선택한 단어 수는 입니다.
최소 단어 이상 선택하여야 합니다.
최소 단어 이상 선택하여야 합니다.
선택한 단어 수는 30입니다.
최대 10 단어까지만 선택 가능합니다.
최대 10 단어까지만 선택 가능합니다.
제안 방법
- Based on Kleiner (2006)’s development of a reliable decision-making tool for the repair and replacement of deteriorated pipes based on fuzzy technique and the markov process, the present study used the PDP and Pipe Failure Risk Prediction (PFRP) models via the following three-stage process.
- By focusing on the fact that volumetric water flowability is directly dependant on the size of the pipe diameter, this study adopted a subfactor of pipe diameter as the determinants for "predicted failure consequences"; more specifically, by relying on lost water volume in the case of pipe fracture (failure) and the number of households cut off for water supply by using fuzzy technique based on the 9 grades (from extremely low to extremely severe).
- The deterioration of 32 water mains pipelines was assessed using data obtained from the analysis and investigation of multi-regional waterworks and industrial waterworks with respect to facility data, burial environment, pipe state, outer state, inner state, soil corrosivity, microbial characteristics, construction state, management state, historical data, physical strength, chemical composition, and water corrosion. Among these factors, deterioration assessment was carried out with pipelines and assessment indices that showed relatively suitable results and were readily assessable.
- In the second stage, the PDP model was developed by using fuzzy deterioration to estimate the fuzzificated degree of deterioration in the above first stage, as well as the markov process and pipe ages. The values in deterioration velocity and remaining lifetime of the targeted 32 mains were calculated by controlling the PDP model in such a way as to minimize the summed value of the square of the difference between the predicted value and the actual measured value against fuzzy deterioration.
- Therefore, this study aims to develop the water pipe deterioration prediction model using the fuzzy technique and markov process by Kleiner(2006) and to examine its applicability.
- 2 is changed. Using this method, PDP modeling was finalized in the pertinent piping network so as to minimize the summed value of the square of the difference between the predicted value and actual measured value.
대상 데이터
- The 32 pipelines were largely used for conveying raw water, treated water, or industrial water. The pipe material was CIP, DCIP, SP, or PC, and they were mostly large pipes with diameters ranging from 300mm to 2,200mm.
이론/모형
- This study used a generalized fuzzy rule-set, as shown in Table 2. The proposed fuzzy rule-set, however, is fully modifiable based on empirical grounds.
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