Uncertainty quantification and propagation based on hybrid experimental, theoretical, and computational treatment. (15th January 2021)
- Record Type:
- Journal Article
- Title:
- Uncertainty quantification and propagation based on hybrid experimental, theoretical, and computational treatment. (15th January 2021)
- Main Title:
- Uncertainty quantification and propagation based on hybrid experimental, theoretical, and computational treatment
- Authors:
- Elishakoff, I.
Fang, T.
Sarlin, N.
Jiang, C. - Abstract:
- Highlights: Beginning with given scarce experimental data, the method first obtains the convex hull of the experimental data and then enclosing the data by various figures, namely the convex hull, box, parallelepiped, ellipsoid and super-ellipsoid with minimal volume, all containing the data. An inflating Chebyshev's ellipsoid is then calculated based on the data and given probability level. Thus the transformed uncertainty domain is obtained by enlarging the original minimal volume figures based on the so-called 'Chebyshev's ellipsoid' so that the specified probability level of uncertainty domain can be ensured. The method is applied to a ten-bar truss under three uncertain loads for response analysis. Abstract: This paper extends two companion studies (Elishakoff and Sarlin, 2016a, b) into three-dimensional case. Beginning with given scarce experimental data, the method first obtains the convex hull of the experimental data and then enclosing the data by various figures, namely the convex hull, box, parallelepiped, ellipsoid and super-ellipsoid with minimal volume, all containing the data. An inflating Chebyshev's ellipsoid is then calculated based on the data and given probability level. Thus the transformed uncertainty domain is obtained by enlarging the original minimal volume figures based on the so-called 'Chebyshev's ellipsoid' so that the specified probability level of uncertainty domain can be ensured. Finally, this method is applied to a ten-bar truss under threeHighlights: Beginning with given scarce experimental data, the method first obtains the convex hull of the experimental data and then enclosing the data by various figures, namely the convex hull, box, parallelepiped, ellipsoid and super-ellipsoid with minimal volume, all containing the data. An inflating Chebyshev's ellipsoid is then calculated based on the data and given probability level. Thus the transformed uncertainty domain is obtained by enlarging the original minimal volume figures based on the so-called 'Chebyshev's ellipsoid' so that the specified probability level of uncertainty domain can be ensured. The method is applied to a ten-bar truss under three uncertain loads for response analysis. Abstract: This paper extends two companion studies (Elishakoff and Sarlin, 2016a, b) into three-dimensional case. Beginning with given scarce experimental data, the method first obtains the convex hull of the experimental data and then enclosing the data by various figures, namely the convex hull, box, parallelepiped, ellipsoid and super-ellipsoid with minimal volume, all containing the data. An inflating Chebyshev's ellipsoid is then calculated based on the data and given probability level. Thus the transformed uncertainty domain is obtained by enlarging the original minimal volume figures based on the so-called 'Chebyshev's ellipsoid' so that the specified probability level of uncertainty domain can be ensured. Finally, this method is applied to a ten-bar truss under three uncertain loads for response analysis. … (more)
- Is Part Of:
- Mechanical systems and signal processing. Volume 147(2021)
- Journal:
- Mechanical systems and signal processing
- Issue:
- Volume 147(2021)
- Issue Display:
- Volume 147, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 147
- Issue:
- 2021
- Issue Sort Value:
- 2021-0147-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-01-15
- Subjects:
- Uncertainty quantification -- Uncertainty propagation -- Scarce data -- Chebyshev inequality -- Super-ellipsoids
Structural dynamics -- Periodicals
Vibration -- Periodicals
Constructions -- Dynamique -- Périodiques
Vibration -- Périodiques
Structural dynamics
Vibration
Periodicals
621 - Journal URLs:
- http://www.sciencedirect.com/science/journal/08883270 ↗
http://firstsearch.oclc.org ↗
http://firstsearch.oclc.org/journal=0888-3270;screen=info;ECOIP ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.ymssp.2020.107058 ↗
- Languages:
- English
- ISSNs:
- 0888-3270
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5419.760000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 14034.xml