A Mechanistic Design Approach for Graphite Nanoplatelet (GNP) Reinforced Asphalt Mixtures for Low-Temperature Applications

Marasteanu, Mihai; Le, Jia-Liang; Hendrickson, Rebecca; Minnesota. Dept. of Transportation. Research Services & Library; University of Minnesota. Dept. of Civil, Environmental, and Geo-Engineering

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A Mechanistic Design Approach for Graphite Nanoplatelet (GNP) Reinforced Asphalt Mixtures for Low-Temperature Applications

2018-01-01
By Marasteanu, Mihai ; Le, Jia-Liang ; Hendrickson, Rebecca

[PDF-2.47 MB]

English

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Creators:

Marasteanu, Mihai ; Le, Jia-Liang ; Hendrickson, Rebecca

Marasteanu, Mihai ; Le, Jia-Liang ; Hendrickson, Rebecca Less -
Corporate Creators:

Minnesota. Dept. of Transportation. Research Services & Library ; University of Minnesota. Dept. of Civil, Environmental, and Geo-Engineering

Minnesota. Dept. of Transportation. Research Services & Library ; University of Minnesota. Dept. of Civil, Environmental, and Geo-Engineering Less -
Subject/TRT Terms:

[+]

Aggregates By Shape And Surface Texture Asphalt Mixtures Coarse Aggregates Fine Aggregates Graphite Low Temperature Mechanistic Design Pavement Cracking Simulation
Publication/ Report Number:

MN/RC 2018-02
Resource Type:

Tech Report
Geographical Coverage:

Minnesota
Corporate Publisher:

Minnesota. Dept. of Transportation
NTL Classification:

NTL-HIGHWAY/ROAD TRANSPORTATION-Pavement Management and Performance
Abstract:

This report explores the application of a discrete computational model for predicting the fracture behavior of asphalt mixtures at low temperatures based on the results of simple laboratory experiments. In this discrete element model, coarse aggregates are explicitly represented by spheres, and these spheres are connected by bonds representing the fine aggregate mixture, a.k.a. FAM, (i.e. asphalt binder with the fine-size aggregates). A literature review examines various methods of computational modeling of asphalt materials, as well as the application of nanomaterials to asphalt materials. Bending beam rheometer (BBR) tests are performed to obtain the mechanical properties of the fine aggregate mixture (FAM) at low temperatures. The computational model is then used to simulate the semi-circular bend (SCB) tests of the mixtures. This study considers both the conventional asphalt materials and graphite nanoplatelet (GNP) reinforced asphalt materials. The comparison between the simulated and experimental results on SCB tests shows that by employing a softening constitutive model of the FAM the discrete element model is capable of predicting the entire load-deflection curve of the SCB specimens. Based on the dimensional analysis, a parametric study is performed to understand the influence of properties of FAM on the predicted behavior of SCB specimens.
Format:

PDF
Alternate URL:

http://www.dot.state.mn.us/research/reports/2018/201802.pdf
Funding:

(c) 99008 (wo) 186
Collection(s):

US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:bef2cd00313b47c2f3fc2c2f349a1b56dd687b44d24f150cab0aad3c6eb06b59
Download URL:

https://rosap.ntl.bts.gov/view/dot/35665/dot_35665_DS1.pdf
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A Mechanistic Design Approach for Graphite Nanoplatelet (GNP) Reinforced Asphalt Mixtures for Low-Temperature Applications

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