Configuring Taiwan's highway bridge performance indicator: a semi-quantitative risk assessment approach

被引:0
|
作者
Tabor, John Mark M. [1 ]
Liao, Hsien-Ke [2 ]
Yau, Nie-Jia [1 ]
Antonio, Angela Louise P. [1 ]
机构
[1] Natl Cent Univ, Dept Civil Engn, Taoyuan, Taiwan
[2] Chinese Construct Management Assoc, 99 Sec 1,Chongqing S Rd, Taipei 100, Taiwan
关键词
Bridge inspection; bridge management systems; condition index; highway bridge; maintenance prioritisation; performance indicator; risk index; MANAGEMENT;
D O I
10.1080/15732479.2024.2322540
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The Taiwan Bridge Management System (TBMS) calculates the condition index (CI) of every highway bridge in its inventory using the latest findings from biennial routine inspections. However, the computational approach for CI can yield skewed results and make a bridge appear healthier than it actually is. To address this issue, a highway bridge performance indicator called the bridge risk index (RI) is presented. The RI is determined by combining the risks associated with the failure of each bridge component, which are evaluated using a semi-quantitative risk assessment approach. This evaluation considers the probability and consequence of a bridge component's failure as a function of a component's deterioration state and criticality to the bridge's overall structural safety and serviceability, respectively. To validate the effectiveness of the RI, inspection data from a sample of seven highway bridges were extracted from the TBMS and used to compare the RI with the CI. The results showed that the RI and its associated parameters can mitigate the inherent issues observed with the CI. Hence, the RI has the potential to be a valuable decision-support tool for transport agencies that rely on similar routine inspection processes to enhance their bridge management systems.
引用
收藏
页数:14
相关论文
共 50 条
  • [41] Performance of semi-quantitative lung ultrasound in the assessment of disease severity in interstitial lung disease
    Kumar, Ishan
    Siddiqui, Zeeshan
    Verma, Ashish
    Chokhani, Aarushi
    Srivastava, Govind Narayan
    Shukla, Ram C.
    ANNALS OF THORACIC MEDICINE, 2021, 16 (01) : 110 - 117
  • [42] BRIDGING THE GAP BETWEEN QUALITATIVE, SEMI-QUANTITATIVE AND QUANTITATIVE RISK ASSESSMENT OF PIPELINE GEOHAZARDS - THE ROLE OF ENGINEERING JUDGMENT
    Geo, P.
    Rizkalla, Moness
    PROCEEDINGS OF THE ASME INTERNATIONAL PIPELINE GEOTECHNICAL CONFERENCE, 2015, 2016,
  • [43] Evidence assessment schemes for semi-quantitative risk analyses: A response to Roger Flage and Terje Aven
    Goerlandt, Floris
    Reniers, Genserik
    SAFETY SCIENCE, 2017, 98 : 12 - 16
  • [44] A semi-quantitative landslide risk assessment of central Kahramanmaraş City in the Eastern Mediterranean region of Turkey
    Çiğdem Tetik Biçer
    Murat Ercanoglu
    Arabian Journal of Geosciences, 2020, 13
  • [45] Semi-quantitative microbial risk assessment: a narrative review and proposed framework for health and safety practitioners
    Boles, Corey
    Zisook, Rachel
    Buerger, Amanda N.
    Hamaji, Claire
    Mathis, Claire
    Lauer, Daniel
    Brewster, Rebecca K.
    Meachum, Kelci Knight
    Nonnenmann, Matthew
    Unice, Kenneth M.
    JOURNAL OF PUBLIC HEALTH AND EMERGENCY, 2022, 6
  • [46] Semi-quantitative risk assessment of adjacent track accidents on shared-use rail corridors
    Lin, Chen-Yu
    Saat, M. Rapik
    Barkan, Christopher P. L.
    JOURNAL OF RAIL TRANSPORT PLANNING & MANAGEMENT, 2022, 24
  • [47] A semi-quantitative multi-hazard risk assessment framework for European coastal urban areas
    Figueiredo, Rui
    Rangel-Parra, Raymundo
    Bussi, Gianbattista
    Ceresa, Paola
    Coccia, Gabriele
    Martina, Mario L. V.
    GEOMATICS NATURAL HAZARDS & RISK, 2024, 15 (01)
  • [48] Semi-Quantitative Risk Assessment of African Swine Fever Virus Introduction in Outdoor Pig Farms
    Rusina, Alessia
    Valentini, Francesco
    Scollo, Annalisa
    Franceschini, Giorgio
    Salvato, Sara
    Cappa, Veronica
    Bellato, Alessandro
    Mannelli, Alessandro
    Bellini, Silvia
    PATHOGENS, 2023, 12 (05):
  • [49] A semi-quantitative landslide risk assessment of central Kahramanmara City in the Eastern Mediterranean region of Turkey
    Bicer, Cigdem Tetik
    Ercanoglu, Murat
    ARABIAN JOURNAL OF GEOSCIENCES, 2020, 13 (15)
  • [50] Stability and reproducibility of semi-quantitative risk assessment methods within the occupational health and safety scope
    Carvalho, F.
    Melo, R. B.
    WORK-A JOURNAL OF PREVENTION ASSESSMENT & REHABILITATION, 2015, 51 (03): : 591 - 600