Bayesian Network Framework to Model Seismic Failure Modes for an Embankment Dam System
Publication: ASCE Inspire 2023
ABSTRACT
Given the large number of aging dams in the Central and Eastern United States (CEUS), a risk framework is needed to characterize the seismic risk posed to a downstream community from a system of dams in the region. This study proposes a Bayesian network (BN) approach to system-level seismic risk assessment in the CEUS. A BN was previously developed to characterize the joint seismic hazard at multiple dams. This research extends that BN by characterizing the resulting potential seismic failure modes. The formulation of this scalable framework is discussed, and an illustrative example problem is used to illustrate how the BN can provide insights useful to risk-informed decision-making.
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Published online: Nov 14, 2023
ASCE Technical Topics:
- Analysis (by type)
- Bayesian analysis
- Dam failures
- Dams
- Disaster risk management
- Disasters and hazards
- Earthquake engineering
- Embankment dams
- Engineering fundamentals
- Failure analysis
- Failure modes
- Failures (by type)
- Forensic engineering
- Geotechnical engineering
- Infrastructure
- Infrastructure resilience
- Man-made disasters
- Seismic effects
- Seismic tests
- Statistical analysis (by type)
- Structural engineering
- Tests (by type)
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