Stability Evaluation of Slope Under Heavy Rainfall Based on Geometric Features
142,99 €
UVP
160,49 €
inkl. gesetzl. MwSt.,
Beschreibung
Produktdetails
Einband
Gebundene Ausgabe
Erscheinungsdatum
28.05.2026
Abbildungen
X, 151 illus., 137 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen
Verlag
Springer SingaporeSeitenzahl
196
Maße (L/B/H)
24,1/16/1,7 cm
Gewicht
481 g
Auflage
1. Auflage
Sprache
Englisch
ISBN
978-981-9586-55-4
This book presents a systematic framework for evaluating slope stability under short-term heavy rainfall by integrating numerical simulation with GIS-based analysis. It covers several key aspects, including the simulation of heterogeneous weathered soils in FLAC 3D and experimental approaches for determining the hydraulic properties of unsaturated soils. In addition, it addresses unsaturated seepage and slope stability analysis under rainfall conditions using FLAC 3D , as well as GIS-based assessment of rainfall-induced landslide susceptibility. Unlike conventional GIS-based regional stability assessment methods that rely on simplified infiltration models, such as the Green–Ampt (GA) model or the one-dimensional Richards equation, this book introduces a novel geometric indicator, the Slope Surface Roughness Coefficient (SSRC), to quantitatively characterize the influence of three-dimensional slope geometry on stability. The book is organized as follows. Chapter 1 reviews recent advances in slope stability analysis under rainfall conditions. Chapter 2 presents physical model tests of rainfall-induced slope failure. Chapter 3 introduces the theoretical framework and governing equations. Chapters 4 and 5 provide numerical simulations of rainfall-triggered slope failures in the Kyushu region of Japan. Chapters 6 and 7 describe a methodology for regional slope stability assessment under heavy rainfall based on the SSRC of three-dimensional (3D) slopes. This book is intended for geotechnical engineers engaged in disaster prevention and mitigation under heavy rainfall, as well as researchers interested in combining numerical modeling and GIS techniques for geotechnical engineering applications.
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