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{ "item_title" : "Machine-Learning-Aided Concrete Mixture Optimization", "item_author" : [" Junfei Zhang", "Yongshun Zhang "], "item_description" : "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. ", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/1/03/645/375/1036453758_b.jpg", "price_data" : { "retail_price" : "115.95", "online_price" : "115.95", "our_price" : "115.95", "club_price" : "115.95", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Machine-Learning-Aided Concrete Mixture Optimization|Junfei Zhang

Machine-Learning-Aided Concrete Mixture Optimization

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Overview

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.

This item is Non-Returnable

Details

  • ISBN-13: 9781036453756
  • ISBN-10: 1036453758
  • Publisher: Cambridge Scholars Publishing
  • Publish Date: August 2025
  • Dimensions: 8 x 6 x 0.7 inches
  • Shipping Weight: 1 pounds
  • Page Count: 280

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