Geotechnical Modeling and Intelligent Systems

This open access book provides insights into research topics related to geotechnical engineering simulations. With the development of computing power and artificial intelligence, research methods in geotechnical engineering are gradually shifting from field surveys and physical experiments toward si...

Full description

Saved in:
Bibliographic Details
Format: eBook
Language:English
Published: Singapore Springer Nature 2026
Series:Earth and Environmental Science; Earth and Environmental Science (R0)
Subjects:
Civil Engineering
Computational mechanics
Earth sciences
Earth Sciences, Geography, Environment, Planning
Geotechnical engineering
Geotechnical mechanics
Load analysis
Open Access
Simulation and algorithms
ISBN:9789819669240, 9789819669257, 9819669251, 9819669243
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Abstract This open access book provides insights into research topics related to geotechnical engineering simulations. With the development of computing power and artificial intelligence, research methods in geotechnical engineering are gradually shifting from field surveys and physical experiments toward simulation and prediction. Through simulations, it is possible to infer the impact of engineering structures on soil and rock masses, as well as their response to natural disasters such as earthquakes, landslides, and debris flows, allowing for early planning of mitigation measures. Inside, readers will find cutting-edge studies on microbial soil stabilization, finite element simulations, centrifuge modeling, and machine learning applications. Topics include advanced material characterization, predictive modeling of tunnels and slopes, AI-enhanced monitoring systems, and risk mitigation strategies for deep excavations and mining subsidence. These contributions illustrate how intelligent systems are optimizing both design and safety across a wide range of geotechnical scenarios. This volume is an essential resource for researchers, engineers, and graduate students seeking to leverage intelligent technologies for more efficient, accurate, and resilient geotechnical solutions. With its integration of theory, experimentation, and smart modeling, it offers a forward-looking perspective on the future of infrastructure in a rapidly evolving technological landscape.
AbstractList This open access book provides insights into research topics related to geotechnical engineering simulations. With the development of computing power and artificial intelligence, research methods in geotechnical engineering are gradually shifting from field surveys and physical experiments toward simulation and prediction. Through simulations, it is possible to infer the impact of engineering structures on soil and rock masses, as well as their response to natural disasters such as earthquakes, landslides, and debris flows, allowing for early planning of mitigation measures. Inside, readers will find cutting-edge studies on microbial soil stabilization, finite element simulations, centrifuge modeling, and machine learning applications. Topics include advanced material characterization, predictive modeling of tunnels and slopes, AI-enhanced monitoring systems, and risk mitigation strategies for deep excavations and mining subsidence. These contributions illustrate how intelligent systems are optimizing both design and safety across a wide range of geotechnical scenarios. This volume is an essential resource for researchers, engineers, and graduate students seeking to leverage intelligent technologies for more efficient, accurate, and resilient geotechnical solutions. With its integration of theory, experimentation, and smart modeling, it offers a forward-looking perspective on the future of infrastructure in a rapidly evolving technological landscape.
