EXPERIMENTAL VALIDATION OF A STRUCTURAL HEALTH MONITORING METHODOLOGY: PART III. DAMAGE LOCATION ON AN AIRCRAFT WING

2003 ◽  
Vol 259 (2) ◽  
pp. 365-385 ◽  
Author(s):  
G. MANSON ◽  
K. WORDEN ◽  
D. ALLMAN
Keyword(s):  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Experimental Validation ◽  
Aircraft Wing ◽  
Structural Health ◽  
Damage Location

Research on Parallel PZT Phased Array Based Structural Health Monitoring in CFPR

2013 ◽  
Vol 753-755 ◽  
pp. 2343-2346
Author(s):  
Ya Jie Sun ◽  
Yong Hong Zhang ◽  
Hui Qiang Tang ◽  
Cheng Shan Qian ◽  
Shen Fang Yuan
Keyword(s):  
Time Delay ◽  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Lamb Wave ◽  
Phased Array ◽  
Signal Amplitude ◽  
Gray Scale ◽  
One Dimensional ◽  
Structural Health ◽  
Damage Location

Phased array theroy can controll the Lamb wave beem steering in certain range by adding the time delay to the signals. Phased array theory is used to identify the damge in the structure. One dimensional PZT array is restricted in monitoring distance. Two parellel PZT sensors arrays are utilized to monitor the CFPR structure to extend the monitoring distance and to improve the precision of the damage locatilization. The experiment is done on the CFPR structure by using two parellel PZT arrays to detect the damage in the structure. The results of the experiment is shown on the mapped image. Gray-scale in the mapped image from dark to light corresponds to the signal amplitude from low to high. The highlight of the mapped image is the damage location in the structure. The monitoring results in the CFPR structure by two parellel PZT arrays is accurate and identical.

scholarly journals Maximum-likelihood estimation of damage location in guided-wave structural health monitoring

2011 ◽  
Vol 467 (2133) ◽  
pp. 2575-2596 ◽  
Author(s):  
Eric B. Flynn ◽  
Michael D. Todd ◽  
Paul D. Wilcox ◽  
Bruce W. Drinkwater ◽  
Anthony J. Croxford
Keyword(s):  
Maximum Likelihood ◽  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Maximum Likelihood Estimate ◽  
Characteristic Curve ◽  
Scattered Wave ◽  
Guided Wave ◽  
Likelihood Estimate ◽  
Structural Health ◽  
Damage Location

This paper describes the formulation of a maximum-likelihood estimate of damage location for guided-wave structural health monitoring (GWSHM) using a minimally informed, Rayleigh-based statistical model of scattered wave measurements. Also introduced are two statistics-based methods for evaluating localization performance: the localization probability density function estimate and the localizer operating characteristic curve. Using an ensemble of measurements from an instrumented plate with stiffening stringers, the statistical performance of the so-called Rayleigh maximum-likelihood estimate (RMLE) is compared with that of seven previously reported localization methods. The RMLE proves superior in all test cases, and is particularly effective in localizing damage using very sparse arrays consisting of as few as three transducers. The probabilistic basis used for modelling the complicated wave scattering behaviour makes the algorithm especially suited for localizing damage in complicated structures, with the potential for improved performance with increasing structure complexity.

DAMASCOS damage location demonstrator for structural health monitoring

2003 ◽  
Author(s):  
Graeme Manson ◽  
B. C. Lee ◽  
Graham Thursby ◽  
Keith Worden ◽  
Fengzhong Dong ◽  
...  
Keyword(s):  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Structural Health ◽  
Damage Location

DETECTION OF DAMAGE LOCATION USING A NOVEL SUBSTRUCTURE-BASED FREQUENCY RESPONSE FUNCTION APPROACH WITH A WIRELESS SENSING SYSTEM

