Sampling model in engineering analysis software for surface cracked structure
The aim of this paper is to demonstrate the accuracy of the mathematical model via computer simulation technique. The mathematical model is presented through sampling method in probabilistic fatigue surface crack growth analysis. A finite thickness plate with surface crack subjected to a fatigue loa...
| Main Authors: | , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2018
|
| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/24048/1/34.1%20Sampling%20model%20in%20engineering%20analysis%20software.pdf |
| _version_ | 1796993204705296384 |
|---|---|
| author | Mohd Akramin, Mohd Romlay M. N. M., Husnain |
| author_facet | Mohd Akramin, Mohd Romlay M. N. M., Husnain |
| author_sort | Mohd Akramin, Mohd Romlay |
| collection | UMP |
| description | The aim of this paper is to demonstrate the accuracy of the mathematical model via computer simulation technique. The mathematical model is presented through 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 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 | 2024-03-06T12:30:44Z |
| format | Conference or Workshop Item |
| id | UMPir24048 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T12:30:44Z |
| publishDate | 2018 |
| record_format | dspace |
| spelling | UMPir240482019-02-12T06:29:39Z http://umpir.ump.edu.my/id/eprint/24048/ Sampling model in engineering analysis software for surface cracked structure Mohd Akramin, Mohd Romlay M. N. M., Husnain TJ Mechanical engineering and machinery The aim of this paper is to demonstrate the accuracy of the mathematical model via computer simulation technique. The mathematical model is presented through 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 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. 2018-09 Conference or Workshop Item NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/24048/1/34.1%20Sampling%20model%20in%20engineering%20analysis%20software.pdf Mohd Akramin, Mohd Romlay and M. N. M., Husnain (2018) Sampling model in engineering analysis software for surface cracked structure. In: 7th International Conference on Computer Engineering and Mathematical Sciences 2018 (ICCEMS 2018) , 27 - 28 December 2018 , Langkawi, Malaysia.. p. 1.. (Unpublished) |
| spellingShingle | TJ Mechanical engineering and machinery Mohd Akramin, Mohd Romlay M. N. M., Husnain Sampling model in engineering analysis software for surface cracked structure |
| title | Sampling model in engineering analysis software for surface cracked structure |
| title_full | Sampling model in engineering analysis software for surface cracked structure |
| title_fullStr | Sampling model in engineering analysis software for surface cracked structure |
| title_full_unstemmed | Sampling model in engineering analysis software for surface cracked structure |
| title_short | Sampling model in engineering analysis software for surface cracked structure |
| title_sort | sampling model in engineering analysis software for surface cracked structure |
| topic | TJ Mechanical engineering and machinery |
| url | http://umpir.ump.edu.my/id/eprint/24048/1/34.1%20Sampling%20model%20in%20engineering%20analysis%20software.pdf |
| work_keys_str_mv | AT mohdakraminmohdromlay samplingmodelinengineeringanalysissoftwareforsurfacecrackedstructure AT mnmhusnain samplingmodelinengineeringanalysissoftwareforsurfacecrackedstructure |