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Accounting for Epistemic and Aleatory Uncertainty in Early System Design

Award Information

Agency:
National Aeronautics and Space Administration
Branch:
N/A
Award ID:
77640
Program Year/Program:
2007 / SBIR
Agency Tracking Number:
054481
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Applied Biomathematics
100 North Country Rd. Setauket, NY -
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 2
Fiscal Year: 2007
Title: Accounting for Epistemic and Aleatory Uncertainty in Early System Design
Agency: NASA
Contract: NNL07AA06C
Award Amount: $599,878.00
 

Abstract:

This project extends Probability Bounds Analysis to model epistemic and aleatory uncertainty during early design of engineered systems in an Integrated Concurrent Engineering environment. This method uses efficient analytic and semi-analytic calculations, is more rigorous than probabilistic Monte Carlo simulation, and provides comprehensive and (often) best possible bounds on mission-level risk as a function of uncertainty in each parameter. Phase 1 demonstrated the capability to robustly model uncertainty during early design. Phase 2 will build on the Phase 1 work by 1) Implementing the PBA technology in Excel-mediated computing tools, 2) Fashioning an interface for these tools that enables fast and robust elicitation of expert knowledge, 3) Initiating the development of a library of such elicitations, 4) Demonstrating the application of the tools, interface and library in an interactive, distributed-computing environment, 5) Developing case studies, and 6) Creating tutorial documentation. Important applications of these new tools include the ability to rapidly and rigorously explore uncertainty regarding alternate designs, determine risk-based margins that are robust to surprise, and incorporate qualitatively described risks in quantitative analyses. This suite of capabilities is not currently available to systems engineers and cannot be provided by more traditional probabilistic risk assessment methods.

Principal Investigator:

Scott D. Ferson
Principal Investigator
6317514350
scott@ramas.com

Business Contact:

Lev B. Ginzburg
Business Official
6317514350
Lev@ramas.com
Small Business Information at Submission:

Applied Biomathematics
100 North Country Road Setauket, NY 11733

EIN/Tax ID: 112596502
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No