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Provides a clear, comprehensive introduction to the subject. Different problems of optimization are considered and illustrated with examples. Large sets of new experimental data are presented and discussed.
This book details the latest information on the applied methods and techniques being used for quality control of concrete construction worldwide. The book forms the proceedings of the Second International Symposium on Quality Control on Concrete Structures, held in Belgium, June 1991.
Presenting the latest research discussed at the Twelfth International Conference on Computer Aided Optimum Design in Engineering, this book contains papers describing case studies in engineering; considering static, dynamic analysis and damage tolerance. Manufacturing and structural protection issues are discussed as well as emergent applications in fields such as biomechanics. Contributions also include numerical methods and different optimisation techniques.Nowadays, it is widely accepted that optimisation techniques have much to offer to those involved in the design of new industrial products. The formulation of optimum design has evolved from the time it was purely an academic topic, unable now to satisfy the requirements of real life prototypes. The development of new algorithms, the improvement of others, the appearance of powerful commercial computer codes with easy to use graphical interfaces and the revolution in the speed of computers has created a fertile field for the incorporation of optimisation in the design process in different engineering disciplines Topics covered include: Structural optimisation, Optimisation in biomechanics, Shape and topology optimisation, Industrial design optimisation cases, Evolutionary methods in design optimisation, Multi-level optimisation, Multidisciplinary optimisation, Reliability based optimisation, Material optimisation, Aerospace structures, Applications in mechanical and car engineering, New and enhanced formulations, Optimisation under extreme forces, Optimisation in aerodynamics, Optimisation in civil engineering, Life cost optimisation, Education issues in design optimisation, Commercial software for design optimisation.
The complexity of specifications and the number of materials options available today for concrete production mean that the traditional procedure of making trial mixes is now unnecessary, expensive and time consuming. Using J.D Dewar's research, this book shows how a small amount of materials data can be used confidently to predict the composition o
The two-volume set LNCS 7951 and 7952 constitutes the refereed proceedings of the 10th International Symposium on Neural Networks, ISNN 2013, held in Dalian, China, in July 2013. The 157 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in following topics: computational neuroscience, cognitive science, neural network models, learning algorithms, stability and convergence analysis, kernel methods, large margin methods and SVM, optimization algorithms, varational methods, control, robotics, bioinformatics and biomedical engineering, brain-like systems and brain-computer interfaces, data mining and knowledge discovery and other applications of neural networks.
This Book Systematically Explains The Basic Principles And Techniques Involved In The Design Of Reinforced Concrete Structures. It Exhaustively Covers The First Course On The Subject At B.E./ B.Tech Level.Important Features: * Exposition Is Based On The Latest Indian Standard Code Is: 456-2000. * Limit State Method Emphasized Throughout The Book. * Working Stress Method Also Explained. * Detailing Aspects Of Reinforcement Highlighted. * Incorporates Earthquake Resistant Design. * Includes A Large Number Of Solved Examples, Practice Problems And Illustrations.The Book Would Serve As A Comprehensive Text For Undergraduate Civil Engineering Students. Practising Engineers Would Also Find It A Valuable Reference Source.
This book explains use of data science-based techniques for modeling and providing optimal solutions to complex problems in civil engineering. It discusses civil engineering problems like air, water and land pollution, climate crisis, transportation infrastructures, traffic and travel modes, mobility services, and so forth. Divided into two sections, the first one deals with the basics of data science and essential mathematics while the second section covers pertinent applications in structural and environmental engineering, construction management, and transportation. Features: Details information on essential mathematics required to implement civil engineering applications using data science techniques. Discusses broad background of data science and its fundamentals. Focusses on structural engineering, transportation systems, water resource management, geomatics, and environmental engineering. Includes python programming libraries to solve complex problems. Addresses various real-world applications of data science based civil engineering use cases. This book aims at senior undergraduate students in Civil Engineering and Applied Data Science.