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A. Intelligent Simulation & Surrogate Modeling

We build physics-respecting surrogates to replace costly FE/multi-physics simulations—unlocking rapid what-if studies, reliability assessment, and design optimization for novel materials and systems.

What we do (selected):

• Multi-fidelity and physics-informed surrogates for UHPC beam behavior and CFS (cold-formed steel) local/distortional buckling

• Active/Sequential DoE to minimize FE runs for bridge/cooling-tower response studies

• Scientific ML emulators for parameter calibration and code-check acceleration

Keywords: Stochastic emulation; Multi-fidelity; Adaptive/Sequential DoE; Gaussian Processes (GP); Dimension reduction; Physics-informed ML
Applications: UHPC flexure & durability; CFS web-crippling/distortional buckling; bridge & cooling-tower assessments; FE parameter calibration

Intelligent Surrogate Modeling

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B. System-Reliability-based Resilience Assessment

Resilience means more than low failure probability—it includes recovery, redundancy, and interdependencies. We develop UQ-strong frameworks for component-to-system assessment and decision-making under competing objectives (safety, carbon, cost).

What we do (selected):

• System reliability and fragility/vulnerability for bridges and industrial/cooling-tower assets under earthquakes, wind, corrosion and local fire

• Surrogate-aided reliability (FORM/SORM/MC) for complex limit states in steel/concrete hybrids

• Data-driven maintenance/retrofit planning with recovery metrics

Keywords: System reliability; Redundancy; Recoverability; Resilience metrics; Adaptive sampling; Surrogate-aided reliability
Applications: Multi-hazard structural portfolios; inspection/maintenance scheduling; performance-based design under uncertainty

Resilience Analysis

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C. Regional & Lifecycle Risk, Sustainability, and Code Calibration

At regional/portfolio scales, data are sparse and objectives conflict. We fuse Bayesian updating, global sensitivity, and probabilistic imputation with LCA/LCCA to balance risk, cost, and carbon across the lifecycle. We also contribute to code calibration and reliability-based partial factors.

What we do (selected):

• Portfolio-level earthquake/wind risk and carbon-aware maintenance for bridges & towers

• Reliability-consistent partial-factor calibration for UHPC and CFS provisions (Eurocode/AISI context)

• SHM-informed Bayesian updating and value of information for inspection planning

Keywords: Probabilistic imputation; Global sensitivity; Bayesian updating; LCA/LCCA; Decision under uncertainty; Partial-factor calibration
Applications: Regional risk & resilience; standards development; retrofit prioritization; sustainability-performance trade-offs

Regional & Lifecycle UQ

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D. Random Vibrations & Random Fields

Many hazards/materials are spatial–temporal random fields. We model and propagate such uncertainties to evaluate first-passage failure, serviceability, and durability (corrosion/carbonation/fatigue) under coupled actions.

What we do (selected):

• Spectral/random-field models for ground motion and material variability in concrete & steel systems

• Karhunen–Loève expansions and equivalent linearization for stochastic response

• Durability risk of UHPC and RC (corrosion, carbonation) under climate stressors

Keywords: Spectral representations; Karhunen–Loève expansions; Equivalent linearization; First-passage probability; Spatio-temporal fields
Applications: Earthquake response; UHPC/RC durability; stochastic load modeling; reliability of aging assets

Random Vibrations & Random Fields

Lenganji Simwanda, Ph.D

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