Sampling Method in Probabilistic S‑version Finite Element Analysis for Initial Flaw Size
The aim of this paper is to demonstrate the accuracy of the sampling method in probabilistic fatigue surface crack growth analysis. A finite thickness plate with surface crack subjected to a fatigue load is considered for fracture analysis using the newly developed Probabilistic S-version Finite E...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer Berlin Heidelberg
2017
|
| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/15243/1/fkm-2016-akramin-Sampling%20method%20in%20probabilistic%20S%E2%80%91version1.pdf |
| _version_ | 1825825355091410944 |
|---|---|
| author | M. R. M., Akramin A. K., Ariffin Kikuchi, Masanori S., Abdullah |
| author_facet | M. R. M., Akramin A. K., Ariffin Kikuchi, Masanori S., Abdullah |
| author_sort | M. R. M., Akramin |
| collection | UMP |
| description | The aim of this paper is to demonstrate the accuracy
of the sampling method in probabilistic fatigue surface
crack growth analysis. A finite thickness plate with surface crack subjected to a fatigue load is considered for fracture analysis using the newly developed Probabilistic S-version Finite Element Model (ProbS-FEM). Two sampling methods, Monte Carlo and Latin Hypercube are employed in the ProbS-FEM. Two different sampling methods are used to generate the random variables in the analysis. The results from the strategies are compared to highlight the advantages of each sampling strategy. The distribution of the initial surface crack length and depth are extracted from the fatigue tests. The accuracy and consistency between the two sampling methods are evaluated. The Latin Hypercube sampling (LHS) shows advantages compared to the Monte Carlo. Then, the developed ProbS-FEM is demonstrated on a four-point bending model. The developed ProbS-FEM shows that the code is capable of modelling the uncertainty in the fatigue surface crack analysis with better accuracy
and consistency of sampling process. |
| first_indexed | 2024-03-06T12:09:16Z |
| format | Article |
| id | UMPir15243 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T12:09:16Z |
| publishDate | 2017 |
| publisher | Springer Berlin Heidelberg |
| record_format | dspace |
| spelling | UMPir152432017-02-13T00:41:41Z http://umpir.ump.edu.my/id/eprint/15243/ Sampling Method in Probabilistic S‑version Finite Element Analysis for Initial Flaw Size M. R. M., Akramin A. K., Ariffin Kikuchi, Masanori S., Abdullah TJ Mechanical engineering and machinery The aim of this paper is to demonstrate the accuracy of the sampling method in probabilistic fatigue surface crack growth analysis. A finite thickness plate with surface crack subjected to a fatigue load is considered for fracture analysis using the newly developed Probabilistic S-version Finite Element Model (ProbS-FEM). Two sampling methods, Monte Carlo and Latin Hypercube are employed in the ProbS-FEM. Two different sampling methods are used to generate the random variables in the analysis. The results from the strategies are compared to highlight the advantages of each sampling strategy. The distribution of the initial surface crack length and depth are extracted from the fatigue tests. The accuracy and consistency between the two sampling methods are evaluated. The Latin Hypercube sampling (LHS) shows advantages compared to the Monte Carlo. Then, the developed ProbS-FEM is demonstrated on a four-point bending model. The developed ProbS-FEM shows that the code is capable of modelling the uncertainty in the fatigue surface crack analysis with better accuracy and consistency of sampling process. Springer Berlin Heidelberg 2017-05-04 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/15243/1/fkm-2016-akramin-Sampling%20method%20in%20probabilistic%20S%E2%80%91version1.pdf M. R. M., Akramin and A. K., Ariffin and Kikuchi, Masanori and S., Abdullah (2017) Sampling Method in Probabilistic S‑version Finite Element Analysis for Initial Flaw Size. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 39 (1). pp. 357-365. ISSN 1678-5878 (Print); 1806-3691 (Online). (Published) http://dx.doi.org/10.1007/s40430-016-0549-z DOI: 10.1007/s40430-016-0549-z |
| spellingShingle | TJ Mechanical engineering and machinery M. R. M., Akramin A. K., Ariffin Kikuchi, Masanori S., Abdullah Sampling Method in Probabilistic S‑version Finite Element Analysis for Initial Flaw Size |
| title | Sampling Method in Probabilistic S‑version Finite Element Analysis for Initial Flaw Size |
| title_full | Sampling Method in Probabilistic S‑version Finite Element Analysis for Initial Flaw Size |
| title_fullStr | Sampling Method in Probabilistic S‑version Finite Element Analysis for Initial Flaw Size |
| title_full_unstemmed | Sampling Method in Probabilistic S‑version Finite Element Analysis for Initial Flaw Size |
| title_short | Sampling Method in Probabilistic S‑version Finite Element Analysis for Initial Flaw Size |
| title_sort | sampling method in probabilistic s version finite element analysis for initial flaw size |
| topic | TJ Mechanical engineering and machinery |
| url | http://umpir.ump.edu.my/id/eprint/15243/1/fkm-2016-akramin-Sampling%20method%20in%20probabilistic%20S%E2%80%91version1.pdf |
| work_keys_str_mv | AT mrmakramin samplingmethodinprobabilisticsversionfiniteelementanalysisforinitialflawsize AT akariffin samplingmethodinprobabilisticsversionfiniteelementanalysisforinitialflawsize AT kikuchimasanori samplingmethodinprobabilisticsversionfiniteelementanalysisforinitialflawsize AT sabdullah samplingmethodinprobabilisticsversionfiniteelementanalysisforinitialflawsize |