7 research outputs found
Evaluation of the durability and the performance of an asphalt mix involving Aramid Pulp Fiber (APF): Complex modulus before and after freeze-thaw cycles, fatigue, and TSRST tests
Effect of fiber length and surface treatment on the performance of fiber-modified binder
An experimental laboratory study of fiber-reinforced asphalt mortars with polyolefin-aramid and polyacrylonitrile fibers
Promising results have been found in the literature through use of synthetic fibers in hot mix asphalt. However, few research works have focused on studying the effect of these fibers at asphalt mortar scale. In this research, the reinforcing effect of polyolefin-aramid (POA) fibers and polyacrylonitrile (PAN) fibers is investigated in asphalt mortars through indirect tensile testing. Fiber-Reinforced Asphalt Mortar (FRAM) specimens were prepared with different fiber contents (0.1 wt%, 0.2 wt% and 0.3 wt%) and tested at three temperatures (15 °C, 0 °C, ?15 °C). Indirect tensile strength, fracture energy, post-cracking energy and toughness were the parameters obtained and analyzed from the test in order to understand the behavior of the different FRAM designs. Moreover, the failure types obtained were also analyzed. According to the experimental results, a significant improvement of strength at low temperature (?15 °C) was observed when adding 0.3% of POA or PAN fibers. Furthermore, the fracture energy properties were enhanced due to the addition of fibers.This work has received funding from the CEDR Transnational Road Research Program - call 2017 427 under the contract N. 867481, “Fostering the implementation of fiber-reinforced asphalt mixtures 428 by ensuring its safe, optimized and cost-efficient use (FIBRA)”. Scientific support from the 429 consortium partners University of Cantabria (Spain), Technical University of Braunschweig 430 (Germany), BAM (Netherlands) SINTEF and Veidekke (Norway) is gratefully acknowledged. 43
Prediction and pareto-based multi-objective optimization of moisture and fatigue damages of asphalt mixtures modified with nano hydrated lime
Predicting rutting performance of carbon nano tube (CNT) asphalt binders using regression models and neural networks
Long-term performance deterioration models for semi-rigid asphalt pavement in cold region
As the demand for the semi-rigid asphalt pavement reconstruction and maintenance technologies is increasing in the seasonal cold regions, the pavement performance deterioration models are essential for the success of the reconstruction and maintenance projects. This study is carried out to develop the deterioration models based on the preliminary investigation results of typical successful maintenances. All critical technical indexes concerning the asphalt pavement maintenance were studied. By combining the engineering practices, a long-term performance database of the semi-rigid asphalt pavement was established through a large amount of survey data, and the related environmental parameters. Based on the database achieved, the deterioration models of the semi-rigid asphalt pavement performances were built via the statistical regression method. It is concluded that the proposed deterioration models were useful and practical for the establishment of the maintenance decision of the semi-rigid asphalt pavements