{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,30]],"date-time":"2026-03-30T16:03:15Z","timestamp":1774886595084,"version":"3.50.1"},"reference-count":28,"publisher":"MDPI AG","issue":"21","license":[{"start":{"date-parts":[[2022,11,4]],"date-time":"2022-11-04T00:00:00Z","timestamp":1667520000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"COFAC\u2014Cooperativa de Forma\u00e7\u00e3o e Anima\u00e7\u00e3o Cultural","award":["UIDB\/04625\/2020"],"award-info":[{"award-number":["UIDB\/04625\/2020"]}]},{"name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia (MCTES)","award":["UIDB\/04625\/2020"],"award-info":[{"award-number":["UIDB\/04625\/2020"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>The broad availability and low cost of smartphones have justified their use for structural health monitoring (SHM) of bridges. This paper presents a smartphone application called App4SHM, as a customized SHM process for damage detection. App4SHM interrogates the phone\u2019s internal accelerometer to measure accelerations, estimates the natural frequencies, and compares them with a reference data set through a machine learning algorithm properly trained to detect damage in almost real time. The application is tested on data sets from a laboratory beam structure and two twin post-tensioned concrete bridges. The results show that App4SHM retrieves the natural frequencies with reliable precision and performs accurate damage detection, promising to be a low-cost solution for long-term SHM. It can also be used in the context of scheduled bridge inspections or to assess bridges\u2019 condition after catastrophic events.<\/jats:p>","DOI":"10.3390\/s22218483","type":"journal-article","created":{"date-parts":[[2022,11,4]],"date-time":"2022-11-04T04:00:51Z","timestamp":1667534451000},"page":"8483","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":25,"title":["Smartphone Application for Structural Health Monitoring of Bridges"],"prefix":"10.3390","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9168-6903","authenticated-orcid":false,"given":"Eloi","family":"Figueiredo","sequence":"first","affiliation":[{"name":"Faculty of Engineering, Lus\u00f3fona University, Campo Grande 376, 1749-024 Lisboa, Portugal"},{"name":"CERIS, Instituto Superior T\u00e9cnico, University of Lisbon, Rovisco Pais, 1049-001 Lisboa, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3085-0770","authenticated-orcid":false,"given":"Ionut","family":"Moldovan","sequence":"additional","affiliation":[{"name":"Faculty of Engineering, Lus\u00f3fona University, Campo Grande 376, 1749-024 Lisboa, Portugal"},{"name":"CERIS, Instituto Superior T\u00e9cnico, University of Lisbon, Rovisco Pais, 1049-001 Lisboa, Portugal"}]},{"given":"Pedro","family":"Alves","sequence":"additional","affiliation":[{"name":"Faculty of Engineering, Lus\u00f3fona University, Campo Grande 376, 1749-024 Lisboa, Portugal"},{"name":"COPELABS, Computer Engineering Department, Lus\u00f3fona University, Campo Grande 376, 1749-024 Lisboa, Portugal"}]},{"given":"Hugo","family":"Rebelo","sequence":"additional","affiliation":[{"name":"Faculty of Engineering, Lus\u00f3fona University, Campo Grande 376, 1749-024 Lisboa, Portugal"},{"name":"CERIS, Instituto Superior T\u00e9cnico, University of Lisbon, Rovisco Pais, 1049-001 Lisboa, Portugal"}]},{"given":"Laura","family":"Souza","sequence":"additional","affiliation":[{"name":"Faculty of Engineering, Lus\u00f3fona University, Campo Grande 376, 1749-024 Lisboa, Portugal"},{"name":"Applied Electromagnetism Laboratory, Universidade Federal do Par\u00e1, R. Augusto Corr\u00eaa, Guam\u00e1 01, Bel\u00e9m 66053-260, Brazil"}]}],"member":"1968","published-online":{"date-parts":[[2022,11,4]]},"reference":[{"key":"ref_1","unstructured":"Figueiredo, E., Moldovan, I., and Marques, M.B. (2013). Condition Assessment of Bridges: Past, Present and Future A Complementary Approach, Cat\u00f3lica Editora."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"303","DOI":"10.2749\/101686698780488758","article-title":"The Pontis Bridge Management System","volume":"8","author":"Thompson","year":"1998","journal-title":"Struct. Eng. Int."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Ahmed, H., La, H.M., and Gucunski, N. (2020). Review of Non-Destructive Civil Infrastructure Evaluation for Bridges: State-of-the-Art Robotic Platforms, Sensors and Algorithms. Sensors (Basel), 20.","DOI":"10.3390\/s20143954"},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Farrar, C.R., and Worden, K. (2013). 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