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Prediction Model of VCA Formed by the Packing of Hybrid Lithological Coarse Aggregates Used in SMA.
Jiang, Weiliang; Liu, Long; Cao, Weidong; Yang, Shanglei; Liu, Shutang; Li, Jingchen.
Affiliation
  • Jiang W; Shandong Hi-Speed Infrastructure Construction Co., Ltd., Jinan 250001, China.
  • Liu L; Shandong Hi-Speed Infrastructure Construction Co., Ltd., Jinan 250001, China.
  • Cao W; School of Qilu Transportation, Shandong University, Jinan 250002, China.
  • Yang S; Shandong Hi-Speed Zilin Expressway Co., Ltd., Zibo 255100, China.
  • Liu S; School of Qilu Transportation, Shandong University, Jinan 250002, China.
  • Li J; School of Qilu Transportation, Shandong University, Jinan 250002, China.
Materials (Basel) ; 15(24)2022 Dec 14.
Article in En | MEDLINE | ID: mdl-36556759
The voids in coarse aggregate (VCA) is an important volumetric index in the mineral aggregate gradation design of stone matrix asphalt (SMA) mixtures. To explore the law of variation for VCA formed by the packing of basalt and lime coarse aggregates, a uniform design method and vibrating compaction tests were used to establish the prediction model. Based on the test results and stepwise regression analysis, a reliable prediction model of VCA was obtained. There is a multiple nonlinear relationship between the VCA and the proportion of each coarse aggregate in the mixture. Regardless of the type of coarse aggregates used, the rule of VCA with different forms of aggregate gradation curves has universal significance. This conclusion can help to determine the aggregate gradation in the design of SMA mixtures.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Materials (Basel) Year: 2022 Document type: Article Affiliation country: China Country of publication: Switzerland

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Materials (Basel) Year: 2022 Document type: Article Affiliation country: China Country of publication: Switzerland