Genetic programming approach for predicting service life of tunnel structures subject to chloride-induced corrosion
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- @Article{GAO:2019:JAR,
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author = "Wei Gao and Xin Chen and Dongliang Chen",
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title = "Genetic programming approach for predicting service
life of tunnel structures subject to chloride-induced
corrosion",
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journal = "Journal of Advanced Research",
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volume = "20",
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pages = "141--152",
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year = "2019",
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ISSN = "2090-1232",
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DOI = "doi:10.1016/j.jare.2019.07.001",
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URL = "http://www.sciencedirect.com/science/article/pii/S2090123219301341",
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keywords = "genetic algorithms, genetic programming,
Chloride-induced corrosion, Tunnel structure, Service
life, Prediction, Data-driven method",
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abstract = "A new method for predicting the service life of tunnel
structures subject to chloride-induced corrosion using
data from real engineering examples and genetic
programming (GP) is proposed. As a data-driven method,
the new approach can construct explicit expressions of
the prediction model. The new method was verified by
comparing it with the chloride-ion diffusion model
considering eight corrosion influence factors.
Moreover, 25 datasets collected from tunnel engineering
examples were used to construct the new prediction
model considering 17 corrosion influence factors
belonged to just one classification of engineering
corrosion factors. In addition, the performance of the
new model was verified through a comparative study with
an artificial neural network (ANN) model which is
frequently used in chloride-induced corrosion
prediction for reinforced concrete structures. The
comparison revealed that both the computational result
and efficiency of the GP method were significantly
better than those of the ANN model. Finally, to
comprehensively analyze the new prediction model, the
effects of the two main controlling parameters
(population size and sample size) were analyzed. The
results indicated that as both the population size and
the sample size increased, their effect on the
computation error decreased, and their optimal values
were suggested as 300 and 20, respectively",
- }
Genetic Programming entries for
Wei Gao
Xin Chen
Dongliang Chen
Citations