multisensor data fusion for impact-echo testing of concrete structures citation|Automated Data Fusion and Visualization for Impact : online sales An effective multisensor data fusion and visualization framework is proposed for accurate localization and effective visualization of delamination in concrete bridge decks based on .
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Based on the investigation of spatial variations of impact-echo signals for different source and receiver locations, a simple multisensor data fusion strategy is proposed to .Based on the investigation of spatial variations of impact-echo signals for .
Create citation alert. 0964-1726/21/7/075022 Abstract. Online .Download figure: Standard image Figure 3 shows the principle of the Halbach .Based on the investigation of spatial variations of impact-echo signals for different source and receiver locations, a simple multisensor data fusion strategy is proposed to increase the .
An effective multisensor data fusion and visualization framework is proposed for accurate localization and effective visualization of delamination in concrete bridge decks based on .The Impact-Echo method is known as a non-destructive testing for concrete structures. The technique is based on the use of low-frequency elastic waves that propagate in concrete to .Citations from other publications for 'Multisensor data fusion for impact-echo testing of concrete structures'. We present a systematic approach for fusion of multi-sensory nondestructive testing data. Our data set consists of impact-echo, ultrasonic pulse echo and ground .
An automated data fusion and visualization process is developed for nondestructive evaluation and direct visualization of internal defects of concrete structures . Based on the investigation of spatial variations of impact-echo signals for different source and receiver locations, a simple multisensor data fusion strategy is proposed to .
Additionally, it discusses the impact of data source variability on crack detection methods, showcasing the applications, strengths, and limitations of multi-sensor fusion . Based on the investigation of spatial variations of impact-echo signals for different source and receiver locations, a simple multisensor data fusion strategy is proposed to . An automated data fusion and visualization process is developed for nondestructive evaluation and direct visualization of internal defects of concrete structures based on impact-echo testing using .
An automated data fusion and visualization process is developed for nondestructive evaluation and direct visualization of internal defects of concrete structures based on impact-echo testing using source-receiver arrays. In the process, the ratio between the amplitudes of major echo peaks in the frequency spectrum (after noise reduction) and the .Semantic Scholar extracted view of "Automated Procedure to Identify Concrete Defects from Impact-Echo Data" by Z. Coleman et al. . The Impact-Echo method is known as a non-destructive testing for concrete structures. . a simple multisensor data fusion strategy is proposed to increase the accuracy of . Expand. 16. PDF.
Multisensor data fusion for impact-echo testing of concrete structures (PDF) Multisensor data fusion for impact-echo testing of concrete structures | Nenad Gucunski, Ying Zhang, and Yi-te Tsai - Academia.edu Employing several non-destructive testing (NDT) techniques are often necessary to achieve comprehensive and reliable assessment of concrete structures [1–4].Robotic [5–7] and scanner systems []have facilitated the collection of high-quality multi-sensor data.Nevertheless, individual sensor data is often independently analyzed and interpreted and . Semantic Scholar extracted view of "Spectral tomography of concrete structures based on impact echo depth spectra" by Pei-Ling Liu et al. . The impact echo method is a non-destructive test of concrete structures that was developed in 1980s and nowadays is extensively used because of its simplicity and robustness. . a simple multisensor data .
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Abstract We present a systematic approach for fusion of multi-sensory nondestructive testing data. Our data set consists of Impact-Echo, Ultrasonic Pulse Echo and Ground Penetrating Radar data . This paper presents a multi-sensor data collection and data fusion procedure for nondestructive evaluation/testing (NDE/NDT) of a concrete bridge deck. Three NDE technologies, vertical electrical impedance (VEI), ground-penetrating radar (GPR), and high-definition imaging (HDI) for surface crack detection, were deployed on the bridge deck. A .
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Based on the investigation of spatial variations of impact-echo signals for different source and receiver locations, a simple multisensor data fusion strategy is proposed to increase the accuracy of nondestructive evaluation of concrete structures using the impact-echo test. The data fusion strategy fuses the ratios between spectral amplitudes of the delamination and . An effective multisensor data fusion and visualization framework is proposed for accurate localization and effective visualization of delamination in concrete bridge decks based on impact echo (IE) nondestructive evaluation method. An effective multisensor data fusion and visualization framework is proposed for accurate localization and effective visualization of .
