气候变化领域集成服务门户(CCPortal): Quantification of the concrete freeze-thaw environment across the Qinghai-Tibet Plateau based on machine learning algorithms

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DOI	10.1007/s11629-023-8389-7
	Quantification of the concrete freeze-thaw environment across the Qinghai-Tibet Plateau based on machine learning algorithms
	Qin, Yanhui; Ma, Haoyuan; Zhang, Lele; Yin, Jinshuai; Zheng, Xionghui; Li, Shuo
发表日期	2024
ISSN	1672-6316
EISSN	1993-0321
起始页码	322
结束页码	334
卷号	21 期号:1
英文摘要	The reasonable quantification of the concrete freezing environment on the Qinghai-Tibet Plateau (QTP) is the primary issue in frost resistant concrete design, which is one of the challenges that the QTP engineering managers should take into account. In this paper, we propose a more realistic method to calculate the number of concrete freeze-thaw cycles (NFTCs) on the QTP. The calculated results show that the NFTCs increase as the altitude of the meteorological station increases with the average NFTCs being 208.7. Four machine learning methods, i.e., the random forest (RF) model, generalized boosting method (GBM), generalized linear model (GLM), and generalized additive model (GAM), are used to fit the NFTCs. The root mean square error (RMSE) values of the RF, GBM, GLM, and GAM are 32.3, 4.3, 247.9, and 161.3, respectively. The R2 values of the RF, GBM, GLM, and GAM are 0.93, 0.99, 0.48, and 0.66, respectively. The GBM method performs the best compared to the other three methods, which was shown by the results of RMSE and R2 values. The quantitative results from the GBM method indicate that the lowest, medium, and highest NFTC values are distributed in the northern, central, and southern parts of the QTP, respectively. The annual NFTCs in the QTP region are mainly concentrated at 160 and above, and the average NFTCs is 200 across the QTP. Our results can provide scientific guidance and a theoretical basis for the freezing resistance design of concrete in various projects on the QTP.
关键词	Freeze-thaw cycles Quantification Machine learning algorithms Qinghai-Tibet Plateau Concrete
英文关键词	INTERIM TEMPERATURE DATA; ERA-INTERIM; ELEVATION CORRECTION; PERMAFROST REGIONS; AIR-TEMPERATURE; ICE FORMATION; NCEP-CFSR; DAMAGE; SATURATION; EVOLUTION
WOS研究方向	Environmental Sciences
WOS记录号	WOS:001152428500016
来源期刊	JOURNAL OF MOUNTAIN SCIENCE
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/282823
作者单位	Qingdao University of Technology; Qinghai Normal University
推荐引用方式 GB/T 7714	Qin, Yanhui,Ma, Haoyuan,Zhang, Lele,et al. Quantification of the concrete freeze-thaw environment across the Qinghai-Tibet Plateau based on machine learning algorithms[J],2024,21(1).
APA	Qin, Yanhui,Ma, Haoyuan,Zhang, Lele,Yin, Jinshuai,Zheng, Xionghui,&Li, Shuo.(2024).Quantification of the concrete freeze-thaw environment across the Qinghai-Tibet Plateau based on machine learning algorithms.JOURNAL OF MOUNTAIN SCIENCE,21(1).
MLA	Qin, Yanhui,et al."Quantification of the concrete freeze-thaw environment across the Qinghai-Tibet Plateau based on machine learning algorithms".JOURNAL OF MOUNTAIN SCIENCE 21.1(2024).