Parameter lambda introduced bridge technology state degradation evaluation method

Abstract

The invention discloses a parameter lambda introduced bridge technology state degradation evaluation method. A bridge technology state degradation process model, which can be used for describing construction and operation period of a bridge, is established through adopting three parameters including a technology state score when the bridge is constructed, a statistical service life of bridges with the same type and operation and utilization time of the bridge in combination with consideration of environment, load and material property changes. When the bridge technology state degradation process model provided by the invention is used for carrying out bridge technology state evaluation and predication, the bridge can be pertinently detected, cured, maintained and reinforced and manpower and material recourses can be used purposely; the rationality of maintenance, reinforcement and modification scales is guaranteed, the bridge keeps a good technology state and the service life of the bridge is effectively prolonged; the parameter lambda introduced bridge technology state degradation evaluation method has important practical meanings and realization meanings on bridge structure safety, sustainable operation and social and economic development.

Description

technical field [0001] The invention belongs to the fields of bridge detection, evaluation and maintenance, and in particular relates to a method for evaluating the technical state deterioration of bridges by introducing a parameter λ. Background technique [0002] Any bridge is going through the process of construction, service, functional degradation, and scrapping. During use, as time goes by, under the action of internal or external or natural adverse factors, material aging and structural damage will occur. The accumulation of this aging and damage will lead to deterioration of structural performance and reduced reliability. Without maintenance and reinforcement, its function will inevitably decline at an accelerated rate. Because bridges are made of steel and concrete, the deterioration of bridges in service has similar laws through statistical analysis, so it is very important to study and predict the future technical status of bridges. In order to better predict th...

AI Technical Summary

Problems solved by technology

This model can be used not only for newly built bridges, but also for old bridges that have been in service for many years. However, the estimation of the degradation model deviates greatly from the actual value, which makes the accuracy and credibility of the evaluation work not high enough

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