This book highlights the latest technologies and applications of Artificial Intelligence (AI) in the domain of construction engineering and management. The construction industry worldwide has been a late bloomer to adopting digital technology, where construction projects are predominantly managed with a heavy reliance on the knowledge and experience of construction professionals. AI works by combining large amounts of data with fast, iterative processing, and intelligent algorithms (e.g., neural networks, process mining, and deep learning), allowing the computer to learn automatically from patterns or features in the data. It provides a wide range of solutions to address many challenging construction problems, such as knowledge discovery, risk estimates, root cause analysis, damage assessment and prediction, and defect detection. A tremendous transformation has taken place in the past years with the emerging applications of AI. This enables industrial participants to operate projects more efficiently and safely, not only increasing the automation and productivity in construction but also enhancing the competitiveness globally.
This book highlights the latest technologies and applications of Artificial Intelligence (AI) in the domain of construction engineering and management. The construction industry worldwide has been a late bloomer to adopting digital technology, where construction projects are predominantly managed with a heavy reliance on the knowledge and experience of construction professionals. AI works by combining large amounts of data with fast, iterative processing, and intelligent algorithms (e.g., neural networks, process mining, and deep learning), allowing the computer to learn automatically from patterns or features in the data. It provides a wide range of solutions to address many challenging construction problems, such as knowledge discovery, risk estimates, root cause analysis, damage assessment and prediction, and defect detection. A tremendous transformation has taken place in the past years with the emerging applications of AI. This enables industrial participants to operate projects more efficiently and safely, not only increasing the automation and productivity in construction but also enhancing the competitiveness globally.
Biodiesel Soot: Tribology, Properties, and Formation covers the basic properties of biodiesel soot, focusing particularly on its tribological behaviors, dispersion characteristics, and techniques for controlling and altering its tribological and material behavior. The book begins with a concise overview of the fundamentals of the properties and preparation of biodiesel, including coverage of the processes involved in the formation of soot particulates, the influence of different fuels on formation, and the effects of different soot on air pollution, friction reduction, and wear resistance of lubricating oil. Other sections cover the influence of biodiesel soot on engine parts and combustion devices. This book will be of particular interest to graduate students and academic or industrial researchers in materials science, as well as mechanical, automotive and chemical engineering. Covers the tribology, morphology, composition, structure and dispersion of biodiesel soot in engines Guides problem-solving related to the effects of biodiesel soot on the tribological properties of lubricating oil Provides fundamental knowledge on the performance and preparation of biodiesel fuel Discusses the physical-chemical properties of biodiesel soot from the combustion of different fuels
The book is engineering oriented and covers a large variety of topics ranging from fundamental principles to performance evaluation and applications. It is written systematically and completely on the subject with a summary of state-of-the-art fuel cell technology, filling the need for a timely resource. This is a unique book serving academic researchers, engineers, as well as people working in the fuel cell industry. It is also of substantial interest to students, engineers, and scientists in mechanical engineering, chemistry and chemical engineering, electrochemistry, materials science and engineering, power generation and propulsion systems, and automobile engineering.
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