Special Issue: Real World Application of SHM in Australia

Australian Network of Structural Health Monitoring (ANSHM) was established in 2009 to promote and advance the field of SHM in Australia and the association has grown considerably since then. By November of 2018, ANSHM has the membership made of 45 organisations including 20 universities, 16 private companies, 6 road authorities and 3 research institutions. Every year ANSHM organises an annual workshop and/or conference sessions for members to exchange their research and practical developments in SHM. One edited book and nine journal special issues have been produced since the establishment of ANSHM. One of these special issues was organised in Structural Health Monitoring - an International Journal (SHMIJ) in 2014. On 6–7 December 2017, ANSHM held its 9th annual workshop as part of the prestigious 8th International Conference on Structural Health Monitoring of Intelligent Infrastructures (SHMII-8) in Brisbane, Queensland, Australia. The main focus of both SHMII-8 and the 9th ANSHM workshop was SHM in real-world application. Interestingly, all sessions of SHMII-8 and ANSHM workshop were held within the P block building at Gardens Point Campus of Queensland University of Technology (QUT) that was instrumented with Australia's first ever long-term full-scale SHM system. Inspired by this theme and high-quality presentations at the workshop, a special issue named 'Real World Application of SHM in Australia' was established in SHMIJ and the 9th ANSHM workshop speakers were invited to submit enhanced and extended versions of their papers to this Special Issue. After rigorous pre-screening, peer review and revision processes, fourteen papers were accepted for inclusion in the Special Issue. The contributions include deterioration assessment of the instrumented P block building at QUT using hybrid model updating and long-term vibration monitoring data, reliability-based load-carrying capacity assessment of bridges using SHM and non-linear analysis, and innovative vibration based damage identification methods with applications to cable-stayed, steel-truss or timber bridges as well as to frame, utility-pole or building structures. The Special Issue also includes new research on non-destructive evaluation of (i) incipient pitting corrosion in reinforced concrete structures, (ii) gaps between carbon fibre reinforced polymer composite and concrete surfaces, (iii) fatigue cracks in pipes, (iv) bolted joints, and (v) in-situ stress. Most studies were verified on real civil structures or large-scale laboratory models well reflecting the high applicability of the developed methods to solve real-world problems. As the guest editors of this Special Issue, we thank the authors for their contribution and all the anonymous reviewers who provided constructive review comments to the manuscripts submitted to this Special Issue. We would also like to express our sincere gratitude to the Managing Editor Professor Michael Todd and the journal executive committee for their support and assistance during the submission and review process. Finally, we would like to thank the SAGE Publications team for their diligence in assuring the efficient and timely production of the papers toward the publication of this Special Issue

A hybrid domain adaptation approach for estimation of prestressed forces in prestressed concrete bridges under moving vehicles

Ensuring the accurate and reliable estimation of prestressed forces (PFs) in prestressed concrete bridges is vital for operational performance and public safety. Traditional vibration-based methods often face challenges when applied to real-world scenarios. In this study, a novel hybrid domain adaptation approach is proposed to predict the prestressed force of prestressed concrete bridges under moving vehicles. The finite element model for Vehicle-Bridge Interaction (VBI) systems is established and validated using the experimental results. This validated model is then used to generate a synthetic training dataset of the source domain. Continuous Wavelet Transform (CWT) is employed for feature extraction from VBI acceleration responses, capturing their time-frequency properties. Preliminary feature extraction is enhanced through the use of a pre-trained AlexNet network. Following this initial step, a novel hybrid domain adaptation (DA) approach is applied to close the gap between the synthetic and real-world data. Specifically, Maximum Mean Discrepancy (MMD) and adversarial DA techniques are synergistically combined. Three types of loss functions are incorporated: Regression Loss for precise force prediction, MMD Loss to align the synthetic and real-world data domains, and Adversarial Loss to ensure domain invariance. The effects of uncertainties in VBI system, such as errors of the bridge length, flexural rigidity, density, damping, boundary conditions, errors of the vehicle model and moving speed and road surface roughness, have been discussed. The results indicate that the integrated approach effectively mitigates the challenges posed by domain shift, enabling robust and reliable predictions of PFs in actual bridge structures. The finding of this study offers a comprehensive, data-driven solution with significant implications for the future of structural health monitoring and bridge condition assessment

Fiber Bragg grating strain modulation based on nonlinear string transverse-force amplifier

2012-2013 > Academic research: refereed > Publication in refereed journalpublished_fina

Very sensitive fiber Bragg grating accelerometer using transverse forces with an easy over-range protection and low cross axial sensitivity

2013-2014 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe

Identification of moving vehicle loads on bridges using time domain method and frequency-time domain method

2001-2002 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe