Abstract:The objective of this paper is to perform free vibration analysis of a cracked cantilever and to analyze the relation between the modal natural frequency with crack depth, modal natural frequency with crack location. Also the relation among the crack depth, crack location and natural frequency has been analyzed. Only single cracks at different depths and at different locations are evaluated. And the analysis reveals a relationship between crack depth and modal natural frequency. As we know when a structure suf… Show more
“…Similarly we can acquire λ 2 , w 2 by v k . Various existing modal decomposition methods (such as Levy, orthogonal polynomials fitting, ITD, ARMA modeling [1][2][3][4][5][6][7][8][9][10][11][12], etc.) is available for the vibration mode parameters extraction of u k and v k .…”
Section: Single Wave-packet Mode Function Fitting Of Vibration Signalmentioning
confidence: 99%
“…With infiltration of signal processing theories, there are numerous theories and methods [1][2][3][4][5][6][7][8][9][10][11][12][13] in the field of the vibration signal analysis, including transfer function solution, traditional mode analysis, time-frequency analysis, wavelet analysis and time series. All of them acquire some identities after analyzing a vibration signal, and then use pattern recognition for characteristic set classification and fault testing [1][2][3][4][5][6][7][8][9][10][11][12][13]. From the perspective of mechanical wave propagation, we propose a new approach to develop vibration signal in this paper.…”
From the perspective of mechanic wave propagation, a new approach to decompose a vibration signal is proposed in this paper. Define a series wave-packet mode functions, think a vibration signal of the sensor correcting is many resonance wave-packets linear super-position after propagation, reflection, diffraction and dispersion. The multi-wave-packets mode decomposition algorithm of vibration signal mainly includes two parts, that is, wave-packet center detection and extraction of wave-packet parameters. Assume the resonance wave-packet center signal value is maximum in the local time-frame, each possible wave-packet center mode fitting is done with an additional-window sliding manner, at the same time, corresponding to parameters are extracted. These parameters represent every mechanical fluctuation of the sensor collecting. Meanwhile, they can recover the signal better and provide many characteristics for signal detection and fault diagnosis. By applying the algorithm to the In-line vibration inspection of anchor screws in light rail, it has been proven that the wave-packet mode parameters obtained from the algorithm is very useful for connection looseness testing and fault diagnosis.
“…Similarly we can acquire λ 2 , w 2 by v k . Various existing modal decomposition methods (such as Levy, orthogonal polynomials fitting, ITD, ARMA modeling [1][2][3][4][5][6][7][8][9][10][11][12], etc.) is available for the vibration mode parameters extraction of u k and v k .…”
Section: Single Wave-packet Mode Function Fitting Of Vibration Signalmentioning
confidence: 99%
“…With infiltration of signal processing theories, there are numerous theories and methods [1][2][3][4][5][6][7][8][9][10][11][12][13] in the field of the vibration signal analysis, including transfer function solution, traditional mode analysis, time-frequency analysis, wavelet analysis and time series. All of them acquire some identities after analyzing a vibration signal, and then use pattern recognition for characteristic set classification and fault testing [1][2][3][4][5][6][7][8][9][10][11][12][13]. From the perspective of mechanical wave propagation, we propose a new approach to develop vibration signal in this paper.…”
From the perspective of mechanic wave propagation, a new approach to decompose a vibration signal is proposed in this paper. Define a series wave-packet mode functions, think a vibration signal of the sensor correcting is many resonance wave-packets linear super-position after propagation, reflection, diffraction and dispersion. The multi-wave-packets mode decomposition algorithm of vibration signal mainly includes two parts, that is, wave-packet center detection and extraction of wave-packet parameters. Assume the resonance wave-packet center signal value is maximum in the local time-frame, each possible wave-packet center mode fitting is done with an additional-window sliding manner, at the same time, corresponding to parameters are extracted. These parameters represent every mechanical fluctuation of the sensor collecting. Meanwhile, they can recover the signal better and provide many characteristics for signal detection and fault diagnosis. By applying the algorithm to the In-line vibration inspection of anchor screws in light rail, it has been proven that the wave-packet mode parameters obtained from the algorithm is very useful for connection looseness testing and fault diagnosis.
