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Aggregate Packing Characteristics of...

Pouranian, Mohammadreza,

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Aggregate Packing Characteristics of Asphalt Mixtures /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Aggregate Packing Characteristics of Asphalt Mixtures // Mohammadreza Pouranian.
Author:	Pouranian, Mohammadreza,
Description:	1 electronic resource (149 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 84-12, Section: A.
Contained By:	Dissertations Abstracts International84-12A.
Subject:	Load. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30503489
ISBN:	9798379680572

Aggregate Packing Characteristics of Asphalt Mixtures /
Pouranian, Mohammadreza,

Aggregate Packing Characteristics of Asphalt Mixtures /Mohammadreza Pouranian. - 1 electronic resource (149 pages)

Source: Dissertations Abstracts International, Volume: 84-12, Section: A.

Voids in the mineral aggregate (VMA), as a main volumetric design parameter in the Superpave mixture design method, is an important factor to ensure asphalt mixture durability and rutting performance. Moreover, an asphalt mixture's aggregate skeleton, related to VMA, is another important factor that affects critical asphalt mixture properties such as durability, workability, permeability, rutting, and cracking resistance. The objective of this study is to evaluate the effects of aggregate size distribution and shape parameters on aggregate packing characteristics (volumetric and compaction properties) of asphalt mixtures. Three tasks were undertaken to reach this goal.The first task was to propose an analytical approach for estimating changes in voids in the mineral aggregate (VMA) due to gradation variation and determining the relevant aggregate skeleton characteristics of asphalt mixtures using the linear-mixture packing model, an analytical packing model that considers the mechanisms of particle packing, filling and occupation. Application of the linear-mixture packing model to estimate the VMA of asphalt mixtures showed there is a high correlation between laboratory measured and model estimated values. Additionally, the model defined a new variable, the central particle size of asphalt mixtures that characterized an asphalt mixture's aggregate skeleton. Finally, the proposed analytical model showed a significant potential to be used in the early stages of asphalt mixture design to determine the effect of aggregate gradation changes on VMA and to predict mixture rutting performance.As the second task, a framework to define and understand the aggregate structure of asphalt mixtures was proposed. To develop this framework, an analytical model for binary mixtures was proposed. The model considers the effect of size ratio and air volume between the particles on the aggregate structure and packing density of binary mixtures. Based on this model, four aggregate structures, namely coarse pack (CP), coarse-dense pack (CDP), fine-dense pack (FDP) and fine pack (FP), were defined. The model was validated using a series of 3D discrete element simulation. Furthermore, the simulation of multi-sized aggregate blends using two representative sizes for fine and coarse stockpiles was carried out to apply the proposed analytical model to actual aggregate blends. The numerical simulations verified the proposed analytical model could satisfactorily determine the particle structure of binary and multi-sized asphalt mixture gradations and could, therefore, be used to better design asphalt mixtures for improved performance.The third task virtually investigated the effect of shape characteristics of coarse aggregates on the compactability of asphalt mixtures using a discreet element method (DEM). The 3D particles were constructed using a method based on discrete random fields' theory and spherical harmonic and their size distribution in the container was controlled by applying a constrained Voronoi tessellation (CVT) method. The effect of fine aggregates and asphalt binder was considered by constitutive Burger's interaction model between coarse particles. Five aggregate shape descriptors including flatness, elongation, roundness, sphericity and regularity and, two Superpave gyratory compactor (SGC) parameters (initial density at Nini and compaction slope) were selected for investigation and statistical analyses. Results revealed that there is a statistically significant correlation between flatness, elongation, roundness, and sphericity as shape descriptors and initial density as compaction parameter.

