Mix design of asphalt plug joint based on response surface method and grey relational analysis

ABSTRACTTo improve the durability of asphalt plug joints (APJs), the principle of central composite design was adopted to design a three-factor and three-level Marshall test scheme for mixtures. Using grey relational analysis, the multi-objective optimisation problem was transformed into a single-objective optimisation problem. The influence weights of the void content (VV), stability (MS), and flow value (FL) on the grey relational grade (GRG) were determined using principal component analysis. A second-order prediction model for the GRG and influence factors was established via a regression analysis. The response surface method was used to analyze the influence law of each influence factor on the VV, MS, FL, and GRG to determine the optimal dosage combination. The mixture produced using the optimal combination design was subjected to a beam bending test, an indirect tensile fatigue test, and a rutting test. The test results indicated that the maximum bending strain and cumulative permanent strain of the APJ were 210,110.3 and 13,428, respectively. The comparison of a commonly used seamless mixture with the APJ mixture revealed that the APJ mixture exhibited a better high-temperature rutting resistance, indicating the suitability of the APJ mixture for small deformations of bridge seamless expansion joints.

• Record URL:
  • https://doi.org/10.1080/10298436.2022.2032699
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/44544515
• Supplemental Notes:
  • © 2022 Informa UK Limited, trading as Taylor & Francis Group 2022. Abstract reprinted with permission of Taylor & Francis.
• Authors:
  • Lu, Pengzhen
  • Huang, Simin
  • Shen, Yang
  • Wu, Ying
  • Li, Dengguo
• Publication Date: 2023

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: 2032699
• Serial:
  • International Journal of Pavement Engineering
  • Volume: 24
  • Issue Number: 2
  • Publisher: Taylor & Francis
  • ISSN: 1029-8436
  • Serial URL: http://www.tandf.co.uk/journals/titles/10298436.html

Subject/Index Terms

• TRT Terms: Asphalt; Expansion joints; Mix design; Predictive models; Regression analysis
• Identifier Terms: Principal Component Analysis
• Subject Areas: Bridges and other structures; Highways; Materials; Pavements;

Filing Info

• Accession Number: 01917067
• Record Type: Publication
• Files: TRIS
• Created Date: Apr 29 2024 6:31PM