Data for: A Statistical Depth-Dependent Topography Model for Virtual Reconstruction of Salt Frost Scaling in Concrete

DATA REPOSITORY FOR Title: A Statistical Depth-Dependent Topography Model for Virtual Reconstruction of Salt Frost Scaling in Concrete By: Alexander Haynack, Thomas Kränkel, Christoph Gehlen, Jithender J. Timothy Submitted to: Construction and Building Materials This dataset presents the data of the paper 'A Statistical Depth-Dependent Topography Model for Virtual Reconstruction of Salt Frost Scaling in Concrete' submitted to Construction and Building Materials. The dataset contains 3D laser scanning results of cementitious materials subjected to freeze-thaw and de-icing salt expositions according to the CDF test. The material compositions, boundary conditions, and additional information are stored in the spreadsheet file (.xlsx format). The three-dimensional surface data obtained with 3D laser scanning are stored separately as .npy files. In addition, supplementary Python files are included for loading and evaluating the three-dimensional surface data (scaling depth distributions and color-coded contour maps).