关节软骨不同层区的率相关性能研究

发布时间：2018-12-17 14:05

【摘要】：目的采用不同加载速率对关节软骨进行非围限压缩试验,探究其不同层区的率相关性能。方法采用新鲜猪关节软骨作为研究对象,结合非接触式数字图像相关技术,测试不同加载率下软骨不同层区的力学性能。结果在恒定加载率作用下,取相同压缩应力时,软骨浅表层的压缩应变最大,深层区压缩应变最小,中间层压缩应变鉴于表层与深层之间;沿软骨厚度方向,从浅表层到深层,软骨的泊松比逐渐增大;不同加载率作用下,软骨的压缩应力-应变曲线不重合,说明关节软骨的压缩力学性能具有率相关性;随着加载速率的增大,软骨的弹性模量呈增大的趋势;取相同压缩应力时,加载率越大,不同层区的压缩应变都减小。结论关节软骨沿厚度方向,从浅表层到深层的压缩应变逐渐减小,泊松比逐渐增大,软骨不同层区的力学性能具有率相关性。实验研究可为临床软骨疾病预防、治疗提供理论依据,同时对人工软骨力学评价具有重要意义。
[Abstract]:Objective to investigate the rate-dependent properties of articular cartilage under different loading rates. Methods using fresh porcine articular cartilage as research object, the mechanical properties of different layers of cartilage under different loading rates were measured with non-contact digital image correlation technique. Results under the constant loading rate, the compressive strain of the shallow layer of cartilage was the largest, and the compression strain of the deep layer was the least when the same compressive stress was taken. The compression strain of the intermediate layer was between the surface and the deep layer. Along the direction of cartilage thickness, the Poisson's ratio of cartilage increases gradually from shallow surface to deep layer, the compression stress-strain curve of articular cartilage does not coincide under different loading rates, which indicates that the compressive mechanical properties of articular cartilage are rate-dependent. The elastic modulus of cartilage increases with the increase of loading rate, and the compression strain of different layers decreases with the increase of loading rate. Conclusion the compressive strain and Poisson's ratio of articular cartilage decrease gradually from shallow surface to deep layer along the thickness direction, and the mechanical properties of different layers of cartilage have a rate-dependent relationship. The experimental study can provide theoretical basis for the prevention and treatment of clinical cartilage diseases, and it is of great significance for the evaluation of artificial cartilage mechanics.
【作者单位】：天津理工大学机械工程学院天津市复杂系统控制理论及应用重点实验室;
【基金】：国家自然科学基金资助项目(31000422,10872147,11172208)
【分类号】：R318.01

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