Designing, manufacturing, and testing of embedded EFPI strain sensor for damage detection of smart composite beams

2005 ◽  
Author(s):  
Lay M. Sim ◽  
Gang Zhou
Keyword(s):  
Damage Detection ◽  
Strain Sensor ◽  
Composite Beams ◽  
Smart Composite

A strain sensor based monitoring and damage detection system for a two-span beam bridge

2018 ◽  
pp. 1627-1634
Author(s):  
P. Waibel ◽  
O. Schneider ◽  
H.B. Keller ◽  
J. Müller ◽  
O. Schneider ◽  
...  
Keyword(s):  
Damage Detection ◽  
Detection System ◽  
Strain Sensor ◽  
Beam Bridge

scholarly journals A transmittance-based methodology for damage detection under uncertainty: An application to a set of composite beams with manufacturing variability subject to impact damage and varying operating conditions

2018 ◽  
Vol 18 (1) ◽  
pp. 318-333 ◽  
Author(s):  
Aggelos G Poulimenos ◽  
John S Sakellariou
Keyword(s):  
Damage Detection ◽  
Production Line ◽  
Composite Structures ◽  
Impact Damage ◽  
Parametric Representation ◽  
Composite Beams ◽  
Operating Conditions ◽  
Ratio Test ◽  
Detection Characteristic ◽  
Testing Procedures

Oftentimes, the complexity in manufacturing composite materials leads to corresponding structures which although they may have the same design specifications they are not identical. Thus, composite parts manufactured in the same production line present differences in their dynamics which combined with additional uncertainties due to different operating conditions may lead to the complete concealment of effects caused by small, incipient, damages making their detection highly challenging. This damage detection problem in nominally identical composite structures is pursued in this study through a novel data-based response-only methodology that is founded on the autoregressive with exogenous (ARX) excitation parametric representation of the transmittance function between vibration measurements at two different locations on the structure. This is a statistical time series methodology within which two schemes are formulated. In the first, a single-reference transmittance model representing the healthy structure is employed, while multiple transmittance models from a sample of available healthy structures are used in the second. The model residual signal constitutes for both schemes the damage detection characteristic quantity that is used in appropriate hypothesis testing procedures with the likelihood ratio test. The methodology is experimentally assessed via damage detection for a population of composite beams which are manufactured in the same production line representing the half of the tail of a twin-boom unmanned aerial vehicle. The damage detection results demonstrate the superiority of the multiple transmittance models based scheme that may effectively detect damages under significant manufacturing variability and varying boundary conditions.

scholarly journals Damage Detection in Fiber-Reinforced Foamed Urethane Composite Railway Bearers Using Acoustic Emissions

2020 ◽  
Vol 5 (6) ◽  
pp. 50 ◽  
Author(s):  
Pasakorn Sengsri ◽  
Chayut Ngamkhanong ◽  
Andre Luis Oliveira de Melo ◽  
Mayorkinos Papaelias ◽  
Sakdirat Kaewunruen
Keyword(s):  
Damage Detection ◽  
Structural Damage ◽  
Failure Modes ◽  
Acoustic Emissions ◽  
Numerical Data ◽  
Composite Beams ◽  
Fiber Reinforced ◽  
Traffic Demand ◽  
Three Point Bending ◽  
Railway Industry

