2014
DOI: 10.1061/(asce)st.1943-541x.0001002
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Investigation of Uncertainty Changes in Model Outputs for Finite-Element Model Updating Using Structural Health Monitoring Data

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Cited by 28 publications
(13 citation statements)
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“…Although GPM has become an attractive metamodeling tool for various engineering applications, little work has been done in applying GPM to FEMU. To our best knowledge, the limited research exploring the application of GPM to FEMU can be found in the works of Khodaparast et al [22], Erdogan et al [23], and Wan and Ren [24]. This study proposes a residual-based GPM framework for FEMU, which is different from the traditional metamodeling approach.…”
Section: Introductionmentioning
confidence: 89%
“…Although GPM has become an attractive metamodeling tool for various engineering applications, little work has been done in applying GPM to FEMU. To our best knowledge, the limited research exploring the application of GPM to FEMU can be found in the works of Khodaparast et al [22], Erdogan et al [23], and Wan and Ren [24]. This study proposes a residual-based GPM framework for FEMU, which is different from the traditional metamodeling approach.…”
Section: Introductionmentioning
confidence: 89%
“…For example, the reasons why co-seismic displacements derived from several nearly collocated sensors during the 2003 Chi Chi earthquake in Taiwan are practically incompatible to each other [16] are not clear. This is to a major degree due to the fact that various metrological aspects of accelerometer arrays, and especially their error properties, have not been studied in detail, both from the computational and experimental points of view; just to notice that the only experimental accelerometer array known in Civil Engineering is focusing on effective updating of structural models [10,17] and not on the error properties (noise) of the array sensors. While there have been certain studies of errors of isolated accelerometers [18,19] most research has been focused on the problem of correction of errors in displacements derived from acceleration measurements (drift; see [20][21][22][23][24][25][26][27][28].…”
Section: Introductionmentioning
confidence: 97%
“…Erdogan et al [31] later showed the application of fuzzy model updating to the problem of damage detection. In the same context, a method was proposed by Liu and Duan [32] for fuzzy finite element (FE) model updating. In this method, fuzzy models are used to represent the uncertainty in the parameters of the model, and fuzzy model updating is carried out by fuzzifying a traditional objective function.…”
Section: Introductionmentioning
confidence: 99%