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Multi-Objective Optimization Design and Test of Compound Diatomite and Basalt Fiber Asphalt Mixture
This study focuses on improving the performance of asphalt mixture at low- and high- temperature and analyzing the effect of diatomite and basalt fiber on the performance of the asphalt mixture. Based on the L(16)(4(5)) orthogonal experimental design (OED), the content of diatomite (D) and basalt fi...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6539369/ https://www.ncbi.nlm.nih.gov/pubmed/31064147 http://dx.doi.org/10.3390/ma12091461 |
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author | Cheng, Yongchun Li, Liding Zhou, Peilei Zhang, Yuwei Liu, Hanbing |
author_facet | Cheng, Yongchun Li, Liding Zhou, Peilei Zhang, Yuwei Liu, Hanbing |
author_sort | Cheng, Yongchun |
collection | PubMed |
description | This study focuses on improving the performance of asphalt mixture at low- and high- temperature and analyzing the effect of diatomite and basalt fiber on the performance of the asphalt mixture. Based on the L(16)(4(5)) orthogonal experimental design (OED), the content of diatomite (D) and basalt fiber (B) and the asphalt-aggregate (A) ratio were selected as contributing factors, and each contributing factor corresponded to four levels. Bulk volume density (γ(f)), volume of air voids (VV), voids filled with asphalt (VFA), Marshall stability (MS) and splitting strength at −10 °C (S(b)) were taken as the evaluation indexes. According to the results of the orthogonal experiment, the range analysis and variance analysis were used to study the effect of the diatomite content, basalt fiber content and asphalt-aggregate ratio on the performance of the asphalt mixture, and the grey correlation grade analysis (GCGA) was used to obtain the optimal mixing scheme. Furthermore, the performance tests were conducted to evaluate the performance improvement of asphalt mixtures with diatomite and basalt fibers, and the scanning electron microscopy (SEM) tests were carried out to analyze the mechanism of diatomite and basalt fibers in asphalt mixtures. The results revealed that the addition of diatomite and basalt fiber can significantly increase the VV of asphalt mixture, and reduce γ(f) and VFA; the optimal performance of the asphalt mixture at high- and low-temperature are achieved with 14% diatomite, 0.32% basalt fibers and 5.45% asphalt-aggregate ratio. Moreover, the porous structure of diatomite and the overlapping network of basalt fibers are the main reasons for improving the performance of asphalt mixture. |
format | Online Article Text |
id | pubmed-6539369 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-65393692019-06-05 Multi-Objective Optimization Design and Test of Compound Diatomite and Basalt Fiber Asphalt Mixture Cheng, Yongchun Li, Liding Zhou, Peilei Zhang, Yuwei Liu, Hanbing Materials (Basel) Article This study focuses on improving the performance of asphalt mixture at low- and high- temperature and analyzing the effect of diatomite and basalt fiber on the performance of the asphalt mixture. Based on the L(16)(4(5)) orthogonal experimental design (OED), the content of diatomite (D) and basalt fiber (B) and the asphalt-aggregate (A) ratio were selected as contributing factors, and each contributing factor corresponded to four levels. Bulk volume density (γ(f)), volume of air voids (VV), voids filled with asphalt (VFA), Marshall stability (MS) and splitting strength at −10 °C (S(b)) were taken as the evaluation indexes. According to the results of the orthogonal experiment, the range analysis and variance analysis were used to study the effect of the diatomite content, basalt fiber content and asphalt-aggregate ratio on the performance of the asphalt mixture, and the grey correlation grade analysis (GCGA) was used to obtain the optimal mixing scheme. Furthermore, the performance tests were conducted to evaluate the performance improvement of asphalt mixtures with diatomite and basalt fibers, and the scanning electron microscopy (SEM) tests were carried out to analyze the mechanism of diatomite and basalt fibers in asphalt mixtures. The results revealed that the addition of diatomite and basalt fiber can significantly increase the VV of asphalt mixture, and reduce γ(f) and VFA; the optimal performance of the asphalt mixture at high- and low-temperature are achieved with 14% diatomite, 0.32% basalt fibers and 5.45% asphalt-aggregate ratio. Moreover, the porous structure of diatomite and the overlapping network of basalt fibers are the main reasons for improving the performance of asphalt mixture. MDPI 2019-05-06 /pmc/articles/PMC6539369/ /pubmed/31064147 http://dx.doi.org/10.3390/ma12091461 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Cheng, Yongchun Li, Liding Zhou, Peilei Zhang, Yuwei Liu, Hanbing Multi-Objective Optimization Design and Test of Compound Diatomite and Basalt Fiber Asphalt Mixture |
title | Multi-Objective Optimization Design and Test of Compound Diatomite and Basalt Fiber Asphalt Mixture |
title_full | Multi-Objective Optimization Design and Test of Compound Diatomite and Basalt Fiber Asphalt Mixture |
title_fullStr | Multi-Objective Optimization Design and Test of Compound Diatomite and Basalt Fiber Asphalt Mixture |
title_full_unstemmed | Multi-Objective Optimization Design and Test of Compound Diatomite and Basalt Fiber Asphalt Mixture |
title_short | Multi-Objective Optimization Design and Test of Compound Diatomite and Basalt Fiber Asphalt Mixture |
title_sort | multi-objective optimization design and test of compound diatomite and basalt fiber asphalt mixture |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6539369/ https://www.ncbi.nlm.nih.gov/pubmed/31064147 http://dx.doi.org/10.3390/ma12091461 |
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