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Elsevier

Books in Physical sciences and engineering

  • Reliability Assessment of Flow Networks and Industrial Systems

    Bridging Theory and Applications
    • 1st Edition
    • Amit Kumar + 2 more
    • English
    Reliability Assessment of Flow Networks and Industrial Systems: Bridging Theory and Applications explores real-life flow networks and industrial systems, employing various methods, including both exact and approximation techniques, to assess the reliability of these systems. Through numerous examples, the book explains algorithms, ensuring readers gain a deep understanding of the discussed approaches. The complexity results for these algorithms are computed and compared with alternative methods. Furthermore, the book presents experimental results tied to specific methods, providing a comprehensive and practical understanding throughout.

  • Advanced Mechanics of Solids and Structures

    • 1st Edition
    • Dimitrios G. Pavlou
    • English
    Advanced Mechanics of Solids and Structures provides the classic methods that are essential for a wider audience, but also the advanced techniques based on mechanical behavior, material characterization and anisotropic elasticity with applications to composite materials.This title provides deep insight on important topics, such as the theory of beams with composite cross sections, slender beams, plates on elastic foundation, Airy’s stress functions, contact stresses and the elastic stability of a variety of structural members.Mathematical tools, along with advanced methods of integral transforms are provided so the reader can follow along and apply learning.Therefore, not only is this an essential resource for BSc, MSc, PhD level students, but also a practical guide for researchers, consultants and industrial engineers in the field of mechanical, civil, and structural engineering.

  • INTELLIGENT FAULT DIAGNOSIS AND PROGNOSIS FOR INDUSTRIAL SYSTEMS

    CROSS-DOMAIN, ZERO-SAMPLE, AND DEGRADATION MODELING METHODS
    • 1st Edition
    • Hongpeng Yin + 2 more
    • English
    Industrial Fault Diagnosis and Remaining Useful Life Prediction: Cross-Domain, Zero-Sample, and Degradation Modeling Methods introduces zero-sample learning methods that enable fault diagnosis and Predict Remaining Useful Life (RUL) without the need for labelled fault data. This is particularly valuable in industrial settings where labelled data is scarce or unavailable. Offers step-by-step guidance on implementing zero-shot learning models using real industrial data, reducing the learning curve for practitioners; includes real-world industrial case studies to demonstrate the application of zero-sample learning techniques in various industries, such as manufacturing, energy, and transportation. Such case studies provide readers with actionable insights and practical solutions. The book covers advanced methodologies for predicting the remaining useful life of industrial equipment, supporting readers in optimizing maintenance schedules, reducing downtime and extending the lifespan of critical assets. Covers state-of-the-art algorithms, including deep learning, transfer learning and domain adaptation, tailored for zero-sample scenarios. These tools empower readers to develop robust fault diagnosis and RUL prediction systems, enhancing predictive maintenance capabilities and ensuring the reliability of industrial systems.

  • Mechanics of Materials

    An Introduction to the Mechanics of Elastic and Plastic Deformation of Solids and Structural Materials
    • 4th Edition
    • Vadim Silberschmidt + 1 more
    • English
    Mechanics of Materials: An Introduction to the Mechanics of Elastic and Plastic Deformation of Solids and Structural Materials, 4th Edition covers the behaviors of materials and structures under various loads, the ways in which they react to applied forces, the resulting deflections, and the stresses and strains that need to be considered when designing a mechanical component. It begins with an introduction to the concepts of stress, strain, shear force, and bending moments, then progresses to an examination of bending, shear, and torsion in elements such as beams, cylinders, shells, and springs. A simple treatment of complex stress and strain leads to a study of the theories of elastic failure and an introduction to the experimental methods of stress and strain analysis. Building on those fundamentals, the book then extends the scope of the materials covered into more complex areas such as unsymmetrical bending, loading and deflection of struts, rings, discs, cylinder plates, diaphragms, and thin walled sections. The finite element method, and more advanced topics such as contact and residual stresses, stress concentrations, fatigue, and creep and fracture are also covered. Each chapter contains a summary of the essential formulae developed in the chapter, as well as a large number of worked examples which progress in level of difficulty. Additionally, each chapter concludes with an extensive selection of problems for solving by the reader.

  • Multidimensional Signal Processing

    • 1st Edition
    • Volume 54
    • English
    Multidimensional Signal Processing, Volume 54 in the Handbook of Statistics series is dedicated to presenting the latest developments and methodologies in multidimensional signal processing. The book aims to provide a comprehensive overview of the theories, models, and methods that form the foundation of this field. Chapters in this new release include Robust Parameter Estimation of Two Dimensional Chirp Model, Computability Theory for Multidimensional Signal Processing, Tensor signal processing, Spectral compressed sensing by structured matrix optimization methods, Space-time imaging, Hypercomplex Widely Linear Processing, and much more. The book's chapters are meticulously curated to offer detailed, educational content rather than conventional journal-style articles.Other chapters cover Hypercomplex phase retrieval, Hypercomplex widely linear estimation, MIMO radar signal processing, Computational lidar, Signal processing applications of higher-dimensional graphs, Space-Time Radio Signal Processing by Photonic Upconversion, Computational imaging, and Topology identification and learning over graphs using multi-dimensional data.

