{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T00:45:58Z","timestamp":1772844358658,"version":"3.50.1"},"reference-count":33,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2021,5,27]],"date-time":"2021-05-27T00:00:00Z","timestamp":1622073600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Spanish Ministry of Science, Innovation and Universities","award":["RTI2018-095893-B-C21"],"award-info":[{"award-number":["RTI2018-095893-B-C21"]}]},{"name":"INTERREG Atlantic Area Programme through the European Regional Development Fund (ERDF)","award":["EAPA_826\/2018"],"award-info":[{"award-number":["EAPA_826\/2018"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Riveting is a joining technique that was widely used in iron and steel structures from the mid-nineteenth to the early twentieth century. Nowadays, many of these riveted structures are still in service around the world, and in many instances, also constitute an important part of the built cultural heritage. The maintenance and conservation of this type of construction is a crucial task for which the HBIM (Historic Building Information Modeling) methodology has recently gained increased attention, postulating itself as the ideal tool for tracking control and conservation-related actions. In the process of data collection and 3D modeling of the structure, the rivets are an important part to be taken into account in the structural safety assessment and health monitoring over time. Any structure of this typology typically presents thousands of rivets, so its measurement and subsequent 3D geometrical modeling is a laborious task and a source of possible errors. Accordingly, this work presents a novel methodology that allows the automatic identification and 3D modeling of rivets in iron and steel structures from Lidar data. The proposed methodology has been tested with both laboratory specimens and a full-scale real bridge.<\/jats:p>","DOI":"10.3390\/rs13112108","type":"journal-article","created":{"date-parts":[[2021,5,27]],"date-time":"2021-05-27T11:07:02Z","timestamp":1622113622000},"page":"2108","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Automatic Identification and Geometrical Modeling of Steel Rivets of Historical Structures from Lidar Data"],"prefix":"10.3390","volume":"13","author":[{"given":"\u00c1lvaro","family":"Pereira","sequence":"first","affiliation":[{"name":"Department of Materials Engineering, Applied Mechanics and Construction, School of Industrial Engineering, University of Vigo, C.P. 36208 Vigo, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6948-1389","authenticated-orcid":false,"given":"Manuel","family":"Cabaleiro","sequence":"additional","affiliation":[{"name":"Department of Materials Engineering, Applied Mechanics and Construction, School of Industrial Engineering, University of Vigo, C.P. 36208 Vigo, Spain"}]},{"given":"Borja","family":"Conde","sequence":"additional","affiliation":[{"name":"Department of Materials Engineering, Applied Mechanics and Construction, School of Industrial Engineering, University of Vigo, C.P. 36208 Vigo, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8232-2104","authenticated-orcid":false,"given":"Ana","family":"S\u00e1nchez-Rodr\u00edguez","sequence":"additional","affiliation":[{"name":"Department of Materials Engineering, Applied Mechanics and Construction, School of Industrial Engineering, University of Vigo, C.P. 36208 Vigo, Spain"}]}],"member":"1968","published-online":{"date-parts":[[2021,5,27]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"L\u00f3pez, F.J., Lerones, P.M., Llamas, J., G\u00f3mez-Garc\u00eda-Bermejo, J., and Zalama, E. (2018). A review of heritage building information modelling (H-BIM). Multimodal Technol. Interact., 2.","DOI":"10.3390\/mti2020021"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Pierdicca, R., Paolanti, M., Matrone, F., Martini, M., Morbidoni, C., Malinverni, E.S., Frontoni, E., and Lingua, A.M. (2020). Point Cloud Semantic Segmentation Using a Deep Learning Framework for Cultural Heritage. Remote Sens., 12.","DOI":"10.3390\/rs12061005"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"103262","DOI":"10.1016\/j.autcon.2020.103262","article-title":"HBIM for storing life-cycle data regarding decay and damage in existing timber structures","volume":"117","author":"Mol","year":"2020","journal-title":"Autom. Constr."},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Andriasyan, M., Moyano, J., Nieto-Juli\u00e1n, J.E., and Ant\u00f3n, D. (2020). From Point Cloud Data to Building Information Modelling: An Automatic Parametric Workflow for Heritage. Remote Sens., 12.","DOI":"10.3390\/rs12071094"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"103008","DOI":"10.1016\/j.autcon.2019.103008","article-title":"An online platform to unify and synchronise heritage architecture information","volume":"110","author":"Palomar","year":"2020","journal-title":"Autom. Constr."