Geo.Engineerings

Andreas Antoniou, Wu-Sheng Lu ...
670 pages - Publisher: Springer; 2007 edition (March 12, 2007)
Language: English - ISBN-10: 0387711066 - ISBN-13: 978-0387711065

Practical Optimization: Algorithms and Engineering Applications provides a hands on treatment of the subject of optimization. A comprehensive set of problems and exercises makes the book suitable for use in one or two semesters of a first-year graduate course or an advanced undergraduate course. Each half of the book contains a full semester’s worth of complementary yet stand-alone material. The practical orientation of the topics chosen and a wealth of useful examples also make the book suitable as a reference work for practitioners in the field.

Advancements in the efficiency of digital computers and the evolution of reliable software for numerical computation during the past three decades have led to a rapid growth in the theory, methods, and algorithms of numerical optimization. This body of knowledge has motivated widespread applications of optimization methods in many disciplines, e.g., engineering, business, and science, and has subsequently led to problem solutions that were considered intractable not too long ago.

Key Features: Extensively class-tested * Provides a complete teaching package with MATLAB exercises and online solutions to end-of-chapter problems * Includes recent methods of emerging interest such as semidefinite programming and second-order cone programming * Presents a unified treatment of unconstrained and constrained optimization * Uses a practical treatment of optimization accessible to broad audience, from college students to scientists and industry professionals Provides a thorough appendix with background theory so non-experts can understand how applications are solved from point of view of optimization.

J. H. Bungey, Ray Hulse, W. H. Mosley ... 444 pages - Publisher: Palgrave; (June, 1996) ... Language: English - ISBN-10: 033360878X - ISBN-13: 978-0333608784 ...

This text is developed from the established and well-known textbook Reinforced Concrete Design. It adopts the same format of presentation to cover the design and detailing of reinforced and prestressed concrete members and structures to the new Eurocode for the design of concrete structures (Eurocode 2: Design of Concrete Structures, Part 1).

Alberto Carpinteri ... 216 pages - Publisher: Elsevier Science; (April, 1999) ... Language: English - ISBN-10: 0444543643 - ISBN-13: 978-0444543646 ...

The ESIS-Technical Committee 9 on Concrete was established in 1990 and has met seven times. A proposal was put to European and extra-European laboratories entitled "Scale effects and transitional failure phenomena of reinforced concrete beams in flexure" which lead to several positive responses. The central topic discussed by the committee was that of the minimum reinforcement in concrete members. The minimum amount of reinforcement is defined as that for which "peak load at first concrete cracking" and "ultimate load after steel yielding" are equal. In this way, any brittle behaviour is avoided as well as any localized failure, if the member is not over-reinforced. In other words, there is a reinforcement percentage range, depending on the size-scale, within which the plastic limit analysis may be applied with its static and kinematic theorems. Carpinteri, Ferro, Bosco and El-Katieb propose a LEFM model, according to which reinforcement reactions are applied directly on the crack surfaces and a compatibility condition is locally imposed on the crack opening displacement in correspondence with the reinforcement. The theoretical model is found to provide a satisfactory estimate of the minimum percentage of reinforcement that depends on the scale and enables the element in flexure to prevent brittle failure.

Xin-She Yang ... 347 pages - Publisher: Wiley; 1st edition (July, 2010) ... Language: English - ISBN-10: 0470582464 - ISBN-13: 978-0470582466 ...

An accessible introduction to metaheuristics and optimization, featuring powerful and modern algorithms for application across engineering and the sciences: From engineering and computer science to economics and management science, optimization is a core component for problem solving. Highlighting the latest developments that have evolved in recent years, Engineering Optimization: An Introduction with Metaheuristic Applications outlines popular metaheuristic algorithms and equips readers with the skills needed to apply these techniques to their own optimization problems. With insightful examples from various fields of study, the author highlights key concepts and techniques for the successful application of commonly-used metaheuristc algorithms, including simulated annealing, particle swarm optimization, harmony search, and genetic algorithms. The author introduces all major metaheuristic algorithms and their applications in optimization through a presentation that is organized into three succinct parts: Foundations of Optimization and Algorithms provides a brief introduction to the underlying nature of optimization and the common approaches to optimization problems, random number generation, the Monte Carlo method, and the Markov chain Monte Carlo method + Metaheuristic Algorithms presents common metaheuristic algorithms in detail, including genetic algorithms, simulated annealing, ant algorithms, bee algorithms, particle swarm optimization, firefly algorithms, and harmony search +Applications outlines a wide range of applications that use metaheuristic algorithms to solve challenging optimization problems with detailed implementation while also introducing various modifications used for multi-objective optimization. Throughout the book, the author presents worked-out examples and real-world applications that illustrate the modern relevance of the topic. A detailed appendix features important and popular algorithms using MATLAB® and Octave software packages, and a related FTP site houses MATLAB code and programs for easy implementation of the discussed techniques. In addition, references to the current literature enable readers to investigate individual algorithms and methods in greater detail. Engineering Optimization: An Introduction with Metaheuristic Applications is an excellent book for courses on optimization and computer simulation at the upper-undergraduate and graduate levels. It is also a valuable reference for researchers and practitioners working in the fields of mathematics, engineering, computer science, operations research, and management science who use metaheuristic algorithms to solve problems in their everyday work.

A. Ravindran, K. M. Ragsdell, G. V. Reklaitis ... 688 pages - Publisher: Wiley; 2nd edition (May, 2006) ... Language: English - ISBN-10: 0471558141 - ISBN-13: 978-0471558149 ...

The classic introduction to engineering optimization theory and practice--now expanded and updated. Engineering optimization helps engineers zero in on the most effective, efficient solutions to problems. This text provides a practical, real-world understanding of engineering optimization. Rather than belaboring underlying proofs and mathematical derivations, it emphasizes optimization methodology, focusing on techniques and stratagems relevant to engineering applications in design, operations, and analysis. It surveys diverse optimization methods, ranging from those applicable to the minimization of a single-variable function to those most suitable for large-scale, nonlinear constrained problems. New material covered includes the duality theory, interior point methods for solving LP problems, the generalized Lagrange multiplier method and generalization of convex functions, and goal programming for solving multi-objective optimization problems. A practical, hands-on reference and text, Engineering Optimization, Second Edition covers: * Practical issues, such as model formulation, implementation, starting point generation, and more. * Current, state-of-the-art optimization software. * Three engineering case studies plus numerous examples from chemical, industrial, and mechanical engineering. * Both classical methods and new techniques, such as successive quadratic programming, interior point methods, and goal programming. Excellent for self-study and as a reference for engineering professionals, this Second Edition is also ideal for senior and graduate courses on engineering optimization, including television and online instruction, as well as for in-plant training.