MATLAB | Sensitivity Analysis with MATLAB for Student Competitions @MATLAB | Uploaded March 2024 | Updated October 2024, 1 week ago.
Khushin and Connell present the MATLAB® code for sensitivity analysis for student competitions, available on the MathWorks® GitHub® repository and File Exchange.
- GitHub® repository: bit.ly/47Fi3C9
- File Exchange: bit.ly/46IvqR0
They discuss the AIAA Design/Build/Fly 2021 competition mission score as a case study and identify the most sensitive design variables to maximize this competition score. You can easily modify the code to fit your requirements and adapt it to determine appropriate design choices to maximize your competition score.
They begin with an overview of sensitivity analysis and its significance in aerospace design competitions. Sensitivity analysis (SA) is a technique employed to gauge the impact of uncertainties in input variables on output variables within a model. In the domain of engineering design, sensitivity analysis is utilized to pinpoint the most sensitive design variables to optimize the design space.
Proceeding further, they delve into the competition score as a case study, scrutinizing various mission scores and identifying the most sensitive design variables across all missions to optimize the mission score.
Related Resources
- Aerospace Video Series (5 videos): bit.ly/3iI6969
- Sensitivity Analysis with MATLAB for Student Competition Scores: bit.ly/47Fi3C9
- MathWorks Support for Student Competitions: bit.ly/2XzrRd4
Chapters:
0:00 Introduction
2:28 What is Sensitivity Analysis?
3:16 Sensitivity Analysis for Aerospace Competitions
4:30 Case study: AIAA DBF 2021 competition score
6:29 Sensitivity Analysis with MATLAB for Student Competition Scores
15:17 Conclusion
17:32 Key takeaways
18:53 Resources
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© 2024 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc.
See mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.
Khushin and Connell present the MATLAB® code for sensitivity analysis for student competitions, available on the MathWorks® GitHub® repository and File Exchange.
- GitHub® repository: bit.ly/47Fi3C9
- File Exchange: bit.ly/46IvqR0
They discuss the AIAA Design/Build/Fly 2021 competition mission score as a case study and identify the most sensitive design variables to maximize this competition score. You can easily modify the code to fit your requirements and adapt it to determine appropriate design choices to maximize your competition score.
They begin with an overview of sensitivity analysis and its significance in aerospace design competitions. Sensitivity analysis (SA) is a technique employed to gauge the impact of uncertainties in input variables on output variables within a model. In the domain of engineering design, sensitivity analysis is utilized to pinpoint the most sensitive design variables to optimize the design space.
Proceeding further, they delve into the competition score as a case study, scrutinizing various mission scores and identifying the most sensitive design variables across all missions to optimize the mission score.
Related Resources
- Aerospace Video Series (5 videos): bit.ly/3iI6969
- Sensitivity Analysis with MATLAB for Student Competition Scores: bit.ly/47Fi3C9
- MathWorks Support for Student Competitions: bit.ly/2XzrRd4
Chapters:
0:00 Introduction
2:28 What is Sensitivity Analysis?
3:16 Sensitivity Analysis for Aerospace Competitions
4:30 Case study: AIAA DBF 2021 competition score
6:29 Sensitivity Analysis with MATLAB for Student Competition Scores
15:17 Conclusion
17:32 Key takeaways
18:53 Resources
--------------------------------------------------------------------------------------------------------
Get a free product trial: goo.gl/ZHFb5u
Learn more about MATLAB: goo.gl/8QV7ZZ
Learn more about Simulink: goo.gl/nqnbLe
See what's new in MATLAB and Simulink: goo.gl/pgGtod
© 2024 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc.
See mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.
