A novel method to specify pattern recognition of actuators for stress reduction based on Particle swarm optimization method
JJ Fesharaki, S Golabi - Smart structures and systems, 2016 - dbpia.co.kr
Smart structures and systems, 2016•dbpia.co.kr
This paper is focused on stiffness ratio effect and a new method to specify the best pattern of
piezoelectric patches placement around a hole in a plate under tension to reduce the stress
concentration factor. To investigate the stiffness ratio effect, some different values greater
and less than unity are considered. Then a python code is developed by using particle
swarm optimization algorithm to specify the best locations of piezoelectric actuators around
the hole for each stiffness ratio. The results show that, there is a line called
piezoelectric patches placement around a hole in a plate under tension to reduce the stress
concentration factor. To investigate the stiffness ratio effect, some different values greater
and less than unity are considered. Then a python code is developed by using particle
swarm optimization algorithm to specify the best locations of piezoelectric actuators around
the hole for each stiffness ratio. The results show that, there is a line called
This paper is focused on stiffness ratio effect and a new method to specify the best pattern of piezoelectric patches placement around a hole in a plate under tension to reduce the stress concentration factor. To investigate the stiffness ratio effect, some different values greater and less than unity are considered. Then a python code is developed by using particle swarm optimization algorithm to specify the best locations of piezoelectric actuators around the hole for each stiffness ratio. The results show that, there is a line called
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