Experiments of a shock hitting a curtain of particles were conducted at the multiphase shock tube facility at Sandia National Laboratories. These are studied in this paper for quantifying the epistemic uncertainty in the experimental measurements due to processing via measurement models. Schlieren and X-ray imaging techniques were used to obtain the measurements that characterize the particle curtain with particle volume fraction and curtain edge locations. The epistemic uncertainties in the experimental setup and image processing methods were identified and measured. The effects of these uncertainties on the uncertainty in the extracted experimental measurements were quantified. The influence of the epistemic uncertainty was significantly higher than the experimental variability that has been previously considered as the most important uncertainty of experiments.
Skip Nav Destination
Article navigation
December 2018
Research-Article
Epistemic Uncertainty Stemming From Measurement Processing—A Case Study of Multiphase Shock Tube Experiments
Chanyoung Park,
Chanyoung Park
Department of Mechanical and
Aerospace Engineering,
University of Florida,
Gainesville, FL 32611
e-mail: cy.park@ufl.edu
Aerospace Engineering,
University of Florida,
Gainesville, FL 32611
e-mail: cy.park@ufl.edu
Search for other works by this author on:
Justin Matthew,
Justin Matthew
Department of Mechanical and
Aerospace Engineering,
University of Florida,
Gainesville, FL 32611
e-mail: jtmathew@live.com
Aerospace Engineering,
University of Florida,
Gainesville, FL 32611
e-mail: jtmathew@live.com
Search for other works by this author on:
Nam H. Kim,
Nam H. Kim
Mem. ASME
Department of Mechanical and
Aerospace Engineering,
University of Florida,
Gainesville, FL 32611
e-mail: nkim@ufl.edu
Department of Mechanical and
Aerospace Engineering,
University of Florida,
Gainesville, FL 32611
e-mail: nkim@ufl.edu
Search for other works by this author on:
Raphael T. Haftka
Raphael T. Haftka
Department of Mechanical and
Aerospace Engineering,
University of Florida,
Gainesville, FL 32611
e-mail: haftka@ufl.edu
Aerospace Engineering,
University of Florida,
Gainesville, FL 32611
e-mail: haftka@ufl.edu
Search for other works by this author on:
Chanyoung Park
Department of Mechanical and
Aerospace Engineering,
University of Florida,
Gainesville, FL 32611
e-mail: cy.park@ufl.edu
Aerospace Engineering,
University of Florida,
Gainesville, FL 32611
e-mail: cy.park@ufl.edu
Justin Matthew
Department of Mechanical and
Aerospace Engineering,
University of Florida,
Gainesville, FL 32611
e-mail: jtmathew@live.com
Aerospace Engineering,
University of Florida,
Gainesville, FL 32611
e-mail: jtmathew@live.com
Nam H. Kim
Mem. ASME
Department of Mechanical and
Aerospace Engineering,
University of Florida,
Gainesville, FL 32611
e-mail: nkim@ufl.edu
Department of Mechanical and
Aerospace Engineering,
University of Florida,
Gainesville, FL 32611
e-mail: nkim@ufl.edu
Raphael T. Haftka
Department of Mechanical and
Aerospace Engineering,
University of Florida,
Gainesville, FL 32611
e-mail: haftka@ufl.edu
Aerospace Engineering,
University of Florida,
Gainesville, FL 32611
e-mail: haftka@ufl.edu
1Corresponding author.
Manuscript received June 18, 2018; final manuscript received February 4, 2019; published online March 7, 2019. Assoc. Editor: Scott Doebling.
J. Verif. Valid. Uncert. Dec 2018, 3(4): 041001 (11 pages)
Published Online: March 7, 2019
Article history
Received:
June 18, 2018
Revised:
February 4, 2019
Citation
Park, C., Matthew, J., Kim, N. H., and Haftka, R. T. (March 7, 2019). "Epistemic Uncertainty Stemming From Measurement Processing—A Case Study of Multiphase Shock Tube Experiments." ASME. J. Verif. Valid. Uncert. December 2018; 3(4): 041001. https://doi.org/10.1115/1.4042814
Download citation file:
Get Email Alerts
Cited By
Related Articles
Uncertainty Reduction for Model Error Detection in Multiphase Shock Tube Simulation
J. Verif. Valid. Uncert (September,2021)
Uncertainty Quantification for Additive Manufacturing Process Improvement: Recent Advances
ASME J. Risk Uncertainty Part B (March,2022)
A Data-Fusion Method for Uncertainty Quantification of Mechanical Property of Bi-Modulus Materials: An Example of Graphite
J. Appl. Mech (June,2023)
Measurement Errors and Uncertainty Quantification of a Two-Dimensional-Particle Image Velocimetry Experimental Setup for Jet Flow Characterization
ASME J. Risk Uncertainty Part B (December,2020)
Related Proceedings Papers
Related Chapters
Dimensional Measurements and Calibration
Metrology and Instrumentation: Practical Applications for Engineering and Manufacturing
Advances in the Stochastic Modeling of Constitutive Laws at Small and Finite Strains
Advances in Computers and Information in Engineering Research, Volume 2
Automated Measurement of Coke Size by Computer Image Processing
International Conference on Control Engineering and Mechanical Design (CEMD 2017)