A damage formulation for continuum-kinematics-inspired peridynamics to capture fracture experiments: Dataset

Abstract: Peridynamics (PD) is a nonlocal continuum formulation that naturally allows for discontinuities, such as cracks. It has therefore become attractive in the field of fracture modeling. Continuum-kinematics-inspired peridynamics (CPD) is a novel peridynamic reformulation that overcomes the fundamental limitation of classical bond-based PD, i.e. a fixed Poisson ratio. The novelty of this work is the introduction of damage into the formulation of CPD and the comparison of the results with our fracture experiments. In CPD, nonlocal interactions between material points are captured via one-, two- and three-neighbor interactions, allowing to measure length, area and volume changes. For each type of interaction, a separate damage variable is employed, depending on the associated strain. For a two-dimensional problem, the damage parameters of the model are derived from the classical fracture energy. In order to assess the model’s performance in predicting experimental outcomes, a series of fracture experiments is performed. Diagonally loaded square plates with center cracks of varying inclination angle are tested to study different fracture modes. The results demonstrate the model’s capability to capture the maximum loads and the crack paths observed in the experiments. Contact: Marie LaurienInstitute of Applied MechanicsFriedrich-Alexander-Universität Erlangen-NürnbergEgerlandstr. 591058 Erlangen Context: Data set supplementing journal paper: M. Laurien, A. Javili, P. Steinmann, “A damage formulation for continuum-kinematics-inspired peridynamics to capture fracture experiments,” Engineering Fracture Mechanics, vol. 332, p. 111784, 2026. https://doi.org/10.1016/j.engfracmech.2025.111784 Content: The data set contains the raw load-displacement data as recorded by the tensile testing machine during the fracture experiments. Each file corresponds to one sample. Naming convention:alpha_[crack inclination angle]_rep[number of experimental repetition] Funding: This research was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - 377472739/GRK 2423/2-2023. The authors are very grateful for this support. AJ gratefully acknowledges the support provided by Scientific and Technological Research Council of Turkey (T{\"U}BITAK), grant number 222M196.