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An Introduction To Deep Foundations
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Book Synopsis Current Practices and Future Trends in Deep Foundations by : Jerry A. DiMaggio
Download or read book Current Practices and Future Trends in Deep Foundations written by Jerry A. DiMaggio and published by . This book was released on 2004 with total page 514 pages. Available in PDF, EPUB and Kindle. Book excerpt: GSP 125 contains 26 papers on state-of-the-art developments in deep foundation collected in honor of George G. Goble, Ph.D., P.E.
Author :Vincent Francois-Lavet Publisher :Foundations and Trends (R) in Machine Learning ISBN 13 :9781680835380 Total Pages :156 pages Book Rating :4.8/5 (353 download)
Book Synopsis An Introduction to Deep Reinforcement Learning by : Vincent Francois-Lavet
Download or read book An Introduction to Deep Reinforcement Learning written by Vincent Francois-Lavet and published by Foundations and Trends (R) in Machine Learning. This book was released on 2018-12-20 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep reinforcement learning is the combination of reinforcement learning (RL) and deep learning. This field of research has recently been able to solve a wide range of complex decision-making tasks that were previously out of reach for a machine. Deep RL opens up many new applications in domains such as healthcare, robotics, smart grids, finance, and many more. This book provides the reader with a starting point for understanding the topic. Although written at a research level it provides a comprehensive and accessible introduction to deep reinforcement learning models, algorithms and techniques. Particular focus is on the aspects related to generalization and how deep RL can be used for practical applications. Written by recognized experts, this book is an important introduction to Deep Reinforcement Learning for practitioners, researchers and students alike.
Book Synopsis An Introduction to Deep Foundations by : J. Paul Guyer
Download or read book An Introduction to Deep Foundations written by J. Paul Guyer and published by Independently Published. This book was released on 2018-10 with total page 30 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introductory technical guidance for civil, structural and geotechnical engineers and construction managers interested in design and construction of deep foundations for buildings and other structures. Here is what is discussed: 1. GENERAL 2. FLOATING FOUNDATIONS 3. SETTLEMENTS OF COMPENSATED FOUNDATIONS 4. UNDERPINNING 5. EXCAVATION PROTECTION 6. DRILLED PIERS 7. FOUNDATION SELECTION CONSIDERATIONS.
Book Synopsis An Introduction to Deep Foundations by : J. Paul Guyer
Download or read book An Introduction to Deep Foundations written by J. Paul Guyer and published by Guyer Partners. This book was released on 2018-10-01 with total page 25 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introductory technical guidance for civil, structural and geotechnical engineers and construction managers interested in design and construction of deep foundations for buildings and other structures. Here is what is discussed: 1. GENERAL 2. FLOATING FOUNDATIONS 3. SETTLEMENTS OF COMPENSATED FOUNDATIONS 4. UNDERPINNING 5. EXCAVATION PROTECTION 6. DRILLED PIERS 7. FOUNDATION SELECTION CONSIDERATIONS.
Book Synopsis An Introduction to Pile Foundations for Structures for Professional Engineers by : J. Paul Guyer, P.E., R.A.
Download or read book An Introduction to Pile Foundations for Structures for Professional Engineers written by J. Paul Guyer, P.E., R.A. and published by Guyer Partners. This book was released on 2023-11-24 with total page 38 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introductory technical guidance for civil engineers, structural engineers, geotechnical engineers and construction managers interested construction of pile foundations. Here is what is discussed: 1. INTRODUCTION, 2. TYPES OF PILE FOUNDATIONS, 3. SELECTION OF PILE FOUNDATIONS.
Book Synopsis Soil Dynamics and Foundation Modeling by : Junbo Jia
Download or read book Soil Dynamics and Foundation Modeling written by Junbo Jia and published by Springer. This book was released on 2017-11-26 with total page 740 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a comprehensive topical overview on soil dynamics and foundation modeling in offshore and earthquake engineering. The spectrum of topics include, but is not limited to, soil behavior, soil dynamics, earthquake site response analysis, soil liquefactions, as well as the modeling and assessment of shallow and deep foundations. The author provides the reader with both theory and practical applications, and thoroughly links the methodological approaches with engineering applications. The book also contains cutting-edge developments in offshore foundation engineering such as anchor piles, suction piles, pile torsion modeling, soil ageing effects and scour estimation. The target audience primarily comprises research experts and practitioners in the field of offshore engineering, but the book may also be beneficial for graduate students.
