Over the years, various hydro-meteorological disasters have impacted many countries and civilians, thus decreasing the losses caused by these disasters has become important for disaster management. While bridges often are essential to connect the affected disaster areas, this study focuses on bridge management associated with typhoons and rainstorms. Recently, although numerous information technology-based applications are available, three problems (i.e. asynchronous information records, unsteady information transmission, and inaccessible information analysis) still influence responses on disaster sites. Therefore, this study integrated several mobile information techniques to propose a mobile disaster response system. The applied mobile GPS-and GIS-based data reports simplify information generation, AR-based assistance enhances information representation, and mobile 3D graphics accelerates information processes. Based on the tests, this system not only improved the recognized problems but also strengthened the cooperation between construction engineers and workers and disaster managers. Overall, this study is a useful reference for similar applications in bridge management and disaster management.
Due to the dwindling maintenance budget and lack of qualified bridge inspectors, bridge-management agencies in Taiwan need to develop cost-effective maintenance and inspection strategies to preserve the safety and functionality of their aging, natural disaster-prone bridges. To inform the development of such a strategy, this study examined the big data stored in the Taiwan Bridge Management System (TBMS) using the knowledge discovery in databases (KDD) process. Cluster and association algorithms were applied to the inventory and five-year inspection data of 2849 bridges to determine the bridge structural configurations and components that are prone to deterioration. Bridge maintenance agencies can use the results presented to reevaluate their current maintenance and inspection strategies and concentrate their limited resources on bridges and components most prone to deterioration.
-The reliability of structural performance of bridges in Taiwan are affected by both in-service loading and material deterioration due to extreme environmental factors. With an inventory of 27,895 bridges and culverts in Taiwan Bridge Management System (TBMS), there are more than 8,840 bridges that are over 30 years and around 8,877 whose built years are still unknown. Government officials noticed this issue in recent years and placed thoughtful attention. Not only did they establish the maintenance mechanism for regular bridge inspections and maintenance, but developed maintenance systems to upsurge the competence of bridge management. However, this strategy only focused on data recording and was not able to notably improve maintenance efforts. Thus, it is essential that engineers refine their inspection and assessment techniques.Bridge inspection data recorded in TBMS are frequently analysed, to determine failure causes. According to the "Validation of bridge inventory data in TBMS" project, funded by Ministry of Transportation and Communications (MOTC) in 2010, the accuracy of bridge inspection data was lower than that of inventory. Consequently, MOTC proposed to enforce a new and detailed inspection program after 2015.This research reviewed the state-of-the-art for inspection methodologies in practice to assess condition of bridges in Taiwan, Japan, South Africa, USA and Europe. Concisely, the findings, including description, categorization of deterioration, and assessment method of bridge conditions were collected to provide bridge inspectors and engineers with more reliable assessment approach. Recommendations for enhancing bridge inspection standards and qualifications for inspectors in Taiwan are also discussed in this paper accordingly.
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