Infrastructure Engineering - Research Publications

Permanent URI for this collection

Search Results

Now showing 1 - 4 of 4
  • Item
    Thumbnail Image
    Structural Health Monitoring of Bridges Using Advanced Non-destructive Testing Technique
    Maizuar, M ; Zhang, L ; Miramini, S ; Mendis, P ; Duffield, C ; Wang, CM ; Ho, JCM ; Kitipornchai, S (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.
  • Item
    Thumbnail Image
    Automation in structural health monitoring of transport infrastructure
    Zhang, L ; Herath, N ; Raja, BNK ; Chen, S ; Miramini, S ; Duffield, C (Springer Singapore, 2021-01-01)
    Roads are among the most important assets in the world. Road structure improvements make a crucial contribution to economic development and growth and bring important social benefits. Automation in structural health monitoring allow the accurate prediction of ongoing damage caused by long-term traffic loading. This permits optimal road structure management and ensures the longevity and safety of road structures. This chapter discusses a variety of advanced automation techniques in structural health monitoring of road structures, such as data acquisition, data processing, and life-cycle assessment. It demonstrates that the implementation of automation in road asset management can increase the productivity and extend the service life of road structures, and enhance the durability of crucial road structures and increase transport infrastructure sustainability.
  • Item
    Thumbnail Image
    Infrared Thermography for Detecting Subsurface Defects of Concrete Structures
    Khan Raja, BN ; Miramini, S ; Duffield, C ; Zhang, L ; Wang, CM ; Ming, C ; Kitipornchai, S (Springer Singapore, 2020-12-23)
    Delamination is one of the serious types of deterioration in reinforced concrete structures. It could cause concrete spalling, exposed steel bars, and ultimately affects the structural integrity of concrete structures. Infrared thermography (IRT) is a non-destructive technique which could potentially detect the delamination by capturing thermal contrast (∆T) on concrete surface caused by the heat flow disruption within the concrete due to subsurface anomalies. However, the optimum time and environmental conditions for IRT data collection are still unclear. In this study, an experimentally validated numerical model was developed to investigate the effect of a range of environmental conditions and defect characteristics on the IRT inspection outcomes. The results show that, under direct solar irradiation, the total heat flux input plays an important role in the development of thermal contrast ∆T instead of flux rate. Furthermore, delamination depth and size are two critical parameters that affect IRT results.
  • Item
    Thumbnail Image
    Understanding the Green Building Industry in Thailand
    Shen, W ; Tang, W ; Siripanan, A ; Lei, Z ; Duffield, C ; Hui, K ; Gou, Z (Springer, 2020)
    Promoting green building has become a global trend to improve resource efficiency and well-being of societies. The aim of this study is to systematically investigate the key aspects of the green building industry in Thailand (i.e., critical successful factors, key green technologies, and barriers) and to provide a sound basis for deeply understanding the drivers of the industry. Based on a survey of consultants, architects, and engineers, the results show that critical success factors of green building are mainly related to competence of project participants, integration of project team, technical and management innovation, external environment, and project characteristics. The analysis of green technical capabilities demonstrates that project participants should emphasize improving technical skills in green building, use of green materials, and familiarity with green building rating systems. Barriers to green building mainly arise from financial pressure, technical limitation, and inadequate promotion. The findings can help project participants to adopt appropriate strategies in boosting green building in emerging markets of developing countries. Future studies should focus on levering the demand of the market, integrated green technology innovation, and management measures at project, organizational, and industrial levels.