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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Zonta, Daniele
University of Strathclyde
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (21/21 displayed)
- 2022Photon management in SiO2-SnO2:Yb3+ hybrid 1D microcavitycitations
- 2020Photonic glass ceramics based on SnO 2 nanocrystals: advances and perspectivescitations
- 2020Photonic glass ceramics based on SnO2 nanocrystals: advances and perspectivescitations
- 2020Photonic glass ceramics based on SnO2 nanocrystals: advances and perspectivescitations
- 2020Electromagnetic sensors for underwater scour monitoringcitations
- 2019SiO2-SnO2 Photonic Glass-Ceramicscitations
- 2019SiO 2 -SnO 2 photonic glass-ceramicscitations
- 2019SnO2:Er 3+ Glass-Ceramic Monoliths
- 2019SiO2-SnO2 transparent glass-ceramics activated by rare earth ionscitations
- 2018SiO2-SnO2 : Er3+ glass-ceramic monolithscitations
- 2018SiO2-SnO2citations
- 2018SiO2-SnO2:Er3+ transparent glass-ceramics: fabrication and photonic assessmentcitations
- 2017Sol–gel-derived glass-ceramic photorefractive films for photonic structurescitations
- 2017Finite difference analysis and experimental validation of 3D photonic crystals for structural health monitoringcitations
- 2016SiO2-SnO2:Er3+ transparent glass-ceramicscitations
- 2016Numerical Characterization of Mechanochromic Photonic Crystals for Structural Health Monitoring
- 2016SnO2 based glasses
- 2015Design and fabrication of mechanochromic photonic crystals as strain sensorcitations
- 2009Damage identification of a 3D full scale steel-concrete composite structure with partial-strength joints at different pseudo-dynamic load levelscitations
- 2009Damage identification of a 3D full scale steel-concrete composite structure with partial-strength joints at different pseudo-dynamic load levelscitations
- 2007Finite element model updating of a steel-concrete composite moment-resisting structure with partial strength joints
Places of action
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article
Damage identification of a 3D full scale steel-concrete composite structure with partial-strength joints at different pseudo-dynamic load levels
Abstract
<p>Partial-strength composite steel-concrete moment-resisting (MR) frame structures represent an open research field in seismic design from both a theoretical and an experimental standpoint. Among experimental techniques, vibration testing is a well-known and powerful technique for damage detection, localization and quantification, where actual modal parameters of a structure at different states can be determined from test data by using system identification methods. However, the identification of semi-rigid connections in framed structures is limited, and hence this paper focuses on a series of vibration experiments that were carried out on a realistic MR frame structure, following the application of pseudo-dynamic and quasi-static cyclic loadings at the European laboratory for structural assessment of the Joint Research Centre at Ispra, Italy, with the scope of understanding the structural behaviour and identifying changes in the dynamic response. From the forced vibration response, natural frequencies, damping ratios, modal displacements and rotations were extracted using the circle fitting technique. These modal parameters were used for local and global damage identification by updating a 3D finite element model of the intact structure. The identified results were then correlated with observations performed on the structure to understand further the underlying damage mechanisms. Finally, the latin hypercube sampling technique, a variant of the Monte Carlo method, was employed in order to study the sensitivity of the updated parameters of the 3D model to noise on the modal inputs. </p>