The research objective was to evaluate the pavement temperature profile from the surface, base, and subbase layers of a test track located in Southern Taiwan. The scope was to install a real-time and multilayered temperature monitoring station along with the weather station that allows both temperature and climate data to be recorded and stored continuously. The real-time and multilayered temperature monitoring station consists of thermocouples that were installed from the surface in-depth 1, 2.5, 5, 10, 15, 20, 32.5, 45, 70, and 90-cm and the weather station comprises of ambient temperature, humidity, pressure, wind, solar radiation, UV, and precipitations sensors to record local climate patterns. Both stations record data in every five minutes since May 1, 2017. It has to be noted that thermocouples were installed when the test tract was under the road widening project and the overall pavement layers were in need of reconstructed. Hence, the process of installing thermocouples was kicked off bottom-up from subbase, base, and surface layers. In mid of July 2017, additional thermocouple was later installed right on the top of the surface, indicating 0-cm, in order to record the most direct and imminent change on the pavement surface. In this paper, we like to present three extreme weather conditions occurring from May to August 2017 including the “Monsoon (Plum) rainfall”, “Typhoons Nesat and Haitang”, and “heat waves”, and what those climate patterns would affect the pavement temperature profile. More details and analysis will be presented in the Conference in Denver.
Yu-Min Su, Jui-An Wu, Tsung-Chin Hou, Ping-Ni Hou, and Ming-Gin Lee, "The preliminary evaluation of pavement temperature profile in conjunction with a real-time and multilayered temperature monitoring stations (Conference Presentation)," Proc. SPIE 10599, Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XII, 105990C (Presented at SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring: March 05, 2018; Published: 3 April 2018); https://doi.org/10.1117/12.2296340.5763077742001.
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