The uniaxial tensile test is well-established for experimentally identifying the stress–strain relationship for sheet metals. Conventionally, true stress–strain data obtained from the test are used to identify the hardening law's parameters using the curve-fitting method. Extrapolation using the identified hardening law describes the stress–strain relationship at large strains; however, it varies widely, depending on the selection of hardening models and their identified parameters. This study presents a hybrid method incorporating the curve-fitting method and inverse finite element analysis to identify the Kim–Tuan hardening model's parameters over large strain ranges. Here, the curve-fitting method enforces the identified hardening law's accuracy in the pre-necking range. Simultaneously, the inverse finite element analysis method maintains the goodness of the post-necking prediction. The proposed method is used to calibrate hardening laws for DP780 and AA6016-T651 sheet metals subjected to uniaxial tensile tests at room and warm temperatures, respectively. The calibrated hardening laws capture the force–displacement curves of both materials well, validating the ability of the presented method in practice.

单轴拉伸试验是通过实验确定金属板的应力-应变关系的良好方法。传统上，从测试中获得的真实应力-应变数据用于使用曲线拟合方法确定硬化规律的参数。使用确定的硬化定律的外推法描述了大应变下的应力-应变关系；然而，它变化很大，这取决于硬化模型的选择及其确定的参数。本研究提出了一种结合曲线拟合方法和逆有限元分析的混合方法，以在大应变范围内识别 Kim-Tuan 硬化模型的参数。在这里，曲线拟合方法在预缩颈范围内强制执行识别的硬化规律的准确性。同时，逆有限元分析方法保持了颈缩后预测的优良性。所提出的方法用于校准 DP780 和 AA6016-T651 金属板材的硬化规律，分别在室温和温暖温度下进行单轴拉伸试验。校准的硬化定律很好地捕捉了两种材料的力 - 位移曲线，验证了所提出方法在实践中的能力。