},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Croce, V., Caroti, G., De Luca, L., Jacquot, K., Piemonte, A., and V\u00e9ron, P. (2021). From the Semantic Point Cloud to Heritage-Building Information Modeling: A Semiautomatic Approach Exploiting Machine Learning. Remote Sens., 13.","DOI":"10.3390\/rs13030461"},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Maalek, R., Lichti, D.D., and Ruwanpura, J.Y. (2019). Automatic recognition of common structural elements from point clouds for automated progress monitoring and dimensional quality control in reinforced concrete construction. Remote Sens., 11.","DOI":"10.3390\/rs11091102"},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Cui, Y., Li, Q., and Dong, Z. (2019). Structural 3D Reconstruction of Indoor Space for 5G Signal Simulation with Mobile Laser Scanning Point Clouds. Remote Sens., 11.","DOI":"10.3390\/rs11192262"},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Karunathilake, A., Honma, R., and Niina, Y. (2020). Self-Organized Model Fitting Method for Railway Structures Monitoring Using LiDAR Point Cloud. Remote Sens., 12.","DOI":"10.3390\/rs12223702"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1016\/j.measurement.2015.08.023","article-title":"Algorithm for beam deformation modeling from LiDAR data","volume":"76","author":"Cabaleiro","year":"2015","journal-title":"Measurement"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"679","DOI":"10.1016\/j.culher.2013.11.015","article-title":"Modeling the thickness of vaults in the church of Santa Maria de Magdalena (Valencia, Spain) with laser scanning techniques","volume":"15","author":"Herraez","year":"2014","journal-title":"J. Cult. Herit."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1016\/j.isprsjprs.2014.07.006","article-title":"Automatic 3D modelling of metal frame connections from LIDAR data for structural engineering purposes","volume":"96","author":"Cabaleiro","year":"2014","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"72","DOI":"10.1016\/j.autcon.2019.01.010","article-title":"Building information modelling for off-site construction: Review and future directions","volume":"101","author":"Yin","year":"2019","journal-title":"Autom. Constr."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"221","DOI":"10.1016\/j.autcon.2019.02.022","article-title":"Informetric analysis and review of literature on the role of BIM in sustainable construction","volume":"103","author":"Santos","year":"2019","journal-title":"Autom. Constr."},{"key":"ref_15","first-page":"271","article-title":"Security and safety management and role of laser scanning in unique and peculiar cultural heritage sites such as the papal basilica and the sacred convent of Saint Francis in Assisi in Italy","volume":"2","author":"Garzia","year":"2018","journal-title":"Int. J. Herit. Archit."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"58","DOI":"10.1016\/j.engstruct.2019.01.096","article-title":"Tridimensional parametric model for prediction of structural safety of existing timber roofs using laser scanner and drilling resistance tests","volume":"185","author":"Cuartero","year":"2019","journal-title":"Eng. Struct."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"118","DOI":"10.1016\/j.conbuildmat.2014.07.106","article-title":"The combination of geomatic approaches and operational modal analysis to improve calibration of finite element models: A case of study in Saint Torcato church (Guimaraes, Portugal)","volume":"70","author":"Riveiro","year":"2014","journal-title":"Constr. Build. Mater."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"103037","DOI":"10.1016\/j.autcon.2019.103037","article-title":"Semi-automated generation of parametric BIM for steel structures based on terrestrial laser scanning data","volume":"112","author":"Yang","year":"2020","journal-title":"Autom. Constr."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"103064","DOI":"10.1016\/j.autcon.2019.103064","article-title":"A BIM-based framework for quantitative assessment of steel structure deconstructability","volume":"111","author":"Basta","year":"2020","journal-title":"Autom. Constr."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"66","DOI":"10.1016\/j.autcon.2016.11.011","article-title":"Toward automatic generation of 3D steel structures for building information modelling","volume":"74","author":"Laefer","year":"2017","journal-title":"Autom. Constr."