scholarly journals Reconstructed Phase Space-Based Damage Detection Using a Single Sensor for Beam-Like Structure Subjected to a Moving Mass

2017 ◽  
Vol 2017 ◽  
pp. 1-20 ◽  
Author(s):  
Zhenhua Nie ◽  
Tuan Ngo ◽  
Hongwei Ma
Keyword(s):  
Phase Space ◽  
Damage Detection ◽  
Structural Damage ◽  
Moving Mass ◽  
Filter Function ◽  
Vibration Responses ◽  
Reconstructed Phase Space ◽  
Single Sensor ◽  
Structure Vibration ◽  
Phase Space Topology

This paper presents a novel damage detection method based on the reconstructed phase space of vibration signals using a single sensor. In this approach, a moving mass is applied as excitation source, and the structure vibration responses at different positions are measured using a single sensor. A Moving Filter Function (MFF) is also presented to be used to separate and filter the responses before phase space reconstruction. Using the determined time delay and embedding dimensions, the responses are translated from time domain into the spatial domain. The index CPST (changes of phase space topology) values are calculated from the reconstructed phase space and used to identify structural damage. To demonstrate the method, six analysis scenarios for a beam-like structure considering the moving mass magnitude, damage location, the single sensor location, moving mass velocity, multiple types of damage, and the responses contaminated with noise are calculated. The acceleration and displacement responses are both used to identify the damage. The results indicate that the proposed method using displacement response is more sensitive to damage than that of acceleration responses. The results also proved that the proposed method can use a single sensor installed at different location of the beam to locate the damage/much damage reliably, even though the responses are contaminated with noise.

Bridge condition monitoring under moving loads using two sensor measurements

2019 ◽  
Vol 19 (3) ◽  
pp. 917-937 ◽  
Author(s):  
Zhenhua Nie ◽  
Jun Lin ◽  
Jun Li ◽  
Hong Hao ◽  
Hongwei Ma
Keyword(s):  
Damage Detection ◽  
Structural Damage ◽  
Damage Index ◽  
Structural Vibration ◽  
Measurement Information ◽  
Moving Mass ◽  
Moving Vehicle ◽  
Bridge Model ◽  
Vibration Responses ◽  
Beam Bridge

A novel damage detection approach using only two sensors to detect the damage in beam bridges subjected to a moving vehicle is proposed in this article. In this approach, a moving mass is considered representing a vehicle moving across the bridge, and structural vibration responses at two locations are measured from a pair of sensors. A moving window is defined with a certain length determined by the sampling frequency and the fundamental frequency of the measured responses. The windowed pair time series extracted from these two measured responses are used to calculate the cross-correlation, which is used to define the local damage index. A simply supported beam bridge subjected to a moving mass is simulated to demonstrate the effectiveness and accuracy of the proposed approach. Numerical results indicate that the proposed approach can accurately identify the single and multiple damages using both displacement and acceleration responses, even when the responses are smeared with a significant noise. This indicates a good robustness to the noise effect. Experimental verifications on a laboratory beam bridge model demonstrate that the proposed approach can successfully identify the damage location using different selections of sensor pairs. Both the numerical and experimental results demonstrate that the new damage index is a good candidate for structural damage detection with very limited measurement information.

scholarly journals PC Tendon Damage Detection Based on Change of Phase Space Topology

2018 ◽  
Vol 16 (8) ◽  
pp. 416-428 ◽  
Author(s):  
Porjan Tuttipongsawat ◽  
Eiichi Sasaki ◽  
Keigo Suzuki ◽  
Takuya Kuroda ◽  
Kazuo Takase ◽  
...  
Keyword(s):  
Phase Space ◽  
Damage Detection ◽  
Space Topology ◽  
Phase Space Topology

Structural interrogation using phase space topology of the wind-induced responses

2017 ◽  
Vol 24 (14) ◽  
pp. 3148-3172
Author(s):  
Riya C George ◽  
Sudib K Mishra
Keyword(s):  
Phase Space ◽  
Structural Damage ◽  
Model Building ◽  
Chaotic Signal ◽  
Experimental Investigations ◽  
Damage Scenarios ◽  
Space Topology ◽  
Frame Building ◽  
Low Dimensional ◽  
Phase Space Topology

The applicability of the phase space interrogation (PSI) methodology for structural health monitoring (SHM) is limited on account of the fact that the structure needs to be excited by a low dimensional chaotic signal. The present study demonstrates that the phase space interrogation can still be applied to structures subjected to ambient/moderate wind excitations. Key to this extension is the relative low dimensionality of the wind-induced structural responses, amenable to phase space embedding by virtue of Takens’ embedding theorem. The so-formed pseudo-attractor is shown to sufficiently reflect the changes in system dynamics induced by structural damage(s). A widely employed damage feature, namely, the changes in phase space topology (CPST) is subsequently employed to the reconstructed attractor to link it with the presence, severity, as well as localization of damage(s). The CPST is established as a legitimate damage-sensitive feature by studying its variability with alternative damage scenarios in a multistoried frame building subjected to wind excitations. The performance of the methodology is demonstrated under different degrees of noise contamination in the measured responses as well as varying intensity of wind speed. The statistical robustness of the procedure is also assessed. The numerical findings are supported by the evidence from a limited number of experimental investigations carried out on a model building with inflicted damage scenarios. The wind loadings for the tests are simulated using a wind tunnel testing facility. Finally, a simple analysis is presented that establish the viability of the phase space analysis analytically.

