Determination method and device of bridge reinforcing target bearing capacity

A bearing capacity and target technology, applied in the direction of measuring device, elasticity test, machine/structural component test, etc., can solve the problems of inaccurate high score, inaccurate random parameter model, too simple assumption, etc., to overcome simulation problems. The effect of too many times, shortening operation time, and avoiding waste of resources

Active Publication Date: 2013-10-09
TSINGHUA UNIV +1
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  • Summary
  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, when studying the load effect of a specific service bridge under the actual traffic flow, such an assumption seems too arbitrary
[0012] Two problems enumerated above: the inaccuracy of the random parameter model of the MCS method, the inaccuracy of the high score point during the extrapolation of the load effect, are the most important two problems encountered when studying the actual measured automobile load effect, and are also the results of the present invention. Two issues to focus on
[0023] (1) The technology only focuses on the effect of a single vehicle on the bridge, and cannot solve the situation of multiple vehicles on the bridge at the same time, so it is not suitable for refined load analysis
[0024] (2) The assumption of technology 1 on the normal distribution of vehicle

Method used

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  • Determination method and device of bridge reinforcing target bearing capacity
  • Determination method and device of bridge reinforcing target bearing capacity
  • Determination method and device of bridge reinforcing target bearing capacity

Examples

Experimental program
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Embodiment 1

[0104] In one embodiment of the present invention, the vehicle parameters of 14 days are measured, and steps 506 and 508 are used to predict the vehicle load effect of 14 days according to the vehicle parameters of the first day, and the predicted value is compared with the actual measured value A comparison was made and the results were found to be basically similar. This shows that using steps 506 and 508 to obtain the maximum load effect value (load effect representative value) within a relatively long period has a small error and high accuracy. The specific process is as follows.

[0105] A simply supported girder bridge with a span of 60m was preliminarily observed to have a large number of overloaded vehicles passing by. It is necessary to calculate the vehicle load effect, and then conduct a comprehensive assessment of the safety of the structure and strengthen the bridge. In this embodiment, after the WIM system measured the passing vehicle data for 14 days, a total o...

Embodiment 2

[0122] In another embodiment of the present invention, by calculating the 14-day vehicle parameters measured by the WIM system, the maximum load effect characteristic value (load effect representative value) of T year is obtained, so that the load effect representative value can be used to determine the Where to reinforce the bridge. In this embodiment, the overload coefficient η is also proposed, and the management department can formulate more scientific decision-making for controlling overload according to the overload coefficient of each bridge.

[0123] After processing the 14-day traffic flow data measured by the WIM system, the steps are as follows:

[0124] (1) Load effect calculation and sample reorganization

[0125] First, calculate the maximum mid-span bending moment of each vehicle when passing through the bridge according to the influence line, and then calculate each 50 (namely N 0 =50) The maximum value of the mid-span bending moment was reorganized, and a to...

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Abstract

The invention discloses a determination method and device of bridge reinforcing target bearing capacity, and relates to the field of safety of bridges. The determination method of bridge reinforcing target bearing capacity comprises the step of measuring the parameters of each car passing through a target bridge within a set time threshold value, the step of processing the parameters to obtain the load effect value when each car passes through the most adverse position of the target bridge, wherein the most adverse position is the position corresponding to the highest point of a load effect influence line corresponding to the target bridge, the step of processing all the load effect values to obtain a sample space satisfying generalized Paratore distribution and further determine a load effect representative value of the target bridge according to the generalized Paratore distribution rule, and the step of obtaining the target bearing capacity of reinforcing the target bridge according to the load effect representative value. The determination method of bridge reinforcing target bearing capacity can accurately deduce bridge load effect extreme values under the condition of a small calculation cost and reinforce the bridge by utilizing the bridge load effect extreme values.

Description

technical field [0001] The invention relates to the field of bridge safety, in particular to a method and device for confirming the target bearing capacity of bridge reinforcement. Background technique [0002] With the rapid development of my country's transportation industry, there is a trend of gradually increasing the size of vehicles, especially the appearance of overloaded trucks on some traffic arteries, which poses a huge threat to the safety of bridges in service along the lines. In recent years, bridges collapsed by overloaded trucks have occurred frequently. The truck was seriously overloaded and collapsed. People urgently need to know how much the daily traffic flow has on the bridge. The management department also hopes to know whether there are potential safety hazards in the bridge in service under the influence of the current traffic flow in the future service period, so that the bridge can be reinforced or formulated. More scientific management measures. ...

Claims

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Application Information

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IPC IPC(8): G01M5/00
Inventor 李全旺李春前周泳涛吕延陈钟陈凯鞠秀颖
Owner TSINGHUA UNIV
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