Explore Artificial Intelligence for Structural Health Monitoring: Smart Solutions for Safer Infrastructure By MD SHOAG — a groundbreaking guide connecting AI, machine learning, and engineering to create safer, smarter cities. Read the full TRU Reviews article to discover how technology is reshaping modern infrastructure safety.
Introduction
In a world where cities are growing vertically and infrastructure networks stretch across continents, ensuring structural safety has never been more critical. Artificial Intelligence for Structural Health Monitoring: Smart Solutions for Safer Infrastructure explores how emerging technologies like Artificial Intelligence (AI) and Machine Learning (ML) are revolutionizing the way we assess, maintain, and secure modern structures.
From bridges and tunnels to skyscrapers and transportation systems, this book dives deep into the intersection of engineering and intelligent systems. It presents a forward-looking approach to safeguarding infrastructure—using algorithms, sensors, and data-driven insights to detect issues before they become failures.
Written for civil engineers, façade inspectors, researchers, and students, the book stands as both a practical guide and an academic reference—bridging theoretical concepts with field-level implementation.
Book Details
| Book Title | Artificial Intelligence for Structural Health Monitoring: Smart Solutions for Safer Infrastructure |
|---|---|
| Author | MD SHOAG |
| Language | English |
| Publication Date | September 20, 2025 |
| Print Length | 254 pages |
| Genre | Engineering, Artificial Intelligence, Structural Health Monitoring, Civil Technology |
| Book Link | Available on Amazon |
Book Description
Modern infrastructure is aging, complex, and under increasing strain. Bridges, skyscrapers, tunnels, and transit systems form the backbone of our daily lives, yet traditional inspection methods are often costly, time-consuming, and limited in scope.
Artificial Intelligence for Structural Health Monitoring: Smart Solutions for Safer Infrastructure demonstrates how AI and ML are transforming the way engineers and inspectors safeguard critical structures. It connects the world of data science with engineering expertise to create intelligent monitoring systems capable of predicting faults, analyzing patterns, and preventing catastrophic failures.
Written for professionals and academics alike, the book covers:
- A clear and practical introduction to Structural Health Monitoring (SHM) fundamentals and sensor technologies
- Step-by-step applications of machine learning, deep learning, and anomaly detection in structural assessments
- Real-world case studies on bridges, high-rise buildings, and transport systems
- Insights into New York City’s Façade Inspection & Safety Program (LL11/FISP) and how AI enhances compliance
- Discussions on big data, model validation, and ethics in AI-driven infrastructure management
By integrating engineering principles with data-driven intelligence, this work provides the roadmap for safer, smarter, and more sustainable cities.
Book Review
This book stands at the forefront of engineering innovation, offering a rare blend of technical depth and practical clarity. Each chapter serves as a bridge between traditional structural monitoring and modern intelligent systems.
The writing is crisp, educational, and accessible—even for readers new to AI. The inclusion of real-world case studies ensures that theory meets application, grounding complex algorithms in tangible results. From vibration analysis to predictive maintenance, the book equips readers with an actionable understanding of how AI transforms data into decision-making power.
What makes it stand out is its focus on both engineering integrity and ethical responsibility. The discussions around urban safety, sustainability, and compliance reflect a commitment to advancing infrastructure management without losing sight of human welfare.
For students, it offers a comprehensive foundation in SHM and AI integration. For professionals, it’s a guide to future-proofing their work in a rapidly evolving field. For researchers, it provides an invaluable reference filled with case insights and applied methodologies.
TRU Reviews readers will find this an enlightening and timely contribution to the literature on engineering innovation—a must-read for anyone shaping the future of infrastructure.
Final Thoughts
Artificial Intelligence for Structural Health Monitoring is not just a technical manual; it is a visionary guidebook for the future of engineering. It underscores the vital role of AI in creating intelligent, sustainable cities where infrastructure is monitored continuously and maintained proactively.
For those in civil and structural engineering, this book represents the next step forward—where technology and safety meet innovation and ethics.
Get your copy here: Artificial Intelligence for Structural Health Monitoring on Amazon
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