Y Yang, C Dorn, T Mancini, Z Talken, G Kenyon… - … Systems and Signal …, 2017 - Elsevier
Experimental or operational modal analysis traditionally requires physically-attached wired or wireless sensors for vibration measurement of structures. This instrumentation can result …
J Shu, C Zhang, Y Gao, Y Niu - Mechanical Systems and Signal Processing, 2023 - Elsevier
Traditional modal analysis approaches for structural heath monitoring (SHM) have a low implementation efficiency. This study develops an artificial intelligence (AI)-based automatic …
Real‐time health monitoring of stay cables in cable‐stayed bridges is necessary for timely maintenance and to avoid unforeseen fatigue damage due to vortex‐induced vibration …
J Shan, H Zhang, W Shi, X Lu - Structural Concrete, 2020 - Wiley Online Library
Health monitoring and field‐testing have been two emerging technologies for investigating the real‐world behaviors of high‐rise buildings. The five primary motivations of the two …
Y Yang, C Dorn, T Mancini, Z Talken… - Journal of Sound and …, 2017 - Elsevier
Enhancing the spatial and temporal resolution of vibration measurements and modal analysis could significantly benefit dynamic modelling, analysis, and health monitoring of …
In this paper, a new structural identification method is proposed to identify the modal properties of engineering structures based on dynamic response decomposition using the …
S Nagarajaiah, Y Yang - Structural Control and Health …, 2017 - Wiley Online Library
This paper presents a new paradigm of explicitly modeling and harnessing the data structure to address the inverse problems in structural dynamics, identification, and data …
Y Yang, S Nagarajaiah - Mechanical Systems and Signal Processing, 2015 - Elsevier
Modal identification or testing of structures consists of two phases, namely, data acquisition and data analysis. Some structures, such as aircrafts, high-speed machines, and plate-like …
D Liu, Z Tang, Y Bao, H Li - Structural Control and Health …, 2021 - Wiley Online Library
In this study, we propose a machine‐learning‐based approach to identify the modal parameters of the output‐only data for structural health monitoring (SHM) that makes full use …