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Yanmei Zhang

Kirjat ja teokset yhdessä paikassa: 3 kirjaa, julkaisuja vuosilta 2021-2024, suosituimpien joukossa Application of Soft Computing, Machine Learning, Deep Learning and Optimizations in Geoengineering and Geoscience. Vertaile teosten hintoja ja tarkista saatavuus suomalaisista kirjakaupoista.

3 kirjaa

Kirjojen julkaisuhaarukka 2021-2024.

Design of Deep Braced Excavation in Urban Geotechnical Environments

Design of Deep Braced Excavation in Urban Geotechnical Environments

Wengang Zhang; Yanmei Zhang; Runhong Zhang; Yongqin Li; Li Hong; Yuntao Yuan

Elsevier - Health Sciences Division
2024
nidottu
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. 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 also outlined in detail. 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 will be ideal for those that need the latest knowledge in both theory and practical application for deep excavation problems.
Application of Soft Computing, Machine Learning, Deep Learning and Optimizations in Geoengineering and Geoscience

Application of Soft Computing, Machine Learning, Deep Learning and Optimizations in Geoengineering and Geoscience

Wengang Zhang; Yanmei Zhang; Xin Gu; Chongzhi Wu; Liang Han

SPRINGER VERLAG, SINGAPORE
2022
nidottu
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 solvingcritical problems of civil engineering.
Application of Soft Computing, Machine Learning, Deep Learning and Optimizations in Geoengineering and Geoscience

Application of Soft Computing, Machine Learning, Deep Learning and Optimizations in Geoengineering and Geoscience

Wengang Zhang; Yanmei Zhang; Xin Gu; Chongzhi Wu; Liang Han

SPRINGER VERLAG, SINGAPORE
2021
sidottu
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 solvingcritical problems of civil engineering.