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_1http://viaf.org/viaf/274647764/
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020 _a9789811083488
024 7 _a10.1007/978-981-10-8348-8
_2doi
040 _bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aTF537
_b2018 EB
100 1 _aLi, Dan
_9673069
_eautor
245 1 0 _aRail Crack Monitoring Using Acoustic Emission Technique
_cby Dan Li
264 1 _aSingapore
_bSpringer International Publishing
_c2018
300 _a1 recurso en línea (XXVIII, 136 páginas)
_bilustraciones
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
490 0 _aSpringer Theses, Recognizing Outstanding Ph.D. Research,
_x2190-5053
490 0 _aEngineering (Springer-11647)
505 0 _aIntroduction -- Literature review -- Propagation features and source location -- Sizing of fatigue cracks -- Field monitoring of rail cracks -- Conclusions and future work.
520 3 _aThis thesis provides an innovative strategy for rail crack monitoring using the acoustic emission (AE) technique. The field study presented is a significant improvement on laboratory studies in the literature in terms of complex rail profile and crack conditions as well as high operational noise. AE waves induced by crack propagation, crack closure, wheel-rail impact and operational noise were obtained through a series of laboratory and field tests, and analyzed by wavelet transform (WT) and synchrosqueezed wavelet transform (SWT). A wavelet power-based index and the enhanced SWT scalogram were sequentially proposed to classify AE waves induced by different mechanisms according to their energy distributions in the time-frequency domain. A novel crack sizing method taking advantage of crack closure-induced AE waves was developed based on fatigue tests in the laboratory. The propagation characteristics of AE waves in the rail were investigated, and Tsallis synchrosqueezed wavelet entropy (TSWE) with time was finally brought forward to detect and locate rail cracks in the field. The proposed strategy for detection, location and sizing of rail cracks helps to ensure the safe and smooth operation of the railway system. This thesis is of interest to graduate students, researchers and practitioners in the area of structural health monitoring.
988 _aEBSPRINGER_2018
650 7 _2embne
_9169121
_aFerrocarriles
_xVías
650 7 _2embne
_aAcústica
_9138038
776 0 8 _iEdición impresa:
_z9789811083471
776 0 8 _iEdición impresa:
_z9789811083495
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-10-8348-8
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b04/2020
_dz
_ek
_zSI