Thermal conduction behavior and prediction model of scrap tire rubber-sand mixtures

IF 6.4 2区 工程技术 Q1 THERMODYNAMICS
Tao Zhang, Yang Chen, Yu-Ling Yang, Cai-Jin Wang, Guo-Jun Cai
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引用次数: 0

Abstract

Increasing stockpile of scrap rubber tires imposes a serious threat to the safety of surrounding ecological environment. Rubber particle of excellent thermal insulating properties with comparison of granular soils makes it an ideal candidate for developing sustainable construction materials. While thermal conduction behaviors of rubber-sand mixtures have not been clearly revealed. Several series of thermal probe tests were conducted on scrap rubber tire-sand mixtures with varied rubber contents, moisture contents, and dry densities. A predictive model was proposed by resorting to the artificial neural network technology to capture the thermal conductivity data. The results showed that an obvious decrease in thermal conductivity is taken after the addition of rubber, and the decreasing rate is related to moisture content of mixtures. The presence of pore water is beneficial to the improvement of thermal conductivity. The critical moisture content of investigated rubber-sand mixtures is approximately 8 %, further increase in moisture content leads to a faint increment of thermal conductivity. Rubber-sand mixtures of high dry density have good particle contact behaviors, exhibiting a high thermal conductivity value. The influences of rubber content, moisture content, and dry density on thermal conductivity are intertwined together that should be comprehensively analyzed. The developed model exhibits satisfactory accuracy for thermal conductivity prediction, as reflected by correlation coefficient higher than 85 % and relative error being controlled under 10 %. Additional study is recommended to evaluate the thermo-mechanical behaviors and durability of rubber-soil mixtures. The outcomes of this study provide one of available answers for reusing scrap rubber tire in engineering fields.
废轮胎橡胶-砂混合料导热特性及预测模型
废旧轮胎库存的不断增加,严重威胁了周边生态环境的安全。与颗粒土相比,橡胶颗粒具有优良的保温性能,是开发可持续建筑材料的理想选择。而橡胶-砂混合料的热传导特性尚未得到明确的揭示。对不同橡胶含量、含水率和干密度的废橡胶胎砂混合物进行了一系列热探针试验。利用人工神经网络技术,建立了热导率预测模型。结果表明,加入橡胶后,导热系数有明显的下降,其下降幅度与混合物的含水率有关。孔隙水的存在有利于导热系数的提高。所研究的橡胶-砂混合料的临界含水率约为8%,含水率的进一步增加导致导热系数的微弱增加。干密度高的胶砂混合物具有良好的颗粒接触性能,导热系数高。橡胶含量、含水率、干密度对导热系数的影响是相互交织的,需要综合分析。该模型的相关系数大于85%,相对误差控制在10%以内,具有较好的导热系数预测精度。建议进一步研究橡胶-土混合料的热力学性能和耐久性。本研究结果为工程领域废旧橡胶轮胎的再利用提供了一个可行的答案。
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来源期刊
Case Studies in Thermal Engineering
Case Studies in Thermal Engineering Chemical Engineering-Fluid Flow and Transfer Processes
CiteScore
8.60
自引率
11.80%
发文量
812
审稿时长
76 days
期刊介绍: Case Studies in Thermal Engineering provides a forum for the rapid publication of short, structured Case Studies in Thermal Engineering and related Short Communications. It provides an essential compendium of case studies for researchers and practitioners in the field of thermal engineering and others who are interested in aspects of thermal engineering cases that could affect other engineering processes. The journal not only publishes new and novel case studies, but also provides a forum for the publication of high quality descriptions of classic thermal engineering problems. The scope of the journal includes case studies of thermal engineering problems in components, devices and systems using existing experimental and numerical techniques in the areas of mechanical, aerospace, chemical, medical, thermal management for electronics, heat exchangers, regeneration, solar thermal energy, thermal storage, building energy conservation, and power generation. Case studies of thermal problems in other areas will also be considered.
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