This research demonstrates the development and deployment of a multi-channel acoustic impact-echo sounding apparatus equipped with specially-configured tire chains for acoustic excitation of the concrete, microphones, an array of sensors for establishing spatial position estimates, and a data processing architecture for accurately detecting and mapping . Impact echo (IE) is one of the most frequently used nondestructive evaluation (NDE) techniques for detecting subsurface defects such as delamination, honeycombing, and voids in concrete structures. Abstract We present a systematic approach for fusion of multi-sensory nondestructive testing data. Our data set consists of Impact-Echo, Ultrasonic Pulse Echo and Ground Penetrating Radar data .A new two-tier method that utilized data fusion methods for condition assessment of reinforced concrete bridge decks using pixel and feature levels fusion of data collected from multiple nondestructive evaluation (NDE) methods such as ground penetrating radar, impact echo, half-cell potential, and electrical resistivity is presented.
Internal damage detection of reinforced concrete (RC) structures is a challenging field that has garnered increasing attention over the past decades due to a decline in the state of infrastructure in North America. As a nondestructive testing mode, the impact-echo method is currently a promising approach. However, it requires intensive testing to cover large-scale . An automated data fusion and visualization process is developed for nondestructive evaluation and direct visualization of internal defects of concrete structures based on impact-echo testing using source-receiver arrays. In the process, the ratio between the amplitudes of major echo peaks in the frequency spectrum (after noise reduction) and the . An effective multisensor data fusion and visualization framework is proposed for accurate localization and effective visualization of delamination in concrete bridge decks based on impact echo (IE . Our data set consist of impact-echo (IE), ultrasound (US) and ground penetrating radar (GPR) data collected on a large concrete slab with embedded simulated honeycombing defects.
This paper presents a multi-sensor data collection and data fusion procedure for nondestructive evaluation/testing (NDE/NDT) of a concrete bridge deck.Nondestructive testing of concrete structures plays an increasing role in civil engineering, although until now the full potential of such techniques has not been tapped. . Data will be displayed on the combined application of acoustic and electromagnetic impulse-echo methods and of data fusion related to the investigation of tendon ducts .
During the last 10 years, advanced non-destructive testing (NDT) methods like radar, ultrasonics and impact-echo have become available for concrete and masonry structures and can be used for the .
An automated data fusion and visualization process is developed for nondestructive evaluation and direct visualization of internal defects of concrete structures based on impact-echo testing using source-receiver arrays. In the process, the ratio between the amplitudes of major echo peaks in the frequency spectrum (after noise reduction) and the bottom echo signal is .The Impact-Echo Method: An Overview 1 Nicholas J. Carino,* Member, ASCE *Group Leader, Structures Division, Building and Fire Research Laboratory, National Institute of Standards and Technology, Gaithersburg, MD 20899-8611; PH 301-975-6063; [email protected] Abstract The impact-echo method is a technique for flaw detection in concrete.
Multisensor data fusion for impact
assessment of concrete structures [1–4]. Robotic [5–7] and scanner systems [8]have facilitated the collection of high-quality multi-sensor data. Nevertheless, individual sensor data is often independently analyzed and interpreted and B Christoph Völker [email protected] Parisa Shokouhi [email protected] on the investigation of spatial variations of impact-echo signals for different source and receiver locations, a simple multisensor data fusion strategy is proposed to increase the accuracy of nondestructive evaluation of concrete structures using the impact- “Complementary application of radar, impact-echo, and ultrasonics for testing concrete structures and metallic tendon ducts.” J. Transp. Res. Board , 1892, 170–177. Crossref
Nondestructive testing of concrete structures plays an increasing role in civil engineering, although until now the full potential of such techniques has not been tapped. . Data will be displayed on the combined application of acoustic and electromagnetic impulse-echo methods and of data fusion related to the investigation of tendon ducts .
Multisensor data fusion and visualization for impact echo testing
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multisensor data fusion for impact-echo testing of concrete structures citation|Automated Data Fusion and Visualization for Impact