In-situ and real-time tests on the damage evolution and fracture of thermal barrier coatings under tension: A coupled acoustic emission and digital image correlation method

Zhou, Meng; Yao, Weiliang; Yang, Xiao‐Hui; Zhang, Peng; Li, K.K.; Dai, Cuiying; Mao, Weiguo; Zhou, Yue; Lu, Chunsheng

doi:10.1016/j.surfcoat.2013.12.010

Cited by 42 publications

(28 citation statements)

References 40 publications

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“…Gas concentration must be maintained at a reasonable level as it indicates that the coal mine is safe. In China, for example, gas concentration security issues lead to many casualties each year, as shown in Table 1 (Zhou, 2014). For available data from 2008 to 2012, total Chinese coal mine gas accidents totalled 675, which led to 3039 deaths.…”

Section: Background and Literature Reviewmentioning

confidence: 99%

Prediction of Gas Concentration Based on the Opposite Degree Algorithm

Yue¹,

Gao²,

McAleer³

2017

J. Rev. Global Econ.

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Abstract:In order to study the dynamic changes in gas concentration, to reduce gas hazards, and to protect and improve mining safety, a new method is proposed to predict gas concentration, based on the opposite degree algorithm. A priori and a posteriori values, opposite degree computation, opposite space, prior matrix, and posterior matrix are 6 basic concepts of the opposite degree algorithm. Several opposite degree numerical formulae to calculate the opposite degrees between gas concentration data and gas concentration data trends can be used to predict empirical results. The opposite degree numerical computation (OD-NC) algorithm has greater accuracy than several common prediction methods, such as RBF (Radial Basis Function) and GRNN (General Regression Neural Network). The prediction mean relative errors of RBF, GRNN and OD-NC are 7.812%, 5.674% and 3.284%, respectively. The simulation experiments show that the OD-NC algorithm is feasible and effective in practice.

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Section: Background and Literature Reviewmentioning

confidence: 99%

Prediction of Gas Concentration Based on the Opposite Degree Algorithm

Yue¹,

Gao²,

McAleer³

2017

J. Rev. Global Econ.

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“…The sampling rate of the camera was set as one image per second in this work. The detailed information was described in our previous works [16,[18][19][20][21][22]. In order to observe the crack nucleation and propagation patterns clearer, we added a telephoto zoom Nikon lens and a 490 nm optical band pass filter in front of the camera (see Fig.…”

Section: Sample Preparationmentioning

confidence: 99%

High temperature digital image correlation evaluation of in-situ failure mechanism: An experimental framework with application to C/SiC composites

Mao

Chen

et al. 2016

Materials Science and Engineering: A

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a b s t r a c tA high temperature digital image correlation (DIC) technique was developed, which was applied to study the in-situ fracture behavior of a carbon fibre reinforced silicon carbide matrix (C/SiC) composite. The displacement distribution and cracking information of the C/SiC single edge notched beam specimen can be monitored real-time, thanks to the improved DIC technique with special speckle patterns that can reach up to 1600°C. The results showed that the brittle to ductile transition temperature of C/SiC composites is about 1300°C. The new failure mechanisms of C/SiC composites at different experimental temperatures were further verified with the aid of X-ray diffraction and scanning electron microscope (SEM) techniques. In addition, the relationships between the fracture toughness, first-crack strength of C/ SiC composites and environmental temperature were deduced. The proposed experimental method and testing results may shed some light on assessing the reliability and durability of C/SiC composites at high temperatures.

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“…The sampling rate of the camera was set as one image per second. The detailed information was described in our previous works [27,[33][34][35][36]. In order to observe the crack nucleation and propagation patterns clearer，a telephoto lens with an optical enlargement factor of 200X was equipped in front of the camera, as shown in Fig.…”

Section: Senb Testsmentioning

confidence: 99%