浇注式导电沥青混凝土组合结构热传导效应预估模型

doi:10.11896/cldb.18010282

Abstract
Figure/Table
References
Related Citation (3)

Download:

Full Text ( PDF ) (13908KB)
Export: BibTeX | EndNote (RIS)

Abstract To determine the heat conduction effect and the snow melting time of combination structure with conductive gussasphalt concrete, the heat conduction principle of combination structure with conductive gussasphalt concrete was studied systematically. The estimation model of heat conduction effect for the upper layer on the combination structure with conductive gussasphalt concrete was established. The surface temperatures on the upper layer of the combination structure were measured and estimated at different ambient temperature, thickness of structure layer and electrified time. The snow melting time of conductive gussasphalt concrete was determined. The accuracy of the estimation model for combination structure with conductive gussasphalt concrete was analyzed and verified with pearson correlation method. It lays a foundation for the popularization and application of conductive gussasphalt concrete in the field of bridge deck pavement. The results show that the heat conduction process of the combination structure with conductive gussasphalt concrete is a heat conduction process with transient and unsteady. At different environment conditions, the surface temperatures on the upper layer of the combination structure can be divided into three stages, such as the initial rise, the mid-term turn, and the later decline. Their estimation errors are maintained at 0.2—0.8 ℃, 0.3—1.2 ℃ and 0.7—5.5 ℃, respectively. The estimation error of snow melting time is maintained at about 16 min. At different ambient temperature, thickness of structure layer and electrified time, the coefficients (R) between the test values and estimation values calculated of surface temperatures for combination structure with conductive gussasphalt concrete by the estimation model are between 0.974 0 and 0.989 0. The conspicuous level values (P) are less than 0.01 and the judgment coefficients (R²) are between 0.948 7 and 0.978 1. It means that there is a good correlation between estimation values and test values. That is to say, the estimated result is accurate.

Key words： road material conductive gussasphalt concrete bridge deck pavement estimation model heat conduction effect snow melting time

Published: 16 May 2019

CLC number:	414
	TB332

Fund:This work was financially supported by the Shaanxi Province Innovation Support Program in 2017 (2017KW-033),Transportation Science and Technology Development Plan in Tianjin Municipality of China (2017A-12), Transportation Science and Technology Plan in Henan Province of China (2018J8) and Fundamental Research Funds for the Central Universities, CHD (300102219701, 300102219314, 300102218210).

About author:: Qian Chen, Ph.D. candidate, is learning at School of Highway, Chang'an University. His research interest is new materials and technologies for green roads. He has published seven academic papers, including six retrieved from SCI/EI. And six patents are authorized.
Chaohui Wang is currently professor, Ph.D. student advisor of School of Highway, Chang'an University, Young Chang'an Scholar, Visiting Scholar of Oklahoma State University, USA, Expert Committee Member of International Slurry Mask Association. He received his Ph.D. Degree in engineering from Chang'an University in July 2008. In the same year, he joined the Institute of Highway Research, Chang'an University, mainly devoting to development and application of new green road materials and technologies, preventive maintenance and decision-making optimization technology of roads and other fields. He has published more than seventy papers in the first author or newsletter author, including more than forty retrieved from SCI/EI. And fifty-eight invention patents are authorized.

	Service
	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	CHEN Qian
	WANG Chaohui
	FAN Zhentong
	HOU Rongguo
	CHEN Jiao

Cite this article:

CHEN Qian,WANG Chaohui,FAN Zhentong, et al. The Estimation Model of Heat Conduction Effect for Combination Structure with Conductive Gussasphalt Concrete[J]. Materials Reports, 2019, 33(10): 1659-1665.

URL:

http://www.mater-rep.com/EN/10.11896/cldb.18010282 OR http://www.mater-rep.com/EN/Y2019/V33/I10/1659

1 Chen Q, Wang C H, Wen P H, et al. Journal of Cleaner Production, 2018, 203,633.
2 Piringer G, Kreiter W. Gestrata Journal, 2014, 1,26.
3 Wan T T, Wu N C. Road Machinery & Construction Mechanization,
2015, 32(2),81(in Chinese).
万涛涛,吴年超. 筑路机械与施工机械化, 2015, 32(2),81.
4 Chen Q, Wang C H, Fu H, et al. Construction & Building Materials, 2018, 190,13.
5 Zheng M, Wu S, Wang C, et al.Applied Sciences, 2017, 7(6),583.
6 Hossain S M K, Fu L, Hosseini F, et al. Canadian Journal of Civil Engineering, 2016, 43(9),802.
7 Wang C H, Wang X C.Road Machinery & Construction Mechanization, 2015, 32(11),26.
王朝辉, 王选仓.筑路机械与施工机械化, 2015, 32(11),26.
8 Yu W B, Li S Y, Feng W J, et al.Journal of Glaciology & Geocryology, 2011, 33(4),933 (in Chinese).
喻文兵, 李双洋, 冯文杰,等.冰川冻土, 2011, 33(4),933.
9 Won J P, Kim C K, Lee S J, et al.Composite Structures, 2014, 118(1),106.
10 Wang C H, Chen Q, Gao Z W, et al. Materials Review A:Review Papers,2017,31(3),135 (in Chinese).
王朝辉,陈谦,高志伟,等. 材料导报:综述篇,2017,31(3),135.
11 Pan P, Wu S, Xiao F, et al. Journal of Intelligent Material Systems & Structures, 2014, 26(7),755.
12 Bai B C, Park D W, Hai V V, et al. Journal of Nanomaterials, 2015, 16(1),255.
13 Wang C H, Yang X, Li Q, et al. Transportmetrica A:Transport Science, 2018, 14,1.
14 Pan P, Wu S, Hu X, et al. Materials, 2017, 10(3),218.
15 Hai V V, Park D W. Advances in Materials Science and Engineering, 2017, 3,1.
16 Zheng S P, Cheng Z H, Fang R, et al.Journal of Highway and Transportation Research and Development(Applied Technology Edition), 2015(2),77 (in Chinese).
郑少鹏, 程志豪, 房锐,等.公路交通科技(应用技术版), 2015(2),77.
17 Zheng S P, Cheng Z H, Fang R, et al. patent,CN 201510912404.2, 2017.
18 Wang Y, Tian B S, Bai F W, et al.Acta Energiae Solaris Sinica, 2015, 36(8),1990 (in Chinese).
王艳, 田斌守, 白凤武,等.太阳能学报, 2015, 36(8),1990.
19 Wang C H, Chen Q, Fu H, et al. Construction & Building Materials, 2018, 172,422.
20 Zhang W P, Tong F, Xing Y S, et al.Journal of Building Materials, 2015, 18(2),183 (in Chinese).
张伟平, 童菲, 邢益善,等.建筑材料学报, 2015, 18(2),183.