APPLICATION OF AUTO-REGRESSIVE MOVING-AVERAGE (ARMA) METHOD FOR STRUCTURAL DYNAMIC MODAL PARAMETERS IDENTIFICATION IN TIME DOMAIN

Dynamic loading test is one of the testing methods to obtain structural dynamic response. Structural dynamic modal parameters can be obtained through post processing of dynamic structure response data using modal analysis method. Modal analysis method can be classified into two, namely, modal analys...

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Main Author: Bernadus Nicholas, Ignatius
Format: Theses
Language:Indonesia
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Online Access:https://digilib.itb.ac.id/gdl/view/66697
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:66697
spelling id-itb.:666972022-07-11T14:32:46ZAPPLICATION OF AUTO-REGRESSIVE MOVING-AVERAGE (ARMA) METHOD FOR STRUCTURAL DYNAMIC MODAL PARAMETERS IDENTIFICATION IN TIME DOMAIN Bernadus Nicholas, Ignatius Teknik sipil Indonesia Theses Modal analysis, Auto Regressive Moving Average, Random Decrement Technique, Peak Picking, Dynamic Modal Parameters INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/66697 Dynamic loading test is one of the testing methods to obtain structural dynamic response. Structural dynamic modal parameters can be obtained through post processing of dynamic structure response data using modal analysis method. Modal analysis method can be classified into two, namely, modal analysis in frequency domain and modal analysis in time domain. Auto Regressive Moving Average (ARMA) method is one of modal analysis method in time domain. ARMA method has advantages compared to conventional Peak Picking method, where analysis methods can use response data either from known excitation sources or from environmental excitation. In this study, the modal parameters comparison between ARMA method, Peak Picking method, and also Random Decrement Technique (RDT) method will be performed with Finite Element Model result as a validation. Natural frequency, damping ratio, and mode shapes are the structural dynamic modal parameters that will be compared. The analyzed structures are Elevated LRT Bridge with ambient excitation and Semanggi Bridge with impuls excitation. The identification process is done bt selecting and filtering the random response data, then the RDT process is done to obtain the free response data, then the structural dynamic modal parameters is obtained through ARMA analysis, and finally a comparison and validation of all methods with Finite Element Model are carried out. Based on analysis results, the natural frequency obtained with ARMA method has a smaller margin error of natural frequency from Finite Element Model compared to the results from conventional Peak Picking method and RDT method. The structure mode shape from the ARMA method is also identical with Finite Element Model result. However, structural dynamic modal parameters results from ARMA method are strongly dependent with the order value of the ARMA equation. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
topic Teknik sipil
spellingShingle Teknik sipil
Bernadus Nicholas, Ignatius
APPLICATION OF AUTO-REGRESSIVE MOVING-AVERAGE (ARMA) METHOD FOR STRUCTURAL DYNAMIC MODAL PARAMETERS IDENTIFICATION IN TIME DOMAIN
description Dynamic loading test is one of the testing methods to obtain structural dynamic response. Structural dynamic modal parameters can be obtained through post processing of dynamic structure response data using modal analysis method. Modal analysis method can be classified into two, namely, modal analysis in frequency domain and modal analysis in time domain. Auto Regressive Moving Average (ARMA) method is one of modal analysis method in time domain. ARMA method has advantages compared to conventional Peak Picking method, where analysis methods can use response data either from known excitation sources or from environmental excitation. In this study, the modal parameters comparison between ARMA method, Peak Picking method, and also Random Decrement Technique (RDT) method will be performed with Finite Element Model result as a validation. Natural frequency, damping ratio, and mode shapes are the structural dynamic modal parameters that will be compared. The analyzed structures are Elevated LRT Bridge with ambient excitation and Semanggi Bridge with impuls excitation. The identification process is done bt selecting and filtering the random response data, then the RDT process is done to obtain the free response data, then the structural dynamic modal parameters is obtained through ARMA analysis, and finally a comparison and validation of all methods with Finite Element Model are carried out. Based on analysis results, the natural frequency obtained with ARMA method has a smaller margin error of natural frequency from Finite Element Model compared to the results from conventional Peak Picking method and RDT method. The structure mode shape from the ARMA method is also identical with Finite Element Model result. However, structural dynamic modal parameters results from ARMA method are strongly dependent with the order value of the ARMA equation.
format Theses
author Bernadus Nicholas, Ignatius
author_facet Bernadus Nicholas, Ignatius
author_sort Bernadus Nicholas, Ignatius
title APPLICATION OF AUTO-REGRESSIVE MOVING-AVERAGE (ARMA) METHOD FOR STRUCTURAL DYNAMIC MODAL PARAMETERS IDENTIFICATION IN TIME DOMAIN
title_short APPLICATION OF AUTO-REGRESSIVE MOVING-AVERAGE (ARMA) METHOD FOR STRUCTURAL DYNAMIC MODAL PARAMETERS IDENTIFICATION IN TIME DOMAIN
title_full APPLICATION OF AUTO-REGRESSIVE MOVING-AVERAGE (ARMA) METHOD FOR STRUCTURAL DYNAMIC MODAL PARAMETERS IDENTIFICATION IN TIME DOMAIN
title_fullStr APPLICATION OF AUTO-REGRESSIVE MOVING-AVERAGE (ARMA) METHOD FOR STRUCTURAL DYNAMIC MODAL PARAMETERS IDENTIFICATION IN TIME DOMAIN
title_full_unstemmed APPLICATION OF AUTO-REGRESSIVE MOVING-AVERAGE (ARMA) METHOD FOR STRUCTURAL DYNAMIC MODAL PARAMETERS IDENTIFICATION IN TIME DOMAIN
title_sort application of auto-regressive moving-average (arma) method for structural dynamic modal parameters identification in time domain
url https://digilib.itb.ac.id/gdl/view/66697
_version_ 1822005233179426816