This paper presents a systemic calibration methodology to efficiently simulate progressive damage evolution in four different pultruded glass fiber reinforced polymer (GFRP) composites using the strain-based COMposite DAMage Model (CODAM2) in the commercial finite element software LS-DYNA. In particular, Compact Tension (CT), scaled-up CT, and wide CT tests are simulated to find the best set of input parameters by considering four distinct indicators obtained from experimental and numerical load vs displacement data. By combining these indicators into a physically meaningful equivalent deviation value via a linear weighted-sum method, the results show that the most suited input damage variables yield physically accurate crack length predictions which underlines the robustness and accuracy of the proposed method. Furthermore, it is shown that the incorporation of bi-linear softening laws improves CODAM2 simulation results by up to 90%, however it also increases the number of parameters to be calibrated.

本文介绍了一种系统校准方法，可使用商用有限元软件 LS-DYNA 中基于应变的复合损伤模型 (CODAM2) 有效模拟四种不同拉挤玻璃纤维增​​强聚合物 (GFRP) 复合材料的渐进损伤演变。特别是，通过考虑从实验和数值载荷与位移数据中获得的四个不同指标，模拟紧凑张力 (CT)、放大 CT 和宽 CT 测试以找到最佳输入参数集。通过线性加权和方法将这些指标组合成物理上有意义的等效偏差值，结果表明，最合适的输入损伤变量产生物理上准确的裂纹长度预测，这强调了所提出方法的稳健性和准确性。此外，