A digital design method for asphalt mixtures that incorporates aggregate geometry

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F24%3A00372184" target="_blank" >RIV/68407700:21110/24:00372184 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1016/j.conbuildmat.2024.135281" target="_blank" >https://doi.org/10.1016/j.conbuildmat.2024.135281</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.conbuildmat.2024.135281" target="_blank" >10.1016/j.conbuildmat.2024.135281</a>

Jazyk výsledku

angličtina

Název v původním jazyce

A digital design method for asphalt mixtures that incorporates aggregate geometry

Popis výsledku v původním jazyce

This paper presents a new Data-Driven digital method for selecting aggregates and bitumen content in hot mix asphalts (HMA) to achieve desired properties such as air voids content, workability, Marshall stability, and Marshall flow through a streamlined process. The proposed method consists of three steps: first, Dynamic Image Analysis is used to extract the geometric characteristics of the aggregates in asphalt mixtures. Second, physics engine software is used to assist estimating the number of aggregates and volume of mastic (bitumen, filler, and aggregates with Min Feret < 2 mm) in a fixed 250 g of asphalt mixtures. The generated number of aggregates and volume of mastic correspond to the aggregate gradation and bitumen content in the mixture. Third, the number of aggregates and volume of mastic that meet the desired properties are obtained based on correlations between the air voids content, workability, Marshall stability, Marshall flow, and the number of aggregates and volume of mastic. The proposed method achieved a 94% predictive accuracy for nine mixtures with consistent aggregate and bitumen. However, in a sensitivity analysis involving diverse asphalt mixtures, the predictive accuracy decreased to 78%. The authors have demonstrated that the number of aggregates, informed by their shapes, and volume of mastic significantly influence HMA performance and should be carefully controlled in future asphalt mix design, especially in creating realistic digital HMA representations. The proposed digital approach is expected to minimise the need for time-consuming and laborious physical and mechanical tests to determine the properties of new asphalt mixtures.

Název v anglickém jazyce

A digital design method for asphalt mixtures that incorporates aggregate geometry

Popis výsledku anglicky

This paper presents a new Data-Driven digital method for selecting aggregates and bitumen content in hot mix asphalts (HMA) to achieve desired properties such as air voids content, workability, Marshall stability, and Marshall flow through a streamlined process. The proposed method consists of three steps: first, Dynamic Image Analysis is used to extract the geometric characteristics of the aggregates in asphalt mixtures. Second, physics engine software is used to assist estimating the number of aggregates and volume of mastic (bitumen, filler, and aggregates with Min Feret < 2 mm) in a fixed 250 g of asphalt mixtures. The generated number of aggregates and volume of mastic correspond to the aggregate gradation and bitumen content in the mixture. Third, the number of aggregates and volume of mastic that meet the desired properties are obtained based on correlations between the air voids content, workability, Marshall stability, Marshall flow, and the number of aggregates and volume of mastic. The proposed method achieved a 94% predictive accuracy for nine mixtures with consistent aggregate and bitumen. However, in a sensitivity analysis involving diverse asphalt mixtures, the predictive accuracy decreased to 78%. The authors have demonstrated that the number of aggregates, informed by their shapes, and volume of mastic significantly influence HMA performance and should be carefully controlled in future asphalt mix design, especially in creating realistic digital HMA representations. The proposed digital approach is expected to minimise the need for time-consuming and laborious physical and mechanical tests to determine the properties of new asphalt mixtures.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20101 - Civil engineering

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Construction and Building Materials

ISSN

0950-0618

e-ISSN

1879-0526

Svazek periodika

416

Číslo periodika v rámci svazku

February

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

12

Strana od-do

—

Kód UT WoS článku

001179524100001

EID výsledku v databázi Scopus

2-s2.0-85184511341