Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.compfluid.2006.01.016
DC FieldValue
dc.titleReal-time optimization using proper orthogonal decomposition: Free surface shape prediction due to underwater bubble dynamics
dc.contributor.authorMy-Ha, D.
dc.contributor.authorLim, K.M.
dc.contributor.authorKhoo, B.C.
dc.contributor.authorWillcox, K.
dc.date.accessioned2014-06-17T06:32:17Z
dc.date.available2014-06-17T06:32:17Z
dc.date.issued2007-03
dc.identifier.citationMy-Ha, D., Lim, K.M., Khoo, B.C., Willcox, K. (2007-03). Real-time optimization using proper orthogonal decomposition: Free surface shape prediction due to underwater bubble dynamics. Computers and Fluids 36 (3) : 499-512. ScholarBank@NUS Repository. https://doi.org/10.1016/j.compfluid.2006.01.016
dc.identifier.issn00457930
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/61206
dc.description.abstractA new data-driven reduced-order modeling approach for real-time optimization applications is presented. The proper orthogonal decomposition (POD) technique is used for the reduced-order model, with the basis functions determined from an ensemble of offline high-fidelity simulations. For optimization in real time, a rapid two-stage approach is taken in the online phase: the POD coefficients are first determined by solving a small optimization problem, and the desired parameters are subsequently obtained by interpolation of the POD coefficients using precomputed information from the simulation ensemble. This method is applied to optimizing parameters for underwater bubble explosions so that a desired free surface shape is generated. For time-critical applications, such as using the water barrier generated to stop sea-skimming objects, the time available for online optimization is limited to about 30 s. Results for two-dimensional simulation, using a personal computer (dual CPU running at 2.8 GHz), show that our new methodology is able to meet such a critical time requirement. For three-dimensional simulations, the time taken for computation increases, and a faster computer or parallel implementation is required. © 2006 Elsevier Ltd. All rights reserved.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/j.compfluid.2006.01.016
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentMECHANICAL ENGINEERING
dc.description.doi10.1016/j.compfluid.2006.01.016
dc.description.sourcetitleComputers and Fluids
dc.description.volume36
dc.description.issue3
dc.description.page499-512
dc.description.codenCPFLB
dc.identifier.isiut000243716200001
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