{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,17]],"date-time":"2026-04-17T06:27:38Z","timestamp":1776407258177,"version":"3.51.2"},"reference-count":35,"publisher":"MDPI AG","issue":"14","license":[{"start":{"date-parts":[[2021,7,14]],"date-time":"2021-07-14T00:00:00Z","timestamp":1626220800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>This paper proposes the use of terrestrial laser scanning (TLS) measurements together with finite element method (FEM) numerical modeling to assess the current technical condition. The main aim of the paper was to evaluate the effect of point cloud size reduction on the quality of the geometric model and the ability to represent the corrosion level in assessing its load-carrying capacity. In this study, a standard scanning was performed on a historical object and a point cloud of a selected corroded element was generated. In order to further process the data, gradual reductions were made in the number of points from which meshes representing the geometry of the selected beam were created. Inaccuracy analyses of the meshes generated on the reduced point clouds were performed. Numerical analysis was then conducted for the selected mesh generated from the reduced point cloud. The results identified the locations of maximum stresses. The presented analysis showed that by developing the presented measurement and computational technique, laser scanning can be used to determine the degree of corrosion of hard-to-reach steel elements.<\/jats:p>","DOI":"10.3390\/rs13142759","type":"journal-article","created":{"date-parts":[[2021,7,14]],"date-time":"2021-07-14T10:13:42Z","timestamp":1626257622000},"page":"2759","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Application of TLS Remote Sensing Data in the Analysis of the Load-Carrying Capacity of Structural Steel Elements"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5124-0333","authenticated-orcid":false,"given":"Daniel","family":"Wa\u0142ach","sequence":"first","affiliation":[{"name":"Department of Geomechanics, Civil Engineering and Geotechnics, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059 Cracow, Poland"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7766-8493","authenticated-orcid":false,"given":"Grzegorz Piotr","family":"Kaczmarczyk","sequence":"additional","affiliation":[{"name":"Department of Geomechanics, Civil Engineering and Geotechnics, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059 Cracow, Poland"}]}],"member":"1968","published-online":{"date-parts":[[2021,7,14]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1240","DOI":"10.1109\/PROC.1981.12164","article-title":"Computer-Aided Design in Civil Engineering","volume":"69","author":"Fenves","year":"1981","journal-title":"Proc. IEEE"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Janowski, A., Renigier-Bi\u0142ozor, M., Walacik, M., and Chmielewska, A. (2021). Remote measurement of building usable floor area\u2014Algorithms fusion. 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