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  • Gao-Feng Zhao

    Lingua: Inglese

    Editore: Springer Nature Switzerland AG, Cham, 2025

    ISBN 10: 9819669243 ISBN 13: 9789819669240

    Da: Grand Eagle Retail, Bensenville, IL, U.S.A.

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    Hardcover. Condizione: new. Hardcover. This open access book provides insights into research topics related to geotechnical engineering simulations, and collects selected papers from the 2024 7th International Symposium on Traffic Transportation and Civil Architecture (ISTTCA 2024), 21-23 June 2024, held in Tianjin, China. 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. mso-para-margin-bottom: .5gd;">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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

  • Zhao, Gaofeng (Editor)

    Lingua: Inglese

    Editore: Springer Nature, 2025

    ISBN 10: 9819669243 ISBN 13: 9789819669240

    Da: Revaluation Books, Exeter, Regno Unito

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    Hardcover. Condizione: Brand New. 400 pages. 9.26x6.11x9.40 inches. In Stock.

  • Gao-Feng Zhao

    Lingua: Inglese

    Editore: Springer Nature Switzerland AG, Cham, 2025

    ISBN 10: 9819669243 ISBN 13: 9789819669240

    Da: CitiRetail, Stevenage, Regno Unito

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    Hardcover. Condizione: new. Hardcover. This open access book provides insights into research topics related to geotechnical engineering simulations, and collects selected papers from the 2024 7th International Symposium on Traffic Transportation and Civil Architecture (ISTTCA 2024), 21-23 June 2024, held in Tianjin, China. 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. mso-para-margin-bottom: .5gd;">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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

  • Zhao, Gaofeng (Editor)

    Lingua: Inglese

    Editore: Springer Nature, 2025

    ISBN 10: 9819669243 ISBN 13: 9789819669240

    Da: Revaluation Books, Exeter, Regno Unito

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    Hardcover. Condizione: Brand New. 400 pages. 9.26x6.11x9.40 inches. In Stock.

  • Gao-Feng Zhao

    Lingua: Inglese

    Editore: Springer, Springer, 2025

    ISBN 10: 9819669243 ISBN 13: 9789819669240

    Da: AHA-BUCH GmbH, Einbeck, Germania

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    Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This open access book provides insights into research topics related to geotechnical engineering simulations, and collects selected papers from the 2024 7th International Symposium on Traffic Transportation and Civil Architecture (ISTTCA 2024), 21-23 June 2024, held in Tianjin, China. 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.

  • Gao-Feng Zhao

    Lingua: Inglese

    Editore: Springer Nature Switzerland AG, Cham, 2025

    ISBN 10: 9819669243 ISBN 13: 9789819669240

    Da: AussieBookSeller, Truganina, VIC, Australia

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    Hardcover. Condizione: new. Hardcover. This open access book provides insights into research topics related to geotechnical engineering simulations, and collects selected papers from the 2024 7th International Symposium on Traffic Transportation and Civil Architecture (ISTTCA 2024), 21-23 June 2024, held in Tianjin, China. 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. mso-para-margin-bottom: .5gd;">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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

  • Gao-Feng Zhao

    Lingua: Inglese

    Editore: Springer Nature Singapore Okt 2025, 2025

    ISBN 10: 9819669243 ISBN 13: 9789819669240

    Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania

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    Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 435 pp. Englisch.

  • Gao-Feng Zhao

    Lingua: Inglese

    Editore: Springer, Springer Okt 2025, 2025

    ISBN 10: 9819669243 ISBN 13: 9789819669240

    Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania

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    Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 448 pp. Englisch.

  • Gao-Feng Zhao

    Lingua: Inglese

    Editore: Springer, 2025

    ISBN 10: 9819669243 ISBN 13: 9789819669240

    Da: preigu, Osnabrück, Germania

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    Buch. Condizione: Neu. Geotechnical Modeling and Intelligent Systems | Gao-Feng Zhao | Buch | x | Englisch | 2025 | Springer | EAN 9789819669240 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.