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<p>This study presents an evaluative assessment of a Spectrum-Based Pushover Analysis (SPA) procedure for estimating seismic demand in reinforced-concrete high-rise buildings. Two moment-resisting frame structures, namely a 10-storey and a 17-storey building, are analysed using Modal Pushover Analysis (MPA), Consecutive Modal Pushover Analysis (CMPA), the SPA method applied in this study, and Nonlinear Response History Analysis (NLRHA), which serves as the benchmark. Inter-storey drift ratios and plastic hinge rotations are compared across the full building height to assess the accuracy of seismic demand predictions. The results indicate that SPA provides comparatively closer agreement with NLRHA than the other simplified methods considered. For the 17-storey frame, SPA achieves drift and hinge rotation predictions within 5–10% of NLRHA, whereas MPA and CMPA show deviations exceeding 20–70% at several levels. A similar trend is observed for the 10-storey building, where SPA maintains errors within ± 2% relative to NLRHA and closely reproduces deformation patterns and hinge progression. These findings highlight the capability of spectrum-consistent modal scaling in improving the representation of higher-mode contributions in tall buildings. The outcomes are consistent with recent studies on enhanced spectrum-driven pushover procedures and suggest that SPA can provide a computationally efficient and reliable alternative to NLRHA for the investigated case-study buildings in performance-based seismic assessment. The method provides a practical framework for rapid, reasonably accurate seismic demand estimation in modern tall-building design.</p>

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Evaluation of an advanced spectrum-based pushover analysis for seismic demand estimation and performance assessment of high-rise reinforced concrete structures

  • 期刊论文

  • 发表日期：

    2026年3月31日

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  • Sourabh R. Pawar,
  • Vijaykumar G. Sawant,
  • Nikhil S. Bembade

摘要

This study presents an evaluative assessment of a Spectrum-Based Pushover Analysis (SPA) procedure for estimating seismic demand in reinforced-concrete high-rise buildings. Two moment-resisting frame structures, namely a 10-storey and a 17-storey building, are analysed using Modal Pushover Analysis (MPA), Consecutive Modal Pushover Analysis (CMPA), the SPA method applied in this study, and Nonlinear Response History Analysis (NLRHA), which serves as the benchmark. Inter-storey drift ratios and plastic hinge rotations are compared across the full building height to assess the accuracy of seismic demand predictions. The results indicate that SPA provides comparatively closer agreement with NLRHA than the other simplified methods considered. For the 17-storey frame, SPA achieves drift and hinge rotation predictions within 5–10% of NLRHA, whereas MPA and CMPA show deviations exceeding 20–70% at several levels. A similar trend is observed for the 10-storey building, where SPA maintains errors within ± 2% relative to NLRHA and closely reproduces deformation patterns and hinge progression. These findings highlight the capability of spectrum-consistent modal scaling in improving the representation of higher-mode contributions in tall buildings. The outcomes are consistent with recent studies on enhanced spectrum-driven pushover procedures and suggest that SPA can provide a computationally efficient and reliable alternative to NLRHA for the investigated case-study buildings in performance-based seismic assessment. The method provides a practical framework for rapid, reasonably accurate seismic demand estimation in modern tall-building design.