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In this paper,a genetic algorithm based Tikhonov regularization method is proposed for determination of globally optimal regularization factor in displacement reconstruction.Optimization mathematic models are built by using the generalized cross-validation(GCV)criterion,L-curve criterion and Engl's error minimization(EEM)criterion as the objective functions to prevent the regularization factor sinking into the locally optimal solution.The validity of the proposed algorithm is demonstrated through a numerical study of the frame structure model.Additionally,the influence of the noise level and the number of sampling points on the optimal regularization factor is analyzed.The results show that the proposed algorithm improves the robustness of the algorithm effectively,and reconstructs the displacement accurately. 相似文献
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路线中桩测量计算编程初探 总被引:4,自引:0,他引:4
针对公路勘测条件的不同,阐述了目前常用的路线测量程序的编写方法,以及程序编写过程中经常遇到的问题及注意事项。 相似文献
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我国南方地区夏天高温多雨,沥青路面易受到降雨、高温耦合作用,沥青黏聚、黏附性能削弱,路面水损加剧,针对此问题,采用分子动力学模拟并结合宏观拉拔试验,深入分析沥青内部黏聚和沥青-集料界面黏附作用机理,及水温耦合作用对沥青内部黏聚和沥青-集料界面黏附性能的影响。结果表明:基质沥青黏聚性能受水温耦合作用影响较小,受温度影响较大;基质沥青-集料黏附性能经水温耦合作用下降37%,受温度影响较小;当加入ME改性剂后,相较于基质沥青,ME改性沥青黏聚性能提升近5倍,与集料黏附性能提升103.9%,且ME改性沥青黏聚、黏附特性基本不受温度、水和水温耦合作用影响,可保持极高稳定性。 相似文献
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