Seismic vulnerability assessment of a masonry structure and an FRP-strengthening proposal
This paper reports an approach to seismic performance evaluation for masonry structures using linear, nonlinear, and kinematic limit analyses. Considering the analysis results, a retrofitting proposal using fiber-reinforced polymer composites was made. All examinations and strengthening intervention...
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Veröffentlicht in: | Case Studies in Construction Materials 2022-12, Vol.17, p.e01680, Article e01680 |
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Sprache: | eng |
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Zusammenfassung: | This paper reports an approach to seismic performance evaluation for masonry structures using linear, nonlinear, and kinematic limit analyses. Considering the analysis results, a retrofitting proposal using fiber-reinforced polymer composites was made. All examinations and strengthening interventions were carried out for a masonry restaurant building currently in use. First, a structural model of the building was prepared based on the current seismic codes. In the second stage, the seismic performance of the building was determined using global and local analysis approaches. The shear force and relative story drift ratios were compared using the limit values given in the seismic code. In addition, local failure mechanisms were determined. Accordingly, the structural strength of the building was found to be insufficient. Therefore, a fiber-reinforced polymer -strengthened design proposal was presented. In order to determine the effectiveness of the proposed strengthening, linear and nonlinear analyses were made based on the strengthened state. In this study, the analysis methods used to assess the seismic performance of a masonry building and strengthening proposal can make significant contributions to construction engineers and architects for the rehabilitation of masonry structures.
•This paper focuses on the seismic performance analyses of a historical masonry building.•Retrofitting proposal is presented for the building based on multi level analyses.•Effective of the retrofitting proposal is determined through numerical analyses. |
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ISSN: | 2214-5095 2214-5095 |
DOI: | 10.1016/j.cscm.2022.e01680 |