2025_An_MSSP_PADL

Dataset for the publication: An X., Hou J., Jankowski Ł., Zhang Q., A physics-augmented deep learning framework for structural dynamic load identification with FRF-guided state expansion, MECHANICAL SYSTEMS AND SIGNAL PROCESSING, ISSN: 0888-3270, DOI: 10.1016/j.ymssp.2026.113965, Vol.247, pp.113965-1-113965-23, 2026. Preprint of the publiction is available at: https://hal.science/hal-05498961 The full published version is available at: https://doi.org/10.1016/j.ymssp.2026.113965 This research has been supported by the National Key Research and Development Program of China (2024YFF0507103), the National Natural Science Foundation of China (NSFC) (52378285), the Liaoning Provincial Natural Science Foundation of China (2024-MS-020) and the National Science Centre of Poland (2020/39/B/ST8/02615). The data files are in the txt/CSV format and correspond to Sections 3 and 4 in the original publication: Section_3_mass-matrix.csv : mass matrix of the structure considered in Section 3 Section_3_damping-matrix.csv : damping matrix of the structure considered in Section 3 Section_3_stiffness-matrix.csv : stiffness matrix of the structure considered in Section 3 Section_3_loads.csv : the six loads considered in Section 3 (time in seconds and loads in N, as in the column headers) Section_3_acceleration-responses.csv : the floor acceleration responses to the six loads considered in Section 3 (time in seconds and responses in m/s2, as in the column headers) Section_4_random_trial-[1-9].csv : the random load and acceleration responses of the four floors considered in Section 4 (time in seconds, load in N, responses in m/s2, as in the column headers) Section_4_impulse_trial-[1-9].csv : the impulse load and acceleration responses of the four floors considered in Section 4 (time in seconds, load in N, responses in m/s2, as in the column headers)