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Showing 1 - 6 of 6 matches in All Departments
Integrating information from several areas of engineering geology, hydrogeology, geotechnical engineering, this book addresses the general field of groundwater from an engineering perspective. It covers geological engineering as well as hydrogeological and environmental geological problems caused by groundwater engineering. It includes 10 chapters, i.e., basic groundwater theory, parameter calculation in hydrogeology, prevention of geological problem caused by groundwater, construction dewatering, wellpoint dewatering methods, dewatering wells and drilling, groundwater dewatering in foundation-pit engineering, groundwater engineering in bedrock areas, numerical simulation in groundwater engineering, groundwater corrosion on concrete and steel. Based on up-to-date literature, it describes recent developments and presents several case studies with examples and problems. It is an essential reference source for industrial and academic researchers working in the groundwater field and can also serve as lecture-based course material providing fundamental information and practical tools for both senior undergraduate and postgraduate students in fields of geology engineering, hydrogeology, geotechnical engineering or to conduct related research.
Involving several areas of geological engineering, geotechnical
engineering and tunnel engineering, this book describes the soft
soil deformation characteristics and dynamic responses induced by
subway vibration load. Based on field monitoring and laboratory
testing data, with both comprehensive micro-and macroanalysis, the
authors present dynamic characteristics and deformation settlement
of saturated soft clay surrounding subway tunnels using dynamic and
static methodology. Mechanism of deformation, failure in
microstructure of soft clay soil, dynamic response, macro
deformation and settlement are all discussed and analyzed
thoroughly and systematically. Some of the research findings in
this book have been widely applied by large subway companies and
will have broader application prospects in future. All the above
make this book a valuable reference not only for technical
engineers working in subway design or construction but also for
advanced graduate students. Prof. Yiqun Tang works at the
Department of Geotechnical Engineering, Tongji University,
Shanghai, China.
Integrating information from several areas of engineering geology, hydrogeology, geotechnical engineering, this book addresses the general field of groundwater from an engineering perspective. It covers geological engineering as well as hydrogeological and environmental geological problems caused by groundwater engineering. It includes 10 chapters, i.e., basic groundwater theory, parameter calculation in hydrogeology, prevention of geological problem caused by groundwater, construction dewatering, wellpoint dewatering methods, dewatering wells and drilling, groundwater dewatering in foundation-pit engineering, groundwater engineering in bedrock areas, numerical simulation in groundwater engineering, groundwater corrosion on concrete and steel. Based on up-to-date literature, it describes recent developments and presents several case studies with examples and problems. It is an essential reference source for industrial and academic researchers working in the groundwater field and can also serve as lecture-based course material providing fundamental information and practical tools for both senior undergraduate and postgraduate students in fields of geology engineering, hydrogeology, geotechnical engineering or to conduct related research.
This book is one of the first technical overviews of autonomous vehicles written for a general computing and engineering audience. The authors share their practical experiences designing autonomous vehicle systems. These systems are complex, consisting of three major subsystems: (1) algorithms for localization, perception, and planning and control; (2) client systems, such as the robotics operating system and hardware platform; and (3) the cloud platform, which includes data storage, simulation, high-definition (HD) mapping, and deep learning model training. The algorithm subsystem extracts meaningful information from sensor raw data to understand its environment and make decisions as to its future actions. The client subsystem integrates these algorithms to meet real-time and reliability requirements. The cloud platform provides offline computing and storage capabilities for autonomous vehicles. Using the cloud platform, new algorithms can be tested so as to update the HD map-in addition to training better recognition, tracking, and decision models. Since the first edition of this book was released, many universities have adopted it in their autonomous driving classes, and the authors received many helpful comments and feedback from readers. Based on this, the second edition was improved by extending and rewriting multiple chapters and adding two commercial test case studies. In addition, a new section entitled "Teaching and Learning from this Book" was added to help instructors better utilize this book in their classes. The second edition captures the latest advances in autonomous driving and that it also presents usable real-world case studies to help readers better understand how to utilize their lessons in commercial autonomous driving projects. This book should be useful to students, researchers, and practitioners alike. Whether you are an undergraduate or a graduate student interested in autonomous driving, you will find herein a comprehensive overview of the whole autonomous vehicle technology stack. If you are an autonomous driving practitioner, the many practical techniques introduced in this book will be of interest to you. Researchers will also find extensive references for an effective, deeper exploration of the various technologies.
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