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    Thermomechanical Constitutive Modeling and Numerical Implementation of Porous Shape Memory Alloys Considering Irrecoverable Strain

    , Ph.D. Dissertation Sharif University of Technology Ashrafi, Mohammad Javad (Author) ; Naghdabadi, Reza (Supervisor) ; Sohrabpour, Saeed (Supervisor) ; Arghavani, Jamal (Co-Advisor)
    Abstract
    Porous shape memory alloys (SMAs) were fabricated by many researchers in the last decade and have been initially utilized as bone implants. Also, due to hysteresis in superelastic behavior, and the porous structure, porous SMAs can be used in energy absorbing applications. Such applications call for efficient constitutive modeling of porous SMAs. Moreover, porous SMAs with a wide range of porosity ratios and mechanical properties have been produced in the recent years; therefore, it is necessary to improve the available models and carefully study porous SMA behavior. Different approaches have been utilized for modeling porous SMA behavior. Most of the researchers used homogenization approach... 

    Optimization of Porosity Distribution in Functionally Graded Porous Shape Memory Alloy Beams Using Genethic Algorithm

    , M.Sc. Thesis Sharif University of Technology Jamshidi, Mohammad Amin (Author) ; Arghavani Hadi, Jamal (Supervisor)
    Abstract
    Shape Memory alloys are a kind of intelligent materials developed in recent years due to their comprehensive use in medical, robotics, and other advanced sciences. Two main characteristics of them are shape memory effect and superelasticity put these materials in the category of advanced materials. Recently, the new branch of them attracted many studies which is the porous shape memory alloys. The importance of this class of material is related to their properties such as bio-compatibility, superelasticity and shape memory effect. Since shape memory alloys are usually expensive, a new field is developed known as functionally graded porosity distribution. This method is performed by...