Dynamic response and vibration signature assessment of SDOF steel system using RISAM shaking table

Civil engineering structures face major challenges, particularly earthquakes, which are random phenomena in their intensity and frequency content. The seismic response of structures depends largely on the intensity of an earthquake and especially on its frequency content. Structural Health Monitoring (SHM) is a relevant tool for assessing the dynamic behavior of structures subjected to seismic excitations. This is achieved by using experimental measurements of structural dynamic parameters. The main objective of this study is to identify the vibration signature of a single-degree-of-freedom SDOF steel system. Based on the laws of similarity, a 1:6 reduced-scale model is developed. In this context, dynamic experiments using the shaking table of the RISAM laboratory (Risk Assessment and Management: University of Tlemcen) are carried out to determine the structural dynamic parameters of this steel system. This is achieved through experimental determination of natural frequency and damping of the reduced model. Acceleration and displacement measurements are also established. The experimental estimation of damping is established using the logarithmic decrement method. Several dynamic analyses are carried out based on the finite elements model of the reduced steel system model. The obtained results show that the approach used to determine the dynamic parameters of this reduced model leads to realistic results. On the other hand, a perfect concordance between the numerical and experimental results has been approved.

Authors

Publication Details

Journal
STUDIES IN ENGINEERING AND EXACT SCIENCES
Published
2024-12-04
DOI
https://doi.org/10.54021/seesv5n2-619
Primary Topic
Structural Health Monitoring Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Dynamic response and vibration signature assessment of SDOF steel system using RISAM shaking table

Rachid Derbal, Nassima Benmansour, Abderaouf Daci, Abdellatif Bentifour
STUDIES IN ENGINEERING AND EXACT SCIENCES
Structural Health Monitoring Techniques
article

Dynamic response and vibration signature assessment of SDOF steel system using RISAM shaking table

Rachid Derbal, Nassima Benmansour, Abderaouf Daci, Abdellatif Bentifour
article en

Abstract

Civil engineering structures face major challenges, particularly earthquakes, which are random phenomena in their intensity and frequency content. The seismic response of structures depends largely on the intensity of an earthquake and especially on its frequency content. Structural Health Monitoring (SHM) is a relevant tool for assessing the dynamic behavior of structures subjected to seismic excitations. This is achieved by using experimental measurements of structural dynamic parameters. The main objective of this study is to identify the vibration signature of a single-degree-of-freedom SDOF steel system. Based on the laws of similarity, a 1:6 reduced-scale model is developed. In this context, dynamic experiments using the shaking table of the RISAM laboratory (Risk Assessment and Management: University of Tlemcen) are carried out to determine the structural dynamic parameters of this steel system. This is achieved through experimental determination of natural frequency and damping of the reduced model. Acceleration and displacement measurements are also established. The experimental estimation of damping is established using the logarithmic decrement method. Several dynamic analyses are carried out based on the finite elements model of the reduced steel system model. The obtained results show that the approach used to determine the dynamic parameters of this reduced model leads to realistic results. On the other hand, a perfect concordance between the numerical and experimental results has been approved.

STUDIES IN ENGINEERING AND EXACT SCIENCESVol. 5(2)
Sustainable cities and communities
Openalex Percentile: Top 75%
Structural Health Monitoring Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.