Bayesian Model Updating for Soil-Structure System Identification Using Forced-Vibration Test Measurements
Publication: Geo-Congress 2024
ABSTRACT
The state-of-practice soil-structure interaction (SSI) analysis is based on analytical models with simplifying assumptions regarding the soil-structure system behavior. There is, however, a lack of validation studies of the available analytical solutions. In this study, we propose validating the existing analytical models through identifying soil-structure systems, using their real-world measured responses, and comparing the identified models to their analytical counterparts. The proposed soil-structure system identification framework is based on a Bayesian time-domain model updating and parameter estimation technique. In this paper, the proposed framework is employed for identifying a test structure located in Garner Valley, California, using its recorded response during a forced-vibration test. The estimated values of the soil-structure model parameters show a notable discrepancy with their analytical equivalents. The potential sources of this observed discrepancy are discussed, and a refined solution is proposed.
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Information & Authors
Information
Published In
Geo-Congress 2024
Pages: 277 - 287
History
Published online: Feb 22, 2024
ASCE Technical Topics:
- Analysis (by type)
- Bayesian analysis
- Continuum mechanics
- Dynamics (solid mechanics)
- Engineering fundamentals
- Engineering mechanics
- Geomechanics
- Geotechnical engineering
- Mathematics
- Methodology (by type)
- Motion (dynamics)
- Parameters (statistics)
- Research methods (by type)
- Soil dynamics
- Soil mechanics
- Soil structures
- Soil tests
- Soil-structure interaction
- Solid mechanics
- Statistical analysis (by type)
- Statistics
- Structural engineering
- Structures (by type)
- Tests (by type)
- Validation
- Vibration
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