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Probabilistic Methods In Civil Engineering
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Book Synopsis Probabilistic Methods in Geotechnical Engineering by : D. V. Griffiths
Download or read book Probabilistic Methods in Geotechnical Engineering written by D. V. Griffiths and published by Springer Science & Business Media. This book was released on 2007-12-14 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Contributions to Probabilistic Methods in Civil Engineering by : A. M. Hasofer
Download or read book Contributions to Probabilistic Methods in Civil Engineering written by A. M. Hasofer and published by . This book was released on 1973 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Probabilistic Methods in Structural Engineering by : Guiliano Augusti
Download or read book Probabilistic Methods in Structural Engineering written by Guiliano Augusti and published by CRC Press. This book was released on 1984-07-19 with total page 586 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the most important applications of probablistic and statistical approaches and procedures to structural engineering.
Book Synopsis Probabilistic Machine Learning for Civil Engineers by : James-A. Goulet
Download or read book Probabilistic Machine Learning for Civil Engineers written by James-A. Goulet and published by MIT Press. This book was released on 2020-04-14 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Probabilistic Methods in Civil Engineering by : Pol D. Spanos
Download or read book Probabilistic Methods in Civil Engineering written by Pol D. Spanos and published by . This book was released on 1988 with total page 572 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Probabilistic Methods in the Theory of Structures by : Isaac Elishakoff
Download or read book Probabilistic Methods in the Theory of Structures written by Isaac Elishakoff and published by John Wiley & Sons. This book was released on 1983 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: Well-written introduction covers probability theory from two or more random variables, reliability of such multivariable structures, theory of random function, Monte Carlo methods for problems incapable of exact solution, more.
Book Synopsis Probability, Statistics, and Decision for Civil Engineers by : Jack R Benjamin
Download or read book Probability, Statistics, and Decision for Civil Engineers written by Jack R Benjamin and published by Courier Corporation. This book was released on 2014-07-16 with total page 704 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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"--
Book Synopsis Probabilistic Methods in Civil Engineering by : P. D. Spanos
Download or read book Probabilistic Methods in Civil Engineering written by P. D. Spanos and published by . This book was released on 1988 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Bayesian Methods for Structural Dynamics and Civil Engineering by : Ka-Veng Yuen
Download or read book Bayesian Methods for Structural Dynamics and Civil Engineering written by Ka-Veng Yuen and published by John Wiley & Sons. This book was released on 2010-02-22 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bayesian methods are a powerful tool in many areas of science and engineering, especially statistical physics, medical sciences, electrical engineering, and information sciences. They are also ideal for civil engineering applications, given the numerous types of modeling and parametric uncertainty in civil engineering problems. For example, earthquake ground motion cannot be predetermined at the structural design stage. Complete wind pressure profiles are difficult to measure under operating conditions. Material properties can be difficult to determine to a very precise level – especially concrete, rock, and soil. For air quality prediction, it is difficult to measure the hourly/daily pollutants generated by cars and factories within the area of concern. It is also difficult to obtain the updated air quality information of the surrounding cities. Furthermore, the meteorological conditions of the day for prediction are also uncertain. These are just some of the civil engineering examples to which Bayesian probabilistic methods are applicable. Familiarizes readers with the latest developments in the field Includes identification problems for both dynamic and static systems Addresses challenging civil engineering problems such as modal/model updating Presents methods applicable to mechanical and aerospace engineering Gives engineers and engineering students a concrete sense of implementation Covers real-world case studies in civil engineering and beyond, such as: structural health monitoring seismic attenuation finite-element model updating hydraulic jump artificial neural network for damage detection air quality prediction Includes other insightful daily-life examples Companion website with MATLAB code downloads for independent practice Written by a leading expert in the use of Bayesian methods for civil engineering problems This book is ideal for researchers and graduate students in civil and mechanical engineering or applied probability and statistics. Practicing engineers interested in the application of statistical methods to solve engineering problems will also find this to be a valuable text. MATLAB code and lecture materials for instructors available at http://www.wiley.com/go/yuen
Book Synopsis Probabilistic Methods in Civil Engineering by : Pol D. Spanos
Download or read book Probabilistic Methods in Civil Engineering written by Pol D. Spanos and published by . This book was released on 1988 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis 18th International Probabilistic Workshop by : José C. Matos
Download or read book 18th International Probabilistic Workshop written by José C. Matos and published by Springer Nature. This book was released on 2021-05-07 with total page 855 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents the proceedings of the 18th International Probabilistic Workshop (IPW), which was held in Guimarães, Portugal in May 2021. Probabilistic methods are currently of crucial importance for research and developments in the field of engineering, which face challenges presented by new materials and technologies and rapidly changing societal needs and values. Contemporary needs related to, for example, performance-based design, service-life design, life-cycle analysis, product optimization, assessment of existing structures and structural robustness give rise to new developments as well as accurate and practically applicable probabilistic and statistical engineering methods to support these developments. These proceedings are a valuable resource for anyone interested in contemporary developments in the field of probabilistic engineering applications.
