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Orthotropic nonlinear elastic materials are common in nature and widely used by various industries. However, there are only limited constitutive models available in today's commercial software (e.g., ABAQUS, ANSYS, etc.) that adequately describe their mechanical behavior. Moreover, the material parameters in these constitutive models are also difficult to calibrate through low-cost, widely available experimental setups. Therefore, it is paramount to develop new ways to model orthotropic nonlinear elastic materials. In this work, a data-driven orthotropic nonlinear elastic (DDONE) approach is proposed, which builds the constitutive response from stress–strain data sets obtained from three designed uniaxial tensile experiments. The DDONE approach is then embedded into a finite element (FE) analysis framework to solve boundary-value problems (BVPs). Illustrative examples (e.g., structures with an orthotropic …