Imaging techniques for defect detection of fiber reinforced polymer‐bonded civil infrastructures

Qiu, Qiwen

doi:10.1002/stc.2555

Cited by 16 publications

(10 citation statements)

References 124 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Radar sensors operating at microwave and millimeter-wave frequencies have been used in non-destructive testing (NDT) applications for many years to detect material imperfections in dielectric materials such as glass fiber composites, 1 sandwich panels, 2 foams, 3 ceramics, 4 and polymer-bonded civil infrastructures. 5 Moreover, it is possible to evaluate coating layer thicknesses in a non-contact way from remote distance. 6 In most of these applications, a single probe is used in reflection mode that scans the specimen in two dimensions.…”

Section: Introductionmentioning

confidence: 99%

Radar‐based monitoring of glass fiber reinforced composites during fatigue testing

Moll

Maetz

Maelzer

et al. 2021

Struct Control Health Monit

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 99%

Radar‐based monitoring of glass fiber reinforced composites during fatigue testing

Moll

Maetz

Maelzer

et al. 2021

Struct Control Health Monit

View full text Add to dashboard Cite

“…is popular techniques to examine bond strength of steel fibers, 3 study interface between steel fiber and cementitious matrix, 4 characterize internal microstructure, 5 and evalaute behavior of bridge connections 6 . NDT based on vibration methods, imaging techniques, and nonlinear ultrasonic testing has been successfully applied to monitor deep foundation piles, 7 diagnose nonlinear effects in aircraft engines, 8 understand the behavior of transmission line conductors in field conditions by evaluating natural frequencies, 9 detect damage in fiber‐reinforced polymer‐bonded structures, 10 and describe modulated sidebands in metallic and carbon fiber‐reinforced polymer specimens 11 . A combination of SDT and NDT is also integrated in numerous research to study collapse mechanisms of wood masonry heritage buildings, 12 predict strength and stiffness of reinforced concrete shear walls, 13 and estimate moisture content in brick wall 14 …”

Section: Introductionmentioning

confidence: 99%

Smart monitoring of strengthened beams made of ultrahigh performance concrete using integrated and nonintegrated acoustic emission approach

Prem

Verma

Murthy

et al. 2021

Struct Control Health Monit

View full text Add to dashboard Cite

Summary Ultrahigh performance concrete (UHPC) is one of the recent advancements in construction building materials and popularly used as a precast applications or strengthening material. The current paper attempts to improve understanding about fracture and failure mechanisms of UHPC application as a strengthening material using acoustic emission (AE) technique. The paper proposes an integrated and nonintegrated approach to relate the mechanical energy with AE energy for (i) undamaged reinforced concrete (RC) beams and (ii) damaged RC beams strengthened with UHPC. The integrated approach evaluates the damage mechanisms by evaluating sentry function (logarithmic ratio of mechanical and acoustic energy), while nonintegrated approach considers superimposition of flexure and AE response, load versus AE energy behavior and damage index. To validate the proposed approach, experiments are conducted on (i) control RC beams and (ii) RC beams strengthened with UHPC layers of t, 1.5t, and 2t thickness (where t = 10 mm). From the study, it is found that analysis of structures using both the approaches can overcome corresponding limitations. Hence, to completely characterize the damage, both methods are recommended.

show abstract

“…Infrared thermography is an efficient nondestructive testing (NDT) method for fast, full-field, and contact-free inspection of large components. [1][2][3] Thermal diffusion waves are stimulated using an external excitation device, and the evolution of the surface temperature is recorded using a sensitive infrared camera. The stack of thermal images is then postprocessed for detection and quantification of subsurface defects or for material characterization.…”

Section: Introductionmentioning

confidence: 99%

Phase inversion in (vibro‐)thermal wave imaging of materials: Extracting the AC component and filtering nonlinearity

Hedayatrasa

Poelman

Segers

et al. 2021

Structural Contr & Hlth

View full text Add to dashboard Cite

In active infrared thermographic inspection of materials, heat wave is stimulated by activation of heat sources, e.g., through optical heat radiation or vibration-induced heat dissipation. Therefore, the monopolar (i.e., heating only) nature of excitation introduces an inevitable ascending trend in the measured thermal response. To obtain an improved thermal wave imaging quality, it is crucial to remove this ascending trend and to analyze the decoupled bipolar (i.e., AC) component of the thermal response. This study introduces the concept of phase inversion in thermographic inspection, as a deterministic method for (i) decoupling the AC component and (ii) filtering the prominent second-order nonlinearities from the thermal response. First, this "phase inversion thermography (PIT)" is theoretically substantiated by analysis of heat diffusion through the thickness of a solid material subjected to dissipative boundary conditions. Then, the performance of PIT in accurately decoupling the AC response from various excitation waveforms is verified by finite element simulation of optical infrared thermography on an anisotropic composite coupon. It is shown that by proper selection of the signal's initial phase and waveform duration, PIT yields the AC response with a zero-mean amplitude. At last, the experimental applicability of PIT is evaluated for two different test cases:(1) optical thermography on a backside-stiffened carbon fiber-reinforced polymer (CFRP) aircraft panel with a complex cluster of production defects and(2) low-power vibrothermography on an impacted CFRP coupon. It is shown that PIT, as a physics-based signal processing technique, robustly resolves the strongly transient onset of the excitation and systematically decouples an AC response which is equivalent to the thermal response to an ideally linear and bipolar excitation. The recorded thermal responses are post-processed through Fourier transform, and the enhanced thermal imaging quality and improved defect detectability of the decoupled AC component are demonstrated.

show abstract

Imaging techniques for defect detection of fiber reinforced polymer‐bonded civil infrastructures

Cited by 16 publications

References 124 publications

Radar‐based monitoring of glass fiber reinforced composites during fatigue testing

Radar‐based monitoring of glass fiber reinforced composites during fatigue testing

Smart monitoring of strengthened beams made of ultrahigh performance concrete using integrated and nonintegrated acoustic emission approach

Phase inversion in (vibro‐)thermal wave imaging of materials: Extracting the AC component and filtering nonlinearity

Contact Info

Product

Resources

About