<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>2215-2652</journal-id>
<journal-title><![CDATA[Ingeniería]]></journal-title>
<abbrev-journal-title><![CDATA[Ingeniería]]></abbrev-journal-title>
<issn>2215-2652</issn>
<publisher>
<publisher-name><![CDATA[Universidad de Costa Rica]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2215-26522024000200038</article-id>
<article-id pub-id-type="doi">10.15517/ri.v34i2.58127</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Análisis modal operacional de un edificio de concreto reforzado mediante métodos subespaciales estocásticos]]></article-title>
<article-title xml:lang="en"><![CDATA[Operational modal analysis of a reinforced concrete building using stochastic subspace methods]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Liu-Kuan]]></surname>
<given-names><![CDATA[Yi Cheng]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Esquivel-Salas]]></surname>
<given-names><![CDATA[Luis Carlos]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad de Costa Rica  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Costa Rica</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad de Costa Rica  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Costa Rica</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2024</year>
</pub-date>
<volume>34</volume>
<numero>2</numero>
<fpage>38</fpage>
<lpage>53</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.sa.cr/scielo.php?script=sci_arttext&amp;pid=S2215-26522024000200038&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.sa.cr/scielo.php?script=sci_abstract&amp;pid=S2215-26522024000200038&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.sa.cr/scielo.php?script=sci_pdf&amp;pid=S2215-26522024000200038&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen El objetivo del presente estudio es la identificación de los parámetros modales operacionales de un edificio de concreto reforzado tipo marco de seis niveles. Esto mediante instrumentación con técnica de sensores ambulantes y comparando las dos principales variaciones que existen del método de identificación subespacial estocástico: el basado en covarianzas (SSI-COV) y el basado en datos (SSI-DATA). Dicha experimentación se realiza con el fin de contrastar su eficacia para identificar el sistema dinámico de edificios de concreto a partir de pruebas de vibraciones ambientales. La instrumentación del edificio fue realizada con cuatro acelerógrafos triaxiales. Uno de ellos se mantuvo fijo en el piso superior como nodo de referencia para el empate de formas modales. Los otros tres se movilizaron de piso en piso para la recuperación de la forma modal operacional completa del edificio a lo largo de los puntos de observación. Así, se obtuvo un total de seis configuraciones de prueba, con una duración de 20 min cada una. Se identificaron nueve modos en total con el método SSI-COV, de forma que se pudo empatar y recuperar exitosamente las formas modales completas. No obstante, no fue posible identificar modos correctamente con el método SSI-DATA, para datos recolectados en los pisos inferiores; por lo que tampoco fue posible recuperar las formas modales completas para el edificio. En este caso, se concluye que SSI-COV tiene mejor capacidad para la identificación modal a partir de vibraciones ambientales recolectadas vía acelerógrafos ambulantes en edificios.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract The objective of this study is to identify the operational modal parameters of a six-story reinforced concrete frame building. This is done through roving sensor instrumentation technique while comparing the two main variations of the stochastic subspace identification method: covariance-based (SSI-COV) and data-based (SSI-DATA) The experimentation is executed in order to contrast their effectiveness to identify the dynamic system of concrete buildings from ambient vibration tests. The instrumentation of the building was carried out with four triaxial strong motion accelerographs. One stayed fixed on the top floor as a reference node for modal shape merging. The other three were moved from floor to floor to recover the operational modal shapes throughout the building at the observation points. This resulted in a total of six test configurations that lasted 20 min each. A total of nine modes were identified with the SSI-COV method, with successful merging and recovering of their complete modal shapes. However, modes could not be identified correctly with SSI-DATA, for data collected on the lower floors, so it was not possible to recover the complete mode shapes of the building. In this case, it is concluded that SSI-COV has better capacity for modal identification from ambient vibrations collected via roving accelerographs in buildings.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Ambient vibrations]]></kwd>
<kwd lng="en"><![CDATA[buildings]]></kwd>
<kwd lng="en"><![CDATA[operational modal analysis]]></kwd>
<kwd lng="en"><![CDATA[stochastic subspace identification]]></kwd>
<kwd lng="en"><![CDATA[structural dynamics]]></kwd>
<kwd lng="es"><![CDATA[Análisis modal operacional]]></kwd>
<kwd lng="es"><![CDATA[dinámica de estructuras]]></kwd>
<kwd lng="es"><![CDATA[edificio]]></kwd>
<kwd lng="es"><![CDATA[identificación subespacial estocástica]]></kwd>
<kwd lng="es"><![CDATA[vibraciones ambientales]]></kwd>
</kwd-group>
</article-meta>
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