A method for evaluating connectivity probability of large-scale bridge networks based on network decomposition

Abstract

A large-scale bridge network connectivity probability assessment method based on network decomposition, relating to a bridge network assessment method. Apply the multi-level k-way partition algorithm to recursively divide the bridge network into multiple subnets in series; define the adjacent components and local networks of the subnetwork and build the adjacency matrix respectively, and divide the subnetwork status into subnet connected, subnet unconnected, etc. Connected but the network as a whole may be connected, the subnet is not connected and the network as a whole is not connected, the probability of each state is calculated, and the subnet is not connected and the network as a whole is not connected during the calculation. According to the connection status of the subnet terminal nodes, the The minimum item that belongs to the subnetwork is not connected but the network as a whole may be connected is further divided into multiple categories, and all terminal nodes in the subnetwork are connected to each other; the terminal nodes of each subnetwork and the edges between the subnetworks are further simplified into a simplified network , the sum of the overall connectivity of the simplified network is obtained to obtain the connectivity probability of the bridge network.

Description

technical field

[0001] The invention relates to a bridge network evaluation method, in particular to a large-scale bridge network connection probability evaluation method based on network decomposition, which belongs to the technical field of civil engineering. Background technique

[0002] As the world's largest bridge country, as of the end of 2019, the total number of road bridges in China has reached 878,300 and 60,634,600 meters. The degradation of transportation infrastructure, especially bridges, has always been the focus of research at home and abroad. However, since the efficient operation of the bridge network is crucial to ensuring the functionality and safety of the transportation infrastructure network in the region and the rational allocation of funds at the network level, compared with the status of individual bridges, in recent years, the evaluation of bridge networks has gradually become a problem. The focus of research scholars and traffic management depar...

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