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首页> 外文期刊>Journal of Biomechanics >A simplified approach to quasi-linear viscoelastic modeling.
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A simplified approach to quasi-linear viscoelastic modeling.

机译:准线性粘弹性建模的简化方法。

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摘要

The fitting of quasi-linear viscoelastic (QLV) constitutive models to material data often involves somewhat cumbersome numerical convolution. A new approach to treating quasi-linearity in 1-D is described and applied to characterize the behavior of reconstituted collagen. This approach is based on a new principle for including nonlinearity and requires considerably less computation than other comparable models for both model calibration and response prediction, especially for smoothly applied stretching. Additionally, the approach allows relaxation to adapt with the strain history. The modeling approach is demonstrated through tests on pure reconstituted collagen. Sequences of "ramp-and-hold" stretching tests were applied to rectangular collagen specimens. The relaxation force data from the "hold" was used to calibrate a new "adaptive QLV model" and several models from literature, and the force data from the "ramp" was used to check the accuracy of model predictions. Additionally, the ability of the models to predict the force response on a reloading of the specimen was assessed. The "adaptive QLV model" based on this new approach predicts collagen behavior comparably to or better than existing models, with much less computation.
机译:准线性粘弹性(QLV)本构模型对材料数据的拟合通常涉及一些繁琐的数值卷积。描述了一种处理一维准线性的新方法,并将其应用于表征重构胶原蛋白的行为。这种方法基于包括非线性在内的新原理,并且与其他同类模型相比,无论是模型校准还是响应预测(尤其是平滑应用的拉伸),其计算量都大大少于其他同类模型。另外,该方法允许松弛以适应应变历史。通过对纯重构胶原蛋白的测试证明了该建模方法。对矩形胶原蛋白标本进行“倾斜并保持”拉伸测试的序列。来自“保持点”的松弛力数据用于校准新的“自适应QLV模型”和文献中的几种模型,而来自“斜坡”的力数据则用于检验模型预测的准确性。另外,评估了模型预测样品重新加载时的力响应的能力。基于这种新方法的“自适应QLV模型”可以预测胶原蛋白的行为与现有模型相当或更好,而计算量则更少。

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