Yan Transmissibility Theory for Structural Health Monitoring

Fundamentals, Algorithms, and Applications
Erscheinungsjahr 2026
ISBN: 978-981-957595-4
Verlag: Springer Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 268 Seiten

Reihe: Engineering (R0)

This book provides an in-depth and systematic introduction to transmissibility-based system identification and its role in modern structural health monitoring (SHM). It establishes transmissibility as a paradigm-shifting framework for SHM, advancing beyond traditional input-output and output-only methods to propose a unified output-output paradigm. This innovative approach reduces reliance on excitation measurements or restrictive assumptions such as white noise inputs. Drawing on over 15 years of original research spanning more than 30 high-impact publications by the author, this work delivers new contributions ranging from theoretical advancements in transmissibility's physical/statistical properties to novel identification algorithms and practical SHM applications validated through numerical simulations, laboratory experiments, and field implementations. The detailed exposition of formulations and implementations empowers engineers to apply these concepts directly in practice, while researchers in academia and industry will find inspiration to pursue further investigations in SHM, including modal analysis, model updating, damage detection, influence line identification,and bridge weigh-in-motion, etc.

Zielgruppe

Research

Autoren/Hrsg.

Yan, Wang-Ji

Inhaltsverzeichnis

Introduction.- Basics of Spectral Analysis, Structural Dynamics and Statistical Inference.- Fundamental Statistical Properties and Characterization of Transmissibility Measurements.- Transmissibility-driven Multi-stage Automated Operational Modal Analysis under Ambient Vibration.- Probabilistic Model Updating with Analytical Probabilistic Model of Transmissibility Estimates.- Uncertainty-aware Anomaly Detection with Probabilistic Distance Metric of Transmissibility Measurements.

Über Autor(innen)

Prof. Wang-Ji Yan earned his PhD from the Hong Kong University of Science and Technology and has held positions including a prestigious Marie Sklodowska-Curie Fellowship at the University of Nottingham and a Full Professorship at Hefei University of Technology. He is currently an Associate Professor and Coordinator of the Urban Safety and Disaster Prevention Group at the State Key Laboratory of Internet of Things for Smart City, University of Macau. His research focuses on structural health monitoring, Bayesian system identification, and stochastic dynamics. He has published over 110 top-tier journal papers, with more than 35 in MSSP, his field’s flagship journal. His publications have attracted over 3,200 citations, influencing broad follow-up research. His work has been supported by over 15 grants, including NSFC, China’s National Key R&D Program, and Macao FDCT. Prof. Yan serves as an editor for five international journals and on technical committees of multiple academic bodies. He is the first Chinese scholar to receive the prestigious European Association for Structural Dynamics Junior Research Award and has earned over ten additional honors, including Natural Science Awards from China’s Ministry of Education and Macau SAR. He has delivered over 20 keynote/invited talks, including a semi-plenary keynote at EURODYN 2026, and has supervised over 40 postgraduate and postdoctoral researchers.