Forecasting the polishing resistance of regional aggregates based on mineral composition DOI
Khedoudja Soudani, Saci Abdelhakim Ferkous, Véronique Cerezo

и другие.

STUDIES IN ENGINEERING AND EXACT SCIENCES, Год журнала: 2024, Номер 5(2), С. e10645 - e10645

Опубликована: Ноя. 14, 2024

The skid resistance of road pavements is dependent on mineralogical properties the aggregates, as well their ability to resist polishing over time. This defined aggregates wear tires. It characterized in laboratory by using a test called "PSV: polished stone value", allowing give, from coefficient, an assessment quality view friction action vehicle Our study consists analysing and modelling based SEM XRD analysis. Three analytical techniques formed basis this : nonlinear regression, principal component analysis artificial neural network. For these purposes, six quarries covering different Algerian area were chosen, 28 samples with two for each quarry used determine value results found shown that composition doesn’t play key role initial aggregate micro-texture, but very strong correlation exists between tested according calculation sum squared residual normalized error. was also be most reliable robust technique estimating resistance.

Язык: Английский

Research on the range of texture parameters and design indicators of aggregates morphology in the wearing layer DOI
Xiyin Liu, Tianxiang Bu, Siyu Chen

и другие.

Materials and Structures, Год журнала: 2025, Номер 58(4)

Опубликована: Май 1, 2025

Язык: Английский

Процитировано

1

Design of Dynamic Polyurethanes toward Ultrahigh-Performance Asphalt DOI
Weihua Qiu, Liang Jiang, Kai Li

и другие.

Industrial & Engineering Chemistry Research, Год журнала: 2025, Номер unknown

Опубликована: Май 16, 2025

Язык: Английский

Процитировано

0

Forecasting the polishing resistance of regional aggregates based on mineral composition DOI
Khedoudja Soudani, Saci Abdelhakim Ferkous, Véronique Cerezo

и другие.

STUDIES IN ENGINEERING AND EXACT SCIENCES, Год журнала: 2024, Номер 5(2), С. e10645 - e10645

Опубликована: Ноя. 14, 2024

The skid resistance of road pavements is dependent on mineralogical properties the aggregates, as well their ability to resist polishing over time. This defined aggregates wear tires. It characterized in laboratory by using a test called "PSV: polished stone value", allowing give, from coefficient, an assessment quality view friction action vehicle Our study consists analysing and modelling based SEM XRD analysis. Three analytical techniques formed basis this : nonlinear regression, principal component analysis artificial neural network. For these purposes, six quarries covering different Algerian area were chosen, 28 samples with two for each quarry used determine value results found shown that composition doesn’t play key role initial aggregate micro-texture, but very strong correlation exists between tested according calculation sum squared residual normalized error. was also be most reliable robust technique estimating resistance.

Язык: Английский

Процитировано

0