A New Form of Genetic Algorithm for Back-Calculating Pavement Structure Modulus Based on Database Searching Theory

Xin Jian Feng; Jian Fang Fu; Jian Lin Zhang

doi:10.4028/www.scientific.net/AMM.193-194.1090

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 193-194A New Form of Genetic Algorithm for...

A New Form of Genetic Algorithm for Back-Calculating Pavement Structure Modulus Based on Database Searching Theory

Abstract:

The Falling Weight Deflectometer (FWD) is designed to impart a load pulse to the pavement surface which simulates the load produced by a rolling vehicle wheel, wildly used in back-calculating pavement structure modulus. In this paper, a new form of Genetic Algorithm based on database searching theory is introduced. This method is not sensitive to initial values and it could identify the modulus effectively with establishing simple databases. By using a project measured data as an example, the result shows that this method is stable, convergent and practical. This method is better than the traditional method. It will be one of useful tools for the highway assessment.

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Periodical:

Applied Mechanics and Materials (Volumes 193-194)

Pages:

1090-1094

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.193-194.1090

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Online since:

August 2012

Authors:

Xin Jian Feng, Jian Fang Fu, Jian Lin Zhang

Keywords:

Back-Calculating Modulus, Database Searching Theory, FWD, Genetic Algorithm (GA)

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References

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