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| 003 | EG-GiCUC | ||
| 005 | 20250223032401.0 | ||
| 008 | 190917s2019 ua dho f m 000 0 eng d | ||
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_aEG-GiCUC _beng _cEG-GiCUC |
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| 041 | 0 | _aeng | |
| 049 | _aDeposite | ||
| 097 | _aPh.D | ||
| 099 | _aCai01.13.05.Ph.D.2019.Sa.D | ||
| 100 | 0 | _aSara Abdelaziz Ibrahim Selmy | |
| 245 | 1 | 0 |
_aDamage detection of beams using wavelet transform / _cSara Abdelaziz Ibrahim Selmy ; Supervised Sherif A. Mourad , Atef E. Bakry , Ahmed R. Desoki |
| 246 | 1 | 5 | _aالكشف عن التلف فى الكمرات باستخدام محول المويجات |
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_aCairo : _bSara Abdelaziz Ibrahim Selmy , _c2019 |
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_a74 P. : _bcharts , facsimiles , photoghraphs ; _c30cm |
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| 502 | _aThesis (Ph.D.) - Cairo University - Faculty of Engineering - Department of Civil Engineering | ||
| 520 | _aThis research studies the detection of damages in beams using wavelet transform method. The damage detection is done through two steps. First, detecting the damage location is indicated by either the continuous wavelet transform or the discrete wavelet transform. Second, the damage severity is calculated by a proposed equation which depends on the detail wavelet coefficients. Four finite element beam models (fixed-fixed, hinged-hinged, cantilever, two spans) are studied. Two proposed procedures are used for localizing the damage which is based on the fundamental mode shapes. Some aspects that effect the assessment of damage detection such as wavelet family, signal to noise ratio (SNR) and no. of sensors are studied | ||
| 530 | _aIssued also as CD | ||
| 653 | 4 | _aBeams | |
| 653 | 4 | _aDamage detection | |
| 653 | 4 | _aWavelet transform | |
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_aAhmed R. Desoki , _eSupervisor |
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_aAtef E. Bakry , _eSupervisor |
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| 700 | 0 |
_aSherif A. Mourad , _eSupervisor |
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| 856 | _uhttp://172.23.153.220/th.pdf | ||
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_aNazla _eRevisor |
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_aShimaa _eCataloger |
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_2ddc _cTH |
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_c73952 _d73952 |
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