Book Synopsis An Introduction to Deep Foundations for Professional Engineers by : J. Paul Guyer, P.E., R.A.
Download or read book An Introduction to Deep Foundations for Professional Engineers written by J. Paul Guyer, P.E., R.A. and published by Guyer Partners. This book was released on 2023-01-21 with total page 51 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introductory technical guidance for civil engineers, structural engineers, geotechnical engineers and construction managers interested in foundations for buildings and structures. Here is what is discussed: 1. GENERAL, 2. FLOATING FOUNDATIONS, 3. SETTLEMENTS OF COMPENSATED FOUNDATIONS, 4. UNDERPINNING, 5. EXCAVATION PROTECTION, 6. DRILLED PIERS, 7. FOUNDATION SELECTION CONSIDERATIONS, 8. FOUNDATION DESIGN IN COLD REGIONS
Book Synopsis Analysis and Design of Shallow and Deep Foundations by : Lymon C. Reese
Download or read book Analysis and Design of Shallow and Deep Foundations written by Lymon C. Reese and published by John Wiley & Sons. This book was released on 2005-11-25 with total page 608 pages. Available in PDF, EPUB and Kindle. Book excerpt: One-of-a-kind coverage on the fundamentals of foundation analysis and design Analysis and Design of Shallow and Deep Foundations is a significant new resource to the engineering principles used in the analysis and design of both shallow and deep, load-bearing foundations for a variety of building and structural types. Its unique presentation focuses on new developments in computer-aided analysis and soil-structure interaction, including foundations as deformable bodies. Written by the world's leading foundation engineers, Analysis and Design of Shallow and Deep Foundations covers everything from soil investigations and loading analysis to major types of foundations and construction methods. It also features: * Coverage on computer-assisted analytical methods, balanced with standard methods such as site visits and the role of engineering geology * Methods for computing the capacity and settlement of both shallow and deep foundations * Field-testing methods and sample case studies, including projects where foundations have failed, supported with analyses of the failure * CD-ROM containing demonstration versions of analytical geotechnical software from Ensoft, Inc. tailored for use by students in the classroom
Book Synopsis An Introduction to Deep Foundations and Sheet-piling by : Donovan Henry Lee
Download or read book An Introduction to Deep Foundations and Sheet-piling written by Donovan Henry Lee and published by . This book was released on 1961 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis An Introduction to Deep Foundations for Professional Engineers by : J Paul Guyer
Download or read book An Introduction to Deep Foundations for Professional Engineers written by J Paul Guyer and published by Independently Published. This book was released on 2023-01-21 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introductory technical guidance for civil engineers, structural engineers, geotechnical engineers and construction managers interested in foundations for buildings and structures. Here is what is discussed: 1. GENERAL, 2. FLOATING FOUNDATIONS, 3. SETTLEMENTS OF COMPENSATED FOUNDATIONS, 4. UNDERPINNING, 5. EXCAVATION PROTECTION, 6. DRILLED PIERS, 7. FOUNDATION SELECTION CONSIDERATIONS, 8. FOUNDATION DESIGN IN COLD REGIONS
Book Synopsis Basics of Foundation Design by : Bengt Fellenius
Download or read book Basics of Foundation Design written by Bengt Fellenius and published by Lulu.com. This book was released on 2017-03-17 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: The "Red Book" presents a background to conventional foundation analysis and design. The text is not intended to replace the much more comprehensive 'standard' textbooks, but rather to support and augment these in a few important areas, supplying methods applicable to practical cases handled daily by practising engineers and providing the basic soil mechanics background to those methods. It concentrates on the static design for stationary foundation conditions. Although the topic is far from exhaustively treated, it does intend to present most of the basic material needed for a practising engineer involved in routine geotechnical design, as well as provide the tools for an engineering student to approach and solve common geotechnical design problems.
