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Improve the Reliability of a Continuum Damage Model by Integrating Uncertainty Quantification and Stochastic Modelling.
Improve the Reliability of a Continuum Damage Model by Integrating Uncertainty Quantification and Stochastic Modelling.
- 자료유형
- 학위논문
- Control Number
- 0016619688
- International Standard Book Number
- 9798351494357
- Dewey Decimal Classification Number
- 621
- Main Entry-Personal Name
- Ding, Jing.
- Publication, Distribution, etc. (Imprint
- [S.l.] : North Carolina State University., 2022
- Publication, Distribution, etc. (Imprint
- Ann Arbor : ProQuest Dissertations & Theses, 2022
- Physical Description
- 555 p.
- General Note
- Source: Dissertations Abstracts International, Volume: 84-04, Section: B.
- General Note
- Advisor: Underwood, Benjamin.
- Dissertation Note
- Thesis (Ph.D.)--North Carolina State University, 2022.
- Restrictions on Access Note
- This item must not be sold to any third party vendors.
- Subject Added Entry-Topical Term
- Propagation.
- Subject Added Entry-Topical Term
- Sample size.
- Subject Added Entry-Topical Term
- Sensitivity analysis.
- Subject Added Entry-Topical Term
- Pandemics.
- Subject Added Entry-Topical Term
- Algorithms.
- Subject Added Entry-Topical Term
- Geometry.
- Subject Added Entry-Topical Term
- Reproducibility.
- Subject Added Entry-Topical Term
- Parameter estimation.
- Subject Added Entry-Topical Term
- Computer science.
- Subject Added Entry-Topical Term
- Mathematics.
- Subject Added Entry-Topical Term
- Physics.
- Added Entry-Corporate Name
- North Carolina State University.
- Host Item Entry
- Dissertations Abstracts International. 84-04B.
- Host Item Entry
- Dissertation Abstract International
- Electronic Location and Access
- 로그인을 한후 보실 수 있는 자료입니다.
- Control Number
- joongbu:625920
