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Total Repair Cost Simulation Considering Multiple Probabilistic Measures and Service Life

Author

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  • Yong-Sik Yoon

    (Department of Civil and Environmental Engineering, Hannam University, 70 Hannam-ro, Daedeok-gu, Daejeon 34430, Korea)

  • Yong-Han Ahn

    (Department of Architectural Engineering, Hanyang University ERICA, 55 Hanyangdaehak-ro, Sangrok-gu, Ansan 15588, Korea)

  • Xiao-Yong Wang

    (Department of Architectural Engineering, Kangwon National University, 1 Kangwondaekah-gil, Chuncheon 24341, Korea
    Department of Intergrated Energy and Infra System, Kangwon National University, 1 Kangwondaekah-gil, Chuncheon 24341, Korea)

  • Seung-Jun Kwon

    (Department of Civil and Environmental Engineering, Hannam University, 70 Hannam-ro, Daedeok-gu, Daejeon 34430, Korea)

Abstract

In this study, the total maintenance cost for public houses in South Korea was analyzed, and the effect of each repair process on the total maintenance cost was evaluated with probabilistic and deterministic methods. In the probabilistic method, quality of repair materials and construction skills were considered in the variability of extended service life through repair, while the deterministic method considered it by simple summation of repair step. The repair cost was analyzed considering the coefficient of variation (COV) of extended service life, so the reasonable total maintenance cost was able to be evaluated. Since the results through the probabilistic method provided a continuous cost line, a reasonable repair strategy was carried out by simply changing the intended service life of the structure. The repair cost was additionally analyzed with constant COV (0.15) of each repair process for considering various situations. The analysis results with a COV of 0.15 exhibited a slightly higher maintenance cost than those with current COV. The total maintenance costs can be adjusted if the initial repair timing is extended to the largest possible extent for the highest-repair-cost process since the total repair cost is dominated by the process with the highest repair cost.

Suggested Citation

  • Yong-Sik Yoon & Yong-Han Ahn & Xiao-Yong Wang & Seung-Jun Kwon, 2021. "Total Repair Cost Simulation Considering Multiple Probabilistic Measures and Service Life," Sustainability, MDPI, vol. 13(4), pages 1-15, February.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:4:p:2350-:d:503624
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    References listed on IDEAS

    as
    1. Sanghyo Lee & Yonghan Ahn, 2018. "Analyzing the Long-Term Service Life of MEP Using the Probabilistic Approach in Residential Buildings," Sustainability, MDPI, vol. 10(10), pages 1-15, October.
    2. Soyeon Park & Yonghan Ahn & Sanghyo Lee, 2018. "Analyzing the Finishing Works Service Life Pattern of Public Housing in South Korea by Probabilistic Approach," Sustainability, MDPI, vol. 10(12), pages 1-15, November.
    3. Seung-Jun Kwon, 2017. "Current Trends of Durability Design and Government Support in South Korea: Chloride Attack," Sustainability, MDPI, vol. 9(3), pages 1-18, March.
    4. Roh, Seungjun & Tae, Sungho & Suk, Sung Joon & Ford, George, 2017. "Evaluating the embodied environmental impacts of major building tasks and materials of apartment buildings in Korea," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 135-144.
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