},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Donato, V., Biagini, C., Bertini, G., and Marsugli, F. (2017). Challenges and opportunities for the implementation of h-bim with regards to historical infrastructures: A case study of the ponte giorgini in castiglione della pescaia (grosseto-italy). Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci., 42.","DOI":"10.5194\/isprs-archives-XLII-5-W1-253-2017"},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Morganti, R., Tosone, A., Di Donato, D., and Abita, M. (2019). Hbim and the 20th century steel building heritage\u2013a procedure suitable for the construction history in italy. Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci.","DOI":"10.5194\/isprs-archives-XLII-2-W9-515-2019"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"102805","DOI":"10.1016\/j.cad.2019.102805","article-title":"Aircraft Skin Rivet Detection Based on 3D Point Cloud via Multiple Structures Fitting","volume":"120","author":"Xie","year":"2020","journal-title":"Comput. Aided Des."},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Ying, C., Zhou, Y., Han, D., Qin, G., Hu, K., Guo, J., and Guo, T. (2019, January 20\u201322). Applying BIM and 3D laser scanning technology on virtual pre-assembly for complex steel structure in construction. Proceedings of the IOP Conference Series: Earth and Environmental Science, Beijing, China.","DOI":"10.1088\/1755-1315\/371\/2\/022036"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"417","DOI":"10.1016\/j.patcog.2018.04.010","article-title":"Robust statistical approaches for circle fitting in laser scanning three-dimensional point cloud data","volume":"81","author":"Nurunnabi","year":"2018","journal-title":"Pattern Recognit."},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Truong-Hong, L., and Laefer, D.F. (2015, January 13\u201315). A semi-automatic member detection for metal bridges. Proceedings of the IABSE Conference Nara: Elegance in Structures, Nara, Japan. Available online: http:\/\/hdl.handle.net\/10197\/7447.","DOI":"10.2749\/222137815815774700"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1016\/j.autcon.2014.05.015","article-title":"Automated dimensional quality assessment of precast concrete panels using terrestrial laser scanning","volume":"45","author":"Kim","year":"2014","journal-title":"Autom. Constr."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"012084","DOI":"10.1088\/1742-6596\/78\/1\/012084","article-title":"Ordinary least square regression, orthogonal regression, geometric mean regression and their applications in aerosol science","volume":"78","author":"Leng","year":"2007","journal-title":"J. Phys. Conf. Ser."},{"key":"ref_29","first-page":"407","article-title":"Rejecting outliers and estimating errors in an orthogonal-regression framework","volume":"350","author":"Shapiro","year":"1995","journal-title":"Philos. Trans. R. Soc. Lond. Ser. A Phys. Eng. Sci."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"264","DOI":"10.1198\/004017005000000166","article-title":"Principal components and orthogonal regression based on robust scales","volume":"47","author":"Maronna","year":"2005","journal-title":"Technometrics"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1016\/j.conbuildmat.2016.11.032","article-title":"Algorithm for automatic detection and analysis of cracks in timber beams from LiDAR data","volume":"130","author":"Cabaleiro","year":"2017","journal-title":"Constr. Build. Mater."},{"key":"ref_32","unstructured":"Espa\u00f1a. Ministerio de Obras P\u00fablicas y Transportes (2021, March 21). Norma b\u00e1sica de la edificaci\u00f3n NBE MV-105 1967: Roblones de acero Normativas. Espa\u00f1a. Ministerio de Obras P\u00fablicas y Transportes: 1992. Available online: https:\/\/www.boe.es\/eli\/es\/rd\/1995\/11\/10\/1829."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"1726","DOI":"10.1016\/j.conbuildmat.2010.11.094","article-title":"Terrestrial laser scanning and limit analysis of masonry arch bridges","volume":"25","author":"Riveiro","year":"2011","journal-title":"Constr. Build. Mater."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/11\/2108\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T06:09:06Z","timestamp":1760162946000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/11\/2108"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5,27]]},"references-count":33,"journal-issue":{"issue":"11","published-online":{"date-parts":[[2021,6]]}},"alternative-id":["rs13112108"],"URL":"https:\/\/doi.org\/10.3390\/rs13112108","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,5,27]]}}}