Machine Learning in Geomechanics 1
Machine Learning in Geomechanics 1

Author: Ioannis Stefanou

Publisher: John Wiley & Sons

Published: 2024-10-10

Total Pages: 276

ISBN-13: 1394325622

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Machine learning has led to incredible achievements in many different fields of science and technology. These varied methods of machine learning all offer powerful new tools to scientists and engineers and open new paths in geomechanics. The two volumes of Machine Learning in Geomechanics aim to demystify machine learning. They present the main methods and provide examples of its applications in mechanics and geomechanics. Most of the chapters provide a pedagogical introduction to the most important methods of machine learning and uncover the fundamental notions underlying them. Building from the simplest to the most sophisticated methods of machine learning, the books give several hands-on examples of coding to assist readers in understanding both the methods and their potential and identifying possible pitfalls.

Machine Learning in Geomechanics 2
Machine Learning in Geomechanics 2

Author: Ioannis Stefanou

Publisher: John Wiley & Sons

Published: 2024-10-11

Total Pages: 308

ISBN-13: 1394325657

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Machine learning has led to incredible achievements in many different fields of science and technology. These varied methods of machine learning all offer powerful new tools to scientists and engineers and open new paths in geomechanics. The two volumes of Machine Learning in Geomechanics aim to demystify machine learning. They present the main methods and provide examples of its applications in mechanics and geomechanics. Most of the chapters provide a pedagogical introduction to the most important methods of machine learning and uncover the fundamental notions underlying them. Building from the simplest to the most sophisticated methods of machine learning, the books give several hands-on examples of coding to assist readers in understanding both the methods and their potential and identifying possible pitfalls.

Challenges and Innovations in Geomechanics
Challenges and Innovations in Geomechanics

Author: Marco Barla

Publisher: Springer Nature

Published: 2022-07-30

Total Pages: 597

ISBN-13: 3031128516

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This book gathers the latest advances, innovations, and applications in the field of computational geomechanics, as presented by international researchers and engineers at the 16th International Conference of the International Association for Computer Methods and Advances in Geomechanics (IACMAG), held in Turin, Italy on August 30 - September 2, 2022. Contributions include a wide range of topics in geomechanics such as: laboratory and field testing, constitutive modelling, monitoring and remote sensing, multiphase modelling, reliability and risk analysis, surface structures, deep structures, dams and earth structures, natural slopes, mining engineering, earthquake and dynamics, soil-atmosphere interaction, ice mechanics, landfills and waste disposal, gas and petroleum engineering, geothermal energy, offshore technology, energy geostructures and computational rail geotechnics.

A Primer on Machine Learning in Subsurface Geosciences
A Primer on Machine Learning in Subsurface Geosciences

Author: Shuvajit Bhattacharya

Publisher: Springer

Published: 2021-06-07

Total Pages: 170

ISBN-13: 9783030717674

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This book provides readers with a timely review and discussion of the success, promise, and perils of machine learning in geosciences. It explores the fundamentals of data science and machine learning, and how their advances have disrupted the traditional workflows used in the industry and academia, including geology, geophysics, petrophysics, geomechanics, and geochemistry. It then presents the real-world applications and explains that, while this disruption has affected the top-level executives, geoscientists as well as field operators in the industry and academia, machine learning will ultimately benefit these users. The book is written by a practitioner of machine learning and statistics, keeping geoscientists in mind. It highlights the need to go beyond concepts covered in STAT 101 courses and embrace new computational tools to solve complex problems in geosciences. It also offers practitioners, researchers, and academics insights into how to identify, develop, deploy, and recommend fit-for-purpose machine learning models to solve real-world problems in subsurface geosciences.

