Abstract

Nowadays, many methods have been used in the identification of bridge risk sources, and certain results have been achieved. However, the research on the identification of significant risk sources of bridges during the construction period is relatively weak, and these methods still have some defects, such as the correlation between risk sources is not considered comprehensively, the dynamic risk sources are not fully considered, and the weight assignment is highly subjective. In order to solve these problems, this paper comprehensively uses the combination of expert scoring method, fuzzy analytic hierarchy process (F-AHP), and grey entropy correlation analysis (GECA) to identify significant risk sources during bridge construction. Firstly, the F-AHP and expert scoring method are used to initially identify safety sources during the bridge construction period, which effectively considers the identification of dynamic risk sources. Secondly, the combination of the GRA method and EW method is applied to identify the significant risk sources during bridge construction period, which can effectively analyze the interrelationship between different factors and greatly reduce the interference of subjective factors in the weight assignment, so as to effectively control the risks in construction and protect the health of the bridge structure and property losses. Finally, the feasibility and rationality of the proposed method were verified by comparing the AHP and GECA proposed in this paper in combination with specific engineering examples, which provides a reference basis for the identification of significant risk sources during the follow-up bridge construction period.

Highlights

  • With the needs of social development, bridge construction is developing in the direction of large spans and beautiful shapes, coupled with the widespread use of new materials and technologies, which inevitably poses a considerable challenge to today’s bridge building technology

  • In order to identify the risk sources of ship pilotage, Liang et al [6] comprehensively used the Delphi method for risk identification based on subjective information sources and prehazard analysis (PHA) for risk identification based on objective information sources for ship piloting risk source identification, which proposed a new method for ship pilotage risk identification

  • In the preliminary identification of risk sources, this paper uses the fuzzy analytic hierarchy process (F-analytic hierarchy process (AHP)), which reduces the consistency test compared with the AHP, and is simple to calculate in the process of determining the weights, and only requires the establishment of a comparison matrix between two, without the need for a complex calculation process, which is convenient for decision-makers to operate

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Summary

Introduction

With the needs of social development, bridge construction is developing in the direction of large spans and beautiful shapes, coupled with the widespread use of new materials and technologies, which inevitably poses a considerable challenge to today’s bridge building technology. Zhang et al [13] took the construction of a high-pier and large-span bridge in a mountainous area as an example, through the analytic hierarchy process, identified its possible risk sources, and the results and conclusions of the analysis were consistent with the analysis conclusions of the causes of safety accidents in the bridge construction, verifying the feasibility of the method This method is generally more complicated to calculate, and it greatly exerts human subjectivity in the process of weight determination. (iii) e rationality and applicability of the GECA has been studied through actual engineering projects and compared to AHP, verified the feasibility of the method, and provided a reference for the identification of significant risk sources during the subsequent bridge construction period.

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