On the application of Weibull statistics for describing strength of micro and nanostructures. (November 2021)
- Record Type:
- Journal Article
- Title:
- On the application of Weibull statistics for describing strength of micro and nanostructures. (November 2021)
- Main Title:
- On the application of Weibull statistics for describing strength of micro and nanostructures
- Authors:
- Bernal, Rodrigo A.
- Abstract:
- Abstract: Although the Weibull distribution has been used to describe strength data at the micro/nanoscale, its general applicability for micro/nanostructures has yet not been established. Most results are inconclusive due to insufficient data (an unavoidable challenge in micro/nanomechanical testing), and because they do not reveal the characteristics of the representative volume element. Macroscale structures are assumed to contain thousands of elements or more—the mathematical form of the Weibull distribution arises from this assumption. Micro/nanostructures, on the other hand, may contain much fewer elements. Another macroscale assumption is that the stress is far smaller than the strength of the representative element, i.e. the theoretical strength, but the strength of nanostructures approaches this value. The traditional mathematical form of the distribution also precludes calculation of the representative volume from strength data, preventing comparisons to defects or microstructural features that control failure (their size should be similar). Here, it is demonstrated that the Weibull distribution can mathematically describe the probability of failure with <5% error for a structure containing as few as 6 elements, provided the Weibull modulus m > 2. Furthermore, using the exact form of the distribution, without the assumptions that lead to its traditional exponential form, equations are derived that allow the representative volume to be calculated from strength data,Abstract: Although the Weibull distribution has been used to describe strength data at the micro/nanoscale, its general applicability for micro/nanostructures has yet not been established. Most results are inconclusive due to insufficient data (an unavoidable challenge in micro/nanomechanical testing), and because they do not reveal the characteristics of the representative volume element. Macroscale structures are assumed to contain thousands of elements or more—the mathematical form of the Weibull distribution arises from this assumption. Micro/nanostructures, on the other hand, may contain much fewer elements. Another macroscale assumption is that the stress is far smaller than the strength of the representative element, i.e. the theoretical strength, but the strength of nanostructures approaches this value. The traditional mathematical form of the distribution also precludes calculation of the representative volume from strength data, preventing comparisons to defects or microstructural features that control failure (their size should be similar). Here, it is demonstrated that the Weibull distribution can mathematically describe the probability of failure with <5% error for a structure containing as few as 6 elements, provided the Weibull modulus m > 2. Furthermore, using the exact form of the distribution, without the assumptions that lead to its traditional exponential form, equations are derived that allow the representative volume to be calculated from strength data, provided sufficient specimens and sizes are tested. Data for graphene and polysilicon are analyzed with the newly-derived equations, obtaining representative elements that agree well with the observed defects. Highlights: Weibull assumes a structure has many representative elements, and strengths far from the theoretical, which may not apply for micro/nanostructures. The traditional Weibull mathematical form also precludes direct calculation of the representative volume from strength data. A distribution is presented, which bypasses these assumptions and allows calculation of the representative volume from strength data. The distribution is used to reanalyze graphene and polysilicon data, yielding representative elements that agree well with the observed defects. … (more)
- Is Part Of:
- Mechanics of materials. Volume 162(2021)
- Journal:
- Mechanics of materials
- Issue:
- Volume 162(2021)
- Issue Display:
- Volume 162, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 162
- Issue:
- 2021
- Issue Sort Value:
- 2021-0162-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-11
- Subjects:
- Nanomechanics -- Nanowires -- Defects -- Weibull statistics
Strength of materials -- Periodicals
Mechanics, Applied -- Periodicals
Résistance des matériaux -- Périodiques
Mécanique appliquée -- Périodiques
Mechanics, Applied
Strength of materials
Periodicals
Electronic journals
620.11 - Journal URLs:
- http://www.sciencedirect.com/science/journal/01676636 ↗
http://books.google.com/books?id=hWtTAAAAMAAJ ↗
http://www.elsevier.com/journals ↗
http://www.elsevier.com/homepage/elecserv.htt ↗ - DOI:
- 10.1016/j.mechmat.2021.104057 ↗
- Languages:
- English
- ISSNs:
- 0167-6636
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5424.105000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 19788.xml