mechanics Acoustic Emission Orthogonal Test Method Damage Constitutive Model History Of Engineering & Technology / Bicssc Temperature Difference Mind Evolutionary Algorithm Complex Variable Method Unsupervised Learning Fractured Rock Mass Grouting Amount Technology: General Issues / Bicssc Rf Rockburst Prediction Backfilled Stopes Mine Slope Reliability Ga-svm Bayesian Optimization Fault Slide–pipeline Interaction Mechanical And Damage Behaviors Beetle Antennae Search Algorithm Failure Modes Water Inrush Variable Weight Theory Lithology Mechanical Behavior Temperature Gradient Crack Fractured Aquifer Uranium-containing Solution Matter–element Extension Submarine Pipelines Ucs Prediction Model Deep Forest Energy Dissipation Features Grouting Effect T-sne Rock Drillability Heat-concentrated Source Supervised Learning Zonal Disintegration Grout Diffusion Model Slurry Diffusion Distance Random Forest Mining Disturbance Mea-bp Model N/a Coal Soil-pile Interface True Triaxial Compression Test Jointed Rock Mass Bp Neural Network Strain Rate Submarine Slides High Concrete Face Rockfill Dam Mining Advancing Direction Generalized Probability Density Evolution Method Rock Damage Judgment Criteria Reactive Transport Blind Shaft Cutting Blasting Parameter Optimization Triangle Interpolation Reliability Analysis Rock Burst P–y Curve B Value Deterioration Characteristics Multifield Coupling Xgboost Brittle-ductile Transition Stress Analytical Solution Optimization Of Heat Source Location Drucker–prager Model Numerical Simulation Extremum Entropy Grade Variable Stress Redistribution Seismic Performance Stress Evolution Dem Numerical Simulation Data-driven Approach Sph Numerical Methods Smooth Wall Blasting Deep Mining Rock Mechanical Parameters Concrete Part Geosynthetic-reinforced Soil Structures Mechanical Properties Conformal Mapping Copula Function Dpm Parameters Bingham Slurry Stability Classification Of Rock Mass Rockburst Classification Rough-walled Fracture Ensemble Model Laterally Loaded Pile Closed-form Solution
Online Access:	https://directory.doabooks.org/handle/20.500.12854... https://www.mdpi.com/books/book/6566
Collection:	Directory of Open Access Books - Collection details see MPG.ReNa

Description
Summary:	With the increasing requirements for energy, resources, and space, numerous rock engineering projects (e.g., mining, tunnelling, underground storage, and geothermal and petroleum engineering) are more often being constructed and operated in large-scale, deep underground, and complex geology environments. Meanwhile, more and more unconventional rock failures and rock instabilities (e.g., rockbursts, large-scale collapses, and mine earthquakes) are occurring and severely threatening the safety of underground operations. It is well-recognized that rocks have multiscale structures from minerals, particles, fractures, fissures, joints, and stratification to faults and involve multiscale fracture processes. In the deep earth, rocks are commonly subjected to complex high-stress and strong-dynamic disturbances simultaneously. In addition, there are many multiphysics coupling processes, such as the coupled thermo-hydromechanical interaction in fractured porous rocks. It is still difficult to understand rock mechanics and to characterize rock behaviors with complex stress conditions, multiphysics processes, and multiscale changes. The primary aim of this Special Issue is to bring together original research discussing innovative efforts on analytical, numerical, and big-data-based methods in rock mechanics. It includes 25 manuscripts that illustrate the richness and challenging nature of deep rock mechanics.
Item Description:	Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
Physical Description:	1 electronic resource (432 p.)
ISBN:	books978-3-0365-5762-5 9783036557625 9783036557618

Analytical, Numerical and Big-Data-Based Methods in Deep Rock Mechanics

Similar Items