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   post-fatigue life prediction of glare subjected to low-velocity impact  
   
نویسنده sedaghat a. ,alitavoli m. ,darvizeh a. ,ansari khalkhali r.
منبع scientia iranica - 2021 - دوره : 28 - شماره : 1-B - صفحه:305 -315
چکیده    This study first modeled the dynamic of progressive failure of glass-fiber-reinforced aluminum laminates (glare) under low energy impact using intra laminar damage models based on strain-based damage evolution laws, puck failure criteria, and abaqus-vumat. for delamination of interface and aluminum layers, the bilinear cohesive model and the johnson-cook model were employed, respectively. the fatigue life of the fiber metal laminates of glare subjected to impact was obtained and the numerical and experimental results of the model were compared with each other. by considering the very good match between the numerical and experimental results, the results of the nite element model were generalized and expanded and following the use of the multi-layer neural network, the numerical model was extracted. then, by applying the meta-innovative algorithm, the maximum fatigue life of glare was determined at the highest level with very low-velocity impact; the best configuration of three-layer glare was selected. the findings indicated that the best configuration of hybrid composite glare based on conventional commercial laminates that could tolerate low-velocity impacts with 18j impact energy and a 349 mpa fatigue load with a frequency of 10 hz was [al/0-90-90- 0/al/0-90-0/al/0-90-90-0/al] with a cycle life time of 13016.
کلیدواژه glare ,fatigue life ,multilayer neural network ,genetic algorithm
آدرس university of guilan, faculty of mechanical engineering, iran, university of guilan, faculty of mechanical engineering, iran, university of guilan, faculty of mechanical engineering, iran, university of guilan, faculty of mechanical engineering, iran
پست الکترونیکی r_ansari@guilan.ac.ir
 
     
   
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