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A large-scale bridge network evaluation method based on Bayesian network

A Bayesian network and network evaluation technology, applied in the field of large-scale bridge network evaluation based on Bayesian network, can solve problems such as failure, and achieve the effects of eliminating potential safety hazards, high calculation accuracy, and simple and easy-to-use methods

Active Publication Date: 2021-01-12
HARBIN INST OF TECH
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Problems solved by technology

As the scale of the bridge network expands, the above methods will inevitably fail, and are only suitable for small-scale bridge network models with a small number of bridges

Method used

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  • A large-scale bridge network evaluation method based on Bayesian network
  • A large-scale bridge network evaluation method based on Bayesian network
  • A large-scale bridge network evaluation method based on Bayesian network

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Embodiment 1

[0029] A large-scale bridge network evaluation method based on Bayesian network: establish a topological network with a certain number of edges and nodes, where the edges and nodes are the routes and route intersections in the network respectively; the length of each edge in the network and the bridge on it The information layer composed of the technical status assessment grade is merged with the topological network layer.

[0030] The failure probability of a bridge can be obtained from its reliability index

[0031] P f =Φ(-β b ) (1)

[0032] In the formula, P f is the failure probability of the bridge, β b is the reliability index of the bridge. The bridge reliability index is related to the design safety level and technical status level of the structure. According to the unified standard for reliability design of highway engineering structures (GB / T 50283-1999), the design safety level of highway bridge structures reflects the severity of possible consequences of str...

Embodiment 2

[0076] The specific embodiment of the present invention is described by combining the evaluation and analysis of a certain national highway bridge network.

[0077] Such as figure 2 As shown, the total mileage of the national road bridge network is 7089km, covering 1 capital radial line, 8 north-south longitudinal lines, 5 east-west horizontal lines and 3 connecting lines, including 11 cities and 1772 bridges. Such as image 3 As shown, more than 60% of the 1772 bridges are less than 20 years old; Figure 4 As shown, at the same time more than 80% of the bridges are rated as Class 1 and Class 2, and are in good service condition.

[0078] Step 1: Build a bridge network physical model, such as Figure 6 shown. Think of a bridge network as an overlay of a topological graph and an information graph, such as Figure 6 As shown in , the topological graph model includes edges and nodes simplified by routes and route intersections in the network, and the information layer inclu...

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Abstract

The invention provides a large-scale bridge network evaluationmethod based on a Bayesian network. ORDER-II and Dijkstra algorithms and vulnerability thoughts are adopted. The technical status rating of bridges in the network and the information of distance between cities are used to evaluate overall reliability of a large bridge network and recognize bridges at key road sections. The NP-hard problem for solving the reliability of large-scale bridge networks is transformed into the most probable failure combination and network connectivity state of the bridge under the required accuracy. By evaluating the bridge network in a national highway containing 1772 bridges, a proof is given that the method and vulnerability indictors can evaluate the overall reliability of the large-scale bridge network. Relative importance of all road sections is effectively recognized. The large-scale bridge network can be evaluated directly and efficiently.

Description

technical field [0001] The invention relates to a method for evaluating a bridge network in civil engineering, in particular to a method for evaluating a large-scale bridge network based on a Bayesian network. Background technique [0002] As the most vulnerable part of the infrastructure transportation network, the safety of bridges is the key to ensuring the rapid and smooth operation of highways, and is of great significance to ensuring the safe operation of infrastructure transportation networks and even regional economic development. According to the "2018 Transportation Industry Development Statistical Bulletin" issued by the Ministry of Transport, by the end of 2018, my country had 832,500 highway bridges with a total length of 52.2562 million meters, making it the world's largest bridge country. [0003] In the whole life cycle of the bridge, the construction period only accounts for less than 10% of the life of the whole bridge, and the rest are maintenance periods....

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/13G06F30/18G06F111/08G06F119/02
Inventor 李顺龙王杰房坤李惠
Owner HARBIN INST OF TECH
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