Font Size: a A A

Intelligent Diagnosis And Fast Decision-making Technology For Maintenance And Reinforcement Of Existing Concrete Bridges

Posted on:2020-08-29Degree:MasterType:Thesis
Country:ChinaCandidate:Y MaFull Text:PDF
GTID:2392330578976465Subject:Architecture and civil engineering
Abstract/Summary:PDF Full Text Request
With the rapid development of the economy,the traffic pressure is increasing,and the requirements for the service capacity of bridges have become higher and higher.As the main material of bridge construction,the quality of concrete is directly related to the operational capacity of the bridge.In this paper,the condition of disease diagnosis of concrete bridge is comprehensively described;the existing concrete non-destructive testing technology,the appraisal and evaluation standard of existing concrete bridge and the strengthening technology are comprehensively analyzed.In-service concrete bridge disease intelligent diagnosis and reinforcement rapid decision-making technology arises at the historic moment.During the service period,the bridge is affected by increasing traffic loads,adverse and repeated changes in natural conditions and external environmental erosion.The damage of the concrete structure is inevitable.Appropriate maintenance and reinforcement can prolong the service life of the bridge.Based on this background,through the research and analysis of a large number of documents and testing reports,this paper compares and analyzes the existing concrete bridge reinforcement measures and the factors that affect the bridge reinforcement measures,and puts forward the rapid decision-making technology of in-service concrete bridge reinforcement.At the same time,the existing concrete bridge disease diagnosis process and test data samples are summarized,and the disease diagnosis technology of existing concrete bridge based on fractal theory is proposed.Fractal theory,as a new theory,has gradually become a mathematical tool to deal with complex systems.With the help of box dimension in fractal theory,the sound velocity-amplitude data obtained from nondestructive testing of concrete are processed.Comprehensive analysis of the relationship between the two detection indicators for concrete disease diagnosis.The self-similar law of concrete diseases is studied by experiments,and the mathematical relationship between the internal defects of concrete members and the fractal dimension of acoustic parameters of nondestructive testing is studied,and the fractal dimension is regarded as a variable.This variable is used to measure the change of each index of each experimental object,and the disease of concrete is diagnosed by comparing with the threshold value of the measured data of intact concrete.The feasibility of application of fractal theory in decision-making of internal defects and diseases of concrete is explored.Combined with the detection and diagnosis results of a bridge project in Liaoning province,the applicability of fractal theory to the in-service concrete disease diagnosis is verified.The application of the technique to the in-service concrete disease diagnosis is described in detail.The main contents include the engineering situation of the calculation examples and the comparison between the results of the conventional diagnosis of the disease and the results of the fractal dimension diagnosis method.Based on disease classification and fractal theory,diseases of existing concrete bridges can be more accurately identified,therefore reinforcement measures can be quickly selected,which provide ideas and methods for solving the existing problems of old bridges.
Keywords/Search Tags:concrete bridge, nondestructive testing, fractal theory, box-counting dimension, quick decision
PDF Full Text Request
Related items