Custom cover image
Custom cover image

Geotechnical Modeling and Intelligent Systems / Gao-Feng Zhao, editor

Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Publisher: Singapore : Springer, 2026Description: 1 Online-Ressource (X, 435 pages)ISBN:
  • 9789819669257
Subject(s): Additional physical formats: 9789819669240 | 9789819669264 | 9789819669271 | Erscheint auch als: 9789819669240 Druck-Ausgabe | Erscheint auch als: 9789819669264 Druck-Ausgabe | Erscheint auch als: 9789819669271 Druck-AusgabeDDC classification:
  • 624.151 23
DOI: DOI: 10.1007/978-981-96-6925-7Online resources: Summary: Multi-scale modeling and simulation in geotechnical engineering -- Numerical analysis and computational mechanics -- Simulation analysis of metamorphic rock and unsaturated soil.-Simulation research on the interaction of rock-soil-structure in geotechnical engineering -- Geotechnical simulation algorithms and systems.Summary: 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.PPN: PPN: 1938351606Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-EES | ZDB-2-SXEE | ZDB-2-SOB
No physical items for this record

DE-WIM2 Open Access; Controlled Vocabulary for Access Rights:

http://purl.org/coar/access_right/c_abf2

DE-WIM2 Namensnennung 4.0 International CC BY 4.0 cc:

https://creativecommons.org/licenses/by/4.0/

Barrierefreier Inhalt: PDF/UA-1. Table of contents navigation. Single logical reading order. Short alternative textual descriptions. Use of color is not sole means of conveying information. Use of high contrast between text and background color. Next / Previous structural navigation. All non-decorative content supports reading without sight

Anmerkungen zur Barrierefreiheit: This PDF has been created in accordance with the PDF/UA-1 standard to enhance accessibility, including screen reader support, described non-text content (images, graphs), bookmarks for easy navigation, keyboard-friendly links and forms and searchable, selectable text. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com. Please note that a more accessible version of this eBook is available as ePub.. No reading system accessibility options actively disabled. Publisher contact for further accessibility information: accessibilitysupport@springernature.com

KIT – The University in the Helmholtz Association                         Home | Impressum | Datenschutz | Barrierefreiheit | KIT