  • The Governance of Artificial Intelligence

    • 1st Edition
    • Tshilidzi Marwala
    • English
    The Governance of Artificial Intelligence provides an essential approach to AI governance, including proactive and comprehensive strategies that efficiently balance innovation and ethical concerns. The book prioritizes social welfare and upholds human rights by maximizing the benefits of AI while reducing its negative aspects. Sections address the principles that govern artificial intelligence, data-related topics, AI algorithms, the issue of computing, applications, and AI governance. Throughout each section, the idea that it is essential to implement a versatile governance structure that incorporates several fields of study and encourages diversity is reinforced. Additionally, utilizing existing regulatory frameworks, ethical standards, and industry benchmarks is essential. Moreover, the book maintains that it is crucial to integrate cooperation between governments, economic organizations, civil society, and the academic community under a multi-stakeholder framework to promote transparency, accountability, and public trust in AI systems. Because of the fast pace of technological progress, the opaqueness of AI algorithms, worries about bias and impartiality, the requirement for accountability in AI-based decisions, and the global nature of AI development and deployment, it is imperative to cultivate global cooperation in regulating AI as its impacts extend beyond national boundaries. AI governance involves establishing worldwide norms and standards that encourage coordinating governance efforts while recognizing cultural and geographical differences.

  • Predictive Modeling in Polymer Science

    Properties and Performance
    • 1st Edition
    • Mohammad Hossein Keshavarz
    • English
    Predictive Modeling in Polymer Science: Properties and Performance introduces the latest methods for predicting polymer properties and addressing cost-effectiveness and desirable properties for product design and production. The book discusses a range of prediction methods and models, providing a comprehensive overview of polymer behaviors and properties essential for material performance, such as flammability properties, solubility, intrinsic viscosity, glass transition temperatures, and refractive index. Readers will gain a deep understanding of predictive modeling techniques that enable the design of polymers with desired properties, saving time and resources. This book provides a comprehensive guide for scientists, engineers, and industry professionals interested on predicting and optimizing polymer properties for material design.

  • Electrochemical Power Sources: Fundamentals, Systems, and Applications

    Simulation Models of Secondary Batteries: From Quantum Physics to Techno-economic Scale
    • 1st Edition
    • Julia Kowal + 1 more
    • English
    Electrochemical Power Sources: Fundamentals, Systems, and Applications: Simulation Models of Secondary Batteries: From Quantum Physics to Techno-economic Scale gives an overview of the different modeling approaches for battery simulation models used for different purposes, such as battery pack design or state of charge estimation. Solutions for different applications are presented, and a classification into electrical, thermal, aging models is given, along with degree of precision ranging from physico-chemical, over impedance based to energy flow or empirical models with their specific advantages and disadvantages.In applications such as a vehicle energy management, it is important to know the state of the battery, e.g., what is the remaining driving range or when should the battery be replaced.

  • Artificial Intelligence for Computational Fluid Dynamics

    • 1st Edition
    • Kamarul Arifin Ahmad + 2 more
    • English
    Artificial Intelligence for Computational Fluid Dynamics offers a groundbreaking exploration of how high-performance computing and artificial intelligence (AI) revolutionize computational fluid dynamics (CFD). Designed for students and researchers alike, this book consolidates information on machine learning, deep learning, and neural networking, demonstrating their transformative potential in CFD. With an emphasis on both the current state of the field and future possibilities, the text serves as a vital resource for anyone looking to understand and leverage AI in fluid dynamics. This work not only educates but also inspires innovation within a rapidly evolving scientific landscape.The book delves into future research directions, aligning with the newly amended CFD vision for 2030, and underscores the importance of continued development. It introduces scientific tools and software integral to AI-driven CFD applications, ensuring that readers gain practical knowledge alongside theoretical insights. Authored by renowned experts with extensive teaching and research experience, this work stands at the intersection of cutting-edge technology and academic rigor, making it an indispensable reference for anyone in the field.

  • Nanocellulose

    Harnessing Sustainability from Biomass to Biocomposites
    • 1st Edition
    • S.M. Sapuan + 2 more
    • English
    Nanocellulose: Harnessing Sustainability from Biomass to Biocomposites presents a detailed review of the latest advances in nanocellulose-reinfo... biocomposites, with a particular emphasis on their processing, properties, and performance. Through detailed case studies, the book's chapters cover the conceptual design process, including materials selection, fabrication processes, characterization techniques, and innovations in applications and performance. Sections also emphasize the need for meticulous design and tailored process development, which are crucial for selected applications. In addition, the book includes a dedicated chapter on the market value of the global nanocellulose industry and assesses its contributions to sustainability. The mechanical, thermal, and electrical performance properties of these materials are also discussed in detail, as is the structure-property relationship. With its focus on idea generation and informed decision-making, this book will serve as a valuable reference resource for all individuals engaged in this area of research.

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