Rutting Prediction Model of Asphalt Mixture Based on the Triaxial Repeated Load Test. (25th June 2021)
- Record Type:
- Journal Article
- Title:
- Rutting Prediction Model of Asphalt Mixture Based on the Triaxial Repeated Load Test. (25th June 2021)
- Main Title:
- Rutting Prediction Model of Asphalt Mixture Based on the Triaxial Repeated Load Test
- Authors:
- Ji, Jie
Chen, Meng
Suo, Zhi
Wei, Jianming
Wang, Jiani
Chen, Lei - Other Names:
- Luo Jin Academic Editor.
- Abstract:
- Abstract : This study establishes a more reasonable and effective rutting prediction model called the quadratic modified Burgers rheological model by considering dynamic loads. Use ABAQUS to simulate the rutting depths through the existing Burgers model and the quadratic modified model and compare with the measured values of the multitemperature and load rutting tests and triaxial repeated load tests. The real tests were conducted on four asphalt mixtures, including SK-90 asphalt mixture, styrene-butadiene-styrene (SBS) modified asphalt mixture, direct coal liquefaction residue (DCLR) modified asphalt mixture, and compound DCLR modified asphalt mixture. The results showed that the range of error ratio and residual sum of squares between simulated and measured rutting depth based on the two different models are 5–35%/5.0–8.74% and 3–15%/0.9–3.1%, respectively, which show that the quadratic modified Burgers rheological model has a more accurate prediction.
- Is Part Of:
- Advances in civil engineering. Volume 2021(2021)
- Journal:
- Advances in civil engineering
- Issue:
- Volume 2021(2021)
- Issue Display:
- Volume 2021, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 2021
- Issue:
- 2021
- Issue Sort Value:
- 2021-2021-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-06-25
- Subjects:
- Civil engineering -- Periodicals
Civil engineering
Periodicals
624 - Journal URLs:
- http://bibpurl.oclc.org/web/50276 ↗
http://rzblx1.uni-regensburg.de/ezeit/warpto.phtml?colors=7&jour_id=109850 ↗
https://www.hindawi.com/journals/ace/ ↗ - DOI:
- 10.1155/2021/5238680 ↗
- Languages:
- English
- ISSNs:
- 1687-8086
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 17477.xml