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Elsevier

Books in Engineering and technology

The Engineering and Technology portfolio includes comprehensive overviews of all major research and practical developments in aerospace and automotive engineering, civil and environmental engineering, mechanical and industrial engineering, materials engineering, electrical engineering, communications engineering, and more. In-depth coverage, innovative state-of-the-art approaches, and real-world case studies provide valuable, actionable insights for researchers, applied engineers and students. The content in Elsevier's Engineering and Technology books program addresses core issues in industry and society, such as sustainability, the circular economy, AI, and automation.

  • Integrated Solutions for Multi-Hazard Resilient and Sustainable Buildings

    • 1st Edition
    • Simona Bianchi + 1 more
    • English
    Integrated Solutions for Multi-Hazard Resilient and Sustainable Buildings delves into innovative techniques and technological and digital methods that unlock the creation of the next generation of resilient and environmentally sustainable edifices. This multifaceted and multiskilled collaboration showcases the most recent scientific advancements in several disciplines such as structural engineering, facade engineering, building technology, materials science, and architecture to provide tailored solutions for a diverse range of audiences seeking conceptual frameworks, state-of-the-art coverage, and useful, real-world case studies that facilitate both understanding and applicability.Focusi... on multi-criteria undertakings that encompass technical, environmental, economic, and social factors, the book addresses the challenges of making more effective investment decisions for construction projects while also enabling the quantification of the benefits resulting from the adoption of integrated strategies to reduce overall potential losses in multi-hazard scenarios, including earthquakes, heatwaves, and flooding.

  • Deformation Processing of High Entropy Alloys

    • 1st Edition
    • Bharat Gwalani + 1 more
    • English
    Deformation Processing of High Entropy Alloys offers an in-depth exploration of the mechanical properties and processing methods of high entropy alloys (HEAs), covering topics such as microstructural evolution, deformation mechanisms, alloy composition, processing techniques, and various applications. The book provides an introduction to HEAs, outlining their differences from more traditional alloys before diving into more complex subjects such as their stability and metastability, their crystal structures, FCC- and BCC-based HEAs, as well as thermomechanical treatments and their mechanical properties. Deformation processing techniques, solid state processing methods, and additive manufacturing of HEAs are each discussed as well, as are modeling and simulation approaches. Finally, a broad range of applications and limitations for these cutting-edge materials are also covered.

  • Metal Plasticity

    Experimental Characterization and Constitutive Modeling
    • 1st Edition
    • Yanshan Lou
    • English
    Metal Plasticity: Experimental Characterization and Constitutive Modeling outlines the fundamentals of plastic deformation of metals, related constitutive modeling techniques, and how best to apply these modeling techniques. The book summarizes the plastic behaviors of metals based on experimental observations while also reviewing related constitutive models used to determine their plastic deformation, including isotropic yield functions, anisotropic yield functions, asymmetric yield functions, anisotropic hardening yield functions, and more. It demonstrates the yield surfaces of functions under 2D plane stress, 3D plane stress with shear stress effect, and 3D triaxial loading, amongst others.The development of different plasticity models, including their form, parameters, calibration, accuracy, advantages, and disadvantages are outlined as well, and the book also summarizes and compares various models, emphasizing their costs and user-friendliness, thus allowing readers to select the model that best meets their needs.

  • Material Corrosion and Degradation

    Challenges and Solutions for the Oil, Gas, and Process Industries
    • 1st Edition
    • Reza Javaherdashti
    • English
    Material Corrosion and Degradation: Challenges and Solutions for the Oil, Gas, and Process Industries outlines the causes and effects of commonly encountered corrosion and degradation issues specific to the oil, gas, and process industries. Sections introduce readers to the fundamental principles of both microbial induced corrosion (MIC) and microbial induced deterioration (MID), investigating different types of corrosion such as stress corrosion cracking and corrosion under insulation. From there, the book analyzes a number of challenges related to corrosion management, such as soil side corrosion in above ground storage tanks, corrosion in aromatic petrochemical plants, and pipeline corrosion management from design to operation.Following sections cover corrosion countermeasure strategies, such as effective material selection, corrosion behavior in complex concentrated alloys, and coatings and linings as corrosion prevention tools. The distinction between MIC, MID, and other types of corrosion is emphasized throughout.

  • Digital Technologies in Metal Casting

    Data Analytics, Simulation, Industry 4.0, and Artificial Intelligence
    • 1st Edition
    • Amit Sata + 2 more
    • English
    Digital Technologies in Metal Casting: Data Analytics, Simulation, Industry 4.0, and Artificial Intelligence focuses on integrating cutting-edge technology with metal casting, outlining simulation methods, data analytics, artificial intelligence, and other interactive and immersive technologies. The book starts with overviews of both metal casting and the technologies to be integrated before moving into chapters on the specific integration of those technologies into the metal casting process. The utilization of simulation, data analytics, artificial intelligence, cyber manufacturing, and more are highlighted, with each chapter covering specific use cases, commonly encountered challenges, and solutions for overcoming those challenges.

