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_aTHE0010096 (Local) _qHardback |
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_aUMPSA _beng _cUMPSA _erda |
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| 090 | _aFTKMA .S95 2022 r Thesis | ||
| 100 | 0 |
_aSylvia Dennis, _eauthor. |
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| 245 | 1 | 0 |
_aPredicting fatigue crack growth behaviour of coalesced cracks using the global-local superimposed technique / _cSylvia Dennis |
| 264 | 1 |
_aKuantan, Pahang : _bUMPSA, _c2022 |
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| 264 | 4 | _c© 2022 | |
| 300 |
_axii, 67 pages : _billustrations (some color) ; _c30 cm. |
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| 336 |
_2rdacontent _atext |
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| 337 |
_2rdamedia _aunmediated |
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| 338 |
_2rdacarrier _avolume |
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| 347 |
_2rda _atext file _bPDF |
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| 500 | _aFaculty of Mechanical and Automotive Engineering Technology | ||
| 502 | _aThesis (Master of Science) -- Universiti Malaysia Pahang – 2022 | ||
| 504 | _aIncludes bibliographical references | ||
| 610 | 2 | 0 |
_aFaculty of Mechanical and Automotive Engineering Technology _xDissertations |
| 650 | 0 |
_aUniversities and colleges _xDissertations |
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| 650 | 0 |
_aThesis _xDissertations |
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| 710 | _a | ||
| 942 |
_2lcc _cTHESIS |
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