Anovel approach is proposed in this article that the combination
of rotational mode shape with wa... more Anovel approach is proposed in this article that the combination of rotational mode shape with wavelet packet transform can detect the relatively small added mass (damage) location and its intensity in a beam structure. The rotational mode shapes of added mass state are obtained from a finite element model and used as input in wavelet analysis to capture signatures arising from even small damage in the beam. The proposed algorithm is able to clearly identify single and multiple added mass locations and their intensities in a cantilever beam. It is also tested with noise-contaminated signals to show its feasibility in practical situations.
This study investigates the identification of added mass and its location in the glass fiber
rein... more This study investigates the identification of added mass and its location in the glass fiber reinforced polymer (GFRP) beam structures. The main emphasis of this paper is to ascertain the importance of inclusion of rotational degrees of freedom (dofs) in the introduction of added mass or damage identification. Two identification indices that include the rotational dofs have been introduced in this paper: the modal force index (MFI) and the modal rotational curvature index (MRCI). The MFI amplifies damage signature using undamaged numerical stiffness matrix which is related to changes in the altered mode shapes from the original mode shapes. The MRCI is obtained by using a higher derivative of rotational mode shapes. Experimental and numerical results are compared with the existing methods leading to a conclusion that the contributions of the rotational modes play a key role in the identification of added mass. The authors believe that the similar results are likely in the case of damage identification also.
A new concept has been introduced that the combination of rotational mode shape with two-dimensio... more A new concept has been introduced that the combination of rotational mode shape with two-dimensional wavelet packet transform to detect the added mass (damage) in a glass fibre reinforced polymer composite plate structure. Wavelet packet transform is an advanced signal processing tool that can magnify the abnormality features in the signal. Rotational mode shapes are sensitive to damage in beam and plate structures. The proposed method employs an added mass, which slides to different locations to alter the local and global dynamic characteristics of the structure. Finite element analysis is carried out to obtain the first three rotational bending mode shapes, from the damaged plate structure, then used as input to two-dimensional wavelet packet transform. The numerical results of normalised diagonal detail wavelet packet coefficients show a peak at single or multiple added mass (damage) locations of a plate structure for two different boundary conditions. This method seems to be sensitive to relatively small amount of damage to the plate structure. A simple parametric study is carried out for the damage extent quantification. In addition, investigation with noise-contaminated signals shows its feasibility in the real applications.
Anovel approach is proposed in this article that the combination
of rotational mode shape with wa... more Anovel approach is proposed in this article that the combination of rotational mode shape with wavelet packet transform can detect the relatively small added mass (damage) location and its intensity in a beam structure. The rotational mode shapes of added mass state are obtained from a finite element model and used as input in wavelet analysis to capture signatures arising from even small damage in the beam. The proposed algorithm is able to clearly identify single and multiple added mass locations and their intensities in a cantilever beam. It is also tested with noise-contaminated signals to show its feasibility in practical situations.
This study investigates the identification of added mass and its location in the glass fiber
rein... more This study investigates the identification of added mass and its location in the glass fiber reinforced polymer (GFRP) beam structures. The main emphasis of this paper is to ascertain the importance of inclusion of rotational degrees of freedom (dofs) in the introduction of added mass or damage identification. Two identification indices that include the rotational dofs have been introduced in this paper: the modal force index (MFI) and the modal rotational curvature index (MRCI). The MFI amplifies damage signature using undamaged numerical stiffness matrix which is related to changes in the altered mode shapes from the original mode shapes. The MRCI is obtained by using a higher derivative of rotational mode shapes. Experimental and numerical results are compared with the existing methods leading to a conclusion that the contributions of the rotational modes play a key role in the identification of added mass. The authors believe that the similar results are likely in the case of damage identification also.
A new concept has been introduced that the combination of rotational mode shape with two-dimensio... more A new concept has been introduced that the combination of rotational mode shape with two-dimensional wavelet packet transform to detect the added mass (damage) in a glass fibre reinforced polymer composite plate structure. Wavelet packet transform is an advanced signal processing tool that can magnify the abnormality features in the signal. Rotational mode shapes are sensitive to damage in beam and plate structures. The proposed method employs an added mass, which slides to different locations to alter the local and global dynamic characteristics of the structure. Finite element analysis is carried out to obtain the first three rotational bending mode shapes, from the damaged plate structure, then used as input to two-dimensional wavelet packet transform. The numerical results of normalised diagonal detail wavelet packet coefficients show a peak at single or multiple added mass (damage) locations of a plate structure for two different boundary conditions. This method seems to be sensitive to relatively small amount of damage to the plate structure. A simple parametric study is carried out for the damage extent quantification. In addition, investigation with noise-contaminated signals shows its feasibility in the real applications.
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of rotational mode shape with wavelet packet transform can detect
the relatively small added mass (damage) location and its intensity
in a beam structure. The rotational mode shapes of added mass
state are obtained from a finite element model and used as input
in wavelet analysis to capture signatures arising from even small
damage in the beam. The proposed algorithm is able to clearly
identify single and multiple added mass locations and their intensities in a cantilever beam. It is also tested with noise-contaminated signals to show its feasibility in practical situations.
reinforced polymer (GFRP) beam structures. The main emphasis of this paper is to ascertain the importance
of inclusion of rotational degrees of freedom (dofs) in the introduction of added mass or damage
identification. Two identification indices that include the rotational dofs have been introduced in this paper:
the modal force index (MFI) and the modal rotational curvature index (MRCI). The MFI amplifies damage
signature using undamaged numerical stiffness matrix which is related to changes in the altered mode shapes
from the original mode shapes. The MRCI is obtained by using a higher derivative of rotational mode
shapes. Experimental and numerical results are compared with the existing methods leading to a conclusion
that the contributions of the rotational modes play a key role in the identification of added mass. The authors believe that the similar results are likely in the case of damage identification also.
transform to detect the added mass (damage) in a glass fibre reinforced polymer composite plate structure. Wavelet packet transform is an
advanced signal processing tool that can magnify the abnormality features in the signal. Rotational mode shapes are sensitive to damage in beam
and plate structures. The proposed method employs an added mass, which slides to different locations to alter the local and global dynamic
characteristics of the structure. Finite element analysis is carried out to obtain the first three rotational bending mode shapes, from the damaged
plate structure, then used as input to two-dimensional wavelet packet transform. The numerical results of normalised diagonal detail wavelet
packet coefficients show a peak at single or multiple added mass (damage) locations of a plate structure for two different boundary conditions.
This method seems to be sensitive to relatively small amount of damage to the plate structure. A simple parametric study is carried out for the damage extent quantification. In addition, investigation with noise-contaminated signals shows its feasibility in the real applications.
of rotational mode shape with wavelet packet transform can detect
the relatively small added mass (damage) location and its intensity
in a beam structure. The rotational mode shapes of added mass
state are obtained from a finite element model and used as input
in wavelet analysis to capture signatures arising from even small
damage in the beam. The proposed algorithm is able to clearly
identify single and multiple added mass locations and their intensities in a cantilever beam. It is also tested with noise-contaminated signals to show its feasibility in practical situations.
reinforced polymer (GFRP) beam structures. The main emphasis of this paper is to ascertain the importance
of inclusion of rotational degrees of freedom (dofs) in the introduction of added mass or damage
identification. Two identification indices that include the rotational dofs have been introduced in this paper:
the modal force index (MFI) and the modal rotational curvature index (MRCI). The MFI amplifies damage
signature using undamaged numerical stiffness matrix which is related to changes in the altered mode shapes
from the original mode shapes. The MRCI is obtained by using a higher derivative of rotational mode
shapes. Experimental and numerical results are compared with the existing methods leading to a conclusion
that the contributions of the rotational modes play a key role in the identification of added mass. The authors believe that the similar results are likely in the case of damage identification also.
transform to detect the added mass (damage) in a glass fibre reinforced polymer composite plate structure. Wavelet packet transform is an
advanced signal processing tool that can magnify the abnormality features in the signal. Rotational mode shapes are sensitive to damage in beam
and plate structures. The proposed method employs an added mass, which slides to different locations to alter the local and global dynamic
characteristics of the structure. Finite element analysis is carried out to obtain the first three rotational bending mode shapes, from the damaged
plate structure, then used as input to two-dimensional wavelet packet transform. The numerical results of normalised diagonal detail wavelet
packet coefficients show a peak at single or multiple added mass (damage) locations of a plate structure for two different boundary conditions.
This method seems to be sensitive to relatively small amount of damage to the plate structure. A simple parametric study is carried out for the damage extent quantification. In addition, investigation with noise-contaminated signals shows its feasibility in the real applications.