Wei-Hua Hu

TL;DR: In this article, the authors describe the development and implementation of a structural health monitoring system on a stress-ribbon footbridge and the application of automated operational modal analysis to analyse the variation of modal properties estimates along several years.

TL;DR: In this article, the feasibility of applying a vibration based damage detection approach, based on Principal Components Analysis (PCA), to eliminate environmental effects using the large amount of high quality data continuously collected by the dynamic monitoring system of Pedro e Ines footbridge since 2007.

TL;DR: In this article, the authors describe the development of computational tools for modal identification and long term dynamic monitoring in LabVIEW environment, which mainly consist of two individual toolkits for structural modality identification (SMI) and continuous monitoring (CSMI).

TL;DR: In this paper, two different statistical methods have been adopted to detect the occurrence of very significant environmental and operational effects on the modal properties of these bridges, based on automated processing of massive amounts of monitoring data collected by a set of accelerometers and thermal sensors over several years.

TL;DR: This work describes a vibration-based structural health monitoring of a prestressed-concrete box girder bridge on the A100 Highway in Berlin by applying statistical pattern recognition technique to a huge amount of data continuously collected by an integrated monitoring system during the period from 2000 to 2013.