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Seasonal and Temperature Adjustment Models of Pavement Properties from Seismic Nondestructive Evaluation

机译:地震无损评价的路面特性季节性和温度调整模型

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New Jersey Department of Transportation (NJDOT) initiated a study with an objective to calibrate the AASHTO seasonal and temperature adjustment models, or to develop new ones that will take into consideration New Jersey specific environmental conditions. To achieve the objective, twenty-four pavement sections were instrumented to monitor pavement temperature and moisture, frost/heave penetration depth, rainfall and air temperature. A nondestructive testing (NDT) program was conducted on these sections for a period of two years. Seismic Pavement Analyzer (SPA) and Falling Weigh Deflectometer (FWD) were used to evaluate the pavement structural response and pavement properties (elastic moduli) on a monthly basis. From the collected environmental and NDT data, temperature and seasonal models were developed through statistical analyses, such as analysis of variance (ANOVA) and regression analysis. The scope of the project is presented and pavement evaluations using SPA are discussed. Correlation of pavement layer moduli to environmental variables from three seismic tests: Ultrasonic Surface Wave (USW), Impulse Response (IR), and Spectral Analysis of Surface Waves (SASW) are presented and observed trends are discussed.
机译:新泽西州的交通部(NJDOT)启动了一项目的是校准季节性和温度调整模型的目的,或开发新的泽西特定环境条件的新型。为实现目的,有二十四条路面部分被仪表,以监测人行道温度和水分,霜冻/升降渗透深度,降雨和空气温度。非破坏性测试(NDT)计划在这些部分进行了两年的时间。地震路面分析仪(SPA)和下降称重偏转仪(FWD)用于按月评估路面结构响应和路面性能(弹性模量)。通过收集的环境和NDT数据,通过统计分析开发了温度和季节性模型,例如差异分析(ANOVA)和回归分析。讨论了该项目的范围,并讨论了使用SPA的路面评估。从三个地震检测中的路面层模量与环境变量的相关性:讨论了和观察到的趋势,提出了超声波表面波(USW),脉冲响应(IR),脉冲响应(SASW)和表面波的光谱分析。

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