Analysing Witczak 1-37A, Witczak 1-40D and Modified Hirsch Models for asphalt dynamic modulus prediction using global sensitivity analysis
Author:
Affiliation:
1. Civil Engineering Department, Faculty of Engineering, Assiut University, Assiut, Egypt
2. On leave to Faculty of Engineering, Sphinx University, New Assiut City, Egypt
Publisher
Informa UK Limited
Subject
Mechanics of Materials,Civil and Structural Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/10298436.2023.2268808
Reference97 articles.
1. Sensitivity analysis of a new dynamic modulus (|E*|) model for asphalt mixtures
2. A comparative reliability study of corroded pipelines based on Monte Carlo Simulation and Latin Hypercube Sampling methods
3. Aggarwal P. 2017. Predicting dynamic modulus for bituminous concrete using support vector machineed.^eds. 2017 International Conference on Infocom Technologies and Unmanned Systems (Trends and Future Directions)(ICTUS) IEEE 751–755.
4. A new simplistic model for dynamic modulus predictions of asphalt paving mixtures;Al-Khateeb G.;Journal of the Association of Asphalt Paving Technologists,2006
5. Investigation of factors affecting dynamic modulus and phase angle of various asphalt concrete mixtures
Cited by 7 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
1. Modeling green recycled aggregate concrete using machine learning and variance-based sensitivity analysis;Construction and Building Materials;2024-08
2. Deep Learning for Integrated Origin–Destination Estimation and Traffic Sensor Location Problems;IEEE Transactions on Intelligent Transportation Systems;2024-07
3. Prioritizing rear-end crash explanatory factors for injury severity level using deep learning and global sensitivity analysis;Expert Systems with Applications;2024-07
4. Revolutionising Egyptian pavement design: a comprehensive E* database and advanced modeling approach for contextually informed performance predictions;International Journal of Pavement Engineering;2024-04-05
5. New Approach for Estimating Intersection Control Delay From Passive Traffic Sensors at Network Level;IEEE Access;2024
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