PENG Yun, HU Ming-jian, A Ying, et al. Testing of coral sand thermal physical parameters and comparative analysis of prediction models[J]. 2023, 44(3): 884-895.
DOI:
PENG Yun, HU Ming-jian, A Ying, et al. Testing of coral sand thermal physical parameters and comparative analysis of prediction models[J]. 2023, 44(3): 884-895.DOI: 10.16285/j.rsm.2022.1321.
Testing of coral sand thermal physical parameters and comparative analysis of prediction models
在我国“海洋强国”建设下,南海岛礁建设顺利推进,以浅层礁坪为介质的地源热泵技术、能量桩等,实质是与礁砂介质能量交换的过程,需进一步掌握珊瑚砂导热性能的演变规律。以南海岛礁珊瑚细砂为研究对象,测定并探讨在不同干密度和含水率下对3大热物理参数的影响,并选用12种砂土热物理参数模型的预测数据与实测数据进行类比分析,提出适宜预测珊瑚细砂导热性能的经验模型。结果表明,珊瑚细砂导热系数和体积比热容、热扩散系数均与干密度呈正相关关系,导热系数和体积比热容与含水率的相关系数高于干密度,而热扩散系数与含水率呈“凸”形增长关系,与干密度的相关系数远高于含水率。基于试验实测数据进行线性回归分析,修订Cote-Konrad 模型与Gangadhara Rao 模型,显著提高模型对珊瑚细砂导热系数预测准确性;通过De Vries 模型与Xu 模型的线性修正,大幅缩小珊瑚细砂体积比热容预测值与实测值的差异,在 Dai 模型相关系数的二元拟合分析基础上,建立表征珊瑚细砂热扩散系数预测模型,为岛礁隔热、控温工程设计以及珊瑚砂热物理特性研究提供参考。
Abstract
The construction of islands and reefs in the South China Sea is progressing smoothly under the strengthening of China’s maritime development. The ground source heat pump technology and energy pile etc.
which take shallow reef flat as medium
are essentially a process of energy exchange with reef sand medium
so it is necessary to further grasp the evolution law of thermal conductivity of coral sand. In this paper
coral fine sand of South China Sea reef was examined. Three thermophysical parameters including thermal conductivity
volumetric heat capacity
and thermal diffusivity
were measured
and the influence of dry density and water content on the thermophysical parameters were analyzed. The predicted data by 12 thermophysical parameter models for sand soil were compared with the measured data for analogical analysis. On this basis
an empirical model suitable for predicting the thermal conductivity of coral fine sand was developed. The results show that the thermal conductivity
volumetric heat capacity and thermal diffusivity of coral sand are positively correlated with dry density
and the correlation coefficients of thermal conductivity and volumetric heat capacity with water content are higher than that of dry density
while the correlation coefficient of thermal diffusivity with water content has a “convex” growth relationship
and the correlation coefficient with dry density is much higher than that of water content. The Cote & Konrad model and the Gangadhara Rao model were amended through the linear regression analysis of the measured data. The prediction accuracy of thermal conductivity of coral fine sand by the model was significantly improved. The difference between the predicted and measured values of the volumetric heat capacity of coral sand was significantly reduced by the linear correction of the De Vries model and the Xu model. Based on the binary fitting analysis of the correlation coefficient of Dai model
a prediction model characterizing the thermal diffusivity of coral fine sand was established to provide reference for the design of insulation and temperature control engineering of island reefs as well as the study of thermophysical properties of coral sand.