Response Surface Generation with Optimal Statistical Estimator

1161 Views
704 Downloads
Export citation: ABNT
PROŠEK, Andrej ;MAVKO, Borut .
Response Surface Generation with Optimal Statistical Estimator. 
Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 46, n.1, p. 14-23, july 2017. 
ISSN 0039-2480.
Available at: <https://www.sv-jme.eu/article/response-surface-generation-with-optimal-statistical-estimator/>. Date accessed: 05 dec. 2021. 
doi:http://dx.doi.org/.
Prošek, A., & Mavko, B.
(2000).
Response Surface Generation with Optimal Statistical Estimator.
Strojniški vestnik - Journal of Mechanical Engineering, 46(1), 14-23.
doi:http://dx.doi.org/
@article{.,
	author = {Andrej  Prošek and Borut  Mavko},
	title = {Response Surface Generation with Optimal Statistical Estimator},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {46},
	number = {1},
	year = {2000},
	keywords = {response surface; optimal statistical estimator; peak cladding temperature; nuclear safety; },
	abstract = {In the field of nuclear engineering the response surface is used to solve some problems related to nuclear safety. The main purpose of the study was to develop a tool suitable for response surface generation of complex and non-linear phenomena and to demonstrate its applicability for the response surface generation of peak cladding temperature during a small-break loss-of-coolant accident in a nuclear power plant. The optimal statistical estimator, adapted for use in multi-dimensional space, was used for response surface generation. For assessing the adequacy and predictive capability of the optimal statistical estimator two statistics were built in, and the possibility to set the width of the Gaussian curve. The performance of the optimal statistical estimator was tested with the results from 59 different calculations of the small-break lossof-coolant accident. The application of the optimal statistical estimator shows several advantages when compared to the more commonly used regression analysis. The results showed that the response surface for the peak cladding temperature was adequately predicted by the optimal statistical estimator but not with regression analysis. Furthermore, an ability to automate the response surface generation provides the possibility of using the optimal statistical estimator for an uncertainty evaluation of any kind of time dependent phenomena and transients},
	issn = {0039-2480},	pages = {14-23},	doi = {},
	url = {https://www.sv-jme.eu/article/response-surface-generation-with-optimal-statistical-estimator/}
}
Prošek, A.,Mavko, B.
2000 July 46. Response Surface Generation with Optimal Statistical Estimator. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 46:1
%A Prošek, Andrej 
%A Mavko, Borut 
%D 2000
%T Response Surface Generation with Optimal Statistical Estimator
%B 2000
%9 response surface; optimal statistical estimator; peak cladding temperature; nuclear safety; 
%! Response Surface Generation with Optimal Statistical Estimator
%K response surface; optimal statistical estimator; peak cladding temperature; nuclear safety; 
%X In the field of nuclear engineering the response surface is used to solve some problems related to nuclear safety. The main purpose of the study was to develop a tool suitable for response surface generation of complex and non-linear phenomena and to demonstrate its applicability for the response surface generation of peak cladding temperature during a small-break loss-of-coolant accident in a nuclear power plant. The optimal statistical estimator, adapted for use in multi-dimensional space, was used for response surface generation. For assessing the adequacy and predictive capability of the optimal statistical estimator two statistics were built in, and the possibility to set the width of the Gaussian curve. The performance of the optimal statistical estimator was tested with the results from 59 different calculations of the small-break lossof-coolant accident. The application of the optimal statistical estimator shows several advantages when compared to the more commonly used regression analysis. The results showed that the response surface for the peak cladding temperature was adequately predicted by the optimal statistical estimator but not with regression analysis. Furthermore, an ability to automate the response surface generation provides the possibility of using the optimal statistical estimator for an uncertainty evaluation of any kind of time dependent phenomena and transients
%U https://www.sv-jme.eu/article/response-surface-generation-with-optimal-statistical-estimator/
%0 Journal Article
%R 
%& 14
%P 10
%J Strojniški vestnik - Journal of Mechanical Engineering
%V 46
%N 1
%@ 0039-2480
%8 2017-07-07
%7 2017-07-07
Prošek, Andrej, & Borut  Mavko.
"Response Surface Generation with Optimal Statistical Estimator." Strojniški vestnik - Journal of Mechanical Engineering [Online], 46.1 (2000): 14-23. Web.  05 Dec. 2021
TY  - JOUR
AU  - Prošek, Andrej 
AU  - Mavko, Borut 
PY  - 2000
TI  - Response Surface Generation with Optimal Statistical Estimator
JF  - Strojniški vestnik - Journal of Mechanical Engineering
DO  - 
KW  - response surface; optimal statistical estimator; peak cladding temperature; nuclear safety; 
N2  - In the field of nuclear engineering the response surface is used to solve some problems related to nuclear safety. The main purpose of the study was to develop a tool suitable for response surface generation of complex and non-linear phenomena and to demonstrate its applicability for the response surface generation of peak cladding temperature during a small-break loss-of-coolant accident in a nuclear power plant. The optimal statistical estimator, adapted for use in multi-dimensional space, was used for response surface generation. For assessing the adequacy and predictive capability of the optimal statistical estimator two statistics were built in, and the possibility to set the width of the Gaussian curve. The performance of the optimal statistical estimator was tested with the results from 59 different calculations of the small-break lossof-coolant accident. The application of the optimal statistical estimator shows several advantages when compared to the more commonly used regression analysis. The results showed that the response surface for the peak cladding temperature was adequately predicted by the optimal statistical estimator but not with regression analysis. Furthermore, an ability to automate the response surface generation provides the possibility of using the optimal statistical estimator for an uncertainty evaluation of any kind of time dependent phenomena and transients
UR  - https://www.sv-jme.eu/article/response-surface-generation-with-optimal-statistical-estimator/
@article{{}{.},
	author = {Prošek, A., Mavko, B.},
	title = {Response Surface Generation with Optimal Statistical Estimator},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {46},
	number = {1},
	year = {2000},
	doi = {},
	url = {https://www.sv-jme.eu/article/response-surface-generation-with-optimal-statistical-estimator/}
}
TY  - JOUR
AU  - Prošek, Andrej 
AU  - Mavko, Borut 
PY  - 2017/07/07
TI  - Response Surface Generation with Optimal Statistical Estimator
JF  - Strojniški vestnik - Journal of Mechanical Engineering; Vol 46, No 1 (2000): Strojniški vestnik - Journal of Mechanical Engineering
DO  - 
KW  - response surface, optimal statistical estimator, peak cladding temperature, nuclear safety, 
N2  - In the field of nuclear engineering the response surface is used to solve some problems related to nuclear safety. The main purpose of the study was to develop a tool suitable for response surface generation of complex and non-linear phenomena and to demonstrate its applicability for the response surface generation of peak cladding temperature during a small-break loss-of-coolant accident in a nuclear power plant. The optimal statistical estimator, adapted for use in multi-dimensional space, was used for response surface generation. For assessing the adequacy and predictive capability of the optimal statistical estimator two statistics were built in, and the possibility to set the width of the Gaussian curve. The performance of the optimal statistical estimator was tested with the results from 59 different calculations of the small-break lossof-coolant accident. The application of the optimal statistical estimator shows several advantages when compared to the more commonly used regression analysis. The results showed that the response surface for the peak cladding temperature was adequately predicted by the optimal statistical estimator but not with regression analysis. Furthermore, an ability to automate the response surface generation provides the possibility of using the optimal statistical estimator for an uncertainty evaluation of any kind of time dependent phenomena and transients
UR  - https://www.sv-jme.eu/article/response-surface-generation-with-optimal-statistical-estimator/
Prošek, Andrej, AND Mavko, Borut.
"Response Surface Generation with Optimal Statistical Estimator" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 46 Number 1 (07 July 2017)

