Study on Risk Assessment of Steel Pipe Pile Cofferdams in Geological Conditions of Water-Rich Sand Layers
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摘要: 钢管桩围堰作为桥梁基础工程的大型临时围护结构,在施工过程中面临着大量不确定风险因素,为精准评估钢管桩围堰的安全风险等级,增强项目应急管理能力,经为期1 a的现场实践和调查研究,提出了一种基于"组合赋权-云模型"风险评估模型,采用拉格朗日最小熵原理将所确定的主、客观权重进行结合,通过云模型的正、反向发生器输出评价语言,基于各数据所映射出的Ex、En和He三个数字特征给出了量化评估结果。以某公铁两用桥梁建设项目背景,针对富水砂层地质的钢管桩围堰工程进行实例分析,结果表明:评估结果较好,基本符合现场实际,在超熵He取0.03的条件下,钢管桩围堰整体评价云的数字特征为3.543 8、0.815 4、0.328 5处于较低风险,所提出的评估模型为钢管桩围堰的安全管理提供有效手段和科学依据。Abstract: As a large-scale temporary enclosure structure for bridge foundation projects, steel pipe pile cofferdams face a large number of uncertain risk factors during the construction process. In order to accurately evaluate the safety risk level of steel pipe pile cofferdams and enhance project emergency management capabilities, after a year of on-site practice and investigation, a risk assessment model based on the combination weighting-cloud model was proposed, which adopted the Lagrangian minimum entropy principle to combine the determined subjective and objective weights, and output the evaluation language with the forward and reverse generators of the cloud model. The evaluation language presented quantitative evaluation results based on the three digital characteristics of Ex, En and He mapped by various data. Taking a highway and railway combined bridge under construction as the project background, a case analysis was conducted on the steel pipe pile cofferdam project in the water-rich sand geology. The results indicated that the evaluation results were good and basically in line with the actual situation on site. In the condition of a super entropy He of 0.03, the numerical characteristics of the overall evaluation cloud of the steel pipe pile cofferdam were 3.543 8, 0.815 4 and 0.328 5. It was reflected the cofferdam was in a relatively low risk. The proposed evaluation model could provided effective means and scientific basis for the safety management of steel pipe pile cofferdams.
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Key words:
- risk assessment /
- steel pipe pile cofferdam /
- G1 method /
- CRITIC method /
- cloud model
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