@Article{RibeiroRittCampHers:2018:DaIdMu,
author = "Ribeiro, Ricardo F. and Ritto, Thiago G. and Campos Velho, Haroldo
Fraga de and Herskovits, Jos{\'e}",
affiliation = "{Universidade Federal do Rio de Janeiro (UFRJ)} and {Universidade
Federal do Rio de Janeiro (UFRJ)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Universidade Federal do Rio de
Janeiro (UFRJ)}",
title = "Damage identification in a Multi-DOF system under uncertainties
using optimization algorithms",
journal = "Journal of Applied and Computational Mechanics",
year = "2018",
volume = "4",
number = "4",
pages = "365--374",
keywords = "Damage identification, Optimization, Uncertainties.",
abstract = "In this study, four optimization algorithms are applied to
identify the damage in a multi-DOF dynamical system composed of
masses, springs, and dampers. The damage is introduced
artificially by choosing a lower value for the stiffness. The
applied algorithms include Nelder-Mead Simplex, BFGS Quasi-Newton,
interior point, and sequential quadratic programming - SQP. In
addition, some different strategies to identify damage are
applied. First, a deterministic analysis is performed to identify
the damage; i.e, the values of the stiffnesses. Then, random
forces are considered, and finally, the stiffness values are
considered uncertain and the different strategies are compared.",
doi = "10.22055/JACM.2018.25033.1224",
url = "http://dx.doi.org/10.22055/JACM.2018.25033.1224",
issn = "2383-4536",
language = "en",
targetfile = "ribeiro_damage.pdf",
urlaccessdate = "02 maio 2024"
}