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Optimal Sensor Placement And Comprehensive Evaluation Of Research Based On The Dynamic Monitoring

Posted on:2017-05-02Degree:MasterType:Thesis
Country:ChinaCandidate:F T NiFull Text:PDF
GTID:2272330503474641Subject:Bridges and tunnels
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As with our transportation network to flourish, the construction of bridge has has also been developing rapidly.However, a large number of long-span bridges which built in early time have poor performance, low durability, short service life during use.Even throughout the country some of bridges destroy suddenly without any symptom, and we have to pay a painful price,suffer the irreparable damage.The traditional detection such as visual inspection method for detecting large bridges with a long period,and high price, low efficiency.in recent decades health monitoring of structural is becoming increasingly popular research direction, a large number of scholars have conducted extensive studies and it was widely applied to the actual project.Sensor arrangement is an important part of health monitoring of large bridges, reasonable arrangement can effectively reduce the cost of health monitoring system, reduce the difficulty of data storage and data processing, effectively improve the utilization of data, most importantly it can generate considerable economic benefits.At home and abroad large number of research had been done on the sensor location optimization,and there are a variety of optimal sensor placement method. In this paper, I began to study based on Jushui River Bridge project.The main content of this paper include:1.The finite element model of Jushui River Bridge has been completed.2.Eight kinds of optimal sensor placement method have been detailed description. The monkeys algorithm is applied to the sensor arrangement of continuous rigid frame bridge, and using MATLAB programming.3.Develop the measuring point optimization algorithm toolbox, toolbox integrates eight kinds of algorithms.4. A comprehensive evaluation system has been established with using five kinds of evaluation criteria,and it was used to compares the diffeent algorithms corresponding to the number of sensors arranged in different pros and cons.5.The traditional genetic algorithm was been improved, a multi-cross genetic algorithm was been created.And the new algorithm can prevent the premature of the algorithm effectively.6.the use of various sensors disposed ITD Method modal identification schemes, compared to identify the effect of different options, and with the comprehensive evaluation system corresponds to the rationality of the evaluation system.7.Eight kinds of algorithms were compared by using ITD Method identify the modal of bridge.To verify the reasonableness of the evaluation system by compare with each other.
Keywords/Search Tags:Measuring point optimization, Monkeys algorithm, Genetic algorithm, Modal identification
PDF Full Text Request
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