Safety Risk Assessment Of An Underground Space Project In Tianjin

With the rapid advancement of the economy and science and technology,China’s urbanization process is also accelerating.This,in turn,has resulted in a rapid increase in the urban population.As the above-ground space gradually becomes insufficient to meet the demands of urban development,the exploration of underground space is gradually gaining prominence.Based on the statistics from relevant scholars,the occurrence of construction safety accidents in China has remained high in recent years.Of particular concern are the construction safety accidents related to underground space projects,which have gradually gained attention.The establishment of a systematic and scientific risk assessment system for underground space engineering construction is of utmost importance.Such a system plays a vital role in effectively managing the safety risks associated with underground space engineering construction.In this paper,the hierarchical holographic model(HHM)is employed to systematically identify risk factors for the entire project,considering multiple perspectives,dimensions,and levels.This approach facilitates the determination of an initial list of risk factors specific to underground space engineering construction.In order to make the risk factors more targeted and the evaluation results more reasonable and effective,the Vague set theory is used to quantitatively screen the preliminary risk factor identification list,and finally a risk factor list containing 6 first-class indicators and 22 second-class indicators is obtained,and a systematic and complete risk evaluation index for underground space engineering construction is established.In the subsequent stage,the COWA-G1 combination weighting method is employed to calculate the weights of safety risk assessment indices for underground space construction.This approach helps mitigate the singular influence of individual indices and effectively reduces the impact of subjective and objective factors.Simultaneously,this method incorporates the consideration of fuzziness,randomness,and uncertainty in the safety risk assessment of underground space engineering construction.It utilizes cloud model theory to comprehensively evaluate each primarylevel risk assessment index and the entire project,thereby determining the risk assessment level.Subsequently,a scientific,effective,and feasible risk assessment model for underground space engineering construction is established.Through cloud image analysis,the primary and secondary risk factors impacting the construction safety of underground space are identified.Targeted control measures are then proposed for these primary and secondary risk factors.Finally,the risk assessment system was applied to an underground construction project in Tianjin,China to test its suitability.The assessment determined that the project’s risk level was low,providing a scientific basis for decision-making in underground construction and allowing targeted measures to be taken to effectively reduce the project’s risk level.This has helped promote the development of underground construction projects.