Machine-Learning-Aided Concrete Mixture Optimization

Junfei Zhang, Yongshun Zhang (Autoren)

Buch | Hardcover

280 Seiten

2025 | Unabridged edition
Cambridge Scholars Publishing (Verlag)
978-1-0364-5375-6 (ISBN)

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What if the future of construction could be redefined with just a few lines of code? Concrete, the cornerstone of modern infrastructure, is also one of the world's largest contributors to carbon emissions. Yet, optimizing its composition for strength, durability, cost-efficiency, and environmental sustainability has remained a challenge for decades. Enter machine learning—a game-changer in this age-old equation. This book is a groundbreaking exploration of how advanced data science techniques can revolutionize the design and production of concrete mixtures. In a world demanding greater efficiency and greener solutions, the stakes have never been higher.With years of experience and a passion for sustainable innovation, the authors bridge the gap between complex machine learning algorithms and practical engineering applications. Their insights draw from cutting-edge research at Hebei University of Technology, blending theoretical rigor with hands-on expertise to offer actionable solutions for the construction industry.

Junfei Zhang is Professor and PhD supervisor at Guangzhou University/Hebei University of Technology, China. He holds a Bachelor's and Master's degree from the University of Science and Technology Beijing, China and a PhD from the University of Western Australia. His primary research focuses on intelligent construction and the utilization of solid waste resources.He has always studied machine learning-aided concrete mixture optimization. He has been recognized as Stanford's top 2% most highly cited scientist and has led one National Natural Science Foundation project, four provincial and ministerial projects, and two provincial education reform projects. Prof Zhang serves as editorial board member for several Science Citation Index (SCI) journals, and has published over 100 high-level SCI papers, including 10 highly cited papers with H-index over 40. Yongshun Zhang is a postgraduate student at Hebei University of Technology, China. He holds a Bachelor's degree in Civil Engineeringfrom Tianjin Chengjian University, China, and is currently advancing his expertise in sustainable construction materials. His research focuses on machine learning-driven optimization of fly ash-based geopolymer concrete. He actively contributes to key research projects investigating high-performance, low-carbon alternatives to traditional concrete. Yongshun has co-authored 10 publications in SCI papers and international conference proceedings.

Erscheinungsdatum	04.10.2025
Verlagsort	Newcastle upon Tyne
Sprache	englisch
Maße	148 x 212 mm
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
Themenwelt	Technik ► Bauwesen
ISBN-10	1-0364-5375-8 / 1036453758
ISBN-13	978-1-0364-5375-6 / 9781036453756
Zustand	Neuware