TN202 : Ranking of risks by multiple criteria decision making for TBMs Machines
Thesis > Central Library of Shahrood University > Mining, Petroleum & Geophysics Engineering > MSc > 2012
Authors:
Abstarct: There are many variables that make ground conditions unpredicted and uncertain in Tunnel and underground constructions. It could endanger the safety or economy of project. Evaluating and ranking of risky projects like mechanized tunneling is necessary to manage and respond to the associated risks, this required to identification of risk factors. In this study by help of experienced technicians and geological study to identify risking factors, eight (category) level of risk are considered. The most important factors of risk are water inflows, gas emotions, face instability, roof and wall instability, squeezing, swelling of rock, mixed face conditions and clogging of soil. The main problems of these risks and ways to predict and prevent have been discussed.
Probability factors and impact factor are using in ideal risk analysis but in this study we use both of ideal and some supplementary factor like uncertainty of estimate and risk manageability. Some multi criteria decision making technique like Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), Analytical Hierarchy Process (AHP), and Fuzzy Technique for Order Preference by Similarity to Ideal Solution (FTOPSIS) and Fuzzy Analytical Hierarchy Process (FAHP) are used to ranking of risk. To normalized ranking of risk in all techniques, aggregate methods like Rank means, Borda method and Copeland method are used. In final squeezing and face instability are high level and gas emotions clogging of soil are less level of risk.
Keywords:
#risk management #geology risk #multi criteria decision making #Golab tunnel Link
Keeping place: Central Library of Shahrood University
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Keeping place: Central Library of Shahrood University
Visitor: