Search preferences
Ir a los resultados principales

Filtros de búsqueda

Tipo de artículo

  • Todos los tipos de productos 
  • Libros (9)
  • Revistas y publicaciones (No hay ningún otro resultado que coincida con este filtro.)
  • Cómics (No hay ningún otro resultado que coincida con este filtro.)
  • Partituras (No hay ningún otro resultado que coincida con este filtro.)
  • Arte, grabados y pósters (No hay ningún otro resultado que coincida con este filtro.)
  • Fotografías (No hay ningún otro resultado que coincida con este filtro.)
  • Mapas (No hay ningún otro resultado que coincida con este filtro.)
  • Manuscritos y coleccionismo de papel (No hay ningún otro resultado que coincida con este filtro.)

Condición Más información

  • Nuevo (9)
  • Como nuevo, Excelente o Muy bueno (No hay ningún otro resultado que coincida con este filtro.)
  • Bueno o Aceptable (No hay ningún otro resultado que coincida con este filtro.)
  • Regular o Pobre (No hay ningún otro resultado que coincida con este filtro.)
  • Tal como se indica (No hay ningún otro resultado que coincida con este filtro.)

Encuadernación

  • Todas 
  • Tapa dura (9)
  • Tapa blanda (No hay ningún otro resultado que coincida con este filtro.)

Más atributos

  • Primera edición (No hay ningún otro resultado que coincida con este filtro.)
  • Firmado (No hay ningún otro resultado que coincida con este filtro.)
  • Sobrecubierta (No hay ningún otro resultado que coincida con este filtro.)
  • Con imágenes (4)
  • No impresión bajo demanda (6)

Idioma (1)

Precio

  • Cualquier precio 
  • Menos de EUR 20 (No hay ningún otro resultado que coincida con este filtro.)
  • EUR 20 a EUR 45 (No hay ningún otro resultado que coincida con este filtro.)
  • Más de EUR 45 
Intervalo de precios personalizado (EUR)

Ubicación del vendedor

  • Gao-Feng Zhao

    Idioma: Inglés

    Publicado por Springer Nature Switzerland AG, Cham, 2025

    ISBN 10: 9819669243 ISBN 13: 9789819669240

    Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America

    Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

    Contactar al vendedor

    EUR 65,69

    Gastos de envío gratis
    Se envía dentro de Estados Unidos de America

    Cantidad disponible: 1 disponibles

    Añadir al carrito

    Hardcover. Condición: 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)

    Idioma: Inglés

    Publicado por Springer Nature, 2025

    ISBN 10: 9819669243 ISBN 13: 9789819669240

    Librería: Revaluation Books, Exeter, Reino Unido

    Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

    Contactar al vendedor

    EUR 53,62

    Envío por EUR 14,46
    Se envía de Reino Unido a Estados Unidos de America

    Cantidad disponible: 1 disponibles

    Añadir al carrito

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

  • Gao-Feng Zhao

    Idioma: Inglés

    Publicado por Springer Nature Switzerland AG, Cham, 2025

    ISBN 10: 9819669243 ISBN 13: 9789819669240

    Librería: CitiRetail, Stevenage, Reino Unido

    Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

    Contactar al vendedor

    EUR 55,40

    Envío por EUR 42,81
    Se envía de Reino Unido a Estados Unidos de America

    Cantidad disponible: 1 disponibles

    Añadir al carrito

    Hardcover. Condición: 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)

    Idioma: Inglés

    Publicado por Springer Nature, 2025

    ISBN 10: 9819669243 ISBN 13: 9789819669240

    Librería: Revaluation Books, Exeter, Reino Unido

    Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

    Contactar al vendedor

    EUR 91,13

    Envío por EUR 14,46
    Se envía de Reino Unido a Estados Unidos de America

    Cantidad disponible: 1 disponibles

    Añadir al carrito

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

  • Gao-Feng Zhao

    Idioma: Inglés

    Publicado por Springer, Springer, 2025

    ISBN 10: 9819669243 ISBN 13: 9789819669240

    Librería: AHA-BUCH GmbH, Einbeck, Alemania

    Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

    Contactar al vendedor

    EUR 58,56

    Envío por EUR 64,57
    Se envía de Alemania a Estados Unidos de America

    Cantidad disponible: 1 disponibles

    Añadir al carrito

    Buch. Condición: 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

    Idioma: Inglés

    Publicado por Springer Nature Switzerland AG, Cham, 2025

    ISBN 10: 9819669243 ISBN 13: 9789819669240

    Librería: AussieBookSeller, Truganina, VIC, Australia

    Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

    Contactar al vendedor

    EUR 96,58

    Envío por EUR 32,28
    Se envía de Australia a Estados Unidos de America

    Cantidad disponible: 1 disponibles

    Añadir al carrito

    Hardcover. Condición: 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

    Idioma: Inglés

    Publicado por Springer Nature Singapore Okt 2025, 2025

    ISBN 10: 9819669243 ISBN 13: 9789819669240

    Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania

    Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

    Contactar al vendedor

    Impresión bajo demanda

    EUR 53,49

    Envío por EUR 23,00
    Se envía de Alemania a Estados Unidos de America

    Cantidad disponible: 2 disponibles

    Añadir al carrito

    Buch. Condición: 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

    Idioma: Inglés

    Publicado por Springer, Springer Okt 2025, 2025

    ISBN 10: 9819669243 ISBN 13: 9789819669240

    Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania

    Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

    Contactar al vendedor

    Impresión bajo demanda

    EUR 53,49

    Envío por EUR 60,00
    Se envía de Alemania a Estados Unidos de America

    Cantidad disponible: 1 disponibles

    Añadir al carrito

    Buch. Condición: 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

    Idioma: Inglés

    Publicado por Springer, 2025

    ISBN 10: 9819669243 ISBN 13: 9789819669240

    Librería: preigu, Osnabrück, Alemania

    Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

    Contactar al vendedor

    Impresión bajo demanda

    EUR 50,25

    Envío por EUR 70,00
    Se envía de Alemania a Estados Unidos de America

    Cantidad disponible: 5 disponibles

    Añadir al carrito

    Buch. Condición: 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.