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Erol Tutumluer

Researcher at University of Illinois at Urbana–Champaign

Publications -  399
Citations -  7016

Erol Tutumluer is an academic researcher from University of Illinois at Urbana–Champaign. The author has contributed to research in topics: Aggregate (composite) & Ballast. The author has an hindex of 39, co-authored 380 publications receiving 5721 citations. Previous affiliations of Erol Tutumluer include University of Texas at Austin & Montana State University.

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Evaluation of image analysis techniques for quantifying aggregate shape characteristics

TL;DR: In this article, the most widely used aggregate shape analysis techniques were evaluated and the analysis results revealed that some of the available analysis methods are influenced by both angularity and form changes and, consequently, are not suitable to distinguish between these two characteristics.
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Quantification of Coarse Aggregate Angularity Based on Image Analysis

TL;DR: In this article, a quantifiable index based on image analysis to characterize the angularity of coarse aggregate used in pavement layers is described, which can accurately quantify the influence of aggregate angularity on asphalt concrete, portland cement concrete, and granular mix performance.
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Discrete Element Modeling for fouled railroad ballast

TL;DR: In this paper, an image-aided discrete element modeling (DEM) approach was introduced to simulate the coal dust fouled track field settlement performance, and the results from the simulation revealed that fouling could lead to unfavorable track distresses such as “hanging tie”.
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Laboratory Characterization of Fouled Railroad Ballast Behavior

TL;DR: In this paper, the effects of different fouling agents on ballast aggregate shear strength were studied at the University of Illinois using a large direct shear (shear box) device, and the strength properties of both clean and fouled ballast samples were determined when three types of fine materials (coal dust, plastic clayey soil, and mineral filler) were added to clean ballast sample under both dry and wet [mostly optimum moisture content (OMC)] conditions.
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Aggregate Morphology Affecting Strength and Permanent Deformation Behavior of Unbound Aggregate Materials

TL;DR: In this article, the influence of coarse aggregate morphologies on the strength and permanent deformation behavior of unbound aggregate materials was investigated using two shape indices, angularity index (AI) and surface texture index (ST), based on image analysis.