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天然结构性软土解构规律及参数分析
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作者 王智超 蒋明镜 +1 位作者 陈双林 蔡军 《防灾减灾工程学报》 CSCD 北大核心 2015年第4期508-514,共7页
以Bothkennar和Pisa粘土率无关结构性特征试验为基础,对2类基于实测数据的典型解构函数特点进行分析比较,完善了参数评价及取值方法;进一步结合天然Batiscan粘土的CRS以及固结蠕变等率相关结构性特征试验结果,在解构函数中引入了率敏性... 以Bothkennar和Pisa粘土率无关结构性特征试验为基础,对2类基于实测数据的典型解构函数特点进行分析比较,完善了参数评价及取值方法;进一步结合天然Batiscan粘土的CRS以及固结蠕变等率相关结构性特征试验结果,在解构函数中引入了率敏性影响,并利用CRS试验数据对率相关性解构函数的合理性进行了验证。结果表明,2类解构函数都能较好地反映率无关与率相关屈服解构过程,预测结果与试验数据吻合良好。 展开更多
关键词 软土 结构性 解构函数 率相关
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Exponential stability and existence of periodic solutions for a class of recurrent neural networks with delays 被引量:1
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作者 戴志娟 《Journal of Southeast University(English Edition)》 EI CAS 2006年第2期286-293,共8页
Both the global exponential stability and the existence of periodic solutions for a class of recurrent neural networks with continuously distributed delays (RNNs) are studied. By employing the inequality α∏k=1^m ... Both the global exponential stability and the existence of periodic solutions for a class of recurrent neural networks with continuously distributed delays (RNNs) are studied. By employing the inequality α∏k=1^m bk^qk≤1/r ∑qkbk^r+1/rα^r(α≥0,bk≥0,qk〉0,with ∑k=1^m qk=r-1,r≥1, constructing suitable Lyapunov r k=l k=l functions and applying the homeomorphism theory, a family of simple and new sufficient conditions are given ensuring the global exponential stability and the existence of periodic solutions of RNNs. The results extend and improve the results of earlier publications. 展开更多
关键词 recurrent neural network global exponential stability periodic solution delay HOMEOMORPHISM Lyapunov function
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Analytic Study on a Plane Stress Tensile Crack in a Power-Law Hardening Material
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作者 王文信 张良欣 范天佑 《Journal of Beijing Institute of Technology》 EI CAS 1998年第3期252-256,共5页
Aim To construct an analytic solution for the asymptotic field near a tensile cracktip of power-law hardening material under Plane stress condition. Methods Constructing funtion method was used. Results The exact as... Aim To construct an analytic solution for the asymptotic field near a tensile cracktip of power-law hardening material under Plane stress condition. Methods Constructing funtion method was used. Results The exact asymptotic field was found. Conclusion The exact analytic solution for the problem is available. 展开更多
关键词 power-law hardening plane stress constructing function method analytic solution
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Objective Reduction Solutions to Higher-Order Boussinesq System in (2+1)-Dimensions
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作者 HU Ya-Hong ZHENG Chun-Long 《Communications in Theoretical Physics》 SCIE CAS CSCD 2009年第1期47-52,共6页
With the help of an objective reduction approach (ORA), abundant exact solutions of (2+1)-dimensional higher-order Boussinesq system (including some hyperboloid function solutions, trigonometric function solutio... With the help of an objective reduction approach (ORA), abundant exact solutions of (2+1)-dimensional higher-order Boussinesq system (including some hyperboloid function solutions, trigonometric function solutions, and a rational function solution) are obtained. It is shown that some novel soliton structures, like single linearity soliton structure, breath soliton structure, single linearity y-periodic solitary wave structure, libration dromion structure, and kink-like multisoliton structure with actual physical meaning exist in the (2+1)-dimensional higher-order Boussinesq system. 展开更多
关键词 objective reduction approach higher-order Boussinesq exact solution localized excitation
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Joint semiparametric mean-covariance model in longitudinal study 被引量:3
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作者 MAO Jie ZHU ZhongYi 《Science China Mathematics》 SCIE 2011年第1期145-164,共20页
Semiparametric regression models and estimating covariance functions are very useful for longitudinal study. To heed the positive-definiteness constraint, we adopt the modified Cholesky decomposition approach to decom... Semiparametric regression models and estimating covariance functions are very useful for longitudinal study. To heed the positive-definiteness constraint, we adopt the modified Cholesky decomposition approach to decompose the covariance structure. Then the covariance structure is fitted by a semiparametric model by imposing parametric within-subject correlation while allowing the nonparametric variation function. We estimate regression functions by using the local linear technique and propose generalized estimating equations for the mean and correlation parameter. Kernel estimators are developed for the estimation of the nonparametric variation function. Asymptotic normality of the the resulting estimators is established. Finally, the simulation study and the real data analysis are used to illustrate the proposed approach. 展开更多
关键词 generalized estimating equation kernel estimation local linear regression modified Cholesky decomposition semiparametric varying-coefficient partially linear model
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