区域软土地基震陷评估的条件广义方差极小-盲数耦合分析
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摘要
针对区域软土地基震陷评估中存在的问题,选取条件广义方差极小法和盲数理论作为基础模型,提出一种耦合评估思路,并设计和建立基于少量参数的耦合式评估模型。该模型首先采用条件广义方差极小法筛选出最具影响性的因素,然后通过完全二次项回归方法拟合出各关键影响因素与震陷量之间的计算关系;最后根据盲数理论计算震陷量的可能值与可信度,从而实现区域地基土震陷等级评价。为了验证耦合模型的适用性和准确性,对实际样本数据进行建模计算,取得较好的评价结果,为区域地基土震陷评估提供一种新的思路。
Coupling model with a few parameters, which was based on conditional generalized minimum variance method and blind number theory, was established in this paper to evaluate the regional foundation subsidence in soft soil area. Firstly, the most critical influences were filtered by conditional generalized minimum variance method. Secondly, the relati onship between key factors and seismic depression were calculated a ccording quadratic regression model. Finally, possible values and faith degree of seismic depression were obtained by blind number theory to evaluate the regional foundation settlement. The applicability and accuracy of the model were proved by instance analysis and the results showed that effect was good. The method in this paper provided a new way for evaluating the regional foundation settlement.
Coupling model with a few parameters, which was based on conditional generalized minimum variance method and blind number theory, was established in this paper to evaluate the regional foundation subsidence in soft soil area. Firstly, the most critical influences were filtered by conditional generalized minimum variance method. Secondly, the relati onship between key factors and seismic depression were calculated a ccording quadratic regression model. Finally, possible values and faith degree of seismic depression were obtained by blind number theory to evaluate the regional foundation settlement. The applicability and accuracy of the model were proved by instance analysis and the results showed that effect was good. The method in this paper provided a new way for evaluating the regional foundation settlement.
引文
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[2]李冬,陈培雄,吕小飞,等.软土地震震陷研究现状综述[J].工程抗震与加固改造,2011,33(2):130-135(Li Dong,Chen Peixiong,Lu Xiaofei,et al.Research progress summarization of soft soil earthquake subsidence[J].Earthquake Resistant Engineering and Retrofitting,2011,33(2):130-135(in Chinese))
[3]刘勇健.人工神经网络原理在建筑物震陷预测中的应用[J].地震研究,2001,24(3):262-266(Liu Yongjian.The application of principle of artificial neural networks to prediction of building s ettlements due to earthquake liquefaction[J].Journal of Seismological Research,2001,24(3):262-266(in Chinese))
[4]赵国杰,张炜熙.河北省海岸带经济脆弱性评价[J].河北学刊,2006,26(2):227-229(Zhao Guojie,Zhang Weixi.A case study on vulnerability of economy in the Hebei province coastal zone[J].Hebei Academic Journal,2006,26(2):227-229(in Chinese))
[5]汪明武,李丽,金菊良.基于盲数理论的液化等级风险评价模型[J].岩土工程学报,2010,32(2):303-307(Wang Mingwu,Li Li,Jin Ju liang.Application of unascertained number theory to risk evaluation of liquefaction grade[J].Chinese Journal of Geotechnical Engineering,2010,32(2):303-307(in Chinese))
[6]石博强,赵德祥,李海鹏,等.基于盲数理论的最优化方法与程序实现[J].北京科技大学学报,2007,29(5):523-527(Shi Boqiang,Zhao Dexiang,Li Haipeng,et al.Op timization method and computer program based on the blind number theory[J].Journal of University of Science and Technology Beijing,2007,29(5):523-527(in Chinese))
[7]高峰,张志镇,高亚楠,等.基于盲数理论的冲击地压危险性评价模型[J].煤炭学报,2010,35(S):28-32(Gao feng,Zhang Zhizhen,Gao Yan an,et al.Evaluation model of rock burst risk in mining based on blind data theory[J].Journal of China Coal Society,2010,35(S):28-32(in Chinese))
[8]赵志峰,徐卫亚.基于盲数理论的边坡安全稳定分析研究[J].岩土力学,2007,28(11):2401-2404(Zhao Zhifeng,Xu Weiya.Slope stability analysis based on the blind data theory[J].Rock a nd Soil Mechanics,2007,28(11):2401-2404(in Chinese))
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