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Optimal fiber volume fraction prediction of layered composite using frequency constraints- A hybrid FEM approach

机译:利用频率约束的分层复合材料的最佳纤维体积分数预测 - 混合有限元方法

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摘要

In this research, a hybrid mathematical model is derived using the higher-order polynomial kinematic model in association with soft computing technique for the prediction of best fiber volume fractions and the minimal mass of the layered composite structure. The optimal values are predicted further by taking the frequency parameter as the constraint and the projected values utilized for the computation of the eigenvalue and deflections. The optimal mass of the total layered composite and the corresponding optimal volume fractions are evaluated using the particle swarm optimization by constraining the arbitrary frequency value as mass/volume minimization functions. The degree of accuracy of the optimal model has been proven through the comparison study with published well-known research data. Further, the predicted values of volume fractions are incurred for the evaluation of the eigenvalue and the deflection data of the composite structure. To obtain the structural responses i.e. vibrational frequency and the central deflections the proposed higher-order polynomial FE model adopted. Finally, a series of numerical experimentations are carried out using the optimal fibre volume fraction for the prediction of the optimal frequencies and deflections including associated structural parameter.
机译:在该研究中,使用高阶多项式运动模型与软计算技术相关联的杂交数学模型,用于预测最佳纤维体积分数和最小的层状复合结构的最小质量。通过将频率参数作为约束以及用于计算特征值和偏转的预测值来预测最佳值。通过将任意频率值限制为质量/体积最小化功能,使用粒子群优化评估总分层复合材料的最佳质量和相应的最佳体积分数。通过与公布的众所周知的研究数据进行比较研究,已经证明了最佳模型的准确度。此外,对于评估特征值和复合结构的偏转数据,产生预测的体积分数值。为了获得结构响应,即振动频率和中央偏转,所提出的高阶多项式Fe模型采用。最后,使用最佳纤维体积分数来进行一系列数值实验,用于预测包括相关的结构参数的最佳频率和偏转。

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