Many chemical and biological systems have applications involving fluid–structure interaction (FSI) of flexible filaments in viscous fluid. The dynamics of single- and multiple-filament interaction are of interest to engineers and biologists working in the area of DNA fragmentation, protein synthesis, polymer segmentation, folding–unfolding analysis of natural and synthetic fibers, etc. To perform numerical simulation of the above-mentioned FSI applications is challenging. In this direction, methods like the immersed boundary method (IBM) have been quite successful. We simulate the dynamics of multiple flexible filaments subjected to planar shear flow at low Reynolds number using the finite volume method-based IBM. The governing continuity and Navier–Stokes equations are solved by the SIMPLE algorithm on a staggered Cartesian grid system. The validation of the developed model is done using previous works. The length of the filament, its bending rigidity and fluid shear rate are t...

中文翻译：

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浸入边界法和人工神经网络技术在粘性剪切流中多股柔性长丝的数值模拟和预测模型开发

许多化学和生物系统的应用都涉及粘性流体中柔性细丝的流固耦合（FSI）。单丝和多丝相互作用的动力学是从事DNA片段化，蛋白质合成，聚合物片段化，天然和合成纤维折叠-展开分析等领域的工程师和生物学家感兴趣的。提到的FSI应用具有挑战性。在这个方向上，像浸没边界法（IBM）这样的方法已经非常成功。我们使用基于有限体积方法的IBM模拟在低雷诺数下经受平面剪切流动的多根柔性长丝的动力学。控制连续性和Navier-Stokes方程由SIMPLE算法在交错的笛卡尔网格系统上求解。已开发模型的验证是使用以前的工作完成的。细丝的长度，抗弯刚度和流体剪切速率均...