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   providing a prediction model for stress intensity factor of fiber- reinforced asphalt mixtures under pure mode iii loading using the edge notched disc beam (endb)  
   
نویسنده motamedi hamed ,amiri hamid reza ,fazaeli hassan ,mohammad aliha mohammad reza
منبع civil engineering infrastructures journal - 2021 - دوره : 54 - شماره : 1 - صفحه:43 -58
چکیده    The use of edge notched disc beam (endb) sample has been proposed as a suitable geometry in performing fracture tests in different loading modes. the most important features of the endb samples include easy making, quick and easy sampling, simple testing, and the ability to examine a wide range of pure and combined loading modes. using a wide range of fracture tests, a statistical model is proposed to predict the stress intensity factors of asphalt mixtures in terms of the pure torsion mode (mode iii) loading in this study. to this end, the experiments were carried out at different temperature conditions (-5, -15 and -25 °c), different loading conditions (0.5, 1 and 5 mm/min), and on control and modified asphalt mixtures with different percentages of polyolefin-aramid fibers. the results showed that, with increasing the fiber content and loading rate, the fracture strength increased with average 25%, while an increase in fracture toughness due to lower temperature had an effect of less than 5%. using the response surface method (rsm), the prediction model of stress intensity coefficients of asphalt mixtures was presented in the pure torsion mode. the results of the proposed models had a good correlation with the results of the conducted fracture tests.
کلیدواژه edge notched disc beam specimen ,fiber reinforced asphalt mixture ,fracture toughness ,mode iii loading ,response surface method
آدرس islamic azad university, yazd branch, department of civil engineering, iran, islamic azad university, yazd branch, department of civil engineering, iran, islamic azad university-tehran north branch, iran, iran university of science and technology (iust), welding and joining research center, school of industrial engineering, iran
پست الکترونیکی mrm_aliha@iust.ac.ir
 
     
   
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