Laboratory evaluation of a fully automatic modal identification algorithm using automatic hierarchical clustering approach
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Zonno, Giacomo
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Laboratory evaluation of a fully automatic modal identification algorithm using automatic hierarchical clustering approach
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Abstract
Earth has been a traditional building material to construct structures in many different continents. In particular, adobe buildings are
widely diffused in South America, and in Peru where form part of the cultural identity of the nation. Nowadays, the knowledge of
existing adobe buildings is far from a complete understanding of the constructive system and a structural health monitoring (SHM)
can quantify and reduce uncertainties regarding their structural performance without causing damage to the buildings. In this
process, the implementation of automatic tools for feature extraction of modal parameters is desirable. In particular, the automation
is important because, during a long-term monitoring, a huge amount of data is recorded and the direct check of the data of the user
is not possible. The present work is focused on the development of an automated procedure for managing the results obtained from
the parametric identification method, in particular from the Data-Driven Stochastic Subspace Identification method, which requires
an automatic interpretation of stabilization diagrams. The work presents a fully automated modal identification methodology based
on the following steps: (i) digital signal pre-processing of the recorded data; (ii) modal parameter identification using models with
varying dimensions; (iii) automatic analysis of the stabilization diagram with the application of soft and hard validation criteria and
the use of hierarchical clustering approach to eliminate the spurious modes; and (iv) automatic choice of the most representative
values of the estimated parameters of each clustered mode: natural frequency, damping and mode shape. The developed algorithm
was firstly tested with an inverted steel pendulum to check the accuracy and sensitivity, and subsequently, an earthen wall built in
PUCP Structure Laboratory was analysed to determine its dynamic behaviour. The developed algorithm shows high percentages
of detected frequencies and high sensitivity to the environmental and structural changes.
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URI: https://repositorio.uchile.cl/handle/2250/168988
DOI: 10.1016/j.proeng.2017.09.219
ISSN: 18777058
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Procedia Engineering 199 (2017) 882–887
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