@article {bnh-6126, title = {Enhancing resilience of critical road infrastructure annual report 2018-2019}, number = {519}, year = {2019}, month = {10/2019}, institution = {Bushfire and Natural Hazards CRC}, address = {Melbourne}, abstract = {

The overarching aim of the proposed second stage of the project is to work closely with key stakeholders to implement the methodologies that have been developed for vulnerability modelling of road structures to priorities vulnerable structures for improvements, to quantify the cost of reconstruction and/or cost of hardening of structures, and to integrate community resilience considerations into the decision-making process.

During the last financial year, the research team has published seven peer-reviewed journal papers (5 Scimago Q1 journal papers), 13 national/international conferences papers and one technical report, while there are eight journal papers under review now.

The major research activities include the generic analysis of bridges in terms of structural analysis, community impact model for decision making on strengthening, floodway inspection methodology, and strengthening options for different hazard types and levels. A floodway inspection and maintenance framework were also developed to guide the future inspection and maintenance of those bridges, especially for those have undergone hazard events.

Four workshops and four meetings were held during the second year of Stage 2 of the project. Two workshops were held at RMIT University to discuss with end users and colleagues regarding the feedback and comments of the project progresses. One workshop was held at the University of Southern Queensland and the Queensland University of Technology, respectively. Feedbacks from these end users have largely benefited the research progress.

Four major utilization activities have been identified and are in progress.

Our next step is to focus on the remaining milestones and engaging with those end users to tailor the research direction and fulfill their urgent research needs. The final project completion report will be also submitted then for the review of BNH CRC.

}, keywords = {Emergency management, engineering, infrastructure resilience}, issn = {519}, author = {Sujeeva Setunge and Chun Qing Li and Darryn McEvoy and Kevin Zhang and Jane Mullett and Hessam Mohseni and Priyan Mendis and Tuan Ngo and Lihai Zhang and Nilupa Herath and Karu Karunasena and Weena Lokuge and Buddhi Wahalathantri and Dilanthi Amaratunga} } @article {bnh-5435, title = {Enhancing resilience of critical road infrastructure: bridges, culverts and flood-ways under natural hazards Annual Report 2017-2018}, number = {466}, year = {2019}, month = {03/2019}, institution = {Bushfire and Natural Hazards CRC}, address = {Melbourne}, abstract = {

During stage 1 of the project, disaster risk was understood in terms of the vulnerability of road structures, and the impacts of road failure on local communities. Stage 2 aims to enhance disaster preparedness, inform more effective responses, and ensuring that damaged structures are built back better during the recovery. In Stage 2 of this project, research will continue to apply the methods developed in Stage 1 to examine the vulnerability of categories of road structures for decision making. In addition to the assessment of structural vulnerability, a decision support framework will be developed through collaboration with other research projects of the BNH CRC such as decision making and fire modeling. The overarching aim of the proposed second stage of the project is to work closely with key stakeholders to implement the methodologies that have been developed for vulnerability modelling of road structures to priorities vulnerable structures for improvements, to quantify the cost of reconstruction and/or cost of hardening of structures, and to integrate community resilience considerations into the decisionmaking process. During the first year of Stage 2, several research objectives have been achieved, including hazard mapping for Victoria and Queensland, categorization of road structures, and floodway design process. The related methodologies are introduced below one by one.

}, keywords = {bridges, floodways, infrastructure resilience, Natural hazards}, author = {Sujeeva Setunge and Chun Qing Li and Darryn McEvoy and Kevin Zhang and Jane Mullett and Hessam Mohseni and Priyan Mendis and Tuan Ngo and Lihai Zhang and Nilupa Herath and Karu Karunasena and Weena Lokuge and Buddhi Wahalathantri and Dilanthi Amaratunga} } @article {bnh-6042, title = {Dynamic Behavior of Indonesian Bridges using Interferometric Radar Technology}, journal = {Electronic Journal of Structural Engineering}, volume = {18}, year = {2018}, month = {2018}, pages = {23-29}, abstract = {

Structural deterioration of critical transport infrastructures (e.g., bridges) represents trillion dollars of transportation budget. Inspection and monitoring structural deterioration of bridge structures require an innovative method for an improved quality and accuracy of measurements. This paper presents and discusses the capabilities of the recent advanced interferomertic radar technique (IBIS-S) for remote monitoring structural vibations of bridges (e.g., displacement and natural frequency). Three case studies bridges in Indonesia were selected for field measurements. The research outcomes demonstrate the potential use of interferometric radar technology as an efficient way for structural health assessment and monitoring of bridges under operational condition.

}, keywords = {Bridge, displacement, Dynamic behavior, IBIS-S, Natural frequency}, url = {http://www.ejse.org/Archives/Fulltext/2018-1\%20Sp/2018-1-3.pdf}, author = {Maizuar Maizuar and Elisa Lumantarna and Sofi Massoud and Oktavianus Yusak and Lihai Zhang and Colin Duffield and Priyan Mendis} } @article {bnh-6044, title = {Health Assessment of a Pedestrian Bridge Deck using Ground Penetrating Radar}, journal = {Electronic Journal of Structural Engineering}, volume = {18}, year = {2018}, month = {2018}, pages = {30-37}, abstract = {

Scanning concrete structures using ground penetrating radars (GPR) continues to be one of the most efficient methods for defect (i.e. crack, void and delamination) detection within concrete structures as well as detection of reinforcing bars damage due to corrosion. The aim of this study was to assess the structural health of a 45-year old pedestrian bridge deck. To achieve this, a number of experiments using a GPR system were conducted on a strong concrete floor with known construction drawings to detect cover depth and rebar orientations. After validating the GPR results through the experiments, the GPR system was used for nondestructive assessment of the pedestrian bridge deck. From the scanned results, the location and orientation of the reinforcing bar were established. In addition, the diameters of the bars was estimated by measuring the thickness of the hyperbola curves in the B-scans. The scanned output shows no signs of corrosion of reinforcement or damage of concrete in the form of delamination or cracking.

