根据故障附加网络中有功功率的极性特征,提出了基于故障分量的有功功率极性比较式纵联保护原理。其主要思想是:发生内部故障时,附加网络中线路两端有功功率的极性相同;外部故障时两端有功功率的极性相反;正、反向出口处故障时不存在死...根据故障附加网络中有功功率的极性特征,提出了基于故障分量的有功功率极性比较式纵联保护原理。其主要思想是:发生内部故障时,附加网络中线路两端有功功率的极性相同;外部故障时两端有功功率的极性相反;正、反向出口处故障时不存在死区问题。借助PSCAD/EMTDC电磁暂态仿真软件,搭建500 k V输电线路模型,对所提方案的动作性能进行了仿真和验证。在此基础上,进一步对比分析了分相保护方案和三相保护方案,并提出了基于故障分量有功功率幅值特征的选相方法。理论分析和仿真结果表明,所提方案能够正确判别区内、外不同类型的故障,抗过渡电阻能力较强,出口故障无死区,两端数据无需严格同步,且不受无功因素影响。展开更多
This paper is devoted to the probabilistic stability analysis of a tunnel face excavated in a two-layer soil. The interface of the soil layers is assumed to be positioned above the tunnel roof. In the framework of lim...This paper is devoted to the probabilistic stability analysis of a tunnel face excavated in a two-layer soil. The interface of the soil layers is assumed to be positioned above the tunnel roof. In the framework of limit analysis, a rotational failure mechanism is adopted to describe the face failure considering different shear strength parameters in the two layers. The surrogate Kriging model is introduced to replace the actual performance function to perform a Monte Carlo simulation. An active learning function is used to train the Kriging model which can ensure an efficient tunnel face failure probability prediction without loss of accuracy. The deterministic stability analysis is given to validate the proposed tunnel face failure model. Subsequently, the number of initial sampling points, the correlation coefficient, the distribution type and the coefficient of variability of random variables are discussed to show their influences on the failure probability. The proposed approach is an advisable alternative for the tunnel face stability assessment and can provide guidance for tunnel design.展开更多
Based on the active learning Kriging(ALK)model and the Hashin failure criterion,this paper proposes a new reliability evaluationmodel for composite stiffened panels,and conducts a reliability analysis on the ultimate ...Based on the active learning Kriging(ALK)model and the Hashin failure criterion,this paper proposes a new reliability evaluationmodel for composite stiffened panels,and conducts a reliability analysis on the ultimate bearing capacity.In addition,this paper studies the importance ranking of input variables.By comparing the calculation results of the reliability model proposed in this paper with those of the Monte Carlo method,the accuracy and efficiency of the ALK model are verified by case studies.Finally,the effects of longitudinal elastic modulus and fiber-direction tensile strength on post-buckling failure probability are discussed,which provides significant reference and guidance for the optimization and design of composite stiffened plates.展开更多
The application of reliability analysis and reliability sensitivity analysis methods to complicated structures faces two main challenges:small failure probability(typical less than 10-5)and time-demanding mechanical m...The application of reliability analysis and reliability sensitivity analysis methods to complicated structures faces two main challenges:small failure probability(typical less than 10-5)and time-demanding mechanical models.This paper proposes an improved active learning surrogate model method,which combines the advantages of the classical Active Kriging–Monte Carlo Simulation(AK-MCS)procedure and the Adaptive Linked Importance Sampling(ALIS)procedure.The proposed procedure can,on the one hand,adaptively produce a series of intermediate sampling density approaching the quasi-optimal Importance Sampling(IS)density,on the other hand,adaptively generate a set of intermediate surrogate models approaching the true failure surface of the rare failure event.Then,the small failure probability and the corresponding reliability sensitivity indices are efficiently estimated by their IS estimators based on the quasi-optimal IS density and the surrogate models.Compared with the classical AK-MCS and Active Kriging–Importance Sampling(AK-IS)procedure,the proposed method neither need to build very large sample pool even when the failure probability is extremely small,nor need to estimate the Most Probable Points(MPPs),thus it is computationally more efficient and more applicable especially for problems with multiple MPPs.The effectiveness and engineering applicability of the proposed method are demonstrated by one numerical test example and two engineering applications.展开更多
Trapdoor stability has been widely studied by many researchers in the field of tunneling engineering.A general question being fre-quently asked is that why most sinkholes have a near-perfect circular shape on the grou...Trapdoor stability has been widely studied by many researchers in the field of tunneling engineering.A general question being fre-quently asked is that why most sinkholes have a near-perfect circular shape on the ground surface.This could be possibly explained by the current numerical study using finite element limit analysis under axisymmetric condition,where upper and lower bound solutions of active circular trapdoors are determined.The failure study of sinkholes and the associated failure mechanisms in this paper are for non-homogeneous clay with a linear increase of strength with depth under various cover depth ratios and dimensionless strength gra-dients.A design equation for predicting the stability solutions is also developed based on the novel three dimensional solutions using axisymmetry.展开更多
