| 基于组合赋权和灰色Euclid理论的深基坑支护方案优选 |
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| 引用本文： | 何亚伯,秦伟,汪洋.基于组合赋权和灰色Euclid理论的深基坑支护方案优选[J].中国安全生产科学技术,2016,12(3):94-97. |
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| 作者姓名： | 何亚伯 秦伟 汪洋 |
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| 作者单位： | （武汉大学 土木建筑工程学院，湖北 武汉 430072） |
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| 摘 要： | 提高深基坑开挖施工安全水平，综合考虑基坑支护方案影响因素的特点，建立基于博弈论组合赋权和灰色Euclid理论的基坑支护方案优选决策模型。首先，运用层次分析法（AHP）与信息熵法分别确定主客观权重。然后利用博弈集结模型对指标体系进行组合赋权，得到综合权重。最后，运用灰色Euclid理论评价优选模型进行深基坑支护方案的优选，同时结合工程实例进行验证。结果表明:运用博弈集结组合赋权和灰色Euclid理论模型选出方案A4为最优支护方案，结果与工程实际一致。
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| 关 键 词： | 基坑支护 博弈集结模型 组合赋权 灰色Euclid理论 方案优选 |
Optimization of supporting schemes for deep foundation pit based
on combined weight and grey Euclid theory |
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| HE Yabo,QIN Wei,WANG Yang.Optimization of supporting schemes for deep foundation pit based
on combined weight and grey Euclid theory[J].Journal of Safety Science and Technology,2016,12(3):94-97. |
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| Authors: | HE Yabo QIN Wei WANG Yang |
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| Affiliation: | (School of Civil Engineering, Wuhan university, Wuhan Hubei 430072, China) |
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| Abstract: | In order to improve the safety level in excavation construction of deep foundation pit, comprehensively considering the characteristics of influence factors for supporting schemes of foundation pit, an optimal decision model on supporting schemes of foundation pit was established based on the game theory combined weight and grey Euclid theory. At first, the analytic hierarchy process (AHP) and the information entropy method were applied to determine the subjective and objective weights. Then, the combination weighting was conducted on the index system by using the game aggregation model to obtain the comprehensive weight. Finally, the optimal evaluation model based on grey Euclid theory was used to make the optimization of supporting schemes for deep foundation pit, and a certain actual engineering case was used to verify the model. The results showed that the A4 was the optimal supporting scheme by using the game aggregation combination weighting and grey Euclid model, which was in agreement with the engineering practice. |
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| Keywords: | foundation pit supporting game aggregation model combined weight grey Euclid theory scheme optimization |
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