2012 ◽  
Vol 12 (04) ◽  
pp. 1250029 ◽  
Author(s):  
T. K. LIN ◽  
S. L. HUNG ◽  
C. S. HUANG
Keyword(s):  
Structural Health Monitoring ◽  
Monitoring System ◽  
Health Monitoring ◽  
Dynamic Properties ◽  
Maintenance Cost ◽  
Structural Dynamic ◽  
Health Monitoring System ◽  
Structural Health ◽  
Damage Location ◽  
Structural Health Monitoring System

This paper intends to detect the damage locations for building structures under an earthquake excitation using a novel substructure-based FRF approach with a damage location index (SubFRFDI). An Imote2.NET-based wireless structural health monitoring system was developed and employed in the experimental studies for the sake of deployment flexibility, low maintenance cost, low power consumption, self-organization capability, and wireless communication capability. The feasibility of the proposed approach for damage detection was examined using the numerical response of a six-storey shear plane frame structure subjected to a base excitation. The results demonstrate that the SubFRFDI can be successfully used to identify the damage of different levels at a single site or multiple sites. The SubFRFDI is independent of the responses to various input earthquake excitations. Even with the addition of noises, the SubFRFDI still functions well. The feasibility and robustness of the proposed Imote2.NET-based wireless structural health monitoring system were assessed using a 1/8-scale three-storey steel-frame model. Following this, the proposed SubFRFDI was further applied to identifying the damage locations in a 1/4-scale six-storey steel structure with the proposed Imote2.NET-based wireless monitoring system. It was confirmed experimentally that good data transportation quality can be achieved via reliable data transmission and sensing protocol in identifying the structural dynamic properties, and the proposed SubFRFDI can be used to identify the damage locations effectively.

Optimized Actuator/Sensor Combinations for Structural Health Monitoring: Simulation and Experimental Validation

2015 ◽  
Author(s):  
SRIDARAN VENKAT ◽  
C. BOLLER ◽  
N.B. RAVI ◽  
N. CHAKRABORTY ◽  
G.S. KAMALAKAR ◽  
...  
Keyword(s):  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Experimental Validation ◽  
Structural Health

scholarly journals Integrative approach for transducer positioning optimization for ultrasonic structural health monitoring for the detection of deterministic and probabilistic damage location

2020 ◽  
pp. 147592172093317
Author(s):  
Vincentius Ewald ◽  
Roger Groves ◽  
Rinze Benedictus
Keyword(s):  
Fatigue Crack ◽  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Structural Design ◽  
Fitness Function ◽  
Sensor Placement ◽  
Design Parameters ◽  
Integrative Approach ◽  
Structural Health ◽  
Damage Location

The concept of structural health monitoring has been introduced to ensure structural integrity during the design lifetime of a structure. The main objectives of structural health monitoring are to detect, locate, quantify, and predict any damage that occurs during this lifetime of the structure so that effective and efficient maintenance and repair procedures can be performed. The location of structural damage events can be discretized as deterministic and probabilistic. A deterministic location specifies that the damage occurs in high-stress regions or other regions that can be predicted by the structural design, such as the most probable location for a fatigue crack. A probabilistic damage event is one where the location of the damage is independent of structural design parameters, such as hail impact, bird strike, and impact from ground vehicles. A structural health monitoring system should be able to handle both these damage occurrences. In our previous work, we optimized the transducer placement in Lamb wave–based structural health monitoring for the detection of a fatigue crack that emerges from a rivet hole. In this article, we demonstrate a combination of that method with a different sensor placement optimization method to add the capability to detect probabilistic damage location. First, we considered the ultrasonic wave attenuation in the structure and based on this attenuation, we created a fitness function. Since this fitness function is difficult to solve due to its combinatorial nature, we compared three common metaheuristic stochastic strategies: global random search, greedy algorithm, and genetic algorithm, for solving this problem. The results of this analysis were then integrated with the previously described deterministic approach, making a global structural health monitoring sensor placement strategy that balances the need to detect both pre-determined and random damage location occurrences. The analytical result of the study presented is validated by experiment.

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