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地震荷载等效循环周数的预测模型

A predictive model on equivalent number of strain cycles for earthquake loads
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摘要 荷载等效循环周数的计算在分析地震动力响应中有重要作用。目前等效循环周数的计算方法大多是建立在累计损伤理论的基础上,这些方法一般需要已知地震时程曲线,而预测分析时并不知道实际的地震时程曲线,且等效转换处理较麻烦。为了解决以上问题,统计了涵盖不同震中距级别和震级级别的296条水平地震记录,计算出作用于相对密实度为45%的砂土的等效循环周数。基于统计分析的非线性混合效应模型,建立了单向及双向地震荷载等效循环周数与震级和震中距之间的预测模型。采用回归分析中常用的p值检验法及残差分布方法对预测模型进行检验,结果表明预测误差在合理范围内。通过实测值与预测值比较,证明了预测模型在统计意义上的可行性与准确性。 The equivalent number of strain cycles plays an important role in seismic response analyses. The existing calculation methods for the equivalent number of strain cycles are mostly based on accumulated damage theories. However, the time history of an earthquake load is required in the prediction using these methods, which is complicated in the equivalent conversion. In order to address these issues, 296 records of horizontal seismic time-history records, which cover different kinds of the epicenter distance and magnitude, are used in this study. The equivalent number of strain cycles is calculated for the sand with a relative density of 45% subjected to the selected earthquake load. Based on the statistical analysis using the nonlinear mixed-effects model, a predictive model for the equivalent number of strain cycles is proposed for both unidirectional and bi-directional earthquake loads. By examining the p-value and the residual distribution, the results show that the predictive values are reasonable. The proposed predictive model is validated by the measured data.
出处 《岩土工程学报》 EI CAS CSCD 北大核心 2015年第11期2040-2044,共5页 Chinese Journal of Geotechnical Engineering
基金 国家自然科学基金项目(41372271)
关键词 等效循环周数 混合效应模型 地震荷载 非线性回归分析 equivalent number of strain cycles mixed-effects model earthquake load nonlinear regression analysis
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  • 1孟上九,刘汉龙,袁晓铭,刘添华.可液化地基上建筑物不均匀震陷机制的振动台试验研究[J].岩石力学与工程学报,2005,24(11):1978-1985. 被引量:20
  • 2陈国兴,谢君斐,韩炜,张克绪.土体地震反应分析的简化有效应力法[J].地震工程与工程振动,1995,15(2):52-61. 被引量:25
  • 3沈智刚 Harder L F 等.随机荷载下砂土的动力反应[J].国外地震工程,1981,(1):52-58. 被引量:4
  • 4李永慈.2004.基于混合模型和度量误差模型方法研究生长收获模型的参数估计问题.北京林业大学学位论文,16. 被引量:1
  • 5Budhathoki C B, Lynch T 4. Individual tree growth ( Pinus echinata Mill. ) Silvicultural Conference, B, Guldin J M. 2005 February 28-March models for natural even-aged Shortleaf Pine Proceedings of the 13th Biennial Southern Memphis, TN. 被引量:1
  • 6Calama R, Montero G. 2004.Interregional nonlinear height-diameter model with random coefficients for stone pine in spain. Canada Journal Forest Resource, 34: 150- 163. 被引量:1
  • 7Calegario N, Daniels R F, Maestri R, et al. 2005. Modeling dominant height growth based on nonlinear mixed-effects model: a clonal Eucalyptus plantation case study. Forest Ecology and Management,204:11 -21. 被引量:1
  • 8Chi E M, Reinsel G C. 1989. Models for longitudinal data with random effects and ar( 1 ) errors. Journal American Statistics Association, 84: 452. 被引量:1
  • 9Davidian M, Gallant A R. 1993.The nonlinear mixed effects model with a smooth random effects density. Biometric, 80: 475- 488. 被引量:1
  • 10Davidian M, Gihinan D M. 1995. Nonlinear models for repeated measurement data. New York: Chapman & Hall. 被引量:1

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