Geo.Engineerings

This is the first book to show the capabilities of Microsoft Excel to teach engineering statistics effectively.  It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical engineering problems.  If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in engineering courses.  Its powerful computational ability and graphical functions make learning statistics much easier than in years past.  However, Excel 2013 for Engineering Statistics: A Guide to Solving Practical Problems is the first book to capitalize on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand engineering problems.  Practice problems are provided at the end of each chapter with their solutions in an Appendix.  Separately, there is a full Practice Test (with answers in an Appendix) that allows readers to test what they have learned.

Katta G. Murty ... 502 pages - Publisher: Springer; 2010 edition (March 14, 2010)
Language: English - ASIN: B008BA5X7Q 

Linear programming (LP), modeling, and optimization are very much the fundamentals of OR, and no academic program is complete without them. No matter how highly developed one’s LP skills are, however, if a fine appreciation for modeling isn’t developed to make the best use of those skills, then the truly ‘best solutions’ are often not realized, and efforts go wasted.

Katta Murty studied LP with George Dantzig, the father of linear programming, and has written the graduate-level solution to that problem. While maintaining the rigorous LP instruction required, Murty's new book is unique in his focus on developing modeling skills to support valid decision making for complex real world problems. He describes the approach as 'intelligent modeling and decision making' to emphasize the importance of employing the best expression of actual problems and then applying the most computationally effective and efficient solution technique for that model.

From Back Cover: Optimization for Decision Making: Linear and Quadratic Models is a first-year graduate level text that illustrates how to formulate real world problems using linear and quadratic models; how to use efficient algorithms – both old and new – for solving these models; and how to draw useful conclusions and derive useful planning information from the output of these algorithms. While almost all the best known books on LP are essentially mathematics books with only very simple modeling examples, this book emphasizes the intelligent modeling of real world problems, and the author presents several illustrative examples and includes many exercises from a variety of application areas.

Additionally, where other books on LP only discuss the simplex method, and perhaps existing interior point methods, this book also discusses a new method based on using the sphere which uses matrix inversion operations sparingly and may be well suited to solving large-scale LPs, as well as those that may not have the property of being very sparse. Individual chapters present a brief history of mathematical modeling; methods for formulating real world problems; three case studies that illustrate the need for intelligent modeling; classical theory of polyhedral geometry that plays an important part in the study of LP; duality theory, optimality conditions for LP, and marginal analysis; variants of the revised simplex method; interior point methods; sphere methods; and extensions of sphere method to convex and nonconvex quadratic programs and to 0-1 integer programs through quadratic formulations. End of chapter exercises are provided throughout, with additional exercises available online.

Nature-Inspired Optimization Algorithms provides a systematic introduction to all major nature-inspired algorithms for optimization. The book's unified approach, balancing algorithm introduction, theoretical background and practical implementation, complements extensive literature with well-chosen case studies to illustrate how these algorithms work. Topics include particle swarm optimization, ant and bee algorithms, simulated annealing, cuckoo search, firefly algorithm, bat algorithm, flower algorithm, harmony search, algorithm analysis, constraint handling, hybrid methods, parameter tuning and control, as well as multi-objective optimization. This book can serve as an introductory book for graduates, doctoral students and lecturers in computer science, engineering and natural sciences. It can also serve a source of inspiration for new applications. Researchers and engineers as well as experienced experts will also find it a handy reference. * * * Discusses and summarizes the latest developments in nature-inspired algorithms with comprehensive, timely literature + Provides a theoretical understanding as well as practical implementation hints + Provides a step-by-step introduction to each algorithm.

Mohamed Abdallah El-Reedy ... 345 pages - Publisher: CRC Press; 2nd edition (November, 2015) - Language: English - ISBN-10: 1498724701 - ISBN-13: 978-1498724708.

Increase the Durability and Performance of Concrete during Its Lifetime: While reinforced concrete is a durable material used for a wide range of construction projects in civil engineering, certain factors must be considered during its design, construction, and maintenance. This includes a variety of conditions impacting strength and performance relevant to specific structural systems, and the application of numerous codes. Advanced Materials and Techniques for Reinforced Concrete Structures, Second Edition discusses both traditional and new systems in concrete structures, outlines the advantages and disadvantages of each system and its importance to construction durability and reliability, and presents the latest advanced materials and construction techniques currently used in reinforced concrete structures.

New Edition Now Includes Eurocode, Egyptian Code, British Standard, and American Specifications (ACI): In addition to highlighting new materials that can be used to enhance concrete strength and performance, the book describes the traditional and newest materials used in concrete technology; and presents new approaches to utilizing an integrity management system. It provides a comparison of concrete strength utilizing ACI, BS, Eurocode, and Egyptian codes of practice, and also highlights different loads that affect buildings from the application of the different international codes.
By using this book, readers will learn how to: Choose the most reasonable structural system, materials, method of construction, and maintenance plan + Determine the optimum system to meet stability, reliability, and architectural requirements + Understand the statistical parameters that govern quality control in concrete construction projects + Analyze and meet concrete construction quality control criteria + Implement a maintenance plan incorporating modern construction techniques.

Advanced Materials and Techniques for Reinforced Concrete Structures, Second Edition serves as a practical guide on advanced materials, design, and construction techniques in concrete structures under different environmental conditions. Designed for practicing civil and structural engineers/engineering consultants, this revised version also appeals to senior undergraduate/graduate students in civil engineering - construction materials, and reinforced concrete (RC) construction.