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The capacity spectrum analysis is a widely used technique in earthquake engineering to evaluate the seismic performance of reinforced concrete structures. In this study, the capacity spectrum analysis was applied to compare the seismic behavior of reinforced concrete structures with and without shear walls, both in plan symmetry and asymmetry. The study utilized a numerical model of a 10-story reinforced concrete building, designed according to the Indian Standard Code of Practice for seismic design. The model was subjected to a set of ground motion records with different seismic intensities, and the seismic response was evaluated using the capacity spectrum analysis.
The results of the study revealed that the presence of shear walls significantly enhanced the seismic performance of the building, reducing the displacement and acceleration response to seismic loads. Furthermore, the presence of plan symmetry in the building layout resulted in improved seismic performance compared to asymmetric layouts. The study also highlights the importance of considering the higher modes of vibration in the capacity spectrum analysis, especially for asymmetric structures, as the higher modes significantly contribute to the seismic response. Overall, this study demonstrates that the capacity spectrum analysis is a useful tool for evaluating the seismic performance of reinforced concrete structures with and without shear walls, and can aid in the design of more earthquake-resistant structures.
Keywords:
Capacity Spectrum, Shear Wall, Symmetrical and Asymmetrical Building, Pushover Curve, Base Shear
Cite Article:
"CAPACITY SPECTRUM ANALYSIS OF R.C.C STRUCTURE WITH & WITHOUT SHEAR WALL IN PLAN SYMMETRY & ASYMMETRY", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 4, page no.392 - 412, April-2023, Available :http://www.ijrti.org/papers/IJRTI2304066.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator