Use of Advanced Aggregate Imaging Systems to Evaluate Aggregate Resistance to Breakage, Abrasion, and Polishing

Author:

Moaveni Maziar1,Mahmoud Enad2,Ortiz Eduardo Madrigal3,Tutumluer Erol1,Beshears Sheila4

Affiliation:

1. Department of Civil and Environmental Engineering, University of Illinois at Urbana–Champaign, 205 North Mathews Avenue, Urbana, IL 61801.

2. Civil Engineering Program, University of Texas–Pan American, 1201 West University Drive, Edinburg, TX 78539.

3. Department of Civil Engineering and Construction, Bradley University, 1501 West Bradley Avenue, Peoria, IL 61625.

4. Bureau of Materials and Physical Research, Illinois Department of Transportation, 126 East Ash Street, Springfield, IL 62704.

Abstract

Aggregate gradation and shape properties are known to affect pavement mechanistic response and performance significantly. Under repeated traffic loading, aggregate particles in pavement courses are routinely subjected to degradation through attrition, impact, grinding, and polishing mechanisms, which alter their shape and size properties. Machine vision provides an objective and quantitative measurement of aggregate particle shape or morphological properties, including flatness and elongation, angularity, and surface texture. This paper focuses on the effectiveness of two advanced and validated aggregate imaging systems: an enhanced University of Illinois aggregate image analyzer (E-UIAIA) and a second-generation aggregate imaging system (AIMS-II)—for capturing changes in shape and size properties of aggregate particles caused by breakage, abrasion, and polishing actions. The micro-Deval apparatus was used in the laboratory to evaluate field degradation and polishing resistance of 11 aggregate materials with different mineralogical properties, collected from throughout Illinois and neighboring states. More than 26,000 particles were scanned with both imaging systems at various time intervals, and changes in aggregate morphological indexes were recorded. Despite differences in image acquisition and processing capabilities, both E-UIAIA and AIMS-II successfully quantified changes in morphological properties of particles from the micro-Deval tests. However, AIMS-II more closely reflected historical data on aggregate frictional properties obtained by the Illinois Department of Transportation. The imaging results were used to develop regression-based statistical models for determining aggregate polishing and degradation trends by considering both rate and magnitude of changes in shape properties.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Civil and Structural Engineering

Reference26 articles.

1. Aggregate Morphology Affecting Strength and Permanent Deformation Behavior of Unbound Aggregate Materials

2. IndraratnaB., and SalimW. S. Mechanics of Ballasted Rail Tracks: A Geotechnical Perspective. Taylor & Francis, London, 2005, pp. 28–30.

Cited by 40 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