{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,22]],"date-time":"2026-01-22T00:46:47Z","timestamp":1769042807634,"version":"3.49.0"},"reference-count":34,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2021,12,28]],"date-time":"2021-12-28T00:00:00Z","timestamp":1640649600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100000923","name":"Australian Research Council","doi-asserted-by":"publisher","award":["DP160103197"],"award-info":[{"award-number":["DP160103197"]}],"id":[{"id":"10.13039\/501100000923","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Bridge infrastructures are always subjected to degradation because of aging, their environment, and excess loading. Now it has become a worldwide concern that a large proportion of bridge infrastructures require significant maintenance. This compels the engineering community to develop a robust method for condition assessment of the bridge structures. Here, the simultaneous identification of moving loads and structural damage based on the explicit form of the Newmark-\u03b2 method is proposed. Although there is an extensive attempt to identify moving loads with known structural parameters, or vice versa, their simultaneous identification considering the road roughness has not been studied enough. Furthermore, most of the existing time domain methods are developed for structures under non-moving loads and are commonly formulated by state-space method, thus suffering from the errors of discretization and sampling ratio. This research is believed to be among the few studies on condition assessment of bridge structures under moving vehicles considering factors such as sensor placement, sampling frequency, damage type, measurement noise, vehicle speed, and road surface roughness with numerical and experimental verifications. Results indicate that the method is able to detect damage with at least three sensors, and is not sensitive to sensors location, vehicle speed and road roughness level. Current limitations of the study as well as prospective research developments are discussed in the conclusion.<\/jats:p>","DOI":"10.3390\/rs14010119","type":"journal-article","created":{"date-parts":[[2021,12,28]],"date-time":"2021-12-28T06:55:03Z","timestamp":1640674503000},"page":"119","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Simultaneous Identification of Bridge Structural Damage and Moving Loads Using the Explicit Form of Newmark-\u03b2 Method: Numerical and Experimental Studies"],"prefix":"10.3390","volume":"14","author":[{"given":"Solmaz","family":"Pourzeynali","sequence":"first","affiliation":[{"name":"Centre for Infrastructure Engineering, School of Engineering, Western Sydney University, Sydney, NSW 2751, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xinqun","family":"Zhu","sequence":"additional","affiliation":[{"name":"School of Civil and Environmental Engineering, University of Technology, Sydney, NSW 2007, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ali","family":"Ghari Zadeh","sequence":"additional","affiliation":[{"name":"Centre for Infrastructure Engineering, School of Engineering, Western Sydney University, Sydney, NSW 2751, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maria","family":"Rashidi","sequence":"additional","affiliation":[{"name":"Centre for Infrastructure Engineering, School of Engineering, Western Sydney University, Sydney, NSW 2751, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bijan","family":"Samali","sequence":"additional","affiliation":[{"name":"Centre for Infrastructure Engineering, School of Engineering, Western Sydney University, Sydney, NSW 2751, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2021,12,28]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1007\/s11465-006-0004-4","article-title":"A super-element approach for structural identification in time domain","volume":"1","author":"Li","year":"2006","journal-title":"Front. 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