“…Since the cracks with different depths can be easily replaced by torsional springs with corresponding stiffness, the Ostachowicz model enabled and simplified the modal analysis of the cracked structure. It was then widely used by a large amount of research [ 8 , 9 , 10 , 11 , 12 ]. Radhakrishnan used the Ostachowicz model to simplify a rectangular cantilever beam structure with cracked beams to help him study the effect of crack length on the spring stiffness, the fundamental frequency, vibration amplitude and the occurrence of resonance [ 8 ].…”
This paper presents an empirical torsional spring model for the inclined crack on a 3D-printed ABS cantilever beam. The work outlined deals mainly with our previous research about an improved torsional spring model (Khan-He model), which can represent the deep vertical (90°) crack in the structure. This study used an experimental approach to investigate the relationships between the crack angle and torsional spring stiffness. ABS cantilever beams with different crack depths (1, 1.3 and 1.6 mm) and angles (30, 45, 60, 75 and 90°) were manufactured by fused deposition modelling (FDM). The impact tests were performed to obtain the dynamic response of cracked beams. The equivalent spring stiffness was calculated based on the specimen’s fundamental frequency. The results suggested that an increased crack incline angle yielded higher fundamental frequency and vibration amplitude, representing higher spring stiffness. The authors then developed an empirical spring stiffness model for inclined cracks based on the test data. These results extended the Khan-He model’s application from vertical to inclined crack prediction in FDM ABS structures.
“…, 2016). Others established the free vibration model of a beam with cracks and determined that the position and depth of a crack and the crack size have different effects on the free vibration frequency (Nikhil and Jeyashree, 2016; Sutar and Pattnaik, 2010). In addition, the geometric free vibration of an Euler–Bernoulli curved beam was analysed, and a theoretical analysis of its frequency accuracy was performed (Sun et al.…”
Section: Introductionmentioning
confidence: 99%
“…Some researchers simulated the inhomogeneity of the material using the equivalent intrinsic strain and used Eringen's non-local elastic model to determine that the crack size has a significant influence on the brittle fracture characteristics of a material (Afsar and Sekine, 2000;Jamia et al, 2016). Others established the free vibration model of a beam with cracks and determined that the position and depth of a crack and the crack size have different effects on the free EC 40,1 vibration frequency (Nikhil and Jeyashree, 2016;Sutar and Pattnaik, 2010). In addition, the geometric free vibration of an Euler-Bernoulli curved beam was analysed, and a theoretical analysis of its frequency accuracy was performed (Sun et al, 2020).…”
PurposeThis study aimed to overcome the challenging issues involved in providing high-precision eigensolutions. The accurate prediction of the buckling load bearing capacity under different crack damage locations, sizes and numbers, and analysing the influence mechanism of crack damage on buckling instability have become the needs of theoretical research and engineering practice. Accordingly, a finite element method was developed and applied to solve the elastic buckling load and buckling mode of curved beams with crack damage. However, the accuracy of the solution depends on the quality of mesh, and the solution inevitably introduces errors due to mesh. Therefore, the adaptive mesh refinement method can effectively optimise the mesh distribution and obtain high-precision solutions.Design/methodology/approachFor the elastic buckling of circular curved beams with cracks, the section damage defect analogy scheme of a circular arc curved beam crack was established to simulate the crack size (depth), position and number. The h-version finite element mesh adaptive analysis method of the variable section Euler–Bernoulli beam was introduced to solve the elastic buckling problem of circular arc curved beams with crack damage. The optimised mesh and high-precision buckling load and buckling mode solutions satisfying the preset error tolerance were obtained.FindingsThe results of testing typical examples show that (1) the established section damage defect analogy scheme of circular arc curved beam crack can effectively realise the simulation of crack size (depth), position and number. The solution strictly satisfies the preset error tolerance; (2) the non-uniform mesh refinement in the algorithm can be adapted to solve the arbitrary order frequencies and modes of cracked cylindrical shells under the conditions of different ring wave numbers, crack positions and crack depths; and (3) the change in the buckling mode caused by crack damage is applicable to the study of elastic buckling under various curved beam angles and crack damage distribution conditions.Originality/valueThis study can provide a novel strategy for the adaptive mesh refinement for finite element analysis of elastic buckling of circular arc curved beams with crack damage. The adaptive mesh refinement method established in this study is fundamentally different from the conventional finite element method which employs the user experience to densify the meshes near the crack. It can automatically and flexibly generate a set of optimised local meshes by iteratively dividing the fine mesh near the crack, which can ensure the high accuracy of the buckling loads and modes. The micro-crack in curved beams is also characterised by weakening the cross-sectional stiffness to realise the characterisation of locations, depths and distributions of multiple crack damage, which can effectively analyse the disturbance behaviour of different forms of micro-cracks on the dynamic behaviour of beams.
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