Scaling, Matching, and Variability: Effects of Ground Motion Selection in Performance Uncertainty

Details

• Creators:
  Yang, Ya-Heng ; Becker, Tracy C. ; Ruiz, Maria Camila Lopez ; Yust, Michael ; Williams, Tessa ; Murphy, Debra
• Corporate Creators:
  University of California, Berkeley ; Slate Geotechnical Consultants
• Corporate Contributors:
  California. Department of Transportation. Department of Research and Innovation
• Subject/TRT Terms:
  • Ground transportation
  • Amplitude
  • Concrete scaling
  • Spectrum analysis
  • Performance
  • Bridges
  • Methodology
  • Abutments
  • Piers
  • Ground motion selection
  More +
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Corporate Publisher:
  California. Department of Transportation. Department of Research, Innovation and System Information
• Abstract:
  The selection of ground motions for time series analysis of structures remains a topic of considerable debate. While both time domain method and spectral matching are permitted by the Caltrans Seismic Design Criteria (SDC), the implications of the choice are not fully understood. To explore and compare how these different modification methodologies affect the estimation of means and distributions of bridge response parameters, two highway bridges in California were analyzed using suites of scaled and spectrally matched motions developed in accordance with Caltrans SDC. Hazard curves for engineering demand parameters (EDPs) are also developed using conditional scenario spectra (CSS) framework for each bridge to be used as a metric to evaluate the results. The results demonstrate that the spectral matching methodology consistently yields lower bias and variability in EDP predictions compared to amplitude scaling for both bridge models and at both sites. Specifically, spectral matching produced means closer to the CSS benchmark and more consistent predictions of peak drift ratios across suites.
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/89082/dot_89082_DS1.pdf
• File Type:
  [PDF - 5.78 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:5fafb95412d26a0b288eb83a7e209b96614c951ab5de295a45e8f6b74db69d350b651649a2a0351116fe8c63ccfaacd245ed6a4b34ca649124d51f4b25672b65