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<p>Cement kiln dust (CKD), Limestone (LS) and ordinary Portland cement (OPC) are utilized in the building sector. OPC provides structural strength, CKD is frequently utilised as a supplementary material or stability agent, and LS is a main raw ingredient for OPC manufacture. This study proposes an Ant Lion-based Mix Selection (ALbMS) approach for optimising Cold Mix Asphalt (CMA) compositions by incorporating OPC, CKD, and LS as fillers. The ALbMS method leverages the ideal mix proportions to get the ideal mix proportions, use the ALO algorithm, enhancing the mechanical properties of CMA, including stability, rut resistance, water sensitivity, and tensile strength. Various experimental analyses, such as water sensitivity, ITSM, rut depth and Marshall Stability, were conducted on different mix compositions. Results indicate that incorporating 4% OPC, CKD, and LS significantly improves the stiffness modulus, strength, and durability of CMA while reducing rut depth and moisture susceptibility. The optimized mix achieved a maximum tensile strength of 1.2 N/mm<sup>2</sup>, a stability of 1200&#xa0;kg, and a water sensitivity of 98.17%, demonstrating superior resistance to environmental and load-induced stresses. Comparative analysis with traditional CMA and other modified mixes highlights the effectiveness of ALbMS in enhancing the performance and sustainability of CMA, making it a viable alternative for durable pavement construction.</p>

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An ideal cold mix asphalt for road pavement

  • 期刊论文

  • 发表日期：

    2025年7月9日

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  • Pinki Meena,
  • G. D. Ransinchung R.N.,
  • Praveen Kumar

摘要

Cement kiln dust (CKD), Limestone (LS) and ordinary Portland cement (OPC) are utilized in the building sector. OPC provides structural strength, CKD is frequently utilised as a supplementary material or stability agent, and LS is a main raw ingredient for OPC manufacture. This study proposes an Ant Lion-based Mix Selection (ALbMS) approach for optimising Cold Mix Asphalt (CMA) compositions by incorporating OPC, CKD, and LS as fillers. The ALbMS method leverages the ideal mix proportions to get the ideal mix proportions, use the ALO algorithm, enhancing the mechanical properties of CMA, including stability, rut resistance, water sensitivity, and tensile strength. Various experimental analyses, such as water sensitivity, ITSM, rut depth and Marshall Stability, were conducted on different mix compositions. Results indicate that incorporating 4% OPC, CKD, and LS significantly improves the stiffness modulus, strength, and durability of CMA while reducing rut depth and moisture susceptibility. The optimized mix achieved a maximum tensile strength of 1.2 N/mm2, a stability of 1200 kg, and a water sensitivity of 98.17%, demonstrating superior resistance to environmental and load-induced stresses. Comparative analysis with traditional CMA and other modified mixes highlights the effectiveness of ALbMS in enhancing the performance and sustainability of CMA, making it a viable alternative for durable pavement construction.