Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/53827
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dc.contributor.authorToh, Kelly Jia Li.
dc.date.accessioned2013-06-07T07:34:35Z
dc.date.available2013-06-07T07:34:35Z
dc.date.copyright2013en_US
dc.date.issued2013
dc.identifier.urihttp://hdl.handle.net/10356/53827
dc.description.abstractOptimal sensor configuration for a nine-storey shear building model is presented using statistical methodology. The optimal placing of sensors allows measured data that contains the most information for model parameter estimation to be collected. This methodology is useful in damage detection, model updating and localisation applications. Uncertainties such as modelling error, and model uncertainties are taken into account for this method. The optimality criterion for the sensor configuration depends on the entropy information, a unique measure of uncertainty in the parameters of the model. The uncertainty is derived using a Bayesian statistical methodology, in which the value of entropy measure is minimised considering a set of possible sensor configurations. The values of entropy measure is computed using genetic algorithm. Large uncertainties are also considered by using Monte Carlo simulation.en_US
dc.format.extent52 p.en_US
dc.language.isoenen_US
dc.rightsNanyang Technological University
dc.subjectDRNTU::Engineering::Civil engineering::Structures and designen_US
dc.titleOptimal sensor placement for dynamic model updating of civil engineering structuresen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.schoolSchool of Civil and Environmental Engineeringen_US
dc.description.degreeBachelor of Engineering (Civil)en_US
dc.contributor.supervisor2Cheung Sai Hungen_US
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Appears in Collections:CEE Student Reports (FYP/IA/PA/PI)
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