All Issue

2025 Vol.58, Issue 10 Preview Page

Research Article

Advancement and practical application of cumulative damage rate calculation model for water distribution system

상수도관망의 누적피해도 산정 모형의 고도화 및 실제 적용

Jin Woo Hana
,
Hyuk Jae Kwonb*
한 진우a
,
권 혁재b*
aDoctoral Student, Department of Civil Engineering, Cheongju University, Cheongju, Korea
bProfessor, Department of Civil Engineering, Cheongju University, Cheongju, Korea
a청주대학교 토목공학과 박사과정
b청주대학교 토목공학과 교수
*Corresponding Author
31 October 2025. pp. 857-867
PDF XML Citation
Abstract

In this study, a cumulative damage rate assessment model was enhanced by systematically deriving the modification factor and usage limit to quantitatively evaluate the damage rate of water distribution rate pipes according to the increase in service years. The modification factor was calibrated such that the cumulative damage rate reaches 1 when a pipe with 20 years of service life is used for an additional 50 years. The usage limit was defined as the cumulative damage rate value reached after 30 additional years of service for pipes already in use for 20 years. To ensure the reliability of the model, the final modification factor was determined by comparing the results of the direct pipe condition assessment and those derived from the cumulative damage rate-based condition assessment model, selecting the factor that showed the highest level of agreement. The refined model was applied to the water distribution system in Naedeok 2-dong, Cheongju City. As a result, Pipe No. 6 was found to be the first to reach the usage limit after 12 years of service, while Pipe No. 15 reached the limit last, after 31 years. The analysis confirmed that the cumulative damage rate of water pipes is influenced not only by service years but also by various factors such as pressure and pipe wall thickness. This validates the proposed model’s capability to quantitatively assess cumulative damage rate as service time increases.

Keywords
Cumulative damage rate
Modification factor
Usage limit
Water distribution system

본 연구에서는 상수도관의 매설 경과년수 증가에 따른 피해도를 정량적으로 평가하기 위해 누적피해도 산정 모형의 보정계수와 사용한계를 체계적으로 도출하고 이를 통해 모형을 고도화하였다. 또한 고도화된 모형을 실제 상수도관망에 적용하여 누적피해도를 분석하였다. 매설 경과년수가 20년인 상수도관이 50년 경과했을 때 누적피해도가 1이 도달하도록 보정계수를 결정하였으며 사용한계는 매설 경과년수가 20년에 도달한 상수도관이 앞으로 30년 경과하였을 때 누적피해도 값을 사용한계로 결정하였다. 이후 실제 상수도관의 직접평가법 결과와 누적피해도 분석 모형을 적용한 상태평가법 분석 결과의 비교를 통해 일치도가 가장 높은 보정계수를 최종 보정계수로 결정하여 모형의 신뢰성을 확보하였다. 청주시 내덕2동 상수도관망에 적용하여 개별 상수도관의 누적피해도를 분석한 결과, 매설 경과년수가 12년 경과하였을 경우 6번 상수도관에서 가장 먼저 사용한계에 도달하였다. 그리고 매설 경과년수가 31년 경과하였을 경우 15번 상수도관에서 가장 늦게 사용한계에 도달하였다. 분석 결과, 상수도관의 누적피해도는 매설연수뿐 아니라 수압, 관두께 등 다양한 요인의 영향을 받는 것으로 나타났으며 본 연구에서 고도화한 모형은 매설 경과년수 증가에 따른 누적피해도를 정량적으로 분석할 수 있음을 검증하였다.

키워드
누적피해도
보정계수
사용한계
상수도관망
References
1

Caleyo, F., Gonzalez, J.L., and Hallen, J.M. (2002). “A study on the reliability assessment methodology for pipelines with active corrosion defect.” International Journal of Pressure Vessels and Piping, Vol. 79, No. 1, pp. 77-86.

10.1016/S0308-0161(01)00124-7
2

Choi, T.H., Choi, M.A., Lee, H.D., and Koo, J.Y. (2016). “Deterioration prediction model of water pipes using fuzzy techniques.” Journal of the Korean Society of Water and Wastewater, Vol. 30, No. 2, pp. 155-165.

10.11001/jksww.2016.30.2.155
3

Choi, Y.H., Kim, N.J., and Kim, T.G. (2024) “Development of a machine-learning-based framework to assess the performance of water distribution systems.” Journal of the Korean Society of Hazard Mitigation, Vol. 24, No. 5, pp. 49-61.

10.9798/KOSHAM.2024.24.5.49
4

Kim, E.S. (2003). “Development of optimal rehabilitation model for water distribution system based on prediction of pipe deterioration (I) - Theory and development of model.” Journal of Korea Water Resources Association, Vol. 36, No. 1, pp. 45-59.

10.3741/JKWRA.2003.36.1.045
5

Kim, G.T., Min, B.W., and Oh, Y.S. (2022) “Model analysis of AI- based water pipeline improved decision.” The Korea Internet of Things Society, Vol. 8, No. 5, pp. 11-16.

6

Kim, H.K., and Kwon, H.J. (2024). “Cumulative damage calculation model for water distribution system with increasing service year.” Journal of Korea Water Resources Association, Vol. 57, No. 8, pp. 561-569.

10.3741/JKWRA.2024.57.8.561
7

Korea Development Institue (KDI) (2013). Metropolitan area (II) water supply reliability enhancement project.

8

Lee, S.M., and Kang, D.S. (2018). “Water pipe deterioration assessment using ANN-Clustering.” Journal of Korea Water Resources Association, Vol. 51, No. 11, pp. 959-969.

10.3741/JKWRA.2018.51.11.959
9

Ministry of Environment (ME) (2021). Water distribution network diagnosis manual.

10

Ministry of Environment (ME) (2024) 2023 Statistics of waterworks.

11

Park, S.W., Kim, T.Y., Lim, K.Y., and Jun, H.D. (2011). “Fuzzy techniques to establish improvement priorities of water pipes.” Journal of Korea Water Resources Association, Vol. 44, No. 11, pp. 903-913.

10.3741/JKWRA.2011.44.11.903
12

Romanoff, M. (1957). Underground corrosion. National Bureau of Standards, Circular 579, US Government Printing Office, Washington DC, U.S.

Information
  • Publisher :KOREA WATER RESOURECES ASSOCIATION
  • Publisher(Ko) :한국수자원학회
  • Journal Title :Journal of Korea Water Resources Association
  • Journal Title(Ko) :한국수자원학회 논문집
  • Volume : 58
  • No :10
  • Pages :857-867
  • Received Date : 2025-07-22
  • Revised Date : 2025-08-08
  • Accepted Date : 2025-08-20
  • DOI :https://doi.org/10.3741/JKWRA.2025.58.10.857
Journal Informaiton Journal of Korea Water Resources Association Journal of Korea Water Resources Association
Online Submission
Archives
  • scopus
  • KCI-수자원
  • NRF
  • KOFST
  • KISTI Current Status
  • KISTI Cited-by
  • crosscheck
  • orcid
  • open access
  • ccl
Journal Informaiton Journal Informaiton - close