Book Synopsis Probabilistic Methods in Geotechnical Engineering by : K.S. Li
Download or read book Probabilistic Methods in Geotechnical Engineering written by K.S. Li and published by CRC Press. This book was released on 2020-08-19 with total page 611 pages. Available in PDF, EPUB and Kindle. Book excerpt: The proceedings of this conference contain keynote addresses on recent developments in geotechnical reliability and limit state design in geotechnics. It also contains invited lectures on such topics as modelling of soil variability, simulation of random fields and probability of rock joints. Contents: Keynote addresses on recent development on geotechnical reliability and limit state design in geotechnics, and invited lectures on modelling of soil variability, simulation of random field, probabilistic of rock joints, and probabilistic design of foundations and slopes. Other papers on analytical techniques in geotechnical reliability, modelling of soil properties, and probabilistic analysis of slopes, embankments and foundations.
Book Synopsis Applications of Statistics and Probability in Civil Engineering by : Michael Faber
Download or read book Applications of Statistics and Probability in Civil Engineering written by Michael Faber and published by CRC Press. This book was released on 2011-07-15 with total page 938 pages. Available in PDF, EPUB and Kindle. Book excerpt: Under the pressure of harsh environmental conditions and natural hazards, large parts of the world population are struggling to maintain their livelihoods. Population growth, increasing land utilization and shrinking natural resources have led to an increasing demand of improved efficiency of existing technologies and the development of new ones. A
Book Synopsis Probabilistic Methods for Structural Design by : Carlos Guedes Soares
Download or read book Probabilistic Methods for Structural Design written by Carlos Guedes Soares and published by Springer. This book was released on 2013-03-26 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains contributions from various authors on different important topics related with probabilistic methods used for the design of structures. Initially several of the papers were prepared for advanced courses on structural reliability or on probabilistic methods for structural design. These courses have been held in different countries and have been given by different groups of lecturers. They were aimed at engineers and researchers who already had some exposure to structural reliability methods and thus they presented overviews of the work in the various topics. The book includes a selection of those contributions, which can be of support for future courses or for engineers and researchers that want to have an update on specific topics. It is considered a complement to the existing textbooks on structural reliability, which normally ensure the coverage of the basic topics but then are not extensive enough to cover some more specialised aspects. In addition to the contributions drawn from those lectures there are several papers that have been prepared specifically for this book, aiming at complementing the others in providing an overall account of the recent advances in the field. It is with sadness that in the meanwhile we have seen the disappearance of two of the contributors to the book and, in fact two of the early contributors to this field.
Book Synopsis Statistics, Probability, and Reliability for Civil and Environmental Engineers by : Nathabandu T. Kottegoda
Download or read book Statistics, Probability, and Reliability for Civil and Environmental Engineers written by Nathabandu T. Kottegoda and published by . This book was released on 1998-01 with total page 735 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Probabilistic Methods in Structural Engineering by : Masanobu Shinozuka
Download or read book Probabilistic Methods in Structural Engineering written by Masanobu Shinozuka and published by . This book was released on 1981 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents papers from a symposium on the application of probabilistic methods to structural engineering. The symposium was co-sponsored by the Engineering Mechanics Division and the Structural Division of the American Society of Civil Engineers.
Book Synopsis Probability Concepts in Engineering: Emphasis on Applications to Civil and Environmental Engineering, 2e Instructor Site by : Alfredo H-S. Ang
Download or read book Probability Concepts in Engineering: Emphasis on Applications to Civil and Environmental Engineering, 2e Instructor Site written by Alfredo H-S. Ang and published by John Wiley & Sons. This book was released on 2007 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: Apply the principles of probability and statistics to realistic engineering problems The easiest and most effective way to learn the principles of probabilistic modeling and statistical inference is to apply those principles to a variety of applications. That’s why Ang and Tang’s Second Edition of Probability Concepts in Engineering (previously titled Probability Concepts in Engineering Planning and Design) explains concepts and methods using a wide range of problems related to engineering and the physical sciences, particularly civil and environmental engineering. Now extensively revised with new illustrative problems and new and expanded topics, this Second Edition will help you develop a thorough understanding of probability and statistics and the ability to formulate and solve real-world problems in engineering. The authors present each basic principle using different examples, and give you the opportunity to enhance your understanding with practice problems. The text is ideally suited for students, as well as those wishing to learn and apply the principles and tools of statistics and probability through self-study. Key Features in this 2nd Edition: A new chapter (Chapter 5) covers Computer-Based Numerical and Simulation Methods in Probability, to extend and expand the analytical methods to more complex engineering problems. New and expanded coverage includes distribution of extreme values (Chapter 3), the Anderson-Darling method for goodness-of-fit test (Chapter 6), hypothesis testing (Chapter 6), the determination of confidence intervals in linear regression (Chapter 8), and Bayesian regression and correlation analyses (Chapter 9). Many new exercise problems in each chapter help you develop a working knowledge of concepts and methods. Provides a wide variety of examples, including many new to this edition, to help you learn and understand specific concepts. Illustrates the formulation and solution of engineering-type probabilistic problems through computer-based methods, including developing computer codes using commercial software such as MATLAB and MATHCAD. Introduces and develops analytical probabilistic models and shows how to formulate engineering problems under uncertainty, and provides the fundamentals for quantitative risk assessment.
