Patient-Specific Biomechanical Modeling of Bone Strength Using Statistically-Derived Fabric Tensors

investigation of thermal comfort properties of woven sport fabric using blend of estabragh fibers

امروزه لباس در نظر ورزشکاران و کسانی که برای اوقات فراغت خود و یا برای رسیدن به اندامی متعادل، ورزش می کنند؛ بسیار با اهمیت است. احساس مطلوب از لباس در زمره خصوصیات راحتی پوشش می باشد. خصوصیات انتقال رطوبت لباس، در ارزیابی راحتی حسی و حرارتی منسوجات تولید شده از آن ها بسیار مهم است. هدف از این تحقیق، معرفی پارچه جدید است که متشکل از الیاف استبرق با خواص منحصر به فرد می باشد. استبرق لیف طبیعی تو...

Strength analysis of seamless double layered fabric using FEM

Techniques for Computing Fabric Tensors: A Review

The aim of this chapter is to review different approaches that have been proposed to compute fabric tensors with emphasis on trabecular bone research. Fabric tensors aim at modeling through tensors both anisotropy and orientation of a material with respect to another one. Fabric tensors are widely used in fields such as trabecular bone research, mechanics of materials and geology. These tensors...

Patient-Specific iPSC-Derived RPE for Modeling of Retinal Diseases

Inherited retinal diseases, such as age-related macular degeneration and retinitis pigmentosa, are the leading cause of blindness in the developed world. Currently, treatments for these conditions are limited. Recently, considerable attention has been given to the possibility of using patient-specific induced pluripotent stem cells (iPSCs) as a treatment for these conditions. iPSCs reprogrammed...

Prediction of apparent trabecular bone stiffness through fourth-order fabric tensors.

The apparent stiffness tensor is an important mechanical parameter for characterizing trabecular bone. Previous studies have modeled this parameter as a function of mechanical properties of the tissue, bone density, and a second-order fabric tensor, which encodes both anisotropy and orientation of trabecular bone. Although these models yield strong correlations between observed and predicted st...