Assessing Failure of Bridge Construction Using Fuzzy Fault Tree Analysis

Pan, Nang-Fei; Wang, Huaitien

doi:10.1109/fskd.2007.193

Cited by 28 publications

(11 citation statements)

References 6 publications

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“…Fuzzy probability X 2 (0.11,0.046,0.11) X 14 (0.049,0.069,0.049) X 3 (0.032,0.054,0.032) X 15 (0.085,0.044,0.085) X 4 (0.073,0.041,0.073) X 16 (0.096,0.059,0.096) X 5 (0.08,0.049,0.08) X 17 (0.08,0.037,0.08) X 6 (0.935,0.344,0.935) X 18 (0.085,0.044,0.085) X 7 (0.091,0.061,0.091) X 19 (0.039,0.028,0.039) X 8 (0.096,0.044,0.096) X 20 (0.071,0.055,0.071) X 9 (0.096,0.044,0.096) X 21 (0.095,0.038,0.095) X 10 (0,0.101,0) X 22 (0.151,0.084,0.151) X 11 (0.805,0.258,0.805) X 23 (0.033,0.086,0.033) X 12 (0.109,0.099,0.109) X 24 (0.24,0.126,0.24) X 13 (0.078,0.050,0.078) The calculation result is Q u = 0.02055. Through the above calculation, we can obtain the values of Q l , Q m , and Q u .…”

Section: Basic Eventmentioning

confidence: 99%

“…Tanaka et al 14 applied fuzzy theory in the FTA technique for safety assessment of a certain system. [15][16][17] Despite many publications on FTA, few studies have been devoted to the fuzzy fault tree analysis (FFTA) technique for underground coal mine methane explosion. First, in this study the fault tree of coal working face and heading face was used to analyze the influential factors and processes of coal mine gas explosion.…”

Section: Introductionmentioning

confidence: 99%

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Fuzzy fault tree analysis for gas explosion of coal mining and heading faces in underground coal mines

Shi

Jiang

Meng

et al. 2018

Advances in Mechanical Engineering

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During the past decade, gas explosions have been one of the most serious types of disasters in China, threatening the lives of miners and causing significant losses in terms of national property. This article, by constructing the fuzzy fault tree model of gas explosion on the coalface and heading face, deduces the minimum cut sets and minimum path of the fault tree, analyzes the importance of the fault tree structure, and obtains the ratio of gas explosion. The results show that the isolation of gas and heat sources is the most effective way to prevent gas explosion. In addition, a close detection of gas concentration and appropriate treatment can also avoid explosive accidents by reducing the ratio of explosion to below 0.059%, which is the critical value of explosion. The probability of gas explosion occurred in coal working face is about 0%-2.055%, and the most likely probability is 0.059%. However, the probability of gas explosion occurred in heading face is about 0%-8.543%, and the most probability likely to occur is 0.772% which is larger than that in coal working face. The fuzzy fault tree can not only be applied in the analysis of the coal mining gas explosion, but it also provides the theoretical basis for the precaution and prevention of coal mining accidents.

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Section: Basic Eventmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Fuzzy fault tree analysis for gas explosion of coal mining and heading faces in underground coal mines

Shi

Jiang

Meng

et al. 2018

Advances in Mechanical Engineering

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“…Ping et al (2007) presented a method which overcomes the drawbacks of traditional FTA by using possibilistic measures and fuzzy logic. Pan and Wang (2007) used FFTA for assessing failures of bridge construction. Purba et al (2013) applied a fuzzy reliability assessment of basic events of fault trees through qualitative data processing from nuclear power plant operating experiences and compared with the available actual failure probabilities.…”

Section: Introductionmentioning

confidence: 99%

Applications of fuzzy faulty tree analysis and expert elicitation for evaluation of risks in LPG refuelling station

Rajakarunakaran¹,

Kumar²,

Prabhu

2015

Journal of Loss Prevention in the Process Industries

122

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“…Fault tree analysis (FTA) is one of the best‐known methods for identifying and analyzing a system's failure scenarios and calculating its overall reliability. Because fault trees are able to model interactions between various basic events (BEs), they can be utilized in complex risk assessment environments like nuclear power plants, mechanical systems and in the construction industry . FTA employs two basic assumptions: (i) the first one is that the likelihood values of input events are known, and (ii) the second one requires independence between BEs .…”

Section: Introductionmentioning

confidence: 99%

Fast Fault Tree Analysis for Hybrid Uncertainties Using Stochastic Logic Implemented on Field‐Programmable Gate Arrays: An Application in Quantitative Assessment and mitigation of Welding Defects Risk

Shoar

Zarandi

Nasirzadeh

et al. 2016

Quality & Reliability Eng

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This paper presents a stochastic logic-based method for quantitative risk assessment using fault tree analysis (FTA) that can take into account both types of uncertainties including objective and subjective uncertainties. In the proposed method, each fault tree gate is translated to its corresponding stochastic logic template and then is implemented on a field programmable gate array (FPGA). Because the analysis does not utilize any transformation methods, the results of analysis are more accurate than those methods which are based on transformation from possibility to probability distributions or vice versa. Experimental results for a benchmark fault tree show that this method accelerates analysis time compared to conventional hybrid uncertainty analysis method and transformation methods. The efficiency of the proposed method is demonstrated by implementation in a real steel structure project. The quantitative risk assessment is performed for the incomplete penetration as one of the defects encountered in arc welding process, and its results are compared with transformation methods. The comparison results show the proposed hybrid uncertainty analysis method is also more accurate in comparison to the transformation-based approaches.

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Assessing Failure of Bridge Construction Using Fuzzy Fault Tree Analysis

Cited by 28 publications

References 6 publications

Fuzzy fault tree analysis for gas explosion of coal mining and heading faces in underground coal mines

Fuzzy fault tree analysis for gas explosion of coal mining and heading faces in underground coal mines

Applications of fuzzy faulty tree analysis and expert elicitation for evaluation of risks in LPG refuelling station

Fast Fault Tree Analysis for Hybrid Uncertainties Using Stochastic Logic Implemented on Field‐Programmable Gate Arrays: An Application in Quantitative Assessment and mitigation of Welding Defects Risk

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