A multi‐objective genetic algorithm strategy for robust optimal sensor placement

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dc.contributor.authorCivera, Marco
dc.contributor.authorPecorelli, Marica Leonarda
dc.contributor.authorCeravolo, Rosario
dc.contributor.authorSurace, Cecilia
dc.contributor.authorFragonara, Luca Zanotti
dc.date.accessioned2021-03-25T17:24:19Z
dc.date.available2021-03-25T17:24:19Z
dc.date.issued2021-02-17
dc.description.abstractThe performance of a monitoring system for civil buildings and infrastructures or mechanical systems depends mainly on the position of the deployed sensors. At the current state, this arrangement is chosen through optimal sensor placement (OSP) techniques that consider only the initial conditions of the structure. The effects of the potential damage are usually completely neglected during its design. Consequently, this sensor pattern is not guaranteed to remain optimal during the whole lifetime of the structure, especially for complex masonry buildings in high seismic hazard zones. In this paper, a novel approach based on multi‐objective optimization (MO) and genetic algorithms (GAs) is proposed for a damage scenario driven OSP strategy. The aim is to improve the robustness of the sensor configuration for damage detection after a potentially catastrophic event. The performance of this strategy is tested on the case study of the bell tower of the Santa Maria and San Giovenale Cathedral in Fossano (Italy) and compared to other classic OSP strategies and a standard GA approach with a single objective function.en_UK
dc.identifier.citationCivera M, Pecorelli ML, Ceravolo R, et al., (2021) A multi‐objective genetic algorithm strategy for robust optimal sensor placement. Computer-Aided Civil and Infrastructure Engineering, Volume 36, Issue 9, September 2021, pp. 1185-1202en_UK
dc.identifier.issn1093-9687
dc.identifier.urihttps://doi.org/10.1111/mice.12646
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/16508
dc.language.isoenen_UK
dc.publisherWileyen_UK
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.titleA multi‐objective genetic algorithm strategy for robust optimal sensor placementen_UK
dc.typeArticleen_UK

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