American Society of Civil Engineers


Application of Fuzzy Logic to Improve Pipeline Transport Management


by Yutao Liu, (Doctoral candidate, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiaotong University; No.800, Dongchuan Road, Minhang District, Shanghai 200240 E-mail: liuyt@sjtu.edu.cn) and Hao Hu, (doctoral supervisor, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiaotong University; No.800, Dongchuan Road, Minhang District, Shanghai 200240 E-mail: hhu@sjtu.edu.cn)
Section: Pipeline Risk Management, pp. 1227-1239, (doi:  http://dx.doi.org/10.1061/9780784412619.125)

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Document type: Conference Proceeding Paper
Part of: ICPTT 2012: Better Pipeline Infrastructure for a Better Life
Abstract: To keep a good balance between precision and practicality and efficiently handle the pervasive vagueness information in pipeline transportation, a comprehensive framework entitled Pipeline Fuzzy Hazardous Index Method (PFHIM) is developed by combining the extensively used Pipeline Hazardous Index Method (PHIM) with the fuzzy logic theory. A modular and hierarchical structure of failure likelihood assessment about the third-party damage is established to denote the PFHIM in detail and specify the fuzzy inference process. A case study with regard to a hypothetical pipeline is given so as to compare the performance of PFHIM with PHIM. The results indicates that with the basically consistent assessment conclusions, the PFHIM does better in more realistically and predictive modeling, more detailed indicators classification and evaluation and less troublesome in re-weighting.


ASCE Subject Headings:
Fuzzy sets
Pipelines
Risk management