To a certain degree, composite railway sleepers and bearers have been recently employed as a replacement for conventional timber sleepers. Importantly, attributed to the rise in traffic demand, structural health monitoring of track structural members is essential to improve the maintenance regime and reduce risks imposed by any structural damage. A potential modern technique for detecting damage in railway components by using energy waves is called acoustic emission (AE). This technique has been widely used for concrete structures in other engineering applications, but the application for composites is relatively limited. Recently, fiber-reinforced foamed urethane (FFU) composites have been utilized as railway sleepers and bearers for applications in the railway industry. Neither does a design standard exist, nor have the inspection and monitoring criteria been properly established. In this study, three-point bending tests were performed together with using the AE method to detect crack growth in FFU composite beams. The ultimate state behaviors are considered to obtain the failure modes. This paper is thus the world’s first to focus on damage detection approaches for FFU composite beams using AE technology, additionally identifying the load-deflection curves of the beams. According to the experimental results, it is apparent that the failure modes of FFU composite beams are likely to be in brittle modes. Through finite element method, the results were in good agreement with less than 0.14% discrepancy between the experimental and numerical data. The attractive insights into an alternative technique for damage assessment of the composite components will help railway engineers to establish structural monitoring guidelines for railway composite sleepers and bearers.

scholarly journals Sensitivity-enhancing feedback control–based damage detection in delaminated smart composite plates

2019 ◽  
Vol 15 (7) ◽  
pp. 155014771986222
Author(s):  
Yan Guo ◽  
Yanan Jiang ◽  
Zhenghua Qian ◽  
Bin Huang
Keyword(s):  
Feedback Control ◽  
Damage Detection ◽  
Composite Structures ◽  
Present Method ◽  
State Feedback ◽  
Feedback Controller ◽  
Pole Placement ◽  
Smart Composite ◽  
Frequency Shifts ◽  
State Feedback Controller

In this article, we present a sensitivity-enhancing feedback control–based damage detection method for piezoelectric actuator and sensor bonded composite laminates with delamination failures. The present method mainly consists of two parts: delamination modeling and feedback controller design. We first introduce the adopted improved layerwise theory–based mathematical model for delamination modeling with finite element implementation. The obtained second-order governing equations are transformed into the state space model for design of state feedback controller. Proper pole placement is required to enhance the sensitivity of frequency shifts to stiffness change caused by delamination. We investigated different delamination interfaces and longitudinal locations for studying the feasibility and efficiency of the present method. The present results clearly demonstrate that with the applied state feedback controller, the frequency shifts of the closed-loop system are significantly enhanced. The proposed sensitivity-enhancing feedback control can be used as an efficient tool for detecting delamination failures in smart composite structures.

Free vibration control of smart composite beams using particle swarm optimized self-tuning fuzzy logic controller

2014 ◽  
Vol 333 (21) ◽  
pp. 5244-5268 ◽  
Author(s):  
Nemanja D. Zorić ◽  
Aleksandar M. Simonović ◽  
Zoran S. Mitrović ◽  
Slobodan N. Stupar ◽  
Aleksandar M. Obradović ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Free Vibration ◽  
Vibration Control ◽  
Fuzzy Logic Controller ◽  
Particle Swarm ◽  
Composite Beams ◽  
Smart Composite ◽  
Self Tuning

Smart Composite Equipped with Damage Detection Using Tyranno Fiber

2002 ◽  
Vol 2002 (0) ◽  
pp. 339-340
Author(s):  
Shifumi AIZAWA ◽  
Toshio OGASAWARA ◽  
Takeshi OGAWA ◽  
Nobuo TAKEDA
Keyword(s):  
Damage Detection ◽  
Smart Composite

Static-Based Damage Detection Using Measured Strain and Deflection Data

2012 ◽  
Vol 256-259 ◽  
pp. 1097-1100
Author(s):  
Hee Chang Eun ◽  
Su Yong Park ◽  
Min Su Lee
Keyword(s):  
Damage Detection ◽  
Experimental Work ◽  
Strain Sensor ◽  
Measured Data ◽  
Baseline Data ◽  
Detection Methods ◽  
Measured Strain

This study investigates the effectiveness of the damage detection methods depending on the data measured by strain and deflection sensors. The experimental work considers the damage detection by measured data only without the baseline data of intact structure. It is shown that the strain sensor cannot indicate the damage if the sensor doesn’t locate at the damage. But the deflection sensor provides the information on the damage from the deflected curve by collected data. The results are illustrated in experimental work.

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