Book Synopsis Introduction to Deep Learning by : Eugene Charniak
Download or read book Introduction to Deep Learning written by Eugene Charniak and published by MIT Press. This book was released on 2019-01-29 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: A project-based guide to the basics of deep learning. This concise, project-driven guide to deep learning takes readers through a series of program-writing tasks that introduce them to the use of deep learning in such areas of artificial intelligence as computer vision, natural-language processing, and reinforcement learning. The author, a longtime artificial intelligence researcher specializing in natural-language processing, covers feed-forward neural nets, convolutional neural nets, word embeddings, recurrent neural nets, sequence-to-sequence learning, deep reinforcement learning, unsupervised models, and other fundamental concepts and techniques. Students and practitioners learn the basics of deep learning by working through programs in Tensorflow, an open-source machine learning framework. “I find I learn computer science material best by sitting down and writing programs,” the author writes, and the book reflects this approach. Each chapter includes a programming project, exercises, and references for further reading. An early chapter is devoted to Tensorflow and its interface with Python, the widely used programming language. Familiarity with linear algebra, multivariate calculus, and probability and statistics is required, as is a rudimentary knowledge of programming in Python. The book can be used in both undergraduate and graduate courses; practitioners will find it an essential reference.
Book Synopsis Load and Resistance Factor Design (LRFD) for Deep Foundations by : Samuel G. Paikowsky
Download or read book Load and Resistance Factor Design (LRFD) for Deep Foundations written by Samuel G. Paikowsky and published by Transportation Research Board. This book was released on 2004 with total page 87 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction and research approach -- Findings -- Interpretation, appraisal, and applications -- Conclusions and suggested research -- Bibliography -- Appendixes.
Book Synopsis Foundations of Machine Learning, second edition by : Mehryar Mohri
Download or read book Foundations of Machine Learning, second edition written by Mehryar Mohri and published by MIT Press. This book was released on 2018-12-25 with total page 505 pages. Available in PDF, EPUB and Kindle. Book excerpt: A new edition of a graduate-level machine learning textbook that focuses on the analysis and theory of algorithms. This book is a general introduction to machine learning that can serve as a textbook for graduate students and a reference for researchers. It covers fundamental modern topics in machine learning while providing the theoretical basis and conceptual tools needed for the discussion and justification of algorithms. It also describes several key aspects of the application of these algorithms. The authors aim to present novel theoretical tools and concepts while giving concise proofs even for relatively advanced topics. Foundations of Machine Learning is unique in its focus on the analysis and theory of algorithms. The first four chapters lay the theoretical foundation for what follows; subsequent chapters are mostly self-contained. Topics covered include the Probably Approximately Correct (PAC) learning framework; generalization bounds based on Rademacher complexity and VC-dimension; Support Vector Machines (SVMs); kernel methods; boosting; on-line learning; multi-class classification; ranking; regression; algorithmic stability; dimensionality reduction; learning automata and languages; and reinforcement learning. Each chapter ends with a set of exercises. Appendixes provide additional material including concise probability review. This second edition offers three new chapters, on model selection, maximum entropy models, and conditional entropy models. New material in the appendixes includes a major section on Fenchel duality, expanded coverage of concentration inequalities, and an entirely new entry on information theory. More than half of the exercises are new to this edition.
Book Synopsis Deep Foundations on Bored and Auger Piles - BAP V by : William F. Van Impe
Download or read book Deep Foundations on Bored and Auger Piles - BAP V written by William F. Van Impe and published by CRC Press. This book was released on 2008-08-20 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although progressing very well over the last years, the design criteria for bored and auger piles are still not fully under control and in acceptable synergism with the real pile foundation behaviour. Although there has been a lot of research in the past years worldwide on deep foundation engineering, the strong and competitive market ha
Book Synopsis Design of Pile Foundations in Liquefiable Soils by : Gopal Madabhushi
Download or read book Design of Pile Foundations in Liquefiable Soils written by Gopal Madabhushi and published by World Scientific. This book was released on 2010 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pile foundations are the most common form of deep foundations that are used both onshore and offshore to transfer large superstructural loads into competent soil strata. This book provides many case histories of failure of pile foundations due to earthquake loading and soil liquefaction. Based on the observed case histories, the possible mechanisms of failure of the pile foundations are postulated. The book also deals with the additional loading attracted by piles in liquefiable soils due to lateral spreading of sloping ground. Recent research at Cambridge forms the backbone of this book with the design methodologies being developed directly based on quantified centrifuge test results and numerical analysis.The book provides designers and practicing civil engineers with a sound knowledge of pile behaviour in liquefiable soils and easy-to-use methods to design pile foundations in seismic regions. For graduate students and researchers, it brings together the latest research findings on pile foundations in a way that is relevant to geotechnical practice.
Book Synopsis Deep Learning for Coders with fastai and PyTorch by : Jeremy Howard
Download or read book Deep Learning for Coders with fastai and PyTorch written by Jeremy Howard and published by O'Reilly Media. This book was released on 2020-06-29 with total page 624 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala
