MULTI-AXLE MOVING TRAIN LOADS IDENTIFICATION ON SIMPLY SUPPORTED BRIDGE BY USING SIMULATED ANNEALING GENETIC ALGORITHM

Identification of multi-axle moving train loads is very important for the bridge design, construction, and maintenance. This paper presents an optimization method for identification of multi-axle moving train loads on bridges, which minimizes differences between the measured deflections and the defl...

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Published inInternational journal of structural stability and dynamics Vol. 11; no. 1; pp. 57 - 71
Main Authors QU, WEILIAN, WANG, YI, PI, YONGLIN
Format Journal Article
LanguageEnglish
Published World Scientific Publishing Company 01.02.2011
Subjects
Algorithms
Bridges (structures)
Deflection
Genetic algorithms
Optimization
Robustness
Searching
Simulated annealing
Trains
Multi-axle moving train loads
simulated annealing genetic algorithm
load identification
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ISSN0219-4554
1793-6764
DOI10.1142/S0219455411003987

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Abstract Identification of multi-axle moving train loads is very important for the bridge design, construction, and maintenance. This paper presents an optimization method for identification of multi-axle moving train loads on bridges, which minimizes differences between the measured deflections and the deflections reconstructed from the identified moving loads and has the merits of both the global searching properties of genetic algorithms and the local searching properties of simulated annealing algorithms. Effects of algorithm parameters and of bridge-train system parameters on the robustness and accuracy of the proposed method are investigated. The results show that the method is feasible, accurate, and effective for multi-axle moving train loads identification.
AbstractList Identification of multi-axle moving train loads is very important for the bridge design, construction, and maintenance. This paper presents an optimization method for identification of multi-axle moving train loads on bridges, which minimizes differences between the measured deflections and the deflections reconstructed from the identified moving loads and has the merits of both the global searching properties of genetic algorithms and the local searching properties of simulated annealing algorithms. Effects of algorithm parameters and of bridge-train system parameters on the robustness and accuracy of the proposed method are investigated. The results show that the method is feasible, accurate, and effective for multi-axle moving train loads identification.
Author QU, WEILIAN
WANG, YI
PI, YONGLIN
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Keywords Multi-axle moving train loads
simulated annealing genetic algorithm
load identification
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SubjectTerms Algorithms
Bridges (structures)
Deflection
Genetic algorithms
Optimization
Robustness
Searching
Simulated annealing
Trains
Title MULTI-AXLE MOVING TRAIN LOADS IDENTIFICATION ON SIMPLY SUPPORTED BRIDGE BY USING SIMULATED ANNEALING GENETIC ALGORITHM
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