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Response surface methodology: a review of applications to risk assessment

dc.contributor.authorOliveira, Teresa A.
dc.contributor.authorLeal, Conceição
dc.contributor.authorOliveira, Amilcar
dc.date.accessioned2021-05-14T07:51:23Z
dc.date.available2021-05-14T07:51:23Z
dc.date.issued2015-05-19
dc.description.abstractRisk Analysis has assumed a crucial relevance over the past few years, particularly in dynamical systems with increasing complexity. Thanks to recent technological advances, the use of simulation techniques to estimate models has become the norm rather than the exception. These simulated models are used to predict the behavior of a system, to compute the probability of occurrence of a specific event and to predict the consequence of the said event. Uncertainty associated with the simulation, either in model parameters or in experimental data, requires its quantification as a prerequisite in probabilistic risk assessment. The computational costs of numerical simulations are often very high, thus the use of metamodels arises as a pressing necessity. Response Surface Methodology is known to be a suitable tool, both for the estimation of metamodels for the behaviors of systems and risk assessment, and for the quantification of uncertainty. A review of applications and of various aspects on the use of Response Surface Methodology in Risk Assessment Systems will be presented.pt_PT
dc.description.sponsorshipThe authors are very grateful to the referees for their useful comments and suggestions. This research was partially sponsored by national founds through the FundaçãoNacional para a Ciência e Tecnologia, Portugal - FCT under the projects: (PEst-OE/MAT/UI0006/2011 and PEst-OE/MAT/UI0006/2014).pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1007/978-3-319-18029-8_29pt_PT
dc.identifier.isbn978-3-319-18028-1
dc.identifier.urihttp://hdl.handle.net/10400.2/10739
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringerpt_PT
dc.relationStrategic Project - UI 6 - 2011-2012
dc.subjectMonte Carlo methodspt_PT
dc.subjectRisk analysispt_PT
dc.subjectRSM sensitivity analysispt_PT
dc.subjectUncertaintypt_PT
dc.titleResponse surface methodology: a review of applications to risk assessmentpt_PT
dc.typebook part
dspace.entity.typePublication
oaire.awardTitleStrategic Project - UI 6 - 2011-2012
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/PEst-OE%2FMAT%2FUI0006%2F2011/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/PEst-OE%2FMAT%2FUI0006%2F2014/PT
oaire.citation.endPage397pt_PT
oaire.citation.startPage385pt_PT
oaire.citation.titleTheory and Practice of Risk Assessmentpt_PT
oaire.citation.volume136pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream5876
person.familyNameOliveira
person.familyNameOliveira
person.givenNameTeresa A.
person.givenNameAmilcar
person.identifier1155497
person.identifier.ciencia-id8814-A54B-12DE
person.identifier.ciencia-id7110-61B4-B87F
person.identifier.orcid0000-0003-3283-9946
person.identifier.orcid0000-0001-5500-7742
person.identifier.ridJ-3077-2019
person.identifier.scopus-author-id54403540300
person.identifier.scopus-author-id55675222550
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsrestrictedAccesspt_PT
rcaap.typebookPartpt_PT
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