The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/58d1f5e6-5db3-4a74-a3d1-6e88a3bd8bce

Korswagen Eguren, Paul (2024): Data underlying the PhD thesis: Quantifying the probability of light damage to masonry structures - An exploration of crack initiation and progression due to seismic vibrations on masonry buildings with existing damage. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/58d1f5e6-5db3-4a74-a3d1-6e88a3bd8bce.v1

Dataset

• Civil Engineering
• Engineering

Damage, DIC, digital image correlation, Experiments, FEM, finite element method, Masonry, unreinforced masonry, URM

CC0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Paul Korswagen Eguren

Experimental summary data from in-plane tests on full-scale masonry walls including force-drift data and post-processed digital-image-correlation displacements including psi-parameter analysis. Also, finite-element-method results in Diana tab-output and post-processing for Psi-damage parameter.

• 2024-05-14 first online, published, posted

4TU.ResearchData

Matlab mat files, zipped csv

• https://doi.org/10.1007/s10518-018-00553-5
• https://doi.org/10.1007/s10518-020-00803-5
• https://doi.org/10.1016/j.engstruct.2020.110365
• https://doi.org/10.1007/s10518-022-01404-0

TU Delft, Faculty of Civil Engineering and Geosciences, Department of Materials, Mechanics, Management & Design (3MD)