#stepfunctionassumption

📌 Key Points Covered:

Motivation: accurate load histories are vital for fatigue, health monitoring & lifetime assessment.

Methodology: approximate time-varying loads as piecewise constant (step functions); derive the inverse problem from displacements/strains.

Case Studies: apply to realistic turbine models; evaluate robustness vs noise and parameter uncertainties.

Field Test: example results show good match and low error (e.g., ~1.3 % min error, ~4.3 % average).

Applications: enables online monitoring with fewer sensors; supports design updates, safety & lifecycle management.

Future Work: move to multi-input loading (wind + wave), non-linear behaviour & real-time digital twin integration.