Singh Sandeep, Khairandish Mohammad Iqbal, Razahi Mustafa Musleh, Kumar Raman, Chohan Jasgurpreet Singh, Tiwary Aditya, Sharma Shubham, Li Changhe, Ilyas R A, Asyraf M R M, Zakaria S Z S
Department of Civil Engineering, Chandigarh University, Mohali 140413, India.
University Centre of Research and Development, Department of Mechanical Engineering, Chandigarh University, Mohali 140413, India.
Materials (Basel). 2022 Apr 7;15(8):2729. doi: 10.3390/ma15082729.
The present study investigates the preference index of natural fibers such as sisal, coir, and rice straw fibers in stone matrix asphalt mixtures (SMA), using waste marble as filler. Waste marble was used as the filler in asphalt mixtures and was crushed by abrasion machine and sieved according to SMA filler requirements. The SEM topography and EDS analysis of sisal, coir, and rice straw fibers were also carried out. The Marshall test was conducted, which is the most acceptable, cost-effective, and widely adopted method to estimate the optimum bitumen and to examine several Marshall Measures, such as flow value, voids filled with bitumen (VFB), stability, voids in mineral aggregate (VMA), and air voids (VA). Furthermore, tests were performed on the specimen with the optimum amount of bitumen, different percentages of fibers, and waste marble as filler to calculate drain down, moister sensitivity, and Marshall Stability. Multi-criteria decision-making (MCDM) techniques were implemented to obtain subjective and objective weights, which were further used to compute the values of the preference index of natural fiber contents. The outcomes revealed favorable results for the usage of marble dust as filler in Stone Matrix Asphalt (SMA). In addition, the preference index upshots are inclined toward the usage of rice straw over coir followed by sisal fiber. It was observed that the value of the preference index in rice straw at 0.3 varied from 0.918, 0.925, and 0.931 in rice straw using equal, objective, and subjective weights, respectively. The maximum drain down value observed is 0.335 based on ASTM-D 6390 and IRC-SP-79 are against 0.3 percent natural fiber. Moreover, as per the prescribed limit of MoRTH, because of the thin film around aggregates, moisture susceptibility characteristics, i.e., better resistance to moisture, were enhanced by more than 80%.
本研究使用废大理石作为填料，调查了剑麻、椰壳纤维和稻草纤维等天然纤维在沥青马蹄脂碎石混合料（SMA）中的偏好指数。废大理石被用作沥青混合料中的填料，并通过研磨机破碎，然后根据SMA填料要求进行筛分。还对剑麻、椰壳纤维和稻草纤维进行了扫描电子显微镜（SEM）形貌和能谱分析（EDS）。进行了马歇尔试验，这是评估最佳沥青用量并检验多个马歇尔参数（如流值、沥青填隙率（VFB）、稳定度、矿料间隙率（VMA）和空隙率（VA））的最可接受、最具成本效益且应用最广泛的方法。此外，对含有最佳沥青用量、不同纤维百分比以及废大理石作为填料的试件进行了试验，以计算析漏、湿度敏感性和马歇尔稳定度。采用多准则决策（MCDM）技术来获得主观和客观权重，这些权重进一步用于计算天然纤维含量的偏好指数值。结果表明，在沥青马蹄脂碎石（SMA）中使用大理石粉作为填料有良好效果。此外，偏好指数结果倾向于使用稻草纤维而非椰壳纤维，其次是剑麻纤维。观察到，在稻草纤维含量为0.3时，使用相等权重、客观权重和主观权重时，偏好指数值分别为0.918、0.925和0.931。根据美国材料与试验协会标准ASTM - D 6390和印度公路大会规范IRC - SP - 79，针对0.3%天然纤维观察到的最大析漏值为0.335。此外，根据印度公路运输和公路部（MoRTH）规定的限值，由于集料周围的薄膜，湿度敏感性特性（即更好的抗湿性）提高了80%以上。
