MS1: Recent SHM advances in Australia

Professor Tommy Chan, Queensland University of Technology, Australia
Dr Andy Nguyen, Queensland University of Technology, Australia

Structural Health Monitoring (SHM) is defined as the implementation of on-structure sensing systems to monitor the performance of the structure and evaluate its health state. For the last two decades SHM has been attracting enormous research efforts around the world because it targets at monitoring structural conditions to prevent catastrophic failure, and to provide quantitative data for engineers and infrastructure owners to have reliable structures and economical asset management plans.

The Australian Network of Structural Health Monitoring (ANSHM) was set up in 2009 to raise recognition of SHM in Australia and to facilitate knowledge transfer and application of this technology onto Australian civil infrastructure. Parallel with hosting SHMII-8 conference in Brisbane, ANSHM is pleased to announce that we will also organise a mini-symposium entitled

“Recent SHM advances in Australia” in this conference. Serving as the 9th ANSHM workshop, this mini-symposium aims to bring together all ANSHM members as well as other participants, for presentation and discussion on recent SHM research and application achievements around Australia.


MS2: Data-driven structural damage identification and performance assessment

Professor Ling Yu, Jinan University, China
Professor Ying Lei, Xiamen University, China
Professor Hua-Peng Chen, University of Greenwich, UK

Currently, the vibration-based structural damage identification (SDI) algorithms have been recognized and intensely studied as promising tools for monitoring structural conditions, detecting structural damage and assessing structural performance from a vast amount of monitoring data. One of the main categories of such algorithms is data-driven SDI techniques which extract features from measured data, identify structural damage and assess structural performance when manually or automatically interpreting the significance of potential changes in these features. This mini-symposium covers theoretical, computational and experimental work on data-driven structural damage identification and performance assessment technologies with possible applications in a wide range of engineering structures.


MS3: Temperature behaviour of structures

Yong Xia, Associate Professor, The Hong Kong Polytechnic University, Hong Kong S.A.R., China
You-lin Xu, Chair Professor, The Hong Kong Polytechnic University, Hong Kong S.A.R., China

Civil structures are generally exposed to varying temperature conditions. Temperature variations in structural components not only cause quasi-static responses (such as displacement and stress), but also lead to changes in vibration properties (such as frequencies, mode shapes, and damping). This mini-symposium will present the recent studies of structural temperature behaviour (both quasi-static and dynamic) via numerical, experimental, and field monitoring approaches. Condition assessment and system identification under varying temperature environment will also be addressed.