摘要
微型土压力盒室内砂土标定试验是提高相关地下结构模型试验精度的主要方法.本研究探讨了土压力盒的埋设方式、上部填砂厚度、标定桶尺寸对结构界面单膜电阻式微型土压力盒室内砂土标定试验结果的影响.研究结果表明,将土压力盒嵌入底板内的埋设方式能够降低标定误差,同时若想提高模型试验中土压力盒的量测精度,需采用与模型试验一致的埋设方式进行室内砂土标定试验;随着上部填砂厚度和标定桶尺寸的增加,标定误差呈现先减小后增大的趋势;为了降低微型土压力盒室内砂土标定试验的标定误差,建议土压力盒的埋设方式为嵌入底板内,上部填砂厚度为所用土压力盒直径的3~4倍,标定桶直径为所用土压力盒直径的8.6~10倍.
The laboratory sand calibration test of the miniature earth pressure cell is the main method to improve the accuracy of the underground structure model test. In this research,the influence of the embedding method of the earth pressure cell,the upper sand filling thickness,and the size of the calibration bucket on the results of the calibration test of single membrane resistance type miniature earth pressure cell set on the structural surface is discussed. The results show that the method of inserting the earth pressure cell into the plate can reduce the calibration error. At the same time,it is necessary to use the embedding method consistent with the model test for laboratory sand calibration test to improve the measurement accuracy of the earth pressure cell in the model test. With the increase of the upper sand filling thickness and the size of the calibration bucket,the calibration errors first decrease and then increase. In order to reduce the calibration error of the laboratory sand calibration test,it is recommended to insert the earth pressure cell into the plate.At the same time,the upper sand filling thickness should be 3 to 4 times of the diameter of the earth pressure cell used,and the diameter of the calibration bucket should be 8.6 to 10 times of the diameter of the earth pressure cell used.
作者
赵世永
ZHAO Shiyong(China Railway 15th Bureau Group Co.Ltd.,Shanghai 200070,China;China Railway 15th Bureau Group Urban Rail Transit Engineering Co.Ltd.,Luoyang 471000,Henan China)
出处
《河南科学》
2022年第1期39-45,共7页
Henan Science
基金
国家自然科学基金项目(51508520)
国家重点研发计划资助(2017YFC1502600)
河南省重点研发与推广专项(科技攻关)项目(202102310586)
河南省住房城乡建设科技计划项目(K1818)。
关键词
土压力盒
结构界面
标定试验
匹配系数
误差分析
earth pressure cell
structural surface
calibration test
matching coefficient
error analysis