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BULLETIN OF THE CHINESE CERAMIC SOCIETY ›› 2026, Vol. 45 ›› Issue (7): 2561-2572.DOI: 10.16552/j.cnki.issn1001-1625.2025.1285

• Road Materials • Previous Articles     Next Articles

Mechanical Properties Analysis and Optimal Mix Proportion Prediction of Cement-Stabilized Crushed Stone with Recycled Aggregate

SHEN Yanli1,2(), WEI Guanchao1, WANG Peng1(), WANG Jiawei1, XU Lei3, WANG Hui3, WANG Zhiling3, WEI Aikui3   

  1. 1.School of Civil Engineering,Hebei University of Engineering,Handan 056038,China
    2.Hebei Province Prefabricated Structure Technology Innovation Center,Handan 056038,China
    3.Hebei Guangtai Road and Bridge Engineering Group Co.,Ltd.,Handan 056000,China
  • Received:2025-12-23 Revised:2026-02-11 Online:2026-07-15 Published:2026-08-13
  • Contact: WANG Peng

Abstract:

To achieve the resource recycling of waste road concrete recycled aggregate in road base courses, this study combined experimental analysis and artificial intelligence methods were employed to investigate the effects of different cement content (3.50%, 4.50%, 5.50%, mass fraction) and recycled aggregate incorporation rates (4.15%, 56.20%, 78.10%, 100.00%, mass fraction) on the maximum dry density, optimum moisture content, unconfined compressive strength, compressive resilient modulus, and splitting strength of cement-stabilized crushed stone containing recycled aggregates from waste road concrete. Based on machine learning and the genetic algorithm (GA), prediction models for the 7 and 90 d unconfined compressive strength and a gradation optimization model for recycled aggregate cement-stabilized crushed stone were established. The results indicate that higher cement content improves the mechanical properties of recycled aggregate cement-stabilized crushed stone. Increasing the recycled aggregate content reduces the maximum dry density and raises the optimum moisture content. An appropriate amount of recycled aggregate can enhance the 7 and 90 d unconfined compressive strength as well as the 90 d splitting strength, whereas the compressive resilient modulus gradually decreases with increasing recycled aggregate content. When the recycled aggregate content is 78.10% and the cement content is 5.50%, the representative values of 7 and 90 d unconfined compressive strength are 4.24 and 7.07 MPa, respectively, and the average values of 90 d splitting strength and compressive resilient modulus are 0.64 and 1 925 MPa, all of which meet the relevant specification requirements. Based on the analysis of the mechanical properties of recycled aggregate cement-stabilized crushed stone, a random forest model combined with the genetic algorithm (GA) is selected for gradation optimization, yielding a predicted 7 d unconfined compressive strength of 5.82 MPa for the optimal mixture proportion.

Key words: recycled aggregate, cement-stabilized crushed stone, mechanical property, machine learning, random forest, genetic algorithm

CLC Number: