Free vibration and damage identification of cracked functionally graded plates

Zhu, Li; Ke, Liao-Liang; Xiang, Yang; Zhu, Xinqun

doi:10.1016/j.compstruct.2020.112517

Cited by 24 publications

(3 citation statements)

References 53 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, it is necessary to explore the nonlinear vibration response characteristics of the thin cylindrical shell with a straight crack and complete the straight crack identification in the thin cylindrical shell. At present, the crack damage detection methods based on vibration response characteristics mainly focus on circumferential crack of the thin cylindrical shell or part-through crack of plate and beam [19,20] . There is no report on the damage detection of the straight crack, which is related to the complexity of the stress intensity factor (SIFs) of straight crack sections, the solution of local flexibility coefficients and the nonlinear vibration response.…”

Section: Introductionmentioning

confidence: 99%

Analytical approach for nonlinear vibration response of the thin cylindrical shell with a straight crack

Wang

Yin

et al. 2023

Nonlinear Dyn

View full text Add to dashboard Cite

Thin cylindrical shells are susceptible to cracking under long-term load and external impact, and it is of considerable scientific and technical value to investigate the nonlinear vibration response characteristics and monitor the health condition of the shell structure. Based on the Flügge shell theory, the nonlinear dynamic model for the thin cylindrical shell is established. By the partial Fourier transform combined with the residue theorem, the forced vibration generation and propagation mechanism of the thin cylindrical shell are investigated, and the analytical solution of forced vibration displacement in the space domain is obtained. Then, the local flexibility matrix is derived from the perspective of fracture mechanics, and the continuous coordination condition on both sides of the straight crack is constructed using the Linear Spring Model (LSM). Combined with the wave superposition principle, the analytical approach for nonlinear vibration response is proposed to reveal the evolution law of vibration characteristics of the thin cylindrical shell with a straight crack, and then a straight crack identification method based on natural frequency isolines and amplitude maximization methods is presented. Finally, the effect of various morphological information of the straight crack on the nonlinear vibration response characteristics of the thin cylindrical shell is studied in detail, and a numerical case is conducted to verify the effectiveness of the proposed straight crack identification method.

show abstract

Section: Introductionmentioning

confidence: 99%

Analytical approach for nonlinear vibration response of the thin cylindrical shell with a straight crack

Wang

Yin

et al. 2023

Nonlinear Dyn

View full text Add to dashboard Cite

show abstract

“…Wavelet transform can also be used as a means of crack location. The wavelet transform of mode shapes is widely used for the localization of cracks in beams and structures [ 15 , 16 , 17 , 18 ]. Wavelet transforms have excellent properties to extract the localized information in the of measurement noise [ 19 ].…”

Section: Introductionmentioning

confidence: 99%

Three-Stage Pavement Crack Localization and Segmentation Algorithm Based on Digital Image Processing and Deep Learning Techniques

Yang

Lin

et al. 2022

Sensors

View full text Add to dashboard Cite

The image of expressway asphalt pavement crack disease obtained by a three-dimensional line scan laser is easily affected by external factors such as uneven illumination distribution, environmental noise, occlusion shadow, and foreign bodies on the pavement. To locate and extract cracks accurately and efficiently, this article proposes a three-stage asphalt pavement crack location and segmentation method based on traditional digital image processing technology and deep learning methods. In the first stage of this method, the guided filtering and Retinex methods are used to preprocess the asphalt pavement crack image. The processed image removes redundant noise information and improves the brightness. At the information entropy level, it is 63% higher than the unpreprocessed image. In the second stage, the newly proposed YOLO-SAMT target detection model is used to locate the crack diseases in asphalt pavement. The model is 5.42 percentage points higher than the original YOLOv7 model on mAP@0.5, which enhances the recognition and location ability of crack diseases and reduces the calculation amount for the extraction of crack contour in the next stage. In the third stage, the improved k-means clustering algorithm is used to extract cracks. Compared with the traditional k-means clustering algorithm, this method improves the accuracy by 7.34 percentage points, the true rate by 6.57 percentage points, and the false positive rate by 18.32 percentage points to better extract the crack contour. To sum up, the method proposed in this article improves the quality of the pavement disease image, enhances the ability to identify and locate cracks, reduces the amount of calculation, improves the accuracy of crack contour extraction, and provides a new solution for highway crack inspection.

show abstract

“…In the context of inverse analysis of FG materials/structures, there are a few investigations concerned with time-independent FGMs. Such as the identification of constitutive parameters for metal-ceramic FGM (Bocciarelli et al , 2008), the identification of local damage for a FG beam (Lu et al , 2017), the damage identification of cracked FGM plates (Zhu et al , 2020) and the identifications concerned with graded thermal properties (Nedin et al , 2016; Chen et al , 2017; Vatulyan et al , 2019). Unfortunately, there seems nearly no report directly concerned with the inverse problem of VFGMs.…”

Section: Introductionmentioning

confidence: 99%

Numerical modeling of inverse problem of parameter identification for viscoelastic functionally graded materials/structures

Zhang

Yang

2021

View full text Add to dashboard Cite

PurposeThis paper attempts to develop an efficient algorithm to solve the inverse problem of identifying constitutive parameters in VFG (viscoelastic functionally graded) materials/structures.Design/methodology/approachAn adaptive recursive algorithm with high fidelity is developed to acquire the derivatives of displacements with respect to constitutive parameters, which are required for the accurate and stable gradient based inverse analysis. A two-step strategy is presented in the process of identification, by which the unknown parameters can be separately identified and the scale and complexity of the inverse VFG problem are reduced. At each step, the process of identification is treated as an optimization problem that is solved by the Levenberg–Marquardt method.FindingsThe solution accuracy of forward problems and derivatives of displacements can be stably achieved with different step sizes, and constitutive parameters of homogenous/regional-inhomogeneous VFG materials/structures can be effectively and accurately identified. By examining the reliability, resolution, impacts of reference information and noisy data, the effectiveness of the proposed approach is numerically verified via three numerical examples.Originality/valueAn adaptive recursive algorithm is developed for derivatives computing with high fidelity, providing a solid platform for the sensitivity analysis and thereby a two-step strategy in conjunction with Levenberg–Marquardt method is presented in the process of identification. Consequently, an effective algorithm is developed to identify constitutive parameters of homogenous/regional-inhomogeneous VFG materials/structures.

show abstract

Free vibration and damage identification of cracked functionally graded plates

Cited by 24 publications

References 53 publications

Analytical approach for nonlinear vibration response of the thin cylindrical shell with a straight crack

Analytical approach for nonlinear vibration response of the thin cylindrical shell with a straight crack

Three-Stage Pavement Crack Localization and Segmentation Algorithm Based on Digital Image Processing and Deep Learning Techniques

Numerical modeling of inverse problem of parameter identification for viscoelastic functionally graded materials/structures

Contact Info

Product

Resources

About