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dc.contributorDepartment of Civil and Environmental Engineeringen_US
dc.creatorZhao, Xen_US
dc.creatorWu, Ben_US
dc.creatorLai, SKen_US
dc.creatorLi, Zen_US
dc.creatorZhong, Hen_US
dc.date.accessioned2023-03-06T01:18:25Z-
dc.date.available2023-03-06T01:18:25Z-
dc.identifier.issn0141-0296en_US
dc.identifier.urihttp://hdl.handle.net/10397/97430-
dc.language.isoenen_US
dc.publisherPergamon Pressen_US
dc.rights© 2020 Elsevier Ltd. All rights reserved.en_US
dc.rights© 2020. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/.en_US
dc.rightsThe following publication Zhao, X., Wu, B., Lai, S. K., Li, Z., & Zhong, H. (2021). A PEM-based topology optimization for structures subjected to stationary random excitations. Engineering Structures, 229, 111613 is available at https://doi.org/10.1016/j.engstruct.2020.111613.en_US
dc.subjectAdaptive algorithmen_US
dc.subjectPseudo excitation methoden_US
dc.subjectStationary random excitationen_US
dc.subjectTopology optimizationen_US
dc.titleA PEM-based topology optimization for structures subjected to stationary random excitationsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume229en_US
dc.identifier.doi10.1016/j.engstruct.2020.111613en_US
dcterms.abstractThis paper focuses on the topological optimization of structures subjected to stationary random excitations. A new topology optimization scheme based on the pseudo excitation method (PEM) for calculating structural random responses in a frequency domain is proposed. In this method, the Sturm sequence is applied to adaptively determine the number of lower-order modes used for mode superposition analysis. The contribution of unknown higher-order modes is approximated by the partial sum of a constructed convergent series. Since the method can offer an approximate expression of structural response solutions, not only it can enhance the flexibility of implementation and also improve the computational effort and accuracy. In addition, derivatives of the objective function are derived by means of the adjoint method. They can be achieved by solving an adjoint problem that is similar to the original governing equation of the system. Two illustrative examples are presented to affirm the proposed scheme in terms of computational accuracy and efficiency.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationEngineering structures, 15 Feb. 2021, v. 229, 111613en_US
dcterms.isPartOfEngineering structuresen_US
dcterms.issued2021-02-15-
dc.identifier.scopus2-s2.0-85097786551-
dc.identifier.eissn1873-7323en_US
dc.identifier.artn111613en_US
dc.description.validate202203 bcfcen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberCEE-0422-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational Natural Science Foundation of Chinaen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS41519882-
dc.description.oaCategoryGreen (AAM)en_US
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