Advances in Numerical Computation and Mathematical Modelling for Geotechnical Engineering
The field of geotechnical engineering is experiencing a transformative period driven by the increasing complexity of in situ projects and the need for operations in challenging geological environments. As engineering activities extend into deeper strata and more complex geological conditions, practi...
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| Format: | Online |
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| Jezik: | engleski |
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MDPI - Multidisciplinary Digital Publishing Institute
2026
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| Online pristup: | ONIX_20260416T142754_9783725860159_26 |
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| _version_ | 1869518549937029120 |
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| collection | Directory of Open Access Books |
| description | The field of geotechnical engineering is experiencing a transformative period driven by the increasing complexity of in situ projects and the need for operations in challenging geological environments. As engineering activities extend into deeper strata and more complex geological conditions, practitioners face unprecedented challenges, including groundwater seepage control, dynamic rock mass failure analysis, geothermal effects on rock stability, and microseismic monitoring. These multifaceted problems demand sophisticated numerical computation, mathematical modeling, and engineering monitoring methodologies that can provide reliable solutions for analysis, evaluation, and design processes. The collection focuses on the development and application of cutting-edge numerical computation and modeling methods for geotechnical monitoring, analysis, and theoretical prediction. By assembling high-quality original research papers, comprehensive case studies, and innovative methodological contributions, this issue aims to bridge the gap between fundamental mathematical theories and practical computer-based applications in geotechnical engineering. |
| format | Online |
| id | doab-20.500.12854ir-175121 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2026 |
| publishDateRange | 2026 |
| publishDateSort | 2026 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1751212026-04-16T19:02:51Z Advances in Numerical Computation and Mathematical Modelling for Geotechnical Engineering Qiu, Jiadong Zhou, Changtai Rui, Yichao Feng, Fan High-pressure gas expansion Dynamite blasting Peak particle velocity Rock breaking Tunnel excavation Cavity Cross-sectional shape Blasting load Failure mode Fragment size distribution Gob-side entry Combined components of anchor bolt and anchor cable support Stability of roadway Deep soft coal seam Numerical simulation Granite Crystalline structure Deformation and fracture process 3D equivalent mineral crystal model Force chain network analysis Repeated mining Crack evolution Shear slip Slope instability Salt cavern Mudstone interlayer FLAC3D Simulation Surrounding rock Design parameters of supporting structure Energy evolution Machine learning Hypoplasticity constitutive model Sand–structure contact surface Initial anisotropy Roughness Blasting fragmentation prediction Stacking integrated strategy Random forest XGBoost HSS model Indoor testing Tunnel engineering Loess Optimization of retained walls Pillar stability Room and pillar mining Mine backfill effects CSUH model Dynamic step size Flexibility matrix Incremental relationship Soil mechanical properties Rock discontinuity Different joint wall strength Shear property Failure mechanism Shear dilation Slope stability Grey correlation Validity coefficient Reliability coefficient Loess slope N A thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBC Engineering: general The field of geotechnical engineering is experiencing a transformative period driven by the increasing complexity of in situ projects and the need for operations in challenging geological environments. As engineering activities extend into deeper strata and more complex geological conditions, practitioners face unprecedented challenges, including groundwater seepage control, dynamic rock mass failure analysis, geothermal effects on rock stability, and microseismic monitoring. These multifaceted problems demand sophisticated numerical computation, mathematical modeling, and engineering monitoring methodologies that can provide reliable solutions for analysis, evaluation, and design processes. The collection focuses on the development and application of cutting-edge numerical computation and modeling methods for geotechnical monitoring, analysis, and theoretical prediction. By assembling high-quality original research papers, comprehensive case studies, and innovative methodological contributions, this issue aims to bridge the gap between fundamental mathematical theories and practical computer-based applications in geotechnical engineering. 2026-04-16T19:02:44Z 2026-04-16T19:02:44Z 2025 book ONIX_20260416T142754_9783725860159_26 9783725860159 9783725860166 https://directory.doabooks.org/handle/20.500.12854/175121 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/ https://mdpi.com/books/pdfview/book/12026 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-6016-6 10.3390/books978-3-7258-6016-6 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725860159 9783725860166 308 CH open access |
