Truck Crane Hoisting Boom Reliability Analysis Based on Probabilistic and Interval Hybrid Model and Bayesian Network

Abstract:

The accidents of truck crane happen frequently during working because of the structure failure of hoist boom, which result in severe economic loss and casualties. So, the method combining probabilistic and interval hybrid reliability theory with Bayesian Network is proposed to analyze the reliability of hoist boom structure. Probabilistic and interval hybrid model is built aiming at the interval variables and random variables to calculate the failure probability of hoisting boom under different conditions. Bayesian Network model is applied to calculate the importance index of different failure causes. In the end of the paper, practical example is given to illustrate the validity and efficiency of the present approach, which can provide basis for hoist boom design based on reliability.

• Periodical: Applied Mechanics and Materials (Volume 607)
• Pages: 235-241
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.607.235
• Online since: July 2014
• Authors: Qi Sun*, Zheng Yi Xie, Fu Zheng Qu
• Keywords: Bayesian Network (BN), Interval Hybrid Model, Probabilistic, Reliability Analysis

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