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Bone Remodeling Algorithm Incorporating Various Quantities as Mechanical Stimulus and Assuming Initial Microcrack in Bone

机译:骨重塑算法掺入各种量作为机械刺激,并在骨中假设初始微裂纹

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It is widely accepted that bones have the ability to adapt to new biomechanical environment by changing their material properties, geometry and inner architecture. Bones have also an exceptional ability to self-repair, to remove microcracks and to prevent the bone damage caused by the fatigue failure. These abilities are enabled through coupled processes of bone resorption and bone formation, the processes collectively referred to as bone remodeling. Numerous studies have shown that bone remodeling is governed by combination of mechanical stimulus (strains) and its frequency, both sensed by sensor cells (osteocytes). Through mechanotransduction, the stimulus is transmitted to actor cells (osteoclasts, osteoblasts) that actually do the bone resorption or formation. Several theories have been proposed to predict bone remodeling and several finite-element-based algorithms have been introduced. The vast majority of them uses strain energy density as the mechanical stimulus. The purpose of this paper is to investigate and discuss the applicability of also other strain-based representations of the mechanical stimulus in simulations of remodeling of bone with an initial microcrack. The need for developing more reliable models is essential for both clinicians and engineers who are interested, for instance, in prediction of bone performance when various implants are involved.
机译:众所周知,骨骼具有通过改变其材料特性,几何和内部架构来适应新的生物力学环境的能力。骨骼也具有卓越的自我修复能力,去除微裂纹并防止由疲劳失效引起的骨损伤。通过骨吸收和骨形成的耦合过程使得这些能力能够,该过程共同称为骨重塑。许多研究表明,骨重塑是通过机械刺激(菌株)和频率的组合来控制,由传感器电池(骨细胞)感测。通过机械手段,刺激被传递给实际骨吸收或形成的actor细胞(骨壳细胞,成骨细胞)。已经提出了几种理论以预测骨重塑,并引入了几种基于有限元的算法。绝大多数使用应变能密度作为机械刺激。本文的目的是研究和讨论在用初始微裂纹的骨重塑模拟中的机械刺激的适用性。对于开发更可靠的模型的需求对于感兴趣的临床医生和工程师来说至关重要,例如,在涉及各种植入物时预测骨骼性能。

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