Overview

Civil engineering and construction are entering a transformative era powered by data, automation, and increasingly, artificial intelligence. As the built environment becomes more complex and interconnected, the need for intelligent tools that can reason, predict, and support decision-making has never been greater. AI and Generative AI for Civil Engineering and Construction: A Conceptual and Practical Journey is written to help students, engineers, and industry professionals navigate this rapidly evolving landscape. Rather than treating AI as an abstract field, this book emphasizes clear intuition, practical workflows, and real-world engineering relevance. From structural insights and digital twins to construction planning and generative design exploration, the chapters highlight how AI can enhance-not replace-the expertise of civil engineers. At the same time, AI and generative AI introduce new responsibilities related to data quality, ethics, safety, and transparency. This book aims to build digital confidence by demystifying AI tools, articulating their limitations, and showing how conceptual understanding can be translated into simple practical applications. The capstone projects included are intentionally designed to be accessible, enabling readers to experience end-to-end workflows without requiring advanced programming. Our hope is that this work empowers civil engineers to think creatively, leverage emerging technologies effectively, and shape the future of a resilient, efficient, and human-centered built environment.

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