Advanced Journal of EngineeringOpen Access
Advanced Journal of Engineering[AJE] is an international peer-reviewed journal that publishes original and high-quality research papers in all related areas. All papers published will be open access to all readers. To build a platform for scientific research and academic exchange for scholars, focusing on the development and research, introducing worldwide research, theory and practice, and promoting international exchanges.
ISSN: N/A (Print)
Frequency: Bimonthly
ISSN: 2771-9863 (Online)
Website: https://doi.org/10.55571/aje
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Indexing and Abstracting:Google Scholar; CrossRef; ResearchBib; WorldCat; CiteFactor
Email: journal@4dpublishinggroup.com /aje@4dpublishinggroup.com
Indexing and Abstracting:Google Scholar; CrossRef; ResearchBib; WorldCat; CiteFactor
Prediction the Chloride Ion Permeation Coefficient of Concrete Based on A Hybrid Intelligent Algorithm
DOI: https://doi.org/10.55571/aje.2023028
Authors: Yuan Cao*, Xian-Guo Wu, Wen Xu, Hao Huang, Ya-Wei Qin, Jian-Bin Ma, Lei Jian
Affiliation:
School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
WATER Resources and Electric Engineering College, Chongqing, China
School of Aeronautics and Astronautics, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
Information: Received: October 24 2023 / Accepted: October 28, 2023 / Published: October 31, 2023
Authors: Yuan Cao*, Xian-Guo Wu, Wen Xu, Hao Huang, Ya-Wei Qin, Jian-Bin Ma, Lei Jian
Affiliation:
School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
WATER Resources and Electric Engineering College, Chongqing, China
School of Aeronautics and Astronautics, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
Information: Received: October 24 2023 / Accepted: October 28, 2023 / Published: October 31, 2023
Abstract: Chloride ion penetration resistance (CIPR) is a critical concern in engineering to ensure the long-term durability of concrete structures, accurately predicting concrete CIPR is essential for designing the appropriate mix ratio. The rapid chloride migration (RCM) test is the most commonly used experimental method, typically employed to measure CIPC. To efficiently and accurately predict the CIPR of concrete, a Bayesian Optimization (BO)-Light Gradient Boosting Machine (LGBM) model is developed. Through this research, it can be concluded that (1) BO can effectively search and optimize the hyperparameters in LGBM. Within 100 iterations, BO optimization can search the hyperparameters effectively and find the optimal solution quickly.(2) BO-LGBM has a strong predictive ability, and its prediction accuracy is superior than the other three prediction models. The outcomes indicate that the application of this model has important practical significance for predicting the CIPC of concrete, optimizing the design of the concrete mix ratio and improving the durability of concrete.
Keywords: Chloride ion penetration resistance; Durability of concrete; BO-LGBM; intelligent Prediction
Cite This Article: Cao Y, Wu X.G, etc. Prediction the Chloride Ion Permeation Coefficient of Concrete Based on A Hybrid Intelligent Algorithm. Advanced Journal of Engineering. 2023,2(4):37-47. https://doi.org/10.55571/aje.2023028
Keywords: Chloride ion penetration resistance; Durability of concrete; BO-LGBM; intelligent Prediction
Cite This Article: Cao Y, Wu X.G, etc. Prediction the Chloride Ion Permeation Coefficient of Concrete Based on A Hybrid Intelligent Algorithm. Advanced Journal of Engineering. 2023,2(4):37-47. https://doi.org/10.55571/aje.2023028
