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Books in Civil and structural engineering

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Sustainability and Toxicity of Building Materials

  • 1st Edition
  • February 10, 2024
  • Emina K. Petrović + 3 more
  • English
  • Paperback
    9 7 8 - 0 - 3 2 3 - 9 8 3 3 6 - 5
  • eBook
    9 7 8 - 0 - 3 2 3 - 9 8 3 5 6 - 3
Sustainability and Toxicity of Building Materials: Manufacture, Use and Disposal Stages provides a review of toxicity impacts from building materials, including the consideration of the toxicity in the extraction and manufacture of the materials and eventual dismantling and disposal. This book also offers the potential to stimulate future developments in this area, both in terms of knowledge-building and methods for future research. With the increasing emphasis on sustainable construction, it has become important to better understand the impacts of common materials. Civil and structural engineers, postgraduates, researchers as well as architects will find this book to be useful in selecting sustainable building materials.While many building and furnishing materials are safe to use, in recent decades, some have had to be redesigned due to recognition that they contained problem chemicals like formaldehyde. Unfortunately, there is still limited understanding of the toxic impacts of many synthetic chemicals which means that the risks in this area are not well recognized. With increasing interest in using limited resources more sustainably, definitions of what is sustainable should be expanded to move from the focus on energy and carbon impacts to also include more explicit consideration of toxicity impacts.

Innovative Bridge Structures Based on Ultra-High Performance Concrete (UHPC)

  • 1st Edition
  • January 17, 2024
  • Xudong Shao
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 5 8 6 5 - 0
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 5 8 6 6 - 7
Innovative Bridge Structures Based on Ultra-High Performance Concrete (UHPC): Theory, Experiments and Applications introduces more than a dozen innovative bridge structures and engineering applications developed by the author's team based on UHPC.  As the new bridge structure developed by UHPC can make outstanding contributions to the realization of the "carbon peaking and carbon neutrality goals" and "sustainable development," and since recent studies have shown that the application of UHPC is expected to greatly reduce the amount of materials and carbon emissions and prolong the life of the structure, this book is an ideal update on the topic. For example, after calculation, when UHPC is applied to the arch bridge with compression as the main stress characteristic, compared with the steel arch bridge, the dead weight of the UHPC arch bridge is basically the same, and the cost and carbon emission are only 34% and 20% of the latter. Ultra-high performance concrete (UHPC) as a new generation of civil structural materials has the characteristics of high strength, high toughness and high durability. Through the collaborative innovation of new materials and new structures, the application of UHPC in bridge engineering is expected to achieve the goal of economical, environmentally-friendly, durable and high performance of the main structure.

Machine Learning Applications in Industrial Solid Ash

  • 1st Edition
  • December 1, 2023
  • Chongchong Qi + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 5 5 2 4 - 6
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 5 5 2 5 - 3
Machine Learning Applications in Industrial Solid Ash begins with fundamentals in solid ash, covering the status of solid ash generation and management. The book moves on to foundational knowledge on ML in solid ash management, which provides a brief introduction of ML for solid ash applications. The reference then goes on to discuss ML approaches currently used to address problems in solid ash management and recycling, including solid ash generation, clustering analysis, origin identification, reactivity prediction, leaching potential modelling and metal recovery evaluation, etc. Finally, potential future trends and challenges in the field are discussed.Offering the ability to process large or complex datasets, machine learning (ML) holds huge potential to reshape the whole status for solid ash management and recycling. This book is the first published book about ML in solid ash management and recycling. It highlights fundamental knowledge and recent advances in this topic, offering readers new insight into how these tools can be utilized to enhance their own work.

Environmental Consequences and Management of Coastal Industries

  • 1st Edition
  • Volume 3
  • November 11, 2023
  • Michael Elliott + 1 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 3 7 5 2 - 5
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 3 7 5 3 - 2
Environmental Consequences and Management of Coastal Industries: Terms and Concepts covers the engineering, natural and social sciences aspects related to coastal power plants and their operation and management. The book gives background to featured problems and solutions, making it relevant to power plants in all global situations and giving practitioners what they need to assess environmental consequences. In addition, the book indicates, defines and illustrates the terms and concepts used worldwide. This is important as engineers and scientists often have an imperfect understanding of the requirements of each other, and similar (in some cases identical) terms may have very different meanings. Users will find this to be a simple and accessible guide to the terminology used and concepts covered. Individual entries are complete in themselves, but still cross referenced to other entries where additional information may be found. This provides quick-and-easy access to the required information.

Data Analysis in Pavement Engineering

  • 1st Edition
  • November 6, 2023
  • Qiao Dong + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 5 9 2 8 - 2
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 5 9 2 9 - 9
Data Analysis in Pavement Engineering: Methodologies and Applications introduces thetheories and methods as well as definitions, principles, and algorithms of data analysis appliedin pavement and transportation infrastructure analysis, tests, maintenance, and operation.This book provides case studies that demonstrate how these methods can be applied tosolve problems in pavement engineering. Through these real-life examples, readers can gaina better understanding of how to utilize these data analysis techniques effectively.Data Analysis in Pavement Engineering: Methodologies and Applications serves as areference for engineers or a textbook for graduate and senior undergraduate students indisciplines related to transportation infrastructure.

