Gupta Lokesh, Kumar Rakesh, Chakrabarti Tulika, Chakrabarti Prasun, Margala Martin
Department of Civil Engineering, Sir Padampat Singhania University, Udaipur, India.
Department of Civil Engineering, S.V. National Institute of Technology, Surat, Gujarat, India.
Sci Rep. 2024 Mar 22;14(1):6924. doi: 10.1038/s41598-024-55853-5.
The presence of water badly affects the moisture susceptibility of the reclaimed asphalt Foamed Bituminous Mix (FBM). The present study is mainly emphasized to assess the moisture susceptibility of reclaimed asphalt FBM, Where RAP is being incorporated as a replacement of fresh aggregates. Moisture susceptibility of the mix is evaluated in terms of tensile strength ratio (TSR) and resilient modulus ratio, subjected to different conditioning procedures namely AASHTO T283, modified IDOT, TG-2 guidelines, and MIST. Further data analytics and regression modeling are also carried out to determine the moisture susceptibility of the mix and to check the statistics among the variables. The findings show that the incorporation of RAP in the FBM improves moisture resistance. Further, FBM containing 100% RAP shows the least moisture susceptibility in terms of TSR and Mr ratio irrespective of any conditioning type. Moreover, MIST conditioning may be preferred to assess the moisture sensitivity as it simulates the field pore pressure effects. Further, mathematical analysis is carried out to predict the moisture susceptibility of mix. Adjusted R square coefficient indicates a better fit of the prediction model developed. Overall, the study may be helpful to highway professionals in analyzing the conditioning procedures and determining the moisture sensitivity of the reclaimed asphalt Foamed Bituminous Mix.
水分的存在严重影响再生泡沫沥青混合料（FBM）的水敏感性。本研究主要着重评估再生泡沫沥青FBM的水敏感性，其中旧料被用作新鲜集料的替代物。混合料的水敏感性通过抗拉强度比（TSR）和回弹模量比进行评估，采用不同的老化程序，即美国州际公路和运输官员协会（AASHTO）T283、改良的伊利诺伊州运输部（IDOT）、TG - 2指南和多阶段间接拉伸试验（MIST）。还进行了进一步的数据分析和回归建模，以确定混合料的水敏感性并检验变量之间的统计关系。研究结果表明，在FBM中加入旧料可提高其抗水性能。此外，无论采用何种老化类型，含100%旧料的FBM在TSR和Mr比方面表现出最低的水敏感性。此外，MIST老化可能更适合用于评估水敏感性，因为它模拟了现场孔隙压力的影响。此外，还进行了数学分析以预测混合料的水敏感性。调整后的决定系数表明所建立的预测模型拟合效果较好。总体而言，该研究可能有助于公路专业人员分析老化程序并确定再生泡沫沥青混合料的水敏感性。
