Structural Health Monitoring and Smart Sensing in Construction systematically integrates fundamental theories of structural health monitoring (SHM) with cutting-edge intelligent sensing technologies. Topics range from monitoring system overviews, machine vision, and advanced piezoelectric, piezoresistive, thin-film, and fiber optic sensing, to nondestructive methods such as acoustic emission and electromagnetic testing. The book also examines data preprocessing, statistical analysis, and AI-based applications, alongside practical aspects like modal identification, model updating, and damage assessment. Through abundant case studies and exercises, the book emphasizes the integration of theory and practice, aiming to equip readers with the skills to tackle complex engineering challenges
- Systematically incorporates six emerging monitoring technologies - including machine vision, intelligent piezoelectric/piezoresistive sensing, flexible thin-film sensing, and fiber optic sensing - providing readers with a one-stop solution to master intelligent sensing tools
- Introducing a unique end-to-end framework of data preprocessing/statistical analysis/machine learning modeling/engineering decision-making
- By bridging the technical gap between structural engineering and intelligent sensing, the book constructs a unified knowledge system
- Each chapter includes real-world bridge and building case studies (e.g., crack detection in steel structures using acoustic emission) and targeted exercises, significantly enhancing the reader’s ability to tackle infrastructure maintenance challenges and shortening the learning curve from classroom theory to on-site application
