The effect of addition plastic waste on mechanical and thermal properties of asphalt using artificial neural network

The damage condition of paved roads in Indonesia will increase as the number vehicles passing and erratic weather conditions. One way to reduce road is quality asphalt mixture. To can be done by adding additional materials such plastic waste into In this study, simulated use neural networks determine optimal value analysis influence polypropylene polyethylene terephthalate mechanical thermal properties asphalt. Based on design ANN, obtained output accuracy 81% for PP 91% PET. results test simulation, addition PET penetration softening point that affects resistance temperature changes, well stability maximum load acceptable best composition AC-WC modification has been specifications Bina Marga 1% 5.6% optimum content, while 5.95% 6% content.