This title offers more than 100 papers originating in 20 countries, covering research on a widening range of methods for recharge enhancement and groundwater quality protection and improvement. These include: bank filtration; aquifer storage and recovery; and soil aquifer treatment, as well as rainwater harvesting and pond infiltration. The emphasis is on understanding subsurface process to improve siting, design and operation and to facilitate use of stormwater and reclaimed water, particularly in water-scarce areas.
This book adopts numerical method to model soil constitutive relationship while it abandons the traditional idea of looking for plastic potential as the only way to model. Firstly, the triaxial compression tests of expansive soil, sand and clay under different stress paths are introduced; then the elastoplastic constitutive equations of expansive soil, sand and clay under various stress paths are established by numerical modeling method; finally, the constitutive equations are embedded in the finite element program and verified by comparing the finite element calculation results of the triaxial test soil samples with the corresponding test results. The modeling obtains high accuracy.
When stresses are applied to saturated soil, deformation will occur as water in voids is squeezed out. Consolidation Analyses of Soils focuses on the consolidation of fully saturated soils. The book follows a classic approach by beginning with one-dimensional constitutive relations of soils and one-dimensional consolidation. It then moves on to analytical solutions to several one-dimensional consolidation problems and one-dimensional finite strain consolidation. The authors also present a finite element method for consolidation analysis of one-dimensional problems, analytical solutions to consolidation of soil with vertical drains, and a finite difference method for consolidation analysis of one-dimensional problems. Simplified methods for consolidation analysis of soils exhibiting creep are introduced and applied to different cases. Three-dimensional consolidation equations and solutions of typical three-dimensional consolidation problems are covered, as well as simplified finite element consolidation analysis of soils with vertical drain and finite element method for three-dimensional consolidation problems. The book is unique in that it covers both classic solutions and state-of-the-art work in consolidation analyses of soils. Authors Jian-Hua Yin is Chair Professor of Soil Mechanics in the Department of Civil and Environmental Engineering at The Hong Kong Polytechnic University. Guofu Zhu is a Professor in the Department of Engineering Structures and Mechanics at Wuhan University of Technology, China.
In this volume a number of developments on a variety of topics have been reported. These topics include: partially saturated soil; instabilities in soil behaviour; environmental geomechanics; parallel computing; and applications to tunnels, embankments, slopes, foundations and anchors.
Adaptive Learning Methods for Nonlinear System Modeling presents some of the recent advances on adaptive algorithms and machine learning methods designed for nonlinear system modeling and identification. Real-life problems always entail a certain degree of nonlinearity, which makes linear models a non-optimal choice. This book mainly focuses on those methodologies for nonlinear modeling that involve any adaptive learning approaches to process data coming from an unknown nonlinear system. By learning from available data, such methods aim at estimating the nonlinearity introduced by the unknown system. In particular, the methods presented in this book are based on online learning approaches, which process the data example-by-example and allow to model even complex nonlinearities, e.g., showing time-varying and dynamic behaviors. Possible fields of applications of such algorithms includes distributed sensor networks, wireless communications, channel identification, predictive maintenance, wind prediction, network security, vehicular networks, active noise control, information forensics and security, tracking control in mobile robots, power systems, and nonlinear modeling in big data, among many others. This book serves as a crucial resource for researchers, PhD and post-graduate students working in the areas of machine learning, signal processing, adaptive filtering, nonlinear control, system identification, cooperative systems, computational intelligence. This book may be also of interest to the industry market and practitioners working with a wide variety of nonlinear systems. - Presents the key trends and future perspectives in the field of nonlinear signal processing and adaptive learning. - Introduces novel solutions and improvements over the state-of-the-art methods in the very exciting area of online and adaptive nonlinear identification. - Helps readers understand important methods that are effective in nonlinear system modelling, suggesting the right methodology to address particular issues.
Numerical Methods in Geotechnical Engineering contains 153 scientific papers presented at the 7th European Conference on Numerical Methods in Geotechnical Engineering, NUMGE 2010, held at Norwegian University of Science and Technology (NTNU) in Trondheim, Norway, 2 4 June 2010.The contributions cover topics from emerging research to engineering pra