Damage Detection Using Dissimilarity in Phase Space Topology of Dynamic Response of Structure Subjected to Shock Wave Loading

2018 ◽  
Vol 1 (4) ◽  
Author(s):  
Lavish Pamwani ◽  
Amit Shelke
Keyword(s):  
Phase Space ◽  
Damage Detection ◽  
System Analysis ◽  
Singular System ◽  
Second Phase ◽  
Progressive Damage ◽  
Damage State ◽  
Space Topology ◽  
Damage States ◽  
Phase Space Topology

Shockwave is a high pressure and short duration pulse that induce damage and lead to progressive collapse of the structure. The shock load excites high-frequency vibrational modes and causes failure due to large deformation in the structure. Shockwave experiments were conducted by imparting repetitive localized shock loads to create progressive damage states in the structure. Two-phase novel damage detection algorithm is proposed, that quantify and segregate perturbative damage from microscale damage. The first phase performs dimension reduction and damage state segregation using principal component analysis (PCA). In the second phase, the embedding dimension was reduced through empirical mode decomposition (EMD). The embedding parameters were derived using singular system analysis (SSA) and average mutual information function (AMIF). Based, on Takens theorem and embedding parameters, the response was represented in a multidimensional phase space trajectory (PST). The dissimilarity in the multidimensional PST was used to derive the damage sensitive features (DSFs). The DSFs namely: (i) change in phase space topology (CPST) and (ii) Mahalanobis distance between phase space topology (MDPST) are evaluated to quantify progressive damage states. The DSFs are able to quantify the occurrence, magnitude, and localization of progressive damage state in the structure. The proposed algorithm is robust and efficient to detect and quantify the evolution of damage state for extreme loading scenarios.

Damage Detection Based on the Cross Correlation Function Amplitude Vector and its Application to the ASCE Benchmark Structure

2007 ◽  
Vol 353-358 ◽  
pp. 2317-2320 ◽  
Author(s):  
Zhe Feng Yu ◽  
Zhi Chun Yang
Keyword(s):  
Correlation Function ◽  
Damage Detection ◽  
Structural Damage ◽  
Cross Correlation ◽  
Relative Difference ◽  
Random Excitation ◽  
Cross Correlation Function ◽  
Vibration Responses ◽  
Specific Frequency ◽  
The Cross

A new method for structural damage detection based on the Cross Correlation Function Amplitude Vector (CorV) of the measured vibration responses is presented. Under a stationary random excitation with a specific frequency spectrum, the CorV of the structure only depends on the frequency response function matrix of the structure, so the normalized CorV has a specific shape. Thus the damage can be detected and located with the correlativity and the relative difference between CorVs of the intact and damaged structures. With the benchmark problem sponsored by ASCE Task Group on Structural Health Monitoring, the CorV is proved an effective approach to detecting the damage in structures subject to random excitations.

Optimization of Wavelet Packets Analysis for Damage Detection in Composite Materials

2007 ◽  
Vol 334-335 ◽  
pp. 1149-1152
Author(s):  
Long Yu ◽  
Yun Ju Yan ◽  
Jie Sheng Jiang ◽  
Li Cheng
Keyword(s):  
Composite Materials ◽  
Damage Detection ◽  
Structural Damage ◽  
Damage Index ◽  
Wavelet Packets ◽  
Structural Vibration ◽  
Time Saving ◽  
Before And After ◽  
Vibration Responses ◽  
Artificial Neural Network Ann

A method based on entropy-based criteria is present to choose the optimal decomposition of Wavelet Packets Analysis (WPA) for damage detection in composite materials. The structural damage indexes constructed based on energy spectrum variation of the structural vibration responses decomposed using WPA before and after the occurrence of structural damage usually generate a complete binary tree to calculate its elements. Date mining is carried out in this paper by adoption entropy as the criteria to choose the optimal decomposition tree. In the decomposition process, only the sub-signals which contain main information of the original signal are decomposed to generate next level sub-signals. New damage index is constructed based on the optimal decomposition. Then the dimension of the damage index is reduced while still keeping its sensitive to damage. Whether Artificial Neural Network (ANN) or genetic algorithm (GA) is used in the further process of telling structural damage status from damage index, this reduction will make remarkable time saving.

scholarly journals PC Tendon Damage Detection Based on Phase Space Topology Changes in Different Frequency Ranges

2019 ◽  
Vol 17 (8) ◽  
pp. 474-488
Author(s):  
Porjant Tuttipongsawat ◽  
Eiichi Sasaki ◽  
Keigo Suzuki ◽  
Masato Fukuda ◽  
Naoki Kawada ◽  
...  
Keyword(s):  
Phase Space ◽  
Damage Detection ◽  
Space Topology ◽  
Topology Changes ◽  
Phase Space Topology
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