Modeling of risk assessment for stay cable based on improved ALARP

Yafei Wang,Shuang Sun, Jiwei Zhong, Zhaoyuan Xu,Dongsheng Wei

2022 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS)(2022)

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摘要
The establishment of an accurate model for the risk assessment of stay cables can effectively avoid accidents and prolong the service life of stay cables. This paper proposes an improved risk assessment method based on ALARP criterion and cloud model theory. Firstly, the risk matrix is formed by using risk probability and risk loss. The inherent uncertainty is considered through the evaluation process, and the risk level is described by cloud model. Then, the cloud samples of evaluation indicators are generated according to the ranking of experts, and further transmitted to the forward cloud generator to obtain the certainty level. Finally, the effectiveness and rationality of the improved ALARP method are compared with the traditional method. The results show that the maximum error can be reduced by 54.18%. The improved ALARP principle proposed in this paper can be used as an effective basis for the management and maintenance of stay cables.
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关键词
risk evaluation,stay cables,cloud model,ALARP principle,risk matrix
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