| spellingShingle | High-pressure gas expansion Dynamite blasting Peak particle velocity Rock breaking Tunnel excavation Cavity Cross-sectional shape Blasting load Failure mode Fragment size distribution Gob-side entry Combined components of anchor bolt and anchor cable support Stability of roadway Deep soft coal seam Numerical simulation Granite Crystalline structure Deformation and fracture process 3D equivalent mineral crystal model Force chain network analysis Repeated mining Crack evolution Shear slip Slope instability Salt cavern Mudstone interlayer FLAC3D Simulation Surrounding rock Design parameters of supporting structure Energy evolution Machine learning Hypoplasticity constitutive model Sand–structure contact surface Initial anisotropy Roughness Blasting fragmentation prediction Stacking integrated strategy Random forest XGBoost HSS model Indoor testing Tunnel engineering Loess Optimization of retained walls Pillar stability Room and pillar mining Mine backfill effects CSUH model Dynamic step size Flexibility matrix Incremental relationship Soil mechanical properties Rock discontinuity Different joint wall strength Shear property Failure mechanism Shear dilation Slope stability Grey correlation Validity coefficient Reliability coefficient Loess slope N A thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBC Engineering: general Advances in Numerical Computation and Mathematical Modelling for Geotechnical Engineering |
| title | Advances in Numerical Computation and Mathematical Modelling for Geotechnical Engineering |
| title_full | Advances in Numerical Computation and Mathematical Modelling for Geotechnical Engineering |
| title_fullStr | Advances in Numerical Computation and Mathematical Modelling for Geotechnical Engineering |
| title_full_unstemmed | Advances in Numerical Computation and Mathematical Modelling for Geotechnical Engineering |
| title_short | Advances in Numerical Computation and Mathematical Modelling for Geotechnical Engineering |
| title_sort | advances in numerical computation and mathematical modelling for geotechnical engineering |
| topic | High-pressure gas expansion Dynamite blasting Peak particle velocity Rock breaking Tunnel excavation Cavity Cross-sectional shape Blasting load Failure mode Fragment size distribution Gob-side entry Combined components of anchor bolt and anchor cable support Stability of roadway Deep soft coal seam Numerical simulation Granite Crystalline structure Deformation and fracture process 3D equivalent mineral crystal model Force chain network analysis Repeated mining Crack evolution Shear slip Slope instability Salt cavern Mudstone interlayer FLAC3D Simulation Surrounding rock Design parameters of supporting structure Energy evolution Machine learning Hypoplasticity constitutive model Sand–structure contact surface Initial anisotropy Roughness Blasting fragmentation prediction Stacking integrated strategy Random forest XGBoost HSS model Indoor testing Tunnel engineering Loess Optimization of retained walls Pillar stability Room and pillar mining Mine backfill effects CSUH model Dynamic step size Flexibility matrix Incremental relationship Soil mechanical properties Rock discontinuity Different joint wall strength Shear property Failure mechanism Shear dilation Slope stability Grey correlation Validity coefficient Reliability coefficient Loess slope N A thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBC Engineering: general |
| topic_facet | High-pressure gas expansion Dynamite blasting Peak particle velocity Rock breaking Tunnel excavation Cavity Cross-sectional shape Blasting load Failure mode Fragment size distribution Gob-side entry Combined components of anchor bolt and anchor cable support Stability of roadway Deep soft coal seam Numerical simulation Granite Crystalline structure Deformation and fracture process 3D equivalent mineral crystal model Force chain network analysis Repeated mining Crack evolution Shear slip Slope instability Salt cavern Mudstone interlayer FLAC3D Simulation Surrounding rock Design parameters of supporting structure Energy evolution Machine learning Hypoplasticity constitutive model Sand–structure contact surface Initial anisotropy Roughness Blasting fragmentation prediction Stacking integrated strategy Random forest XGBoost HSS model Indoor testing Tunnel engineering Loess Optimization of retained walls Pillar stability Room and pillar mining Mine backfill effects CSUH model Dynamic step size Flexibility matrix Incremental relationship Soil mechanical properties Rock discontinuity Different joint wall strength Shear property Failure mechanism Shear dilation Slope stability Grey correlation Validity coefficient Reliability coefficient Loess slope N A thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBC Engineering: general |
| url | ONIX_20260416T142754_9783725860159_26 |