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影响智能骨料感知的关键因素及数据分析方法 被引量:1

Key factors affecting smart aggregate perception and data analysis methods
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摘要 为研究不同荷载作用形式、封装材料和形状特性对智能骨料传感器监测结果的影响,实现基于传感器感知参数对混合料介质物理力学特征的有效评价,对埋入式智能骨料传感器SmartRock的室内二次标定进行了试验,构建了传感器-混合料介质耦合三维有限元数值模型,并开展了基于SmartRock传感器的水泥稳定碎石旋转压实和无侧限抗压强度试验。结果表明:集中荷载作用下的传感器应力响应远大于均布荷载;传感器高度与底面边长的比值H/D<0.3,埋入式传感器封装材料与周围介质模量的比值Ep/Em>5时,匹配误差可保持在较低且稳定的水平;可通过分析SmartRock传感器应力响应的离散系数Sv表征混合料压实度及强度的演化规律。 In order to investigate the influences of factors such as load form,packaging material and shape characteristics on the monitoring results of the SmartRock sensor,so as to provide an effective way for evaluation of the physical and mechanical properties of the mixture media based on sensor parameters.Firstly,the indoor secondary calibration tests of the SmartRock sensor were carried out;secondly,3D finite element numerical modelling of the embedded sensor-mixture medium coupling were used to study the matching error.In addition,the gyratory compaction and unconfined compressive strength tests of cement stabilized macadams with the SmartRock sensor were performed,and the sensor responses were analyzed.The results show that the stress response of SmartRock under concentrated load is much greater than that of a uniform load;provided the ratio of sensor height to bottom side length H/D is less than 0.3 and the ratio of the sensor package material to the modulus of the surrounding medium Ep/Em is greater than 5,a low and stable matching error can be achieved;in addition,the evolution of the compaction degree and strength of the mixture can be characterized by the dispersion coefficient Sv of the stress response of SmartRock.
作者 王宁 马涛 陈丰 付永强 WANG Ning;MA Tao;CHEN Feng;FU Yong-qiang(School of Transportation,Southeast University,Nanjing 211189,China;Lihu Street Office,Binhu District,Wuxi 214000,China)
出处 《吉林大学学报(工学版)》 EI CAS CSCD 北大核心 2023年第6期1799-1808,F0002,共11页 Journal of Jilin University:Engineering and Technology Edition
基金 国家自然科学基金青年基金项目(52208430) 江苏省自然科学基金项目(SBK202104) 江苏省双创计划项目([JSSCBS20210058]) 江苏省自然科学基金青年基金项目(SBK2021042206) 江苏省研究生科研与实践创新计划项目(KYCX22_0269).
关键词 道路工程 水泥稳定碎石 智能感知 匹配误差 埋入式传感器 road engineering cement stabilized aggregates intelligent sensing matching errors embedded sensor
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