文摘根据故障附加网络中有功功率的极性特征,提出了基于故障分量的有功功率极性比较式纵联保护原理。其主要思想是:发生内部故障时,附加网络中线路两端有功功率的极性相同;外部故障时两端有功功率的极性相反;正、反向出口处故障时不存在死区问题。借助PSCAD/EMTDC电磁暂态仿真软件,搭建500 k V输电线路模型,对所提方案的动作性能进行了仿真和验证。在此基础上,进一步对比分析了分相保护方案和三相保护方案,并提出了基于故障分量有功功率幅值特征的选相方法。理论分析和仿真结果表明,所提方案能够正确判别区内、外不同类型的故障,抗过渡电阻能力较强,出口故障无死区,两端数据无需严格同步,且不受无功因素影响。
基金Projects supported by the China Scholarship Council
文摘This paper is devoted to the probabilistic stability analysis of a tunnel face excavated in a two-layer soil. The interface of the soil layers is assumed to be positioned above the tunnel roof. In the framework of limit analysis, a rotational failure mechanism is adopted to describe the face failure considering different shear strength parameters in the two layers. The surrogate Kriging model is introduced to replace the actual performance function to perform a Monte Carlo simulation. An active learning function is used to train the Kriging model which can ensure an efficient tunnel face failure probability prediction without loss of accuracy. The deterministic stability analysis is given to validate the proposed tunnel face failure model. Subsequently, the number of initial sampling points, the correlation coefficient, the distribution type and the coefficient of variability of random variables are discussed to show their influences on the failure probability. The proposed approach is an advisable alternative for the tunnel face stability assessment and can provide guidance for tunnel design.
基金supported by government-sponsored research projects(MJZ3-2N21).
文摘Based on the active learning Kriging(ALK)model and the Hashin failure criterion,this paper proposes a new reliability evaluationmodel for composite stiffened panels,and conducts a reliability analysis on the ultimate bearing capacity.In addition,this paper studies the importance ranking of input variables.By comparing the calculation results of the reliability model proposed in this paper with those of the Monte Carlo method,the accuracy and efficiency of the ALK model are verified by case studies.Finally,the effects of longitudinal elastic modulus and fiber-direction tensile strength on post-buckling failure probability are discussed,which provides significant reference and guidance for the optimization and design of composite stiffened plates.
基金supported by National Natural Science Foundation of China(Nos.51905430,51608446)the Fundamental Research Fund for Central Universities(No.3102018zy011)+1 种基金the supports of Alexander von Humboldt Foundation of Germanythe Top International University Visiting Program for Outstanding Young scholars of Northwestern Polytechnical University。
文摘The application of reliability analysis and reliability sensitivity analysis methods to complicated structures faces two main challenges:small failure probability(typical less than 10-5)and time-demanding mechanical models.This paper proposes an improved active learning surrogate model method,which combines the advantages of the classical Active Kriging–Monte Carlo Simulation(AK-MCS)procedure and the Adaptive Linked Importance Sampling(ALIS)procedure.The proposed procedure can,on the one hand,adaptively produce a series of intermediate sampling density approaching the quasi-optimal Importance Sampling(IS)density,on the other hand,adaptively generate a set of intermediate surrogate models approaching the true failure surface of the rare failure event.Then,the small failure probability and the corresponding reliability sensitivity indices are efficiently estimated by their IS estimators based on the quasi-optimal IS density and the surrogate models.Compared with the classical AK-MCS and Active Kriging–Importance Sampling(AK-IS)procedure,the proposed method neither need to build very large sample pool even when the failure probability is extremely small,nor need to estimate the Most Probable Points(MPPs),thus it is computationally more efficient and more applicable especially for problems with multiple MPPs.The effectiveness and engineering applicability of the proposed method are demonstrated by one numerical test example and two engineering applications.
文摘Trapdoor stability has been widely studied by many researchers in the field of tunneling engineering.A general question being fre-quently asked is that why most sinkholes have a near-perfect circular shape on the ground surface.This could be possibly explained by the current numerical study using finite element limit analysis under axisymmetric condition,where upper and lower bound solutions of active circular trapdoors are determined.The failure study of sinkholes and the associated failure mechanisms in this paper are for non-homogeneous clay with a linear increase of strength with depth under various cover depth ratios and dimensionless strength gra-dients.A design equation for predicting the stability solutions is also developed based on the novel three dimensional solutions using axisymmetry.
