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This greatly expanded second edition of this popular and handy reference book includes over 100 new pages, including extensive coverage of Section VIII of the ASME Pressure Vessel Code. Divided into 22 sections, this pocket-sized volume is an exhaustive "quick reference" of up-to-date engineering data and rules. It includes: essential mathematics; units; engineering design processes and principles; basic mechanical design; motion; mechanics of materials; material failure; thermodynamics; fluid mechanics; fluid equipment; vessel codes and standards; materials; machine elements; design and production tools; project engineering; computer-aided engineering; welding; non-destructive examination; corrosion; surface protection; metallurgical terms; and engineering associations and organizations.
After an examination of fundamental theories as applied to civil engineering, authoritative coverage is included on design practice for certain materials and specific structures and applications. A particular feature is the incorporation of chapters on construction and site practice, including contract management and control.
Prepared by the Civil Engineering Body of Knowledge 3 Task Committee of the Committee on Education of the American Society of Civil Engineers.The American Society of Civil Engineers defines the Civil Engineering Body of Knowledge as the necessary knowledge, skills, and attitudes required of an individual entering the practice of civil engineering at the professional level.Civil Engineering Body of Knowledge: Preparing the Future Civil Engineer, Third Edition outlines 21 foundational, technical, and professional practice learning outcomes for individuals entering the professional practice of civil engineering. Recommendations for fulfilling the outcomes through formal education, both at the undergraduate and post-graduate levels, and mentored early career experience are provided.Topics includeFoundational course education,Engineering fundamentals,Engineering technical skillsEngineering curriculum development, and Business and professional skills and responsibilities.This book will be of interest to students and early-career civil engineers as well as the professors who teach engineering and practicing engineers who mentor and develop new engineers within their organizations.
Ying-Kit Choi details the guidelines, principles, and philosophy needed to produce design documents for heavy civil engineering projects.
"This text covers the development of decision theory and related applications of probability. Extensive examples and illustrations cultivate students' appreciation for applications, including strength of materials, soil mechanics, construction planning, and water-resource design. Emphasis on fundamentals makes the material accessible to students trained in classical statistics and provides a brief introduction to probability. 1970 edition"--
Thomas Dion's Land Development has become a standard reference for the engineering information needed in site development. This revised edition brings the work completely up to date with current practices and procedures.
An introduction to key concepts and techniques in probabilistic machine learning for civil engineering students and professionals; with many step-by-step examples, illustrations, and exercises. This book introduces probabilistic machine learning concepts to civil engineering students and professionals, presenting key approaches and techniques in a way that is accessible to readers without a specialized background in statistics or computer science. It presents different methods clearly and directly, through step-by-step examples, illustrations, and exercises. Having mastered the material, readers will be able to understand the more advanced machine learning literature from which this book draws. The book presents key approaches in the three subfields of probabilistic machine learning: supervised learning, unsupervised learning, and reinforcement learning. It first covers the background knowledge required to understand machine learning, including linear algebra and probability theory. It goes on to present Bayesian estimation, which is behind the formulation of both supervised and unsupervised learning methods, and Markov chain Monte Carlo methods, which enable Bayesian estimation in certain complex cases. The book then covers approaches associated with supervised learning, including regression methods and classification methods, and notions associated with unsupervised learning, including clustering, dimensionality reduction, Bayesian networks, state-space models, and model calibration. Finally, the book introduces fundamental concepts of rational decisions in uncertain contexts and rational decision-making in uncertain and sequential contexts. Building on this, the book describes the basics of reinforcement learning, whereby a virtual agent learns how to make optimal decisions through trial and error while interacting with its environment.
This databook is an essential handbook for every engineering student or professional.Engineers' Practical Databook provides a concise and useful source of up-to-date essential formula, charts, and data for the student or practising engineer, technologist, applied mathematician or undergraduate scientist. Unlike almost all other engineering handbooks out there, this one doesn't package itself as a heavy, expensive or cumbersome textbook, and doesn't contain any preamble or lengthy chapters of 'filler' material. You will find value cover-to-cover with all the essential formula, charts, and materials data. This handbook is suitable for use in support of Higher Education programmes, including Higher National Diplomas and accredited engineering degrees. Topics include the essentials of aerospace, civil, electrical and electronic, mechanical and general engineering. Chapters include Mathematics, Materials, Mechanics, Structures, Machines and Mechanisms, Electrical and Electronics, Thermodynamics, Fluid Mechanics, Systems, and Project Management. First Edition is in SI Units. - Easy to use - Chapters organised by module/discipline topic - Physical, geometric, thermal, chemical and electrical properties - All variables and units clearly defined - Essential technical data
A well-written, hands-on, single-source guide to the professional practice of civil engineering There is a growing understanding that to be competitive at an international level, civil engineers not only must build on their traditional strengths in technology and science but also must acquire greater mastery of the business of civil engineering. Project management, teamwork, ethics, leadership, and communication have been defined as essential to the successful practice of civil engineering by the ASCE in the 2008 landmark publication, Civil Engineering Body of Knowledge for the 21st Century (BOK2). This single-source guide is the first to take the practical skills defined by the ASCE BOK2 and provide illuminating techniques, quotes, case examples, problems, and information to assist the reader in addressing the many challenges facing civil engineers in the real world. Civil Engineer's Handbook of Professional Practice: Focuses on the business and management aspects of a civil engineer's job, providing students and practitioners with sound business management principles Addresses contemporary issues such as permitting, globalization, sustainability, and emerging technologies Offers proven methods for balancing speed, quality, and price with contracting and legal issues in a client-oriented profession Includes guidance on juggling career goals, life outside work, compensation, and growth From the challenge of sustainability to the rigors of problem recognition and solving, this book is an essential tool for those practicing civil engineering.