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<p>Well-characterized ground motion records are the foundation of seismic structural analysis and performance-based earthquake engineering (PBEE). This study presents a comprehensive statistical comparative analysis of nine widely utilized benchmark recordings, encompassing their seismological characteristics, frequency domain properties, and engineering applications. Based on extensive statistical analysis of peak ground characteristics, spectral characteristics, and duration measures, this research provides quantitative guidelines for ground motion selection in structural analysis. The data indicates significant variations in spectral content (COV = 0.68 for spectral acceleration at T = 1.0s), duration characteristics (COV = 0.91), and near-fault effects among the selected records. Statistical correlations between peak ground parameters and structural response indices are established, with correlation coefficients ranging from 0.42 to 0.85 depending on structural period and damping. The study identifies systematic biases in current record selection practice and develops a probabilistic framework for suite construction. Results indicate that application of individual benchmark records can introduce substantial systematic error in demand prediction, with structural base shear estimates varying by up to 340% among different records for identical structures. This research provides designers with quantitative parameters for informed ground motion selection and demonstrates the importance of probabilistic approaches in modern seismic analysis.</p>

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Benchmark strong ground motion records: statistical analysis of response variability and selection bias

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年9月17日

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  • Hamdy A. Elgohary

摘要

Well-characterized ground motion records are the foundation of seismic structural analysis and performance-based earthquake engineering (PBEE). This study presents a comprehensive statistical comparative analysis of nine widely utilized benchmark recordings, encompassing their seismological characteristics, frequency domain properties, and engineering applications. Based on extensive statistical analysis of peak ground characteristics, spectral characteristics, and duration measures, this research provides quantitative guidelines for ground motion selection in structural analysis. The data indicates significant variations in spectral content (COV = 0.68 for spectral acceleration at T = 1.0s), duration characteristics (COV = 0.91), and near-fault effects among the selected records. Statistical correlations between peak ground parameters and structural response indices are established, with correlation coefficients ranging from 0.42 to 0.85 depending on structural period and damping. The study identifies systematic biases in current record selection practice and develops a probabilistic framework for suite construction. Results indicate that application of individual benchmark records can introduce substantial systematic error in demand prediction, with structural base shear estimates varying by up to 340% among different records for identical structures. This research provides designers with quantitative parameters for informed ground motion selection and demonstrates the importance of probabilistic approaches in modern seismic analysis.