A probabilistic approach for quantitative evaluation of fatigue cracks using nonlinear vibration responses. (28th March 2023)
- Record Type:
- Journal Article
- Title:
- A probabilistic approach for quantitative evaluation of fatigue cracks using nonlinear vibration responses. (28th March 2023)
- Main Title:
- A probabilistic approach for quantitative evaluation of fatigue cracks using nonlinear vibration responses
- Authors:
- Xu, Wei
Lu, Qitian
Zhu, Ruihu
Qian, Xiangdong
Radzieński, Maciej
Cao, Maosen
Ostachowicz, Wiesław - Abstract:
- Highlights: A probabilistic approach for the quantitative evaluation of fatigue cracks is proposed. The mechanism for extracting crack-induced dynamic nonlinearities is interpreted. Dispersed distributions of status feature clusters can visually characterize crack statuses. The status probability index can quantify the relative probabilities of crack statuses. Abstract: Fatigue cracks can cause nonlinearities in the vibration responses of cracked structural components. Nevertheless, there is a noticeable barrier to quantitatively evaluating the fatigue cracks using vibration responses owing to the difficulty in extracting crack-induced weak dynamic nonlinearities and quantifying probabilities of crack statuses. To overcome this barrier, this study proposes a probabilistic approach for quantitatively evaluating fatigue cracks. Crack-induced nonlinearities in the vibration responses are extracted by the singular spectrum analysis (SSA) and embodied in status features (SFs). The dispersed distributions of the SF clusters in the status space can visually characterize different crack statuses. In particular, the mechanism of the SSA for extracting crack-induced dynamic nonlinearities is interpreted in this study. In addition, the 3D probability density functions of the SFs are formed, based on which a status probability index is established to quantify the relative probabilities of different known crack statuses. Hereby, the statuses of fatigue cracks can be quantified in aHighlights: A probabilistic approach for the quantitative evaluation of fatigue cracks is proposed. The mechanism for extracting crack-induced dynamic nonlinearities is interpreted. Dispersed distributions of status feature clusters can visually characterize crack statuses. The status probability index can quantify the relative probabilities of crack statuses. Abstract: Fatigue cracks can cause nonlinearities in the vibration responses of cracked structural components. Nevertheless, there is a noticeable barrier to quantitatively evaluating the fatigue cracks using vibration responses owing to the difficulty in extracting crack-induced weak dynamic nonlinearities and quantifying probabilities of crack statuses. To overcome this barrier, this study proposes a probabilistic approach for quantitatively evaluating fatigue cracks. Crack-induced nonlinearities in the vibration responses are extracted by the singular spectrum analysis (SSA) and embodied in status features (SFs). The dispersed distributions of the SF clusters in the status space can visually characterize different crack statuses. In particular, the mechanism of the SSA for extracting crack-induced dynamic nonlinearities is interpreted in this study. In addition, the 3D probability density functions of the SFs are formed, based on which a status probability index is established to quantify the relative probabilities of different known crack statuses. Hereby, the statuses of fatigue cracks can be quantified in a probabilistic manner. The approach is experimentally validated on a steel cantilever beam that bears a fatigue crack, attached to which an electromagnetic shaker is used to generate transverse harmonic excitations. The excitation amplitudes are increased to produce increasing open extents of the fatigue crack. Simultaneously, steady-state velocity responses are acquired from the free end of the beam through non-contact measurement using a Doppler laser vibrometer. The results reveal that the crack statuses corresponding to different open extents are visually characterized and their relative probabilities are quantified. … (more)
- Is Part Of:
- Engineering fracture mechanics. Volume 281(2023)
- Journal:
- Engineering fracture mechanics
- Issue:
- Volume 281(2023)
- Issue Display:
- Volume 281, Issue 2023 (2023)
- Year:
- 2023
- Volume:
- 281
- Issue:
- 2023
- Issue Sort Value:
- 2023-0281-2023-0000
- Page Start:
- Page End:
- Publication Date:
- 2023-03-28
- Subjects:
- Fatigue crack -- Quantitative evaluation -- Nonlinear vibration response -- Status feature -- Non-contact laser measurement
Fracture mechanics -- Periodicals
Rupture, Mécanique de la -- Périodiques
Fracture mechanics
Periodicals
620.112605 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00137944 ↗
http://www.elsevier.com/journals ↗
http://www.elsevier.com/wps/find/homepage.cws_home ↗ - DOI:
- 10.1016/j.engfracmech.2023.109127 ↗
- Languages:
- English
- ISSNs:
- 0013-7944
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3761.350000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 26168.xml