{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T15:03:15Z","timestamp":1753887795028,"version":"3.41.2"},"reference-count":17,"publisher":"FapUNIFESP (SciELO)","issue":"2","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"am","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["REM, Int. Eng. J."],"abstract":"<jats:p>Abstract The year of construction is an essential factor in assessing the condition of bridges, as it directly influences the prediction of their deterioration and the analysis of their load-bearing capacity over time. In addition, this data is fundamental for algorithms that deal with missing information, such as that related to design standards. This study proposes and validates an algorithm to estimate the year of construction of Brazilian bridges based on three main characteristics: design vehicle, barrier type and width. The aim of the algorithm is to fill this information gap and provide managers with information to manage these infrastructures. An analysis of 5,000 bridges in the Bridge Management System revealed that 41.7% of them had no record of the year of construction. During validation, the algorithm showed robust performance, achieving a hit rate of 87.82 percent and a mean absolute error (MAE) of 5.20 years. After adjustments, the MAE was reduced to 4.45 years, with accuracy rates of 99.46% (\u00b110 years) and 79.62% (\u00b15 years). In practice, the algorithm successfully estimated the year of construction in 81.87% of cases, with the majority of bridges built in the 1970s (64.16%). These results provide a solid basis for more accurate deterioration predictions and more reliable load capacity assessments, contributing to more efficient and safer bridge management.<\/jats:p>","DOI":"10.1590\/0370-44672024780062","type":"journal-article","created":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T01:59:40Z","timestamp":1742867980000},"source":"Crossref","is-referenced-by-count":0,"title":["Algorithm for estimating the construction year of Brazilian bridges between 1950 and 1980"],"prefix":"10.1590","volume":"78","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9042-387X","authenticated-orcid":false,"given":"Christian Alexandre Feitosa de","family":"Souza","sequence":"first","affiliation":[{"name":"Universidade Federal de Vi\u00e7osa,  Brasil"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5785-3213","authenticated-orcid":false,"given":"Jose Maria Franco de","family":"Carvalho","sequence":"additional","affiliation":[{"name":"Universidade Federal de Vi\u00e7osa,  Brasil"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4481-5781","authenticated-orcid":false,"given":"Marcos Henrique Fonseca","family":"Ribeiro","sequence":"additional","affiliation":[{"name":"Universidade Federal de Vi\u00e7osa,  Brasil"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2650-4309","authenticated-orcid":false,"given":"Ana Carolina Pereira","family":"Martins","sequence":"additional","affiliation":[{"name":"Universidade Federal de Vi\u00e7osa,  Brasil"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-0788-4883","authenticated-orcid":false,"given":"Fernando Guss\u00e3o","family":"Bellon","sequence":"additional","affiliation":[{"name":"Universidade Federal de Vi\u00e7osa,  Brasil"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8680-4859","authenticated-orcid":false,"given":"Matheus Sant\u2019anna","family":"Andrade","sequence":"additional","affiliation":[{"name":"Universidade Federal de Vi\u00e7osa,  Brasil"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4771-8971","authenticated-orcid":false,"given":"Diogo Silva de","family":"Oliveira","sequence":"additional","affiliation":[{"name":"Universidade Federal de Vi\u00e7osa,  Brasil"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4069-7001","authenticated-orcid":false,"given":"Jos\u00e9 Carlos Lopes","family":"Ribeiro","sequence":"additional","affiliation":[{"name":"Universidade Federal de Vi\u00e7osa,  Brasil"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4779-4226","authenticated-orcid":false,"given":"Kleos Magalh\u00e3es Lens","family":"Cesar Jr.","sequence":"additional","affiliation":[{"name":"Universidade Federal de Vi\u00e7osa,  Brasil"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1536-2149","authenticated-orcid":false,"given":"Jos\u00e9 Antonio Silva Carvalho Campos","family":"Matos","sequence":"additional","affiliation":[{"name":"Universidade do Minho,  Portugal"}]}],"member":"530","published-online":{"date-parts":[[2025]]},"reference":[{"key":"ref1","doi-asserted-by":"crossref","first-page":"655","DOI":"10.1016\/j.ymssp.2018.11.052","article-title":"LQD-RKHS-based distribution-to-distribution regression methodology for restoring the probability distributions of missing SHM data","volume":"121","author":"CHEN Zhicheng","year":"2019","journal-title":"Mechanical Systems and Signal Processing"},{"edition":"2","year":"2004","series-title":"Manual de Inspe\u00e7\u00e3o","key":"ref2"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"112095","DOI":"10.1016\/j.measurement.2022.112095","article-title":"Missing