BookMark eNotzM1KAzEUBeCACmqdB3A3LxC9SSZ_G0GK1kLFheI2JJmbMTBNysxs-vZW6uocvgPnllyWWpCQewYPDEA_Wm2oNYxaRZXlkuoL0pzsRFadoINr0sxzDqCYFhqsvCF0g3XB-FNy9GP7XnsccxlaX_p2WxYcxzxgWdrP47zgfr4jV8mPMzb_uSLfry9f6ze6-9hs18876pk2RlIrggdpMQqdupBAJtt3UjBMlguuAoQYOQB26KXnPAiDSRrZ29SbYFMUK_J0Pq7-gMUdprz309FVn92Yw3Tuf0udBsfBSQDHuJLaMdBKSfELz5tQRg
ContentType eBook
DBID A7I
DOI 10.1007/978-981-96-6925-7
DatabaseName OAPEN
DatabaseTitleList
Database_xml – sequence: 1
  dbid: A7I
  name: OAPEN
  url: https://library.oapen.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
Editor Zhao, Gao-Feng
Editor_xml – sequence: 1
  fullname: Zhao, Gao-Feng
ExternalDocumentID oai_library_oapen_org_20_500_12657_107665
GroupedDBID A7I
AABBV
AALJR
AIQUZ
ALMA_UNASSIGNED_HOLDINGS
BBABE
CZZ
SBO
V1H
ID FETCH-LOGICAL-a17885-93ba059ec37f4bf05f9d4531ef92326b0bcc200e4ea5a22b38ef585d9fd8b9fc3
IEDL.DBID A7I
ISBN 9789819669240
9789819669257
9819669251
9819669243
IngestDate Mon Dec 01 21:16:22 EST 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed false
IsScholarly false
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-a17885-93ba059ec37f4bf05f9d4531ef92326b0bcc200e4ea5a22b38ef585d9fd8b9fc3
Notes Funded by: Guangzhou KEO Info Technology Co., Ltd.
OpenAccessLink https://library.oapen.org/handle/20.500.12657/107665
PageCount 435
ParticipantIDs oapen_primary_oai_library_oapen_org_20_500_12657_107665
PublicationCentury 2000
PublicationDate 2026
PublicationDateYYYYMMDD 2026-01-01
PublicationDate_xml – year: 2026
  text: 2026
PublicationDecade 2020
PublicationPlace Singapore
PublicationPlace_xml – name: Singapore
PublicationSeriesTitle Earth and Environmental Science; Earth and Environmental Science (R0)
PublicationYear 2026
Publisher Springer Nature
Publisher_xml – name: Springer Nature
SSID ssib061737095
Score 2.500716
Snippet This open access book provides insights into research topics related to geotechnical engineering simulations. With the development of computing power and...
SourceID oapen
SourceType Publisher
SubjectTerms Civil Engineering
Computational mechanics
Earth sciences
Earth Sciences, Geography, Environment, Planning
Geotechnical engineering
Geotechnical mechanics
Load analysis
Open Access
Simulation and algorithms
Title Geotechnical Modeling and Intelligent Systems
URI https://library.oapen.org/handle/20.500.12657/107665
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1NTwMhECXaevCkRo3Wj-zBKw0LCyxHY6x6aTwY0xsBFhIvW9Ou_n5nlrXWa49kQsKwTGYe7LxHyJ2WunE-SJqc0BTyNaNOcU8htpwxVahDGXqxCT2f14uFeR2awtZ_dxfTpQM037_kZ7YBAOlTyZAMQUlsFtdKyX0yVpwbhFz3egN6ICULDYVDZtcxkPGUApDB_o8livVtjGJrIMvfx8-BfxYM1CiKJqpRFwmXtpWEZke7Lf-YjCM2NJyQvdieEvoUl5m3FT5OgUpo2I9ewPTiZcPO2RUDkfkZeZ89vj0800EygboSwKykRngHFVMMQqfKJyaTaSqIs5igkuPKMx8CBEasopOOcy_qmAAxNCY1tTcpiHMyapdtvCAFC9xUtUGAKSqNNDZeelUm_CtRhkZdEt27aT8zL4ZFpuphA2y2wAZYzix4bnvPbfZ8svPMK3LIATXmO5BrMupWX_GGHITv7mO9uu3PwQ_1-ak_
linkProvider Open Access Publishing in European Networks
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=book&rft.title=Geotechnical+Modeling+and+Intelligent+Systems&rft.series=Earth+and+Environmental+Science%3B+Earth+and+Environmental+Science+%28R0%29&rft.date=2026-01-01&rft.pub=Springer+Nature&rft.isbn=9789819669240&rft_id=info:doi/10.1007%2F978-981-96-6925-7&rft.externalDBID=A7I&rft.externalDocID=oai_library_oapen_org_20_500_12657_107665
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=9789819669240/lc.gif&client=summon&freeimage=true
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=9789819669240/mc.gif&client=summon&freeimage=true
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=9789819669240/sc.gif&client=summon&freeimage=true