Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Jessé Paixão"'
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-13 (2022)
Abstract The design of complex engineering structures largely relies on computational intelligence in the form of science-based predictive models to support design decisions. This approach requires modeling and manufacturing uncertainties to be accou
Externí odkaz:
https://doaj.org/article/81eef3e6ca1540e498f42597540c9335
Publikováno v:
Scopus
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Made available in DSpace on 2021-06-25T10:14:13Z (GMT). No. of bitstreams: 0 Previous issue date: 2020-01-01 After detecting initial delamination damage in a hotspot region of a composite structure monitored through a data-driven approach, the user n
Publikováno v:
Scopus
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Structural Health Monitoring
Structural Health Monitoring, SAGE Publications (UK and US), In press, ⟨10.1177/14759217211007956⟩
Pavlack, B, Paixão, J, Da Silva, S, Cunha, A & García Cava, D 2021, ' Polynomial Chaos-Kriging metamodel for quantification of the debonding area in large wind turbine blades ', Structural Health Monitoring . https://doi.org/10.1177/14759217211007956
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Structural Health Monitoring
Structural Health Monitoring, SAGE Publications (UK and US), In press, ⟨10.1177/14759217211007956⟩
Pavlack, B, Paixão, J, Da Silva, S, Cunha, A & García Cava, D 2021, ' Polynomial Chaos-Kriging metamodel for quantification of the debonding area in large wind turbine blades ', Structural Health Monitoring . https://doi.org/10.1177/14759217211007956
Made available in DSpace on 2021-06-25T10:30:19Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-01-01 This study aims to investigate the performance of a data-driven methodology for quantifying damage based on the use of a metamodel obtained f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f488547750d19069da1e3f209d49286
Publikováno v:
Journal of Intelligent Material Systems and Structures
Journal of Intelligent Material Systems and Structures, SAGE Publications, 2020, 32 (3), pp.284-295. ⟨10.1177/1045389x20963171⟩
Scopus
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Journal of Intelligent Material Systems and Structures, SAGE Publications, 2020, 32 (3), pp.284-295. ⟨10.1177/1045389x20963171⟩
Scopus
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Made available in DSpace on 2021-06-25T10:12:53Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-02-01 Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) This
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::765834785f945e5e29b7861066d84415
https://hal.archives-ouvertes.fr/hal-03268284
https://hal.archives-ouvertes.fr/hal-03268284
Publikováno v:
Lecture Notes in Mechanical Engineering ISBN: 9789811383304
When small damage is detected in its initial stage in a real structure, it is necessary to decide if the user must repair immediately or keep on safely monitoring it. Regarding the second choice, the present paper proposes a methodology for damage se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::96e077d4495d3ca8cb582b52b9fcff3b
https://doi.org/10.1007/978-981-13-8331-1_63
https://doi.org/10.1007/978-981-13-8331-1_63