Continuous Section Fields: A Computational Modelling Framework for axially graded Non-Uniform Structural Members
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Updated
Oct 6, 2026 - Python
Continuous Section Fields: A Computational Modelling Framework for axially graded Non-Uniform Structural Members
Bridging the lab-to-field gap in BESS health diagnostics. Python case studies exploring data quality, baseline-relative degradation trends, and uncertainty-aware SOH assessment to inform asset valuation and insurance risk assessment.
Python simulation framework for techno-economic optimisation of PEM and Alkaline electrolysers under variable renewable energy — 15-year horizon, degradation modelling, LCOH/NPV analysis
Learning Bounded Latent Degradation Dynamics for Stable Rollout and RUL Prediction. Under review at EAAI (SSRN 7180558). 5 real-world datasets.
R package for statistical inference, Wiener degradation modeling with drift, and reliability analysis of repairable systems under imperfect maintenance (ARD1). Exact MLE, RUL prognosis via Inverse Gaussian FHT, and publication-ready diagnostics.
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