Modeling in Geotechnical Engineering
Modeling in Geotechnical Engineering

Author: Pijush Samui

Publisher: Academic Press

Published: 2020-12-01

Total Pages: 518

ISBN-13: 0128218525

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Modeling in Geotechnical Engineering is a one stop reference for a range of computational models, the theory explaining how they work, and case studies describing how to apply them. Drawing on the expertise of contributors from a range of disciplines including geomechanics, optimization, and computational engineering, this book provides an interdisciplinary guide to this subject which is suitable for readers from a range of backgrounds. Before tackling the computational approaches, a theoretical understanding of the physical systems is provided that helps readers to fully grasp the significance of the numerical methods. The various models are presented in detail, and advice is provided on how to select the correct model for your application. - Provides detailed descriptions of different computational modelling methods for geotechnical applications, including the finite element method, the finite difference method, and the boundary element method - Gives readers the latest advice on the use of big data analytics and artificial intelligence in geotechnical engineering - Includes case studies to help readers apply the methods described in their own work

Soft Computing Techniques in Engineering, Health, Mathematical and Social Sciences
Soft Computing Techniques in Engineering, Health, Mathematical and Social Sciences

Author: Pradip Debnath

Publisher: CRC Press

Published: 2021-07-15

Total Pages: 232

ISBN-13: 1000409813

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Soft computing techniques are no longer limited to the arena of computer science. The discipline has an exponentially growing demand in other branches of science and engineering and even into health and social science. This book contains theory and applications of soft computing in engineering, health, and social and applied sciences. Different soft computing techniques such as artificial neural networks, fuzzy systems, evolutionary algorithms and hybrid systems are discussed. It also contains important chapters in machine learning and clustering. This book presents a survey of the existing knowledge and also the current state of art development through original new contributions from the researchers. This book may be used as a one-stop reference book for a broad range of readers worldwide interested in soft computing. In each chapter, the preliminaries have been presented first and then the advanced discussion takes place. Learners and researchers from a wide variety of backgrounds will find several useful tools and techniques to develop their soft computing skills. This book is meant for graduate students, faculty and researchers willing to expand their knowledge in any branch of soft computing. The readers of this book will require minimum prerequisites of undergraduate studies in computation and mathematics.

DSC/HISS Modeling Applications for Problems in Mechanics, Geomechanics, and Structural Mechanics
DSC/HISS Modeling Applications for Problems in Mechanics, Geomechanics, and Structural Mechanics

Author: Chandrakant S. Desai

Publisher: CRC Press

Published: 2023-11-30

Total Pages: 459

ISBN-13: 1000966801

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Understanding the mechanical behavior of solids and contacts (interfaces and joints) is vital for the analysis, design, and maintenance of engineering systems. Materials may simultaneously experience the effects of many factors such as elastic, plastic, and creep strains; different loading (stress) paths; volume change under shear stress; and microcracking leading to fracture and failure, strain softening, or degradation. Typically, the available models account for only one factor at a time; however, the disturbed state concept (DSC) with the hierarchical single-surface (HISS) plasticity is a unified modeling approach that can allow for numerous factors simultaneously, and in an integrated manner. DSC/HISS Modeling Applications for Problems in Mechanics, Geomechanics, and Structural Mechanics provides readers with comprehensive information including the basic concepts and applications for the DSC/HISS modeling regarding a wide range of engineering materials and contacts. Uniformity in format and content of each chapter will make it easier for the reader to appreciate the potential of using the DSC/HISS modeling across various applications. Features: • Presents a new and simplified way to learn characterizations and behaviors of materials and contacts under various conditions • Offers modeling applicable to several different materials including geologic (clays, sands, rocks), modified geologic materials (structured soils, overconsolidated soils, expansive soils, loess, frozen soils, chemically treated soils), hydrate-bearing sediments, and more.

Computational Geomechanics and Hydraulic Structures
Computational Geomechanics and Hydraulic Structures

Author: Sheng-Hong Chen

Publisher: Springer

Published: 2018-06-21

Total Pages: 908

ISBN-13: 9811081352

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This book presents recent research into developing and applying computational tools to estimate the performance and safety of hydraulic structures from the planning and construction stage to the service period. Based on the results of a close collaboration between the author and his colleagues, friends, students and field engineers, it shows how to achieve a good correlation between numerical computation and the actual in situ behavior of hydraulic structures. The book’s heuristic and visualized style disseminates the philosophy and road map as well as the findings of the research. The chapters reflect the various aspects of the three typical and practical methods (the finite element method, the block element method, the composite element method) that the author has been working on and made essential contributions to since the 1980s. This book is an advanced continuation of Hydraulic Structures by the same author, published by Springer in 2015.