粘性-超弹性材料模型适应实验应力-应变曲线使用遗传算法,并将其应用于软组织模拟剂
Samuel Gómez-Garraza1, Raúl de Santos1, Diego Infante-García2
1Mechanical Engineering Department, Universidad Carlos III de Madrid, Avda. de la Universidad 30, 28911, Leganés, Madrid, Spain.
Scientific reports
|August 4, 2024
概括
这项研究使用遗传算法对软组织模拟剂的粘性-超弹性模型进行校准. 开发的方法准确地确定了材料参数,以改善弹道撞击的生物力学模拟.
科学领域:
- 生物力学 生物力学
- 材料科学 材料科学 材料科学
- 计算机建模 计算建模
背景情况:
- 弹道弹道对人胸部的非穿透性冲击可能会导致严重伤害或死亡.
- 精确的软组织有限元素模型需要捕捉非线性弹性和应变率依赖性,以估计动态反应.
研究的目的:
- 为了校准软组织仿真剂的粘性-超弹性材料模型.
- 通过使用遗传算法,通过拟合实验应力-应变数据来确定材料模型参数.
主要方法:
- 利用遗传算法来适应从文献中获得的实验压力-应变数据.
- 进行参数分析以优化遗传算法的融合和准确性.
- 将校准算法应用于弹道凝和 styrene-ethylene-butylene-styrene模拟剂.
主要成果:
- 遗传算法准确计算了粘性-超弹性构成方程的常数.
- 半自由策略证明了高精度和减少合成应力-应变曲线的计算时间.
- 半自由放松时间策略产生了更准确的结果和更短的收时间.
结论:
- 开发的算法有效地从各种应变速率的应力-应变数据中校准粘性-超弹性参数.
- 了解构成模型和应力-应变曲线的复杂性对于方法的准确性至关重要.
- 提供的代码是研究人员校准粘性-超弹性参数的宝贵工具.
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