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F&DT analysis has traditionally been done with deterministic analysis and conservative scatter factors. In an attempt to move towards risk informed strategy, advanced probabilistic approaches should be developed. Need to develop computational methods for quantifying and managing the impact of various uncertainties (e.g., material properties variability, load to stress variability, manufacturing tolerances, etc.,) on the fatigue and damage tolerance assessment of airframe structures.
Job Responsibility:
Literature review of Probabilistic approaches including UQM (Uncertainty Quantification & Management) application to fatigue use-cases
Identify use-cases starting with simpler ones to apply probabilistic assessments
Identify key characteristic parameters and their variability. Perform Design of Experiments & Surrogate modelling
Generate probability distributions of the most influencing input parameters and perform simulations to get probability of different outcomes, helping in risk assessment and decision-making
Compare with experimental distribution and document the outcome of the study
Requirements:
Good knowledge of statistics, probabilistic methods and mathematics
Basic knowledge of strength of materials, finite element methods, structural fatigue
Ability to derive broad conclusions from research articles
Hands on experience with using FE tools Abaqus / Nastran