Multisensor data fusion for impact-echo testing of concrete structures

Zhang, Ying; Wei, Xu-Hong; Tsai, Yi-Te; Zhu, Jinying; Fetrat, Farhad A.; Gucunski, Nenad

doi:10.1088/0964-1726/21/7/075021

Cited by 12 publications

(5 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It was observed that peak frequency data higher than 5000 Hz were obtained from around the perimeter of the shallow delamination defects. Previous researchers discussed the difficulties in signal interpretation of IE test data obtained around the perimeter of the shallow delamination defects [2,33]. In this study, only the frequency data lower than 5000 Hz was used to characterize the shallow delamination defects.…”

Section: Frequency Mapmentioning

confidence: 99%

Evaluation of Delamination in Concrete by IE Testing Using Multi-Channel Elastic Wave Data

Kee

Lee

Candelaria

2019

Sensors

View full text Add to dashboard Cite

The main objectives of this study are to develop a non-destructive test method for evaluating delamination defects in concrete by the Impact-echo test using multi-channel elastic wave data and to verify the validity of the proposed method by experimental studies in the laboratory. First, prototype equipment using an eight-channel linear sensor array was developed to perform elastic wave measurements on the surface of the concrete. In this study, three concrete slab specimens (1500 mm (width) by 1500 mm (length) by 300 mm (thickness)), with simulated delamination defects of various lateral dimensions and depth, were designed and constructed in the laboratory. Multi-channel elastic wave signals measured on the three concrete specimens were converted to the frequency-phase velocity image by using the phase-shift method. A data processing method was proposed to extract the dominant propagating waves and non-propagating waves from the dispersion images. The dominant wave modes were used to evaluate delamination defects in concrete. It was demonstrated that the surface wave velocity values were useful for characterizing the shallow delamination defects in concrete. In addition, the peak frequency of non-propagating wave modes extracted from the dispersion images gives information on the lateral dimensions and depths of the delamination defects. This study also discussed the feasibility of combined use of the results from propagating and non-propagating wave modes to better understand the information on delamination defects in concrete. As will be discussed, the multi-channel elastic wave measurements enable more accurate, consistent, and rapid measurements and data processing for evaluation of delamination defects in concrete than the single-channel sensing method.

show abstract

Section: Frequency Mapmentioning

confidence: 99%

Evaluation of Delamination in Concrete by IE Testing Using Multi-Channel Elastic Wave Data

Kee

Lee

Candelaria

2019

Sensors

View full text Add to dashboard Cite

show abstract

“…They have been used extensively to simulate different types of flaws and understand the results obtained with IE testing. From point of view of this paper, the sensitivity of IE to size of faults [ 23 ] and fusion of results from multiple sensors [ 24 ] are especially important.…”

Section: Impact-echo Methodsmentioning

confidence: 99%

Development of Impact-Echo Multitransducer Device for Automated Concrete Homogeneity Assessment

2021

View full text Add to dashboard Cite

A combination of multiple nondestructive testing (NDT) methods speeds up the assessment of concrete and increases the precision. This is why the UIR-Scanner was developed at Warsaw University of Technology. The scanner uses an Impact-Echo (IE) method with a unique arrangement of multiple transducers. This paper presents the development of the IE module using numerical models validated with experimental testing. It was found that rectangular arrangement of four transducers with the impactor in the middle is optimal for quick scanning of area for faults and discontinuities, changing the method from punctual to volumetric. A numerical study of void detectability depending on its position with respect to the IE module is discussed as well. After confirmation of the findings of models using experimental tests, the module was implemented into the scanner.

show abstract

“…Several different methods of using spectral data in order to visualize the health of structures have been proposed. Oh and Popovics [12], Kundu et al [18], Zhu [19], Hoegh and Khazanovich [17], Beniwal and Ganguli [13], Beniwal and Ganguli [30], and Zhang et al [31], have all proposed different spectral-based visualization methods for damage detection in concrete structures. The methods available vary in complexity, and are at least partially dependent on the damage of interest.…”

Section: Visualization Techniquesmentioning

confidence: 99%

“…Once the transducer has been applied at all of the points, a post-processing method can be applied to produce a B-scan of the scattering of field focus [30]. Zhang et al [31] carried out impact-echo testing in order to recover spectral data about delaminated zones and the bottom surface of the specimen in order to create spectral ratios that improve boundary definition of the delamination.…”

Section: Visualization Techniquesmentioning

confidence: 99%

“…NDT allows structures to be analyzed without damaging the structure. Many methods of NDT exist, including but not limited to various scanning techniques, visual inspection, chain dragging, fiberoptic sensors [51], computer vision [31,32,35,71,72], acoustic emission sensors [44,60,64,66,81], and air-coupled and contact impact-echo techniques [5,27,39,41,46,47,49,62,77].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Air-coupled impact-echo damage detection in reinforced concrete using wavelet transforms

Epp

Cha

2016

Smart Mater. Struct.

View full text Add to dashboard Cite

Decline of the state of infrastructure in North America due to aging over the past decades has spawned burgeoning interest in the detection of internal damage of reinforced concrete (RC) structures via nondestructive testing. This study proposes a new impact-echo analysis method using wavelet transforms. The signals recorded from the microphones are analyzed using percentage of energy information to detect in-situ damages. Further, an artificial neural network (ANN) was used in order to test the feasibility of increasing the automaticity of the impact-echo method and a semi-autonomous sensing setup was used to the same end. The proposed wavelet transform-based approach showed improved accuracy when covering broader areas over conventional methods. The use of an ANN removed the need for a user-defined cutoff value for the classification of intact and damaged locations when a least-squared distance approach was used. It is postulated that this may contribute significantly to testing time reduction.

show abstract

Multisensor data fusion for impact-echo testing of concrete structures

Cited by 12 publications

References 16 publications

Evaluation of Delamination in Concrete by IE Testing Using Multi-Channel Elastic Wave Data

Evaluation of Delamination in Concrete by IE Testing Using Multi-Channel Elastic Wave Data

Development of Impact-Echo Multitransducer Device for Automated Concrete Homogeneity Assessment

Air-coupled impact-echo damage detection in reinforced concrete using wavelet transforms

Contact Info

Product

Resources

About