Machine-Learning-Aided Concrete Mixture Optimization (eBook)

Junfei Zhang, Yongshun Zhang (Autoren)

eBook Download: PDF

2025
280 Seiten
Cambridge Scholars Publishing (Verlag)
978-1-0364-5376-3 (ISBN)

Infos

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.

Produkt-Details

• Erscheint lt. Verlag: 27.8.2025
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• Themenwelt: Technik ► Bauwesen
• ISBN-10: 1-0364-5376-6 / 1036453766
• ISBN-13: 978-1-0364-5376-3 / 9781036453763