{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T20:29:06Z","timestamp":1775075346407,"version":"3.50.1"},"reference-count":0,"publisher":"Anil K Agrawal, LLC","issue":"2","license":[{"start":{"date-parts":[[2025,4,10]],"date-time":"2025-04-10T00:00:00Z","timestamp":1744243200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["BER"],"abstract":"<jats:p>The present work addresses the problem of Optimal Sensor Placement (OSP) for a multi-span concrete bridge aiming to maximize the informational value of Structural Health Monitoring (SHM) data so that the structural dynamic behaviour can be fully characterized while equipment installation and maintenance costs are minimized. To this end, eight distinct optimal sensor placement techniques are examined. Six of these are individual sensor ranking algorithms, whereas the remaining two exploit metrics that evaluate sensor interaction to determine their relevance. Within the first category of algorithms, an enhanced ranking approach based on local maxima is investigated as a promising alternative to improve placement performance and estimate the required number of optimal sensors. The effectiveness of this method is then compared against the second category of algorithms, which are known for their better performance. Extensive experimental data from a well-known benchmark bridge structure are employed to validate this approach, enabling the exploration of a data-driven solution to the OSP problem. By analysing the advantages and limitations of each algorithm, a modal-based multi-criteria optimization is ultimately applied to drive the selection of the final best sensor configuration for the investigated bridge across multiple scenarios.<\/jats:p>","DOI":"10.70465\/ber.v2i2.26","type":"journal-article","created":{"date-parts":[[2025,4,13]],"date-time":"2025-04-13T07:18:31Z","timestamp":1744528711000},"source":"Crossref","is-referenced-by-count":4,"title":["Modal-based multi-criteria optimization of sensor placement techniques for dynamic monitoring of bridges"],"prefix":"10.70465","volume":"2","author":[{"given":"Maria Giovanna","family":"Masciotta","sequence":"first","affiliation":[]},{"given":"Alberto","family":"Barontini","sequence":"additional","affiliation":[]},{"given":"Estefania","family":"Chaves","sequence":"additional","affiliation":[]},{"given":"Nuno","family":"Mendes","sequence":"additional","affiliation":[]},{"given":"Giuseppe","family":"Brando","sequence":"additional","affiliation":[]},{"given":"Paulo B.","family":"Louren\u00e7o","sequence":"additional","affiliation":[]}],"member":"51239","published-online":{"date-parts":[[2025,4,10]]},"container-title":["International Journal of Bridge Engineering, Management and Research"],"original-title":[],"link":[{"URL":"https:\/\/ijbemr.org\/index.php\/ber\/article\/download\/26\/49","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/ijbemr.org\/index.php\/ber\/article\/download\/26\/50","content-type":"application\/epub+zip","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/ijbemr.org\/index.php\/ber\/article\/download\/26\/49","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,13]],"date-time":"2025-04-13T07:18:31Z","timestamp":1744528711000},"score":1,"resource":{"primary":{"URL":"https:\/\/ijbemr.org\/index.php\/ber\/article\/view\/26"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4,10]]},"references-count":0,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2025,4,13]]}},"URL":"https:\/\/doi.org\/10.70465\/ber.v2i2.26","relation":{},"ISSN":["3065-0569"],"issn-type":[{"value":"3065-0569","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,4,10]]}}}