Surface Wave Velocity-Stress Relationship in Uniaxially Loaded Concrete

Shokouhi, Parisa; Zoëga, Andreas; Wiggenhauser, Herbert; Fischer, Gregor

doi:10.14359/51683700

Cited by 9 publications

(4 citation statements)

References 13 publications

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“…These observations were also reported in previous studies [40,41]. Shokouhi et al note that the amplitude of the received signal is a more sensitive parameter for assessing damage appearance than the evolution of the time of propagation [42]. However, these two parameters are difficult to evaluate correctly, as a decrease of the amplitude causes the signal to reach the noise level, potentially causing a large error in the determination of the time of propagation.…”

Section: Damage Indexsupporting

confidence: 82%

Online monitoring of cracking in concrete structures using embedded piezoelectric transducers

Dumoulin

Karaiskos

Sener³

2014

Smart Mater. Struct.

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Abstract.On-line Damage Detection is of high interest in the field of concrete structures and more generally within the construction industry. The current economic requirements impose the reduction of the operating costs related to such inspection while the security and the reliability of structures must constantly be improved. In this paper, non destructive testing is applied using piezoelectric transducers embedded in concrete structures. These transducers are especially adapted for on-line ultrasonic monitoring, due to their low cost, small size and broad frequency band. These recent transducers are called Smart Aggregates (SMAGs). The technique of health monitoring developed in this study is based on a Ultrasonic Pulse Velocity (UPV) test with embedded ultrasonic emitter-receiver pair (pitch-catch). The damage indicator focuses on the early wave arrival. The Belgian company MS3 takes an interest in evaluating the quality of the concrete around the anchorage system of highway security barriers after important shocks. The failure mechanism can be viewed as a combination of a bending and the failure of the anchorages. Accordingly, the monitoring technique has been applied both on a three-points bending test and several pull-out tests. The results indicate a very high sensitivity of the method which is able to pick-up the crack initiation phase and follow the crack propagation over the whole duration of the test.

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Section: Damage Indexsupporting

confidence: 82%

Online monitoring of cracking in concrete structures using embedded piezoelectric transducers

Dumoulin

Karaiskos

Sener³

2014

Smart Mater. Struct.

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“…Besides, the change in stress causes new microcracks to open and further complicates the results' interpretation. This is confirmed by the mathematical model presented in [13]. The dispersion effect is further applied [14].…”

Section: Methodssupporting

confidence: 61%

Self-Excited Acoustical System Frequency Monitoring for Refractory Concrete under Uniaxial Compression

et al. 2021

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The characterization of materials, stress and fatigue state monitoring based on the acoustoelastic principle are gaining widespread attention in recent years, mainly due to their advantages such as high sensitivity and non-destructive character. This article presents the application of a non-destructive acoustic method to test the degree of degradation of materials with which the heating boiler is coated. The combustion chamber is covered in materials when the temperature of the process itself increases, and has a very positive effect on fuel combustion. Unfortunately, with the passage of time, such materials undergo gradation. This article describes an innovative measuring system that has been successfully applied to monitor changes in resonance frequency under uniaxial compression in refractory grade material, which by definition is characterized by a high level of heterogeneity with a network of pre-existing cracks. The paper indicates that both stress and elasticity coefficients have an impact on the vibration frequency of the measuring system. Initial research was conducted to qualitatively determine the influence of these parameters on the measured frequency of the system.

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“…In our analysis, the microcrack parameters and material parameters of mortar matrix were adapted to match the material properties of concrete composition provided in [1] (concrete standard AB8 with cement type CEM I 42.5R with water/cement ratio of 0.45). In addition, a sub-model described in [6] is adapted to describe the stiffening effect related to microcrack closure observed in the elastic deformation regime [10]. As a result, a so-called closing pressure parameter (P c = 30M P a) has been introduced.…”

Section: Digital Concrete Twinmentioning

confidence: 99%

Identifying Damage In Concrete Using Coda Signals, Multi-Scale Simulations And Machine Learning

Timothy,

Vu,

Gehlen

et al. 2023

Proceedings of the 11th International Conference on Fracture Mechanics of Concrete and Concrete Structures

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The economic performance and to a certain degree the stability of modern society depend on the reliability and durability of concrete infrastructure. Therefore, maintenance of infrastructure remains one of the primary core tasks. If damage at an early stage is detected and precautionary measures are applied, maintenance costs can be significantly reduced, and lives can be saved by preempting failure. Concrete damage at an early stage is characterized by microcracks, much smaller than the aggregate size whose detection is not possible using conventional ultrasonic (US) monitoring. However, the multiple-scattered late arriving US signals (i.e., coda signals) contain rich information that detects weak changes. While the high precision and sensitivity of the coda signals can be used to identify precursor damage events that precede catastrophic failure, extracting this information is challenging. In this contribution, a multi-scale approach combining computational modeling and machine learning techniques are used to simulate the identification of damage level in concrete specimens using coda wave interferometry. Concrete damage is simulated using a reduced order multiscale model that combines continuum micromechanics, the integral form of the Lippmann-Schwinger equation solver for the strain field at the mesoscale and machine learning. Data from wave propagation simulations are used to compute the relative velocity change i.e. a measure of weak change in the material using coda wave interferometry. The results of the analysis and the potential for estimating precursor damage directly from ultrasonic signal measurements are discussed.

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Surface Wave Velocity-Stress Relationship in Uniaxially Loaded Concrete

Abstract: The sonic surface wave (or Rayleigh wave)

Cited by 9 publications

References 13 publications

Online monitoring of cracking in concrete structures using embedded piezoelectric transducers

Online monitoring of cracking in concrete structures using embedded piezoelectric transducers

Self-Excited Acoustical System Frequency Monitoring for Refractory Concrete under Uniaxial Compression

Identifying Damage In Concrete Using Coda Signals, Multi-Scale Simulations And Machine Learning

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