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This book summarizes the application of soft computing techniques,
machine learning approaches, deep learning algorithms and
optimization techniques in geoengineering including tunnelling,
excavation, pipelines, etc. and geoscience including the
geohazards, rock and soil properties, etc. The book features
state-of-the-art studies on use of SC,ML,DL and optimizations in
Geoengineering and Geoscience. Considering these points and
understanding, this book will be compiled with highly focussed
chapters that will discuss the application of SC,ML,DL and
optimizations in Geoengineering and Geoscience. Target audience:
(1) Students of UG, PG, and Research Scholars: Several applications
of SC,ML,DL and optimizations in Geoengineering and Geoscience can
help students to enhance their knowledge in this domain. (2)
Industry Personnel and Practitioner: Practitioners from different
fields can be able to implement standard and advanced SC,ML,DL and
optimizations for solving critical problems of civil engineering.
Design of Deep Braced Excavation in Urban Geotechnical Environments
presents the design and calculation of deep braced excavation in
urban geotechnical environments considering the soil
characteristics of spatial variability and anisotropy, as well as
excavation responses of urban adjacent utilities such as pipelines,
tunnels, foundation piles and buildings. With economic development
and further urbanization, excavation goes deeper, longer, and
larger in scale. These conditions require advanced analysis and
design methods. The text begins with coverage of overall stability,
earth pressure and strut force, retaining wall responses, and
ground movements. Numerical modeling and computer codes are
outlined in detail. The authors then take a close look at the
design of jet grouting for deformation control, instrumentation and
back analysis for excavation, and the characteristics of deep
braced excavation in complex geological environment. The final
chapters conclude with an examination of the determination of
excavation responses of urban adjacent utilities and failure
analysis based on several case histories. This book provides the
latest knowledge in both theory and practical application for
geotechnical design engineers working on deep excavation problems.
This book summarizes the application of soft computing techniques,
machine learning approaches, deep learning algorithms and
optimization techniques in geoengineering including tunnelling,
excavation, pipelines, etc. and geoscience including the
geohazards, rock and soil properties, etc. The book features
state-of-the-art studies on use of SC,ML,DL and optimizations in
Geoengineering and Geoscience. Considering these points and
understanding, this book will be compiled with highly focussed
chapters that will discuss the application of SC,ML,DL and
optimizations in Geoengineering and Geoscience. Target audience:
(1) Students of UG, PG, and Research Scholars: Several applications
of SC,ML,DL and optimizations in Geoengineering and Geoscience can
help students to enhance their knowledge in this domain. (2)
Industry Personnel and Practitioner: Practitioners from different
fields can be able to implement standard and advanced SC,ML,DL and
optimizations for solving critical problems of civil engineering.
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