}, keywords = {Bridge, Ground Penetrating Radars, Non-Destructive Techniques, Structural Heath Assessment}, url = {https://www.researchgate.net/profile/Colin_Duffield/publication/326734315_Health_Assessment_of_a_Pedestrian_Bridge_Deck_using_Ground_Penetrating_Radar/links/5b61464baca272a2d678d7d9/Health-Assessment-of-a-Pedestrian-Bridge-Deck-using-Ground-Penetrating-Ra}, author = {Saeed Miramini and Massoud Sofi and Ahmed Aseem and Ali Baluwala and Lihai Zhang and Priyan Mendis and Colin Duffield} } @article {bnh-5164, title = {Detecting structural damage to bridge girders using radar interferometry and computational modelling}, journal = {Structural Control and Health Monitoring}, volume = {24}, year = {2017}, month = {02/2017}, abstract = {

The process for assessing the condition of a bridge involves continuously monitoring changes to the material properties, support conditions, and system connectivity throughout its life cycle. It is known that the structural integrity of bridges can be monitored by measuring their vibration responses. However, the relationship between frequency changes and structural damage is still not fully understood. This study presents a bridge condition assessment framework which integrates computational modelling and noncontact radar sensor techniques (i.e., IBIS-S) to predict changes in the natural frequencies of a bridge girder as a result of a range of parameters that govern its structural performance (e.g., elastomeric bearing stiffness, concrete compressive stiffness, and crack propagation). Using a prestressed concrete bridge in Australia as a case study, the research outcomes suggest that vibration monitoring using IBIS-S is an efficient way for detecting the degradation of elastomeric bearing stiffness and shear crack propagation in the support areas that can significantly affect the overall structural integrity of a bridge structure. However, frequency measurements have limited capability for detecting the decrease in the material properties of a bridge girder.

}, doi = {https://doi.org/10.1002/stc.1985}, url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/stc.1985}, author = {Maizuar Maizuar and Lihai Zhang and Saeed Miramini and Priyan Mendis and Russell G Thompson} } @article {bnh-5163, title = {Monitoring the dynamic behaviour of the Merlynston Creek Bridge using interferometric radar sensors and finite element modeling}, journal = {International Journal of Applied Mechanics}, volume = {9}, year = {2017}, month = {02/2017}, abstract = {

Bridges play an important role in economic development and bring important social benefits. The development of innovative bridge monitoring techniques will enable road authorities to optimize operational and maintenance activities for bridges. However, monitoring the dynamic behavior of a bridge requires a comprehensive understanding of the interaction between the bridge and traffic loading which has not been fully achieved so far. In the present study, an integrated bridge health monitoring framework is developed using advanced 3D Finite Element modeling in conjunction with Weight-in-motion (WIM) technology and interferometric radar sensors (IBIS-S). The realistic traffic loads imposed on the bridge will be obtained through calibration and validation of traffic loading prediction model using real-time bridge dynamic behavior captured by IBIS-S and WIM data. Using the Merlynston Creek Bridge in Melbourne, Australia as a case study, it demonstrated that the proposed bridge monitoring framework can both efficiently and accurately capture the real-time dynamic behavior of the bridge under traffic loading as well as the dynamic characteristics of the bridge. The outcomes from this research could potentially enhance the durability of bridges which is an important component of the sustainability of transport infrastructure.

}, doi = {https://doi.org/10.1142/S175882511750003X}, url = {https://www.worldscientific.com/doi/abs/10.1142/S175882511750003X}, author = {Bidur Kafle and Lihai Zhang and Priyan Mendis and Nilupa Herath and Maizuar Maizuar and Colin Duffield and Russell G Thompson} } @article {bnh-5165, title = {A probabilistic study of ground motion simulation for Bangkok soil}, journal = {Bulletin of Earthquake Engineering}, volume = {15}, year = {2017}, month = {05/2017}, pages = {1925-1943}, chapter = {1925}, abstract = {

Due to the soft soil condition, it has been found that buildings in Bangkok locating 200\ km away from epicentral of an earthquake can be damaged as a result of high ground motion (e.g. earthquakes of magnitudes 5.3{\textendash}5.9 in 1983). Because of rapid urban expansion and population growth in cities with soft soil condition, such as Bangkok, the assessment of seismic vulnerability of building structures becomes necessary. The purpose of this study is to quantify variability and develop attenuation and amplification models of ground motions for Bangkok sites. First, by analysing soil profile of Bangkok using Latin Hypercube sampling technique, critical attenuation and amplification characteristics, such as peak ground acceleration, ground motion intensity, frequency content and significant ground duration, were obtained. Then, the statistical information on the attenuation and amplification models of these characteristics was established and used to conduct a series of non-linear seismic analysis of a typical four storey commercial building in Bangkok. The research outcomes demonstrate that the developed models are capable of predicting the damage indices of buildings in Bangkok under different earthquake intensities and epicentral distances.

}, doi = {https://doi.org/10.1007/s10518-016-0058-6}, url = {https://link.springer.com/article/10.1007\%2Fs10518-016-0058-6}, author = {Nilupa Herath and Priyan Mendis and Lihai Zhang} }