Probabilistic stress intensity factor prediction of surface crack using bootstrap sampling method
Fatigue cracks commonly occur for in-service engineering structures. The main parameter for fatigue crack is the stress intensity factor (SIF). The SIF is an indicator of the fatigue crack growth and remaining life of a structure. Nonetheless, a problem was raised when determining the remaining life...
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| Format: | Article |
| Language: | English |
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Penerbit UTHM
2022
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| Online Access: | https://umpir.ump.edu.my/id/eprint/44301/ |
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| author | M.N.M., Husnain Mohd Akramin, Mohd Romlay Chuan, Zun Liang Mohd Shamil, Shaari Takahashi, Akiyuki M.H., Akmal |
| author_facet | M.N.M., Husnain Mohd Akramin, Mohd Romlay Chuan, Zun Liang Mohd Shamil, Shaari Takahashi, Akiyuki M.H., Akmal |
| author_sort | M.N.M., Husnain |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | Fatigue cracks commonly occur for in-service engineering structures. The main parameter for fatigue crack is the stress intensity factor (SIF). The SIF is an indicator of the fatigue crack growth and remaining life of a structure. Nonetheless, a problem was raised when determining the remaining life since the SIF could not be presented in physical phenomena. Thus, a technique is required to predict the range of SIF. Maximum and minimum bounds of SIF help estimate the range of remaining life. This paper aims to predict a structure's safe and failure region during the fracture process based on the SIFs. The primary tool is S-version Finite Element Model (S-FEM). Yet, S-FEM unable to compute random variables in analysis. Thus, the Bootstrap is developed and embedded into S-FEM for computing random variables in the analysis. The random variables are utilised to predict a range of SIFs. The SIFs are generated based on one hundred samples. The samples are randomly generated based on the distribution of material properties. A lognormal distribution is used to generate the material properties. The sampling process is computed based on the bootstrap method. The embedded Bootstrap in S-FEM was introduced as BootsrapS-FEM. When the samples exceed the fracture toughness of 29 MPa.?m, the failure region is indicated at the angle 2?/? = 0.627 to 1 with 6% of failure samples. The safe region is observed at angle 2?/? = 0 to 0.626 with 94% of the samples. The failure region is essential in this analysis to prevent unstable crack growth. |
| first_indexed | 2025-11-15T03:58:53Z |
| format | Article |
| id | ump-44301 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T03:58:53Z |
| publishDate | 2022 |
| publisher | Penerbit UTHM |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-443012025-09-22T08:16:46Z https://umpir.ump.edu.my/id/eprint/44301/ Probabilistic stress intensity factor prediction of surface crack using bootstrap sampling method M.N.M., Husnain Mohd Akramin, Mohd Romlay Chuan, Zun Liang Mohd Shamil, Shaari Takahashi, Akiyuki M.H., Akmal QA Mathematics TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery Fatigue cracks commonly occur for in-service engineering structures. The main parameter for fatigue crack is the stress intensity factor (SIF). The SIF is an indicator of the fatigue crack growth and remaining life of a structure. Nonetheless, a problem was raised when determining the remaining life since the SIF could not be presented in physical phenomena. Thus, a technique is required to predict the range of SIF. Maximum and minimum bounds of SIF help estimate the range of remaining life. This paper aims to predict a structure's safe and failure region during the fracture process based on the SIFs. The primary tool is S-version Finite Element Model (S-FEM). Yet, S-FEM unable to compute random variables in analysis. Thus, the Bootstrap is developed and embedded into S-FEM for computing random variables in the analysis. The random variables are utilised to predict a range of SIFs. The SIFs are generated based on one hundred samples. The samples are randomly generated based on the distribution of material properties. A lognormal distribution is used to generate the material properties. The sampling process is computed based on the bootstrap method. The embedded Bootstrap in S-FEM was introduced as BootsrapS-FEM. When the samples exceed the fracture toughness of 29 MPa.?m, the failure region is indicated at the angle 2?/? = 0.627 to 1 with 6% of failure samples. The safe region is observed at angle 2?/? = 0 to 0.626 with 94% of the samples. The failure region is essential in this analysis to prevent unstable crack growth. Penerbit UTHM 2022 Article PeerReviewed pdf en cc_by_nc_sa_4 https://umpir.ump.edu.my/id/eprint/44301/1/Probabilistic%20stress%20intensity%20factor%20prediction%20of%20surface.pdf M.N.M., Husnain and Mohd Akramin, Mohd Romlay and Chuan, Zun Liang and Mohd Shamil, Shaari and Takahashi, Akiyuki and M.H., Akmal (2022) Probabilistic stress intensity factor prediction of surface crack using bootstrap sampling method. International Journal of Integrated Engineering, 14 (8). pp. 118-125. ISSN 2229-838X. (Published) https://doi.org/10.30880/ijie.2022.14.08.015 https://doi.org/10.30880/ijie.2022.14.08.015 https://doi.org/10.30880/ijie.2022.14.08.015 |
| spellingShingle | QA Mathematics TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery M.N.M., Husnain Mohd Akramin, Mohd Romlay Chuan, Zun Liang Mohd Shamil, Shaari Takahashi, Akiyuki M.H., Akmal Probabilistic stress intensity factor prediction of surface crack using bootstrap sampling method |
| title | Probabilistic stress intensity factor prediction of surface crack using bootstrap sampling method |
| title_full | Probabilistic stress intensity factor prediction of surface crack using bootstrap sampling method |
| title_fullStr | Probabilistic stress intensity factor prediction of surface crack using bootstrap sampling method |
| title_full_unstemmed | Probabilistic stress intensity factor prediction of surface crack using bootstrap sampling method |
| title_short | Probabilistic stress intensity factor prediction of surface crack using bootstrap sampling method |
| title_sort | probabilistic stress intensity factor prediction of surface crack using bootstrap sampling method |
| topic | QA Mathematics TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery |
| url | https://umpir.ump.edu.my/id/eprint/44301/ https://umpir.ump.edu.my/id/eprint/44301/ https://umpir.ump.edu.my/id/eprint/44301/ |