English

ISBN: 9798379680572Subjects--Topical Terms:

3562902
Load.

Aggregate Packing Characteristics of Asphalt Mixtures /
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100 1 $a Pouranian, Mohammadreza, $e author. $3 3824719
245 1 0 $a Aggregate Packing Characteristics of Asphalt Mixtures / $c Mohammadreza Pouranian.
264 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2019
300 $a 1 electronic resource (149 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
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500 $a Source: Dissertations Abstracts International, Volume: 84-12, Section: A.
500 $a Advisors: Haddock, John E. Committee members: Olek, Jan; Zavattieri, Pablo D.; Gonzalez, Marcial.
502 $b Ph.D. $c Purdue University $d 2019.
520 $a Voids in the mineral aggregate (VMA), as a main volumetric design parameter in the Superpave mixture design method, is an important factor to ensure asphalt mixture durability and rutting performance. Moreover, an asphalt mixture's aggregate skeleton, related to VMA, is another important factor that affects critical asphalt mixture properties such as durability, workability, permeability, rutting, and cracking resistance. The objective of this study is to evaluate the effects of aggregate size distribution and shape parameters on aggregate packing characteristics (volumetric and compaction properties) of asphalt mixtures. Three tasks were undertaken to reach this goal.The first task was to propose an analytical approach for estimating changes in voids in the mineral aggregate (VMA) due to gradation variation and determining the relevant aggregate skeleton characteristics of asphalt mixtures using the linear-mixture packing model, an analytical packing model that considers the mechanisms of particle packing, filling and occupation. Application of the linear-mixture packing model to estimate the VMA of asphalt mixtures showed there is a high correlation between laboratory measured and model estimated values. Additionally, the model defined a new variable, the central particle size of asphalt mixtures that characterized an asphalt mixture's aggregate skeleton. Finally, the proposed analytical model showed a significant potential to be used in the early stages of asphalt mixture design to determine the effect of aggregate gradation changes on VMA and to predict mixture rutting performance.As the second task, a framework to define and understand the aggregate structure of asphalt mixtures was proposed. To develop this framework, an analytical model for binary mixtures was proposed. The model considers the effect of size ratio and air volume between the particles on the aggregate structure and packing density of binary mixtures. Based on this model, four aggregate structures, namely coarse pack (CP), coarse-dense pack (CDP), fine-dense pack (FDP) and fine pack (FP), were defined. The model was validated using a series of 3D discrete element simulation. Furthermore, the simulation of multi-sized aggregate blends using two representative sizes for fine and coarse stockpiles was carried out to apply the proposed analytical model to actual aggregate blends. The numerical simulations verified the proposed analytical model could satisfactorily determine the particle structure of binary and multi-sized asphalt mixture gradations and could, therefore, be used to better design asphalt mixtures for improved performance.The third task virtually investigated the effect of shape characteristics of coarse aggregates on the compactability of asphalt mixtures using a discreet element method (DEM). The 3D particles were constructed using a method based on discrete random fields' theory and spherical harmonic and their size distribution in the container was controlled by applying a constrained Voronoi tessellation (CVT) method. The effect of fine aggregates and asphalt binder was considered by constitutive Burger's interaction model between coarse particles. Five aggregate shape descriptors including flatness, elongation, roundness, sphericity and regularity and, two Superpave gyratory compactor (SGC) parameters (initial density at Nini and compaction slope) were selected for investigation and statistical analyses. Results revealed that there is a statistically significant correlation between flatness, elongation, roundness, and sphericity as shape descriptors and initial density as compaction parameter.
546 $a English
590 $a School code: 0183
650 4 $a Load. $3 3562902
650 4 $a Permeability. $3 915594
650 4 $a Roads & highways. $3 3555163
650 4 $a Aggregates. $3 3564159
650 4 $a Asphalt pavements. $3 3564809
650 4 $a Particle size. $3 3564817
650 4 $a Energy. $3 876794
650 4 $a Design techniques. $3 3561498
650 4 $a Designers. $3 589292
650 4 $a Civil engineering. $3 860360
650 4 $a Design. $3 518875
650 4 $a Transportation. $3 555912
690 $a 0791
690 $a 0543
690 $a 0389
690 $a 0709
710 2 $a Purdue University. $e degree granting institution. $3 3759105
720 1 $a Haddock, John E. $e degree supervisor.
773 0 $t Dissertations Abstracts International $g 84-12A.
790 $a 0183
791 $a Ph.D.
792 $a 2019
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30503489