• Title/Summary/Keyword: 소교량 선정방법

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Improvement of the Risk Evaluation Methods for Small Bridges When Investigating the Small Public Facilities (소규모 공공시설 조사 시 소교량의 위험성 평가 방법 개선)

  • Jaesung Shin;Kyewon Jun;Jungsoo Rho
    • Journal of Korean Society of Disaster and Security
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    • v.16 no.2
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    • pp.33-47
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    • 2023
  • Under the "Act on Safety Control of Small Public Facilities (enacted in 2015)", each local government selects and conducts annual safety inspections for small public facilities. Among small public facilities, small bridges pose high risks and are heavily utilized by local residents, making them challenging to manage due to their large numbers and limited resources. Therefore, there is a need for a rational selection method that considers the management capacity of local governments, as well as the establishment of objective risk evaluation and maintenance planning for small hazardous facilities. In this study, we propose a selection method based on structural and functional classification of small bridges, considering the management capacity of local governments. Additionally, we present quantitative evaluation indicators for ten risk evaluation criteria, aiming to facilitate objective risk evaluation.

Development of Model for Selecting Superstructure Type of Small Size Bridge Using Dual Classification Method (이원분류기법을 이용한 소규모 교량 상부형식선정 모형에 관한 연구)

  • Yun, Su Young;Kim, Chang Hak;Kang, Leen Seok
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.35 no.6
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    • pp.1413-1420
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    • 2015
  • On the design phase of small size bridge, owing to the lack of related guidelines or standards to determine a superstructure type of bridge, many designers tend to select the type depending on expert's experience and knowledge. Moreover, recently, as types of bridge superstructure become diverse and more conditions need to be considered in the project, the decision makes process become complex. This research covered the selection of a superstructure type of a middle or small size bridge with span length of about 50m, which frequently built for national roadway, selecting type of bridge superstructure more systematic way rather than the existing ways to compare construction methods or to depend on expert's experiences. This study proposes to build a bridge superstructure type selection model using one of the techniques of artificial intelligence techniques SVM by applicability of the model examined through the verification of the actual case.

Risk Assessment Improvement Method of Small Stream When Small Sized Hazard Infrastructures Survey (소규모 공공시설 조사시 세천의 위험도 평가 방안)

  • Jungsoo Rho;Kyewon Jun;Jaesung Shin
    • Journal of Korean Society of Disaster and Security
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    • v.16 no.1
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    • pp.23-35
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    • 2023
  • Recently, the damage caused by natural disasters such as typhoons and localized torrential rains has been increasing rapidly. The Ministry of the Interior and Safety enacted a 「law on safety management of small sized infrastructures」 and local governments have to register small sized infrastructures with the National Disaster and Safety Management System (NDMS) until March 31st every year. Recently, each local government has ordered Safety inspections of small sized infrastructures and maintenance plans and six types of facilities, including small streams, small bridges, farm roads, access roads to village, inlet weirs, and drop structures are being surveyed and digitized into a database. Each facility is being evaluated for risk, and for those deemed hazardous, maintenance plans are being developed. However, since the risk assessment method of small sized infrastructures is not clear so that is conducted through visual investigation by field investigators, risk assessment is conducted in a subjective and ambiguous form. Therefore, this study presented a reasonable and quantitative risk assessment method by providing a quantitative evaluation indicator for small stream, which has the highest disaster risk among other small sized infrastructures, so that small sized hazard infrastructures can be selected to secure transparent evidence for improvement plans and action plans.