Presented study is aimed at designing a model for bending length based on the concentrated loading method using 10 parameters extracted from the modified tensile test. After that, a new database has been reproduced by using principal component analysis and the modeling is conducted by regression and artificial neural network (ANN) based on the trial and error method. The obtained R-squared of 0.97 between ANN outputs and corresponding real bending lengths proves that the proposed method has a great potential for evaluating the mechanical properties of fabrics.

中文翻译：

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基于集中载荷法的弯曲长度建模

本研究旨在基于集中载荷法，使用从修改的拉伸试验中提取的10个参数，设计弯曲长度模型。之后，使用主成分分析法重现了一个新的数据库，并基于试错法，通过回归和人工神经网络（ANN）进行了建模。在人工神经网络输出和相应的实际弯曲长度之间获得的R平方为0.97证明，该方法具有评估织物力学性能的巨大潜力。