Analytical Solution to Bending of Shape Memory Polymer Beams, M.Sc. Thesis Sharif University of Technology ; Naghdabadi, Reza (Supervisor) ; Baghani, Mostafa (Co-Advisor)
Abstract
Shape Memory Polymers (SMPs) are a class of smart materials capable of remembering multiple shapes, and transitioning between them in response to an external stimulus such as thermal or magnetic induction. SMPs have attracted significant attention of both industrial and academic researchers due to their useful and attractive functionality. This thesis aims to analytically develop Euler-Bernoulli, Timoshenko and von Karman theories for beam bending in small strain regime considering SMP constitutive equations. To properly introduce analytical solution for the problem of beam bending, the constitutive model proposed by Baghani et al. (2012) has been used. For this purpose, three dimensional...
Cataloging briefAnalytical Solution to Bending of Shape Memory Polymer Beams, M.Sc. Thesis Sharif University of Technology ; Naghdabadi, Reza (Supervisor) ; Baghani, Mostafa (Co-Advisor)
Abstract
Shape Memory Polymers (SMPs) are a class of smart materials capable of remembering multiple shapes, and transitioning between them in response to an external stimulus such as thermal or magnetic induction. SMPs have attracted significant attention of both industrial and academic researchers due to their useful and attractive functionality. This thesis aims to analytically develop Euler-Bernoulli, Timoshenko and von Karman theories for beam bending in small strain regime considering SMP constitutive equations. To properly introduce analytical solution for the problem of beam bending, the constitutive model proposed by Baghani et al. (2012) has been used. For this purpose, three dimensional...
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