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Method capable of eliminating vehicle dynamic effect for identifying influence line of bridge

A technology of vehicle dynamics and recognition methods, applied in elastic testing, testing of machine/structural components, measuring devices, etc., can solve problems such as bridge response deviation, and achieve simple and high-precision effects

Active Publication Date: 2019-02-15
DALIAN UNIV OF TECH
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Problems solved by technology

However, the dynamic effect caused by the high-speed train crossing the bridge will cause a large deviation between the bridge response and the quasi-static bridge response when the low-speed train crosses the bridge. How to identify the influence line from the dynamic effect becomes the identification of the high-speed railway bridge influence line. a difficult question

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  • Method capable of eliminating vehicle dynamic effect for identifying influence line of bridge
  • Method capable of eliminating vehicle dynamic effect for identifying influence line of bridge
  • Method capable of eliminating vehicle dynamic effect for identifying influence line of bridge

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Embodiment Construction

[0027] The present invention will be further described in detail below in conjunction with the accompanying drawings and a numerical example.

[0028] The influence line identification method of the present invention is divided into two steps: "Using empirical mode decomposition to preprocess the bridge response information measured by the sensor" and "Using the quasi-static method to identify the preprocessed bridge response", the specific implementation method is as follows It has been given, and then a calculation example is used to illustrate the application method and characteristics of the invention.

[0029] Implementation calculation: 72km / h double-axle loading vehicle crossing influence line identification

[0030] In this numerical example, we simulate a two-axle vehicle passing through a simply supported beam with a speed of 72km / h, and analyze the mid-span deflection response by establishing a vehicle-bridge coupled vibration model. The two-axle vehicle has a whee...

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Abstract

The invention belongs to the technical filed of structural safety detection, and discloses a method capable of eliminating vehicle dynamic effect for identifying an influence line of a bridge. The method comprises the following steps: (1) preprocessing bridge response data measured by a sensor by using empirical mode decomposition; and (2) identifying the preprocessed bridge response by a quasi-static method. Preprocessing of bridge response by the empirical mode decomposition can eliminate power superposition of the bridge response so as to obtain the quasi-static response of the bridge, which can be further used to identify the influence line. At the same time, the method does not need to know any bridge structural information in advance, can process the structural response data measuredby the sensor on various bridge types, and has a good engineering application prospect.

Description

technical field [0001] The invention belongs to the technical field of structural safety detection, and in particular relates to a bridge influence line identification method capable of eliminating vehicle dynamic effects. technical background [0002] In recent years, with the continuous development of high-speed railway technology and the improvement of people's travel efficiency requirements, the total mileage of high-speed railways in the world has increased unprecedentedly. Since most of the operating mileage of high-speed railways is on viaducts, the safety of high-speed railway bridges has attracted more and more attention. Due to the continuous dynamic loading of high-speed trains, high-speed rail bridges suffer more complex load effects than ordinary highway bridges. How to monitor the service performance of high-speed rail bridges in real time has become a major issue related to the safety of passengers' lives and property. [0003] At the same time, it is worth n...

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Application Information

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IPC IPC(8): G01M5/00
CPCG01M5/0008
Inventor 伊廷华郑旭杨东辉李宏男
Owner DALIAN UNIV OF TECH
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