Machine-Learning-Aided Concrete Mixture Optimization

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Machine-Learning-Aided Concrete Mixture Optimization is written by Junfei Zhang and published by Cambridge Scholars Publishing. It's available with International Standard Book Number or ISBN identification 1036453766 (ISBN 10) and 9781036453763 (ISBN 13).

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.