data imputation framework for bridge structural health monitoring based on slim generative adversarial networks","volume":"204","author":"GAO Shuai","year":"2022","journal-title":"Measurement"},{"issue":"10","key":"ref4","doi-asserted-by":"crossref","first-page":"913","DOI":"10.1080\/08839514.2019.1637138","article-title":"Comparison of performance of data imputation methods for numeric dataset","volume":"33","author":"JADHAV Anil","year":"2019","journal-title":"Applied Artificial Intelligence"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"110085","DOI":"10.1016\/j.measurement.2021.110085","article-title":"A missing sensor measurement data reconstruction framework powered by multi-task Gaussian process regression for dam structural health monitoring systems","volume":"186","author":"LI Yangtao","year":"2021","journal-title":"Measurement"},{"issue":"7","key":"ref6","doi-asserted-by":"crossref","first-page":"1292","DOI":"10.1080\/02664763.2017.1369498","article-title":"An application of nonparametric regression to missing data in large market surveys","volume":"45","author":"MADDEN Gary","year":"2018","journal-title":"Journal of Applied Statistics"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1080\/15732479.2024.2331103","article-title":"Detecting, monitoring and modeling damage within the decision-making process in the context of managing bridges: a review","author":"MARTINS Ana Carolina Pereira","year":"2024","journal-title":"Structure and Infrastructure Engineering"},{"issue":"5","key":"ref8","doi-asserted-by":"crossref","first-page":"2408","DOI":"10.1177\/14759217211056832","article-title":"Restoration of missing structural health monitoring data using spatiotemporal graph attention networks","volume":"21","author":"NIU Jin","year":"2022","journal-title":"Structural Health Monitoring"},{"issue":"2","key":"ref9","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1177\/0165551506070706","article-title":"The wisdom hierarchy: representations of the DIKW hierarchy","volume":"33","author":"ROWLEY Jennifer.","year":"2007","journal-title":"Journal of Information Science"},{"key":"ref10","first-page":"150","article-title":"Evaluating and predicting deterioration of bridges using machine learning applications","author":"SABELLANO Ruel","year":"2023","journal-title":"Proceedings [...]"},{"issue":"4","key":"ref11","doi-asserted-by":"crossref","first-page":"225","DOI":"10.3846\/bjrbe.2017.28","article-title":"Statistical analysis of reinforced concrete bridges in Estonia","volume":"12","author":"SEIN Sander","year":"2017","journal-title":"The Baltic Journal of Road and Bridge Engineering"},{"key":"ref12","first-page":"1","article-title":"Ferramentas de gerenciamento para controle das obras de arte especiais do DNIT: SGO e Monalisa","author":"SILVA Patr\u00edcia C. S.","year":"2021","journal-title":"Anais [...]"},{"issue":"4","key":"ref13","doi-asserted-by":"crossref","first-page":"77","DOI":"10.3390\/infrastructures8040077","article-title":"Estimation of year of construction of bridges in Cambodia by analyzing the landsat normalized difference water index","volume":"8","author":"SOVISOTH Eam","year":"2023","journal-title":"Infrastructures"},{"key":"ref14","series-title":"Bridge safety, maintenance, management, life-cycle, resilience and sustainability","first-page":"2268","volume-title":"A mechanistic approach to infer the load capacity of highway bridges with insufficient as-built data","author":"SPINEL J. S.","year":"2022"},{"issue":"6","key":"ref15","article-title":"Vertical and horizontal combined algorithm for missing data imputation in bridge health monitoring system","volume":"28","author":"SUN Bo","year":"2023","journal-title":"Journal of Bridge Engineering"},{"key":"ref16","first-page":"1141","article-title":"Missing data imputation in bridge monitoring system based on the prediction algorithms","author":"XU Jiaqi.","year":"2023","journal-title":"Anais [...]"},{"key":"ref17","doi-asserted-by":"crossref","first-page":"104118","DOI":"10.1016\/j.autcon.2021.104118","article-title":"Intelligent bridge management via big data knowledge engineering","volume":"135","author":"YANG Jianxi","year":"2022","journal-title":"Automation in Construction"}],"container-title":["REM - International Engineering Journal"],"original-title":[],"link":[{"URL":"http:\/\/www.scielo.br\/scielo.php?script=sci_pdf&pid=S2448-167X2025000200204&tlng=en","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T02:00:21Z","timestamp":1742868021000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.scielo.br\/scielo.php?script=sci_arttext&pid=S2448-167X2025000200204&tlng=en"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":17,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2025]]}},"alternative-id":["S2448-167X2025000200204"],"URL":"https:\/\/doi.org\/10.1590\/0370-44672024780062","relation":{},"ISSN":["2448-167X"],"issn-type":[{"type":"electronic","value":"2448-167X"}],"subject":[],"published":{"date-parts":[[2025]]},"article-number":"e240062"}}