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This document delves into geotechnical uncertainties affecting performance-based earthquake engineering (PBEE). It distinguishes between epistemic uncertainty, related to incomplete data and knowledge, and aleatory uncertainty, stemming from inherent variability in physical processes. The significance of uncertainties in site response, ground failure, and liquefaction is emphasized. Research and improved models can help reduce epistemic uncertainties, whereas aleatory uncertainties are inherent and unmanageable. Key findings from studies and methodologies, including Monte Carlo simulations, are highlighted to assess uncertainty impacts on engineering performance. ### Relevant
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Definitions of Uncertainty • Epistemic: uncertainty associated with incomplete or imperfect knowledge • Lack of information, e.g., insufficient soil sampling • Shortcomings in measurement, e.g., soil disturbance effects on modulus reduction/damping curves • Shortcoming of calculation, e.g., limitations of 1-D ground response model • Can be reduced with research (development of additional data, better models)
Definitions of Uncertainty • Aleatory: uncertainty inherent to a physical process or property • Spatial variability of soil properties • Dispersion of IM from source/path effects at high frequencies • Cannot be reduced with additional data/knowledge
Context Where geotechnical uncertainty matters: • Site response – IM • EDP|IM for EDPs related to ground failure • Liquefaction and its effects (ground movement, instability) • Slope failure • Volume change in unsaturated soils • Soil-structure interaction • Seismic demand imparted to structure from free-field • Flexibility/damping of foundation-soil interaction
Information Resource • Jones/Kramer/Arduino PEER report 2001/03 • “Estimation of uncertainty in geotechnical properties for performance based earthquake engineering” • Parameter variability from field/lab tests subdivided according to: • Inherent variabilty • Measurement variability • Spatial correlation
Site Response Uncertainty • IM pdf from attenuation • IM dispersion is dependent on site condition • Estimated empirically
Site Response Uncertainty • IM pdf from site-specific analysis • Uncertainty in nonlinear properties (G/Gmax, D) • Epistemic from sample disturbance effects • PEER Lifelines–developing models for depth, PI, % fines effects • Vs • Aleatory from spatial variability - e.g. Savannah River (Toro, Silva) • Epistemic from measurement error, incomplete site testing Ref: Toro et al., 1997
Site Response Uncertainty • Input motions • Epistemic uncertainty in IM hazard results (target spectrum for ground motion scaling) • Aleatory from phasing of input time histories • Result: large uncertainty in calculated soil response – especially at short periods (e.g., T < 1 s)
EDP|IM: Liquefaction • Triggering: • Liq|(pene. resistance, IM) • Epistemic from model minimized with recent PEER work (Seed et al.) • Modest aleatory • Still large uncertainty in penetration resistance • COV 50% (sand N-values); Ref. Phoon and Kulhawy, 1999 • Effect on liquefaction can be of similar order to that of IM uncertainty
Liquefaction Effects • Ground/structure settlement • Correct form of model unknown • Epistemic from inadequate data • Aleatory uncertainty not quantified • Undrained residual strength • Lateral spread displacement Opportunity for PEER impact
Soil-Structure Interaction • Seismic demand – kinematic interaction • Rigorous analysis with incoherent wave field vs. simplified model with incoherence parameter • Epistemic model uncertainty • Aleatory uncertainty on incoherence parameters • Soil-Foundation Interaction • Epistemic from model formulation (spring, continuum models from FE, FD) • Aleatory from material parameters
Propagation of Uncertainties • Evaluation of ground response effects on IMs – hazard analysis • Category-specific dispersion in PSHA • 1-D response analysis procedures for randomized soil properties and input (RASCAL) • Must quantify epistemic uncertainty using logic trees • Methodology challenge: propagation of epistemic uncertainty through the framing equation • Opensees simulations for dG[EDP|IM]d(IM) • Monte Carlo methods • Repeat for different IMs (epistemic)
One-Dimensional Site Response 3 m Hydraulic fill 6 m 3% ground slope Ref: Jones et al. 2001
Monte Carlo Results Ref: Jones et al. 2001