How to improve the rescue efficiency of the network after the earthquake is the key content of emergency management decision-making, improve the efficiency of emergency rescue, and reduce the impact of emergency rescu...How to improve the rescue efficiency of the network after the earthquake is the key content of emergency management decision-making, improve the efficiency of emergency rescue, and reduce the impact of emergency rescue to the non victims. Using cyberspace of lifeline network traffic and emergency transportation problem, considering the network restoration problem of disaster area, earthquake emergency supplies distribution model is established. In the model, to consider the need to repair the damaged sections and the existing emergency rescue generated traffic volume of emergency rescue network effects. And design heuristic algorithm for solving the model. Finally the example shows that in emergency rescue, emergency rescue of critical damage repair the road and traffic control of the whole lifeline network rescue efficiency highest, with the average nuisance greatly reduce, the lifeline network connectivity reliability.展开更多
On the basis of the complex variable moving least-square (CVMLS) approximation, a complex variable meshless local Petrov-Galerkin (CVMLPG) method is presented for transient heat conduction problems. The method is deve...On the basis of the complex variable moving least-square (CVMLS) approximation, a complex variable meshless local Petrov-Galerkin (CVMLPG) method is presented for transient heat conduction problems. The method is developed based on the CVMLS approximation for constructing shape functions at scattered points, and the Heaviside step function is used as a test function in each sub-domain to avoid the need for a domain integral in symmetric weak form. In the construction of the well-performed shape function, the trial function of a two-dimensional (2D) problem is formed with a one-dimensional (1D) basis function, thus improving computational efficiency. The numerical results are compared with the exact solutions of the problems and the finite element method (FEM). This comparison illustrates the accuracy as well as the capability of the CVMLPG method.展开更多
文摘How to improve the rescue efficiency of the network after the earthquake is the key content of emergency management decision-making, improve the efficiency of emergency rescue, and reduce the impact of emergency rescue to the non victims. Using cyberspace of lifeline network traffic and emergency transportation problem, considering the network restoration problem of disaster area, earthquake emergency supplies distribution model is established. In the model, to consider the need to repair the damaged sections and the existing emergency rescue generated traffic volume of emergency rescue network effects. And design heuristic algorithm for solving the model. Finally the example shows that in emergency rescue, emergency rescue of critical damage repair the road and traffic control of the whole lifeline network rescue efficiency highest, with the average nuisance greatly reduce, the lifeline network connectivity reliability.
基金supported by the National Natural Science Foundation of China(Grant No.51078250)the Research Project by Shanxi Scholarship Council of Shanxi Province,China(Grant No.2013-096)the Scientific&Technological Innovation Program for Postgraduates of Taiyuan University of Science and Technology,China(Grant No.20125026)
文摘On the basis of the complex variable moving least-square (CVMLS) approximation, a complex variable meshless local Petrov-Galerkin (CVMLPG) method is presented for transient heat conduction problems. The method is developed based on the CVMLS approximation for constructing shape functions at scattered points, and the Heaviside step function is used as a test function in each sub-domain to avoid the need for a domain integral in symmetric weak form. In the construction of the well-performed shape function, the trial function of a two-dimensional (2D) problem is formed with a one-dimensional (1D) basis function, thus improving computational efficiency. The numerical results are compared with the exact solutions of the problems and the finite element method (FEM). This comparison illustrates the accuracy as well as the capability of the CVMLPG method.
