Infrastructure Engineering - Research Publications
Permanent URI for this collection
Search Results
1 - 5 of 5
-
ItemNew normal remote communication for collaboration (presentation)( 2021-12-19)Presented at the 12th International Conference on Structural Engineering and construction Management (ICSECM) 2021, Kandy, Sri Lanka (17-19 December)
-
ItemStructural Health Monitoring of Bridges Using Advanced Non-destructive Testing Technique(Springer, Singapore, 2020-01-01)This paper presents an integrated framework for structural health monitoring of bridges by using advanced non-destructive testing (NDT) technique in conjunction with computational modelling. First, the structural characteristics of the Eltham Trestle Bridge under train loading were monitored using the combination of the 3D optical measurement system and IBIS-S. The results demonstrate that, in conjunction with computational modelling, the NDT can capture the structural health conditions of the bridge by analysing the natural frequencies and deformation profiles of the critical members of the bridges. Then, the developed framework also takes into account the impact of extreme events (e.g. truck impacts and earthquakes) by using a reliability-based model. Finally, using the Montague Street Bridge as a case study, it shows that proposed framework has the capability of predicting the residual life of a bridge subject to both progressive deterioration and extreme events throughout its service life.
-
ItemThe influence of ambient environmental conditions in detecting bridge concrete deck delamination using infrared thermography (IRT)(Wiley, 2020-04-01)Delamination is a serious form of deterioration in concrete bridge decks. Infrared thermography (IRT) is an advance non‐destructive testing method for concrete bridge deck delamination detection by capturing the absolute thermal contrast (ΔT) on the concrete surface caused by the disruption in heat flow due to subsurface defects. However, as the ambient environmental conditions (e.g. wind velocity and solar radiation) of a bridge could significantly affect the measurement outcomes of IRT, the optimal times for infrared data collection are still unclear. In this paper, a series of experimental and numerical studies were carried out to investigate the effects of the rate of heat flux and wind velocity on ΔT on the surface of bridge decks with the aim of identifying the optimal inspection times for different geometry characteristics of delamination (i.e. size and depth). The developed model is firstly validated by the experimental data and then a series of parametric studies were carried out. The result shows that the heat flux rate plays an important role in the development of ΔT on concrete surface, especially for a relatively shallow and small size delamination. However, the influence of heat flux rate gradually diminishes with the increase in size and depth of delamination. In addition, it demonstrates that there is a positive linear correlation between the total heat energy (external irradiation) and square of the delamination depth. The current research represents an important step towards the development of an effective and efficient way for defect detection using IRT.
-
ItemA preliminary artificial intelligence model for predicting the risk from glass windows subject to airblast overpressure(Construction Publishing House, 2007)
-
ItemMonitoring the Dynamic Behavior of The Merlynston Creek Bridge Using Interferometric Radar Sensors and Finite Element Modeling(WORLD SCIENTIFIC PUBL CO PTE LTD, 2017-01)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.