2011
DOI: 10.1007/978-1-4419-9316-8_31
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Operational Modal Analysis of a Historic Tower in Bari

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Cited by 23 publications
(22 citation statements)
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“…In this perspective an extensive testing campaign and an accurate dynamic identification will give more realistic results of the level of damage. Applications are found in [14][15][16][17][18][19] where EFDD and SSI methods and Peak Picking technique for output-only signals are used to identify the parameters of the structures.…”
Section: Mode Shapes Curvature Methodsmentioning
confidence: 99%
“…In this perspective an extensive testing campaign and an accurate dynamic identification will give more realistic results of the level of damage. Applications are found in [14][15][16][17][18][19] where EFDD and SSI methods and Peak Picking technique for output-only signals are used to identify the parameters of the structures.…”
Section: Mode Shapes Curvature Methodsmentioning
confidence: 99%
“…For existing buildings it is very difficult to assume finite element models (FEMs) in a nonlinear analysis, which could exactly describe the behavior of the real structure [7][8][9][10][11]. To this aim identification techniques based on non-destructive experimental tests are often used [12][13][14][15] The difficulties of determining the experimental data required for FE modeling in nonlinear analyses are overcome by the Italian Code NTC 08 [16,17] that uses tabulated values (including wide enough ranges of typologies) instead of a few acquired experimental data.…”
Section: Introductionmentioning
confidence: 99%
“…After that, the results obtained from the measurements can be considered almost accurate [1]. The application of well-known different identification techniques include: The Crystal-Clear Stochastic Subspace Identification (CC-SSI) method [2], the Stochastic Subspace Identification (SSI) method [3], and the Enhanced Frequency Domain Decomposition (EFDD) method [4]. The use of the ambient vibration measurements has been proven to be relatively fast, cost reducing and economically efficient for the determination of dynamic characteristics [5].…”
Section: Introductionmentioning
confidence: 99%