Finite element model correction method for large-span steel bridge based on uniform temperature response monitoring value

Abstract

The invention discloses a finite element model correction method for a large-span steel bridge based on a uniform temperature response monitoring value, and the method comprises the following steps: 1), carrying out the analysis of yearly monitoring data of the large-span steel bridge, and finding a response law of a structure under the action of a uniform temperature field; 2), building a preliminary finite element model according to design data; 3), preliminarily determining the horizontal rigidness of a steel bridge supporting seat through employing an iteration method; 4), carrying out the sensitivity analysis of the large-span bridge based on the temperature response data of the large-span bridge, and determining a design variable with the higher coefficient of association with actual measurement data; 5), carrying out the optimization analysis of a large-span bridge finite element model through reducing the difference between a finite element model calculation result and the actual measurement data. Compared with a commonly used finite element model correction method based on a power response result (test modal data), the method is simple and accurate, is lower in cost, and is good in safety.

Description

technical field [0001] The invention belongs to the field of civil engineering numerical simulation analysis, and relates to a finite element model correction method based on a uniform temperature response monitoring value of a long-span steel bridge. Background technique [0002] With the rapid development of the national economy, the construction of large bridges in our country is speeding up. Steel bridges are widely used in long-span bridges due to their strong spanning ability and fast construction speed, and play a key role in the local environment, economy and social life. Long-span steel bridges have large spans, various types of components, and complex structural layouts. Due to adverse factors such as environmental loads, fatigue effects, and material aging, various defects will inevitably appear in bridges during long-term use, resulting in the accumulation of damage to local key components of the structure. If the decrease in stiffness and bearing capacity of t...

AI Technical Summary

Problems solved by technology

However, due to various defects in the long-term use of the bridge, the finite element model and structure established based on the design data have errors in boundary conditions, material and section parameters, mass and load distribution, etc., so the finite element model is difficult to accurately reflect the structure. Behavior and working state under the action of service load, it is necessary to correct the finite element model based on the response monitoring value of the health monitoring system, so as to conduct further safety assessment of the bridge through the corrected finite element model

[0004] At present, the dynamic response results such as test modal data are generally used to correct the finite element model of long-span steel bridges. Although the modal test based on environmental excitation is widely used in recent years, it is safe and does not affect the normal use of the bridge. There are many deficiencies: 1) There are unknown inputs in the environmental excitation, such as various noise disturbances; 2) The modal parameter identification is based on the assumption of modal theory; 3) The local response of the structure cannot be determined; 4) The precise modal parameter identification requires more High, the amount of data processing is large, which is not conducive to engineering personnel to master; 5) The number of sensors requires more

Images