16 resultados para Higher-order functions
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- ABACUS. Repositorio de Producción Científica - Universidad Europea (1)
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- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (10)
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- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (19)
- Archimer: Archive de l'Institut francais de recherche pour l'exploitation de la mer (1)
- Aston University Research Archive (65)
- Biblioteca de Teses e Dissertações da USP (2)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (10)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (37)
- Biblioteca Virtual del Sistema Sanitario Público de Andalucía (BV-SSPA), Junta de Andalucía. Consejería de Salud y Bienestar Social, Spain (1)
- Blue Tiger Commons - Lincoln University - USA (1)
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- Brock University, Canada (9)
- Bucknell University Digital Commons - Pensilvania - USA (3)
- Bulgarian Digital Mathematics Library at IMI-BAS (10)
- CentAUR: Central Archive University of Reading - UK (37)
- CiencIPCA - Instituto Politécnico do Cávado e do Ave, Portugal (2)
- Cochin University of Science & Technology (CUSAT), India (9)
- Collection Of Biostatistics Research Archive (2)
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- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (17)
- DRUM (Digital Repository at the University of Maryland) (4)
- Duke University (4)
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- Glasgow Theses Service (1)
- Greenwich Academic Literature Archive - UK (1)
- Hospitais da Universidade de Coimbra (1)
- Institute of Public Health in Ireland, Ireland (5)
- Instituto Politécnico do Porto, Portugal (26)
- Instituto Superior de Psicologia Aplicada - Lisboa (1)
- Iowa Publications Online (IPO) - State Library, State of Iowa (Iowa), United States (2)
- Lume - Repositório Digital da Universidade Federal do Rio Grande do Sul (1)
- Martin Luther Universitat Halle Wittenberg, Germany (2)
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- National Center for Biotechnology Information - NCBI (41)
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- Repositório Científico da Universidade de Évora - Portugal (1)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (16)
- Repositório da Produção Científica e Intelectual da Unicamp (5)
- Repositório digital da Fundação Getúlio Vargas - FGV (6)
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- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (94)
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- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (13)
- Scielo Saúde Pública - SP (15)
- Scottish Institute for Research in Economics (SIRE) (SIRE), United Kingdom (6)
- Universidad de Alicante (12)
- Universidad del Rosario, Colombia (4)
- Universidad Politécnica de Madrid (34)
- Universidade Complutense de Madrid (3)
- Universidade do Minho (7)
- Universidade dos Açores - Portugal (1)
- Universidade Federal do Pará (2)
- Universidade Federal do Rio Grande do Norte (UFRN) (9)
- Universitat de Girona, Spain (4)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (8)
- Université de Lausanne, Switzerland (61)
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- WestminsterResearch - UK (5)
- Worcester Research and Publications - Worcester Research and Publications - UK (1)
Resumo:
As it is widely known, in structural dynamic applications, ranging from structural coupling to model updating, the incompatibility between measured and simulated data is inevitable, due to the problem of coordinate incompleteness. Usually, the experimental data from conventional vibration testing is collected at a few translational degrees of freedom (DOF) due to applied forces, using hammer or shaker exciters, over a limited frequency range. Hence, one can only measure a portion of the receptance matrix, few columns, related to the forced DOFs, and rows, related to the measured DOFs. In contrast, by finite element modeling, one can obtain a full data set, both in terms of DOFs and identified modes. Over the years, several model reduction techniques have been proposed, as well as data expansion ones. However, the latter are significantly fewer and the demand for efficient techniques is still an issue. In this work, one proposes a technique for expanding measured frequency response functions (FRF) over the entire set of DOFs. This technique is based upon a modified Kidder's method and the principle of reciprocity, and it avoids the need for modal identification, as it uses the measured FRFs directly. In order to illustrate the performance of the proposed technique, a set of simulated experimental translational FRFs is taken as reference to estimate rotational FRFs, including those that are due to applied moments.