| 학회 |
한국화학공학회 |
| 학술대회 |
2015년 가을 (10/21 ~ 10/23, 일산 KINTEX) |
| 권호 |
21권 2호, p.1509 |
| 발표분야 |
공정시스템 |
| 제목 |
Polynomial Chaos Approach Based Uncertainty Quantification and Sensitivity Analysis of Chemical Process |
| 초록 |
Uncertainties are important to do sensitivity analysis, to get a reasonable confidence bound on the model predictions. In this work, we proposed a generalized polynomial chaos based approach for studying uncertainty quantification and sensitivity analysis of chemical processes. Essentially, gPC method approximates the dependence of simulation model output on model parameters by expansion in an orthogonal polynomial basis and all statistical information of interested output can be obtained from the surrogate gPC model by the interface between Matlab and HYSYS. The proposed methodology is compared with traditional Monte Carlo (MC), Quasi Monte Carlo sampling based approaches to illustrate its advantages in terms of computational efficiency as well as accuracy. This study was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2015R1D1A3A01015621) and by Priority Research Centers Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2014R1A6A1031189). |
| 저자 |
이문용, Yus Donald Chaniago, Le Cao Nhien, 김서은, Andika Riezqa, Pham Luu Trung Duong, Wahid Ali
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| 소속 |
영남대 |
| 키워드 |
Uncertainty Quantification; Polynomial Chaos; Sensitivity Analysis; Monte Carlo; Matlab and HYSYS
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| E-Mail |
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| VOD |
VOD 보기 |
| 원문파일 |
초록 보기 |
