Development of a Mechanistic Method to Obtain Load Position Strain in Instrumented Pavement

Author:

Hu Guiling,Han Wenyang,Wei Jincheng,Wang Deqing,Zhang Xiaomeng,Hu Wenjun,Chen Wei

Abstract

To study the in-situ response and performance of asphalt pavement, instrumenting pavement with a variety of sensors has become one of the most important tools in the field or accelerated load facilities. In the dynamic response collection process, engineers are more concerned with the load position strain of the pavement structure due to wheel wander. This paper proposes a method to obtain the load position and the strain at the load position when there is no lateral-axis positioning system based on multilayer elastic theory. The test section was paved in the field with installed strain sensors to verify and apply the proposed method. The verification results showed that both the calculated load position and load position strain matched the measured values with an absolute difference range of 5–60 mm, 0.5–2.5 με, respectively. The application results showed that the strain at the load position calculated by the proposed method had a good correlation with the temperature, as expected.

Funder

Shandong Provincial Natural Science and Foundation

Publisher

MDPI AG

Subject

Materials Chemistry,Surfaces, Coatings and Films,Surfaces and Interfaces

Reference21 articles.

1. Design and Instrumentation of the Structural Pavement Experiment at the NCAT Test Track. Report No. 04-01;Timm,2004

2. The Virginia Smart Road: The impact of pavement instrumentation on understanding pavement performance;Al-Qadi;J. Assoc. Asph. Paving Technol.,2004

3. Dynamic Modulus-based Field Rut Prediction Model from an Instrumented Pavement Section;Nur;Procedia-Soc. Behav. Sci.,2013

4. Fatigue life evaluation of pavement embankments made with tire derived aggregates

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3