Determination of flexible pavement deterioration conditions using Long‐Term Pavement Performance database and artificial intelligence‐based finite element model updating

Author:

Deng Yong1,Luo Xue2ORCID,Zhang Yazhou3,Cai Shengxin1,Huang Kai4,Shi Xijun5,Lytton Robert L.1

Affiliation:

1. Zachry Department of Civil and Environmental Engineering Texas A&M University College Station TX USA

2. College of Civil Engineering and Architecture Zhejiang University Hangzhou China

3. Structural Engineering Design Department of the Fourth Survey and Design Branch CCCC Second Highway Consultants Co., Ltd Wuhan China

4. Texas A&M Engineering Experiment Station Texas A&M University College Station TX USA

5. Ingram School of Engineering Texas State University San Marcos TX USA

Publisher

Wiley

Subject

Mechanics of Materials,Building and Construction,Civil and Structural Engineering

Reference45 articles.

1. 3D simulation of deflection basin of pavements under high‐speed moving loads;Deng Y;Construct Build Mater,2019

2. Kinetics‐based aging prediction of asphalt mixtures using field deflection data;Luo X;International Journal of Pavement Engineering,2019

3. ARA‐ERES (Applied Research Associates Inc. ERES Consultants Division).Guide for mechanistic–empirical design of new and rehabilitated pavement structures Final report NCHRP Project 1‐37A Transportation Research Board Washington D.C.2004.

4. ZhouF NewcombD GurganusC et al.Experimental design for field validation of laboratory tests to assess cracking resistance of asphalt mixtures. No. NCHRP Project 9–57 National Cooperative Highway Research Program Transportation Research Board of the National Academies Washington D.C.2016.

5. LyttonRL LuoX LingM ChenY HuS GuF.A mechanistic–empirical model for top–down cracking of asphalt pavements layers No. NCHRP Project 01–52 National Cooperative Highway Research Program Transportation Research Board of the National Academies Washington D.C.2018.

Cited by 19 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