Background
NASA missions often involve the development of new vehicles and systems that must be designed to operate in harsh domains with a wide array of operating conditions. These missions involve high-consequence and safety-critical systems for which quantitative data is either very sparse or prohibitively expensive to collect. Limited heritage data may exist, but is also usually sparse and may not be directly applicable to the system of interest, making uncertainty quantification extremely challenging. NASA modeling and simulation standards require estimates of uncertainty and descriptions of any processes used to obtain these estimates.
To better meet this standard, NASA recently sought responses to this challenge problem to address the following:
- Modeling and refinement of uncertainty given sparse data
- Propagation of mixed aleatory and epistemic uncertainties through system models
- Parameter ranking and sensitivity analysis in the presence of uncertainty
- Identification of the parameters whose uncertainty is the most/least consequential
- Worst-case system performance assessment
- Design in the presence of uncertainty Event Details
This event, organised by the UQ&M Special Interest Group run by the Knowledge Transfer Network will bring together the UK statistical, mathematical and engineering communities in the area of High Value Manufacturing to learn from NASA’s challenge, network to explore opportunities for UK companies with similar challenges
References [1] http://uqtools.larc.nasa.gov/nda-uq-challenge-problem-2014
Contacts For more information, please contact matt.butchers@ktn-uk.org
Confirmed speakers from - NASA - Airbus UK - The Knowledge Transfer Network