the Academic NEST

Martin H. Trauth ... 529 pages - Publisher: Springer; 5th edition (December, 2020) - Language: English ... ISBN-10: 3030384403 - ISBN-13: 978-3030384401.

MATLAB is used in a wide range of geoscientific applications, e.g. for image processing in remote sensing, for creating and processing digital elevation models, and for analyzing time series. This book introduces readers to MATLAB-based data analysis methods used in the geosciences, including basic statistics for univariate, bivariate and multivariate datasets, time-series analysis, signal processing, the analysis of spatial and directional data, and image analysis. The revised and updated Fifth Edition includes seven new sections, and the majority of the chapters have been rewritten and significantly expanded. New sections include error analysis, the problem of classical linear regression of log-transformed data, aligning stratigraphic sequences, the Normalized Difference Vegetation Index, Aitchison’s log-ratio transformation, graphical representation of spherical data, and statistics of spherical data. The book also includes numerous examples demonstrating how MATLAB can be used on datasets from the earth sciences. The supplementary electronic material (available online through SpringerLink) contains recipes that include all the MATLAB commands featured in the book and the sample data.

K.S. Li, S.-C.R. Lo ... 344 pages ... Language: English - Publisher: CRC Press; (August, 2020) - AmazonSIN: B08FGJH95W.

The proceedings of this conference contain keynote addresses on recent developments in geotechnical reliability and limit state design in geotechnics. It also contains invited lectures on such topics as modelling of soil variability, simulation of random fields and probability of rock joints. Contents: Keynote addresses on recent development on geotechnical reliability and limit state design in geotechnics, and invited lectures on modelling of soil variability, simulation of random field, probabilistic of rock joints, and probabilistic design of foundations and slopes. Other papers on analytical techniques in geotechnical reliability, modelling of soil properties, and probabilistic analysis of slopes, embankments and foundations.

Marco Locatelli, Fabio Schoen ... 445 pages - Publisher: SIAM-Society for Industrial and Applied Mathematics (October, 2013) ... Language: English - ISBN-10: 1611972663 - ISBN-13: 978-1611972665.

This volume contains a thorough overview of the rapidly growing field of global optimization, with chapters on key topics such as complexity, heuristic methods, derivation of lower bounds for minimization problems, and branch-and-bound methods and convergence. The final chapter offers both benchmark test problems and applications of global optimization, such as finding the conformation of a molecule or planning an optimal trajectory for interplanetary space travel. An appendix provides fundamental information on convex and concave functions.

Audience: Global Optimization is intended for Ph.D. students, researchers, and practitioners looking for advanced solution methods to difficult optimization problems. It can be used as a supplementary text in an advanced graduate-level seminar. Contents: Chapter 1: Introduction; Chapter 2: Complexity; Chapter 3: Heuristics; Chapter 4: Lower Bounds; Chapter 5: Branch and Bound; Chapter 6: Problems; Appendix A: Basic Definitions and Results on Convexity; Appendix B: Notation.

D. V. Griffiths, G. A. Fenton ... 346 pages - Publisher: Springer; (June, 2010) ... Language: English - ISBN-10: 3211733655 - ISBN-13: 978-3211733653.

Learn to use probabilistic techniques to solve problems in geotechnical engineering. The book reviews the statistical theories needed to develop the methodologies and interpret the results. Next, the authors explore probabilistic methods of analysis, such as the first order second moment method, the point estimate method, and random set theory. Examples and case histories guide you step by step in applying the techniques to particular problems.

Wan-Huan ZHOU, Zhen-Yu YIN, Ka-Veng Yuen ... 475 pages - Publisher: Springer; (November, 2020) ... Language: English - ASIN: B08NG1D7G8.

This book introduces systematically the application of Bayesian probabilistic approach in soil mechanics and geotechnical engineering. Four typical problems are analyzed by using Bayesian probabilistic approach, i.e., to model the effect of initial void ratio on the soil–water characteristic curve (SWCC) of unsaturated soil, to select the optimal model for the prediction of the creep behavior of soft soil under one-dimensional straining, to identify model parameters of soils and to select constitutive model of soils considering critical state concept. This book selects the simple and easy-to-understand Bayesian probabilistic algorithm, so that readers can master the Bayesian method to analyze and solve the problem in a short time. In addition, this book provides MATLAB codes for various algorithms and source codes for constitutive models so that readers can directly analyze and practice.

Martin H. Sadd ... 624 pages - Publisher: Academic Press; 4th edition (April, 2020) - Language: English ... ISBN-10: 0128159871 - ISBN-13: 978-0128159873.

Elasticity: Theory, Applications, and Numerics, Fourth Edition, continues its market-leading tradition of concisely presenting and developing the linear theory of elasticity, moving from solution methodologies, formulations, and strategies into applications of contemporary interest, such as fracture mechanics, anisotropic and composite materials, micromechanics, nonhomogeneous graded materials, and computational methods.

Developed for a one- or two-semester graduate elasticity course, this new edition has been revised with new worked examples and exercises, and new or expanded coverage of areas such as treatment of large deformations, fracture mechanics, strain gradient and surface elasticity theory, and tensor analysis. Using MATLAB software, numerical activities in the text are integrated with analytical problem solutions. Online ancillary support materials for instructors include a solutions manual, image bank, and a set of PowerPoint lecture slides.

M. Rashad Islam, Rafiqul A. Tarefder ... 576 pages - Publisher: McGraw-Hill Education; (July, 2020) - Language: English ... ISBN-10: 1260458911 - ISBN-13: 978-1260458916.

This student-friendly textbook offers comprehensive coverage of pavement design and highways. Written by two seasoned civil engineering educators, the book contains precise explanations of traditional and computerized mechanistic design methods along with detailed examples of real-world pavement and highway projects. Pavement Design: Materials, Analysis, and Highways shows, step by step, how to apply the latest, software-based AASHTOWare Pavement Mechanistic-Empirical Design method. Each design topic is covered in separate, modular chapters, enabling you to tailor a course of study. Fundamentals of Engineering (FE) sample questions are also provided in each chapter.

ASDIP Retain is a suite of modules specifically dedicated to the design of retaining walls, based on the latest IBC / ACI 318 specifications, that greatly simplifies the time-consuming calculations in any structural engineering office.

ASDIP Retain includes the design of the following two types of retaining walls: - Cantilever Retaining Walls: Design of a retaining wall supported only at the base under the combination of earth pressure, surcharge, wind and seismic loads. The module designs the wall per the load combinations of the ASCE 7. - Restrained Retaining Walls: Design of a retaining wall supported at the base and laterally restrained at the top, also known as a basement wall, under the combination of earth pressure, surcharge, wind and seismic loads. The module designs the wall per the load combinations of the ASCE 7.