期刊文献+
共找到2篇文章
< 1 >
每页显示 20 50 100
Accurate quantum critical points and nonlocal string order parameters in the spin tetrahedron chain
1
作者 Zhi-Yong Wu Kai-Ming Zhang Li-Xiang Cen 《Chinese Physics B》 2025年第11期139-146,共8页
The ground-state phase diagram and nonlocal order parameters of an infinite spin tetrahedron chain with inhomogeneous exchange couplings are investigated.It is shown that the phase boundaries of the three phases in th... The ground-state phase diagram and nonlocal order parameters of an infinite spin tetrahedron chain with inhomogeneous exchange couplings are investigated.It is shown that the phase boundaries of the three phases in the model can be determined precisely,in line with the precision of its ground-state energy.Numerical calculations using the regularized time-evolving block decimation(rTEBD)algorithm yield the locations of the two quantum critical points with an accuracy about 10 digits.Moreover,we explain how to calculate the parity-associated string order for the output wave function obtained through the rTEBD procedure,which not only reveals the presence of long-range correlations but also identifies the symmetry-protected topological order within the intermediate phase of the model. 展开更多
关键词 quantum phase transition time-evolving block decimation algorithm string order
原文传递
LS-SVM and Monte Carlo methods based reliability analysis for settlement of soft clayey foundation 被引量:5
2
作者 Yinghe Wang Xinyi Zhao Baotian Wang 《Journal of Rock Mechanics and Geotechnical Engineering》 SCIE CSCD 2013年第4期312-317,共6页
A method which adopts the combination of least squares support vector machine(LS-SVM) and Monte Carlo(MC) simulation is used to calculate the foundation settlement reliability.When using LS-SVM,choosing the traini... A method which adopts the combination of least squares support vector machine(LS-SVM) and Monte Carlo(MC) simulation is used to calculate the foundation settlement reliability.When using LS-SVM,choosing the training dataset and the values for LS-SVM parameters is the key.In a representative sense,the orthogonal experimental design with four factors and five levels is used to choose the inputs of the training dataset,and the outputs are calculated by using fast Lagrangian analysis continua(FLAC).The decimal ant colony algorithm(DACA) is also used to determine the parameters.Calculation results show that the values of the two parameters,and δ2 have great effect on the performance of LS-SVM.After the training of LS-SVM,the inputs are sampled according to the probabilistic distribution,and the outputs are predicted with the trained LS-SVM,thus the reliability analysis can be performed by the MC method.A program compiled by Matlab is employed to calculate its reliability.Results show that the method of combining LS-SVM and MC simulation is applicable to the reliability analysis of soft foundation settlement. 展开更多
关键词 Foundation settlement Reliability analysis Least squares support vector machine(LS-SVM) Monte Carlo(MC) simulation Decimal ant colony algorithm(DACA)
在线阅读 下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部