  • Sparse-Dirac Super-Resolution (S-Dirac SR) for High-Resolution Transmission Electron Microscopy Techniques

    • 1st Edition
    • Volume 240
    • English
    Sparse-Dirac Super-Resolution (S-Dirac SR) for High-Resolution Transmission Electron Microscopy Techniques, Volume 240 in the Advances in Imaging and Electron Physics series, continues the tradition of this long-standing publication in presenting authoritative reviews and advances in imaging science and electron physics. The series merges two influential serials—Advances in Electronics and Electron Physics and Advances in Optical and Electron Microscopy—and covers topics spanning electron device physics, particle optics, microlithography, image science, digital image processing, electromagnetic wave propagation, and electron microscopy.This volume focuses on the development and applications of the Sparse-Dirac super-resolution (S-Dirac SR) method for high-resolution transmission electron microscopy (HRTEM). Chapters present the historical context and motivations behind the method, followed by discussions of its physical principles, mathematical framework, and algorithmic implementation. Additional sections compare the S-Dirac approach with other state-of-the-art techniques and explore its practical applications in high-resolution electron microscopy. The volume concludes with perspectives on future developments and potential directions in super-resolution imaging methods.

  • Learning-Based Soft Sensing and Predictions for Process Industries

    Theory, Methodology, and Applications
    • 1st Edition
    • Hamid Reza Karimi + 1 more
    • English
    Learning-Based Soft Sensing and Predictions for Process Industries: Theory, Methodology and Applications covers prediction and soft sensing in industrial processes that are subject to specific challenges with AI-empowered learning algorithms. With the aid of a data-driven modeling strategy, the book explores the problems of industrial prediction and soft sensing and formulates a series of learning-based theory, methodologies, and applications. The book introduces the basics of prediction and soft sensing backgrounds, including different categories of prediction theory. Secondly, covers the foundations of machine learning methodologies, including supervised learning prediction, semi-supervised, and self-supervised prediction. Finally, the book examines novel learning-based models/architectures...

  • Ships in Waves

    Motions and Operational Impacts
    • 1st Edition
    • Milan Hofman
    • English
    Ships in Waves: Motions and Operational Impacts delivers a structured and in-depth exploration of the core theories and phenomena governing vessel interactions with wave environments. Progressing from fundamental concepts to elaborate formulations, the book supports gradual engagement with complex material, facilitating confident physical understanding. Topics include ship oscillations (both in calm water and under wave excitation), stochastic wave modeling, responses in regular and irregular seas, and the consequences of extreme motions—such as dynamic loads, rolling, slamming, and capsizing.Organized modularly, the contents allow selective study and targeted review based on the reader’s interest or specialization, uniquely bridging the divide between intricate technical knowledge and engineering application. In addition to the essential theoretical framework, cutting-edge advances and rarely covered aspects are also addressed, including wave energy converters and a critical review of the new IMO intact stability criteria.Designed to serve audiences in academic and research contexts, this authoritative volume is especially valuable not only for assessing motion characteristics but also for enhancing system reliability and informing future design strategies for vessels, offshore platforms, floating structures, and other marine installations that demand a nuanced balance of performance, safety, and sustainability.

  • Ground Penetrating Radar

    Theory and Practice
    • 2nd Edition
    • Erica Carrick Utsi
    • English
    Ground Penetrating Radar: Theory and Practice, Second Edition provides well-thought-out, fully updated, and expanded coverage of this NDT, trenchless technique for investigating the subsurface. Written by a recognized field specialist, the volume clearly explains not only how the technology works with introductions to the underlying physics and formation of signal patterning, but also spotlights how it can be successfully applied, including experiential insights into how parameters such as wavelength, attenuation (loss), environment, target size, and depth need proper consideration in any sampling strategy to obtain good survey results.Additional chapters explore a variety of methods for velocity calibration and suggest where they may be useful, review data processing, and address signal loss in challenging soil conditions and potential problem environments with a suite of useful resolution best practices. New to this edition are discussions on specialist GPR applications and state-of-the-art innovations (e.g., data digitization tools; machine learning, deep learning, artificial intelligence to improve detection and reliability in data interpretation; and robotization).

  • Physical Principles of Imaging in Medicine

    • 1st Edition
    • Adam W. Anderson + 3 more
    • English
    Medical Imaging: Mathematical and Physical Principles gives an introduction to the mathematical and physical concepts and principles that underlie modern radiological imaging techniques. It explains the basic phenomena and mathematical concepts that are central to the use of physical methods for image formation in biomedicine. By focusing on the physical and mathematical principles, it provides knowledge that will continue to hold true even as technological and other advances change the nature and detail of future medical imaging applications.Written as a pedagogic textbook explaining the principles rather than a technical manual describing imaging methods, Medical Imaging: Mathematical and Physical Principles is very suitable as a foundational reference for senior undergraduates, graduate students and researchers with a background in either biomedical engineering, engineering, applied physics, computer science, and mathematics. It will be a well-thumbed resource throughout a researcher’s career.

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