the Academic NEST

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.