Gaussian-filtered Horizontal Motion (GHM) plots of non-synchronous ambient microtremors for the identification of flexural and torsional modes of a building

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985891%3A_____%2F18%3A00496667" target="_blank" >RIV/67985891:_____/18:00496667 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1016/j.soildyn.2018.05.018" target="_blank" >http://dx.doi.org/10.1016/j.soildyn.2018.05.018</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.soildyn.2018.05.018" target="_blank" >10.1016/j.soildyn.2018.05.018</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Gaussian-filtered Horizontal Motion (GHM) plots of non-synchronous ambient microtremors for the identification of flexural and torsional modes of a building

Popis výsledku v původním jazyce

It is often assumed that, in order to identify flexural and torsional vibration modes of a building, it is necessary to record synchronous data from a series of sensors deployed at different points. In the present paper, we present a simple and straightforward methodology to unambiguously identify flexural and torsional modes through the analysis of non synchronous data collected by a single sensor placed in succession at different points of the structure. This is accomplished by recording few minutes of ambient microtremor data by means of a 3-component geophone placed at different points of the same floor. Amplitude spectra are computed for determining the vibration frequencies. Successively, in order to identify the type of motion, we apply a series of narrow Gaussian filters centered at the previously-identified frequencies. By plotting the horizontal motion for each considered point, we are then able to simply and unambiguously determine whether the motion of a given frequency refers to a flexural or torsional mode. If, for a given frequency, the motion at two (or more) points has the same direction and similar amplitude, that frequency represents a flexural mode, while in case the directions and the amplitude are different, elementary considerations indicate that this is predominantly torsional. The methodology is first introduced by considering a case study where synchronous microtremor data are also recorded. In a second case study, the method is applied to non-synchronous microtremor data collected at a 25 storey building and results are compared with the numerical simulations performed by means of the Finite Element Method (FEM).n

Název v anglickém jazyce

Gaussian-filtered Horizontal Motion (GHM) plots of non-synchronous ambient microtremors for the identification of flexural and torsional modes of a building

Popis výsledku anglicky

It is often assumed that, in order to identify flexural and torsional vibration modes of a building, it is necessary to record synchronous data from a series of sensors deployed at different points. In the present paper, we present a simple and straightforward methodology to unambiguously identify flexural and torsional modes through the analysis of non synchronous data collected by a single sensor placed in succession at different points of the structure. This is accomplished by recording few minutes of ambient microtremor data by means of a 3-component geophone placed at different points of the same floor. Amplitude spectra are computed for determining the vibration frequencies. Successively, in order to identify the type of motion, we apply a series of narrow Gaussian filters centered at the previously-identified frequencies. By plotting the horizontal motion for each considered point, we are then able to simply and unambiguously determine whether the motion of a given frequency refers to a flexural or torsional mode. If, for a given frequency, the motion at two (or more) points has the same direction and similar amplitude, that frequency represents a flexural mode, while in case the directions and the amplitude are different, elementary considerations indicate that this is predominantly torsional. The methodology is first introduced by considering a case study where synchronous microtremor data are also recorded. In a second case study, the method is applied to non-synchronous microtremor data collected at a 25 storey building and results are compared with the numerical simulations performed by means of the Finite Element Method (FEM).n

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20101 - Civil engineering

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Soil dynamics and earthquake engineering

ISSN

0267-7261

e-ISSN

—

Svazek periodika

112

Číslo periodika v rámci svazku

SEP

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

13

Strana od-do

243-255

Kód UT WoS článku

000436912600022

EID výsledku v databázi Scopus

—