Articles by "Civil Engineering"

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Krzysztof Schabowicz ... 576 pages - Language: ‎English - Publisher: Mdpi AG; (July, 2023) - ISBN-10: 3036578889 - ISBN-13: 978-3036578880.


This book was proposed and organized as a means to present recent developments in the field of testing of materials and elements in civil engineering. For this reason, the articles highlighted in this editorial relate to different aspects of this topic, from building materials to building structures. The current trend in the development of materials testing in civil engineering is mainly concerned with the detection of flaws and defects in elements and structures using destructive, semidestructive, and nondestructive testing.

Volume 1 + Volume 2

Rakesh K. Jain, Prashant Shantaram Dhotre, Deepak Tatyasaheb Mane, Parikshit Narendra Mahalle - 251 pages - Language: ‎English - Publisher: ‎CRC Press; (May, 2023).


This book explains use of data science-based techniques for modeling and providing optimal solutions to complex problems in civil engineering. It discusses civil engineering problems like air, water and land pollution, climate crisis, transportation infrastructures, traffic and travel modes, mobility services, and so forth. Divided into two sections, the first one deals with the basics of data science and essential mathematics while the second section covers pertinent applications in structural and environmental engineering, construction management, and transportation.

Features: Details information on essential mathematics required to implement civil engineering applications using data science techniques. + Discusses broad background of data science and its fundamentals. + Focusses on structural engineering, transportation systems, water resource management, geomatics, and environmental engineering. + Includes python programming libraries to solve complex problems. + Addresses various real-world applications of data science based civil engineering use cases.

This book aims at senior undergraduate students in Civil Engineering and Applied Data Science.

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