Recent Trends in Cold-Formed Steel Construction

  • 2nd Edition
  • November 4, 2023
  • Cheng Yu
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 9 0 5 5 - 1
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 9 0 5 6 - 8
Recent Trends in Cold-Formed Steel Construction, Second Edition focuses on the application and use of this important construction material. In this updated edition, new chapters take on these developments, offering updates on cutting-edge new technologies and design methods for using cold-formed steel as a structural material and providing technical guidance on how to design and build sustainable and energy-efficient cold-formed steel buildings. Sections introduce codes, specifications and design methods, provide computational analysis of cold-formed steel structures, examine the structural performance of cold-formed steel buildings, and review thermal performance, acoustic performance, fire protection, floor vibrations and blast resistance. Over the last few years, there has been major breakthroughs for cold-formed steel design with modular building applications now becoming more widely accepted. Other scientific developments include research on system reliability applications, AI machine learning, and the use of high strength steel, as well as new connection methods and changes in DSM codes.

Interpretable Machine Learning for the Analysis, Design, Assessment, and Informed Decision Making for Civil Infrastructure

  • 1st Edition
  • October 18, 2023
  • M. Z. Naser
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 2 4 0 7 3 - 1
  • eBook
    9 7 8 - 0 - 1 2 - 8 2 4 0 7 4 - 8
Interpretable Machine Learning for the Analysis, Design, Assessment, and Informed Decision Making for Civil Infrastructure highlights the growing trend of fostering machine learning to realize contemporary, smart, and safe infrastructure. This volume delves into the latest advancements in machine learning and artificial intelligence, providing readers with practical insights into their applications in the analysis, design, and assessment of civil infrastructure. From the innovative use of Generative Adversarial Networks in the design of shear wall structures to the application of deep learning for damage inspection of concrete structures, each chapter offers a unique perspective on the integration of cutting-edge technology in the field. Explore the potential of AI-driven fire safety design for smart buildings, the challenges and promises of large-scale evacuation modeling, and the use of machine learning classifiers for evaluating liquefaction potential. The book also features an in-depth discussion on explainable machine learning models for predicting the axial capacity of strengthened CFST columns and the development of spalling detection techniques using deep learning. Whether you are a civil engineer, researcher, or industry professional, this book is an invaluable resource that will equip you with the knowledge and tools to revolutionize civil infrastructure design and management. This book presents innovative research results supplemented with case studies from leading researchers in this dynamic and emerging field to be used as benchmarks to carry out future experiments and/or facilitate the development of future experiments and advanced numerical models. The book is delivered as a guide for a wide audience, including senior postgraduate students, academic and industrial researchers, materials scientists, and practicing engineers working in civil, environmental, and mechanical engineering.

Construction of Earthquake-Resistant Concrete and Steel Structures

  • 1st Edition
  • October 11, 2023
  • Moosa Mazloom
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 3 6 6 3 - 4
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 3 6 6 4 - 1
Impressive engineering advances have occurred that can curb the impact of seismic events on residential properties, commercial edifices, architectural heritage, and infrastructure. Written by a university professor with decades of on-site experience, Construction of Earthquake-Resistant Concrete and Steel Structures offers up-to-date information and technical competence with the aim of supporting an understanding of fundamental concepts for concrete and steel structures, shell elements, and reinforcement detailing. The volume is an invaluable resource for students, researchers, and early-career practicing professionals to also learn about construction issues and how to solve practical challenges while ensuring that building codes (ACI, AISC, ANSI, ASCE, RCSC, and many more) and design standards’ requirements are upheld.

Machine Learning Applications in Civil Engineering

  • 1st Edition
  • September 29, 2023
  • Kundan Meshram
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 5 3 6 4 - 8
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 5 3 6 3 - 1
Machine Learning Applications in Civil Engineering discusses machine learning and deep learning models for different civil engineering applications. These models work for stochastic methods wherein internal processing is done using randomized prototypes. The book explains various machine learning model designs that will assist researchers to design multi domain systems with maximum efficiency. It introduces Machine Learning and its applications to different Civil Engineering tasks, including Basic Machine Learning Models for data pre-processing, models for data representation, classification models for Civil Engineering Applications, Bioinspired Computing models for Civil Engineering, and their case studies. Using this book, civil engineering students and researchers can deep dive into Machine Learning, and identify various solutions to practical Civil Engineering tasks.

Tropical Cyclones

  • 1st Edition
  • Volume 4
  • September 22, 2023
  • Roger K. Smith + 1 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 3 4 4 9 - 4
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 3 4 5 0 - 0
Tropical cyclones are a major threat to life and property, even in the formative stages of their development. They include a number of different hazards that individually can cause significant impacts, such as extreme winds, storm surge, flooding, tornadoes, and lightning. Tropical Cyclones: Observations and Basic Processes provides a modern overview of the theory and observations of tropical cyclone structure and behavior.The book begins by summarizing key observations of the structure, evolution, and formation of tropical cyclones. It goes on to develop a theoretical foundation for a basic understanding of tropical cyclone behavior during the storm’s life cycle. Horizontally two-dimensional dynamics of vortex motion and other non-axisymmetric features are considered first before tackling the axisymmetric balance dynamics involving the overturning circulation. Following a review of moist convective processes, later chapters focus mainly on a range of three-dimensional aspects of the tropical cyclone life cycle. Building from first principles, the book provides a state-of-the-art summary of the fundamentals of tropical cyclones aimed at advanced undergraduates, graduate students, tropical meteorologists, and researchers.Members of the Royal Meteorological Society are eligible for a 35% discount on all Developments in Weather and Climate Science series titles. See the RMetS member dashboard for the discount code.