Authors

Affiliations

  • Institute Jože Stefan, Ljubljana, Slovenia
  • Institute Jože Stefan, Ljubljana, Slovenia

Paper's information

Strojniški vestnik - Journal of Mechanical Engineering 46(2000)1, 14-23

In the field of nuclear engineering the response surface is used to solve some problems related to nuclear safety. The main purpose of the study was to develop a tool suitable for response surface generation of complex and non-linear phenomena and to demonstrate its applicability for the response surface generation of peak cladding temperature during a small-break loss-of-coolant accident in a nuclear power plant. The optimal statistical estimator, adapted for use in multi-dimensional space, was used for response surface generation. For assessing the adequacy and predictive capability of the optimal statistical estimator two statistics were built in, and the possibility to set the width of the Gaussian curve. The performance of the optimal statistical estimator was tested with the results from 59 different calculations of the small-break lossof-coolant accident. The application of the optimal statistical estimator shows several advantages when compared to the more commonly used regression analysis. The results showed that the response surface for the peak cladding temperature was adequately predicted by the optimal statistical estimator but not with regression analysis. Furthermore, an ability to automate the response surface generation provides the possibility of using the optimal statistical estimator for an uncertainty evaluation of any kind of time dependent phenomena and transients

response surface; optimal statistical estimator; peak cladding temperature; nuclear safety;