Application of a Sclerometer to the Preliminary Assessment of Concrete Quality in Structures After Fire

Kowalski, Robert; Wróblewska, Julia

doi:10.2478/ace-2018-0069

Cited by 14 publications

(6 citation statements)

References 13 publications

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“…In addition, the following material tests were carried out to fully diagnose the foundation and obtain the material properties required for the numerical analysis: destructive tests of cores cut from the structure in order to assess the compressive strength of concrete; investigations concerning the homogeneity of strength characteristics, and the estimation of the concrete’s strength grade on the basis of sclerometer tests [ 17 , 18 ]; measurements of the extent and intensity of the carbonation process of the subsurface concrete layer conducted on the cut cores using the rainbow test [ 19 , 20 ]; localisation of the concrete’s reinforcement and the determination of its arrangement, its diameters, and the thickness of the concrete’s cover using a non-destructive electromagnetic method [ 21 ], followed by the comparison of the obtained results with archival documentation. Figure 2 shows a general flow chart of the analysis performed.…”

Section: Methodsmentioning

confidence: 99%

Dynamic Diagnostic Tests and Numerical Analysis of the Foundations for Turbine Sets

2023

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This paper shows current trends in testing and numerical analysis of dynamic loading in relation to a real frame foundation for a turbogenerator set. The analysis of the machine’s foundations, which are subjected to static and dynamic loads, is a complex problem combining the issues of geotechnics, structural engineering, and vibration theory. The authors present a case study of the assessment of the foundation’s technical condition. The main objective of this study is to perform and compare experimental and numerical dynamic analysis which includes the measurement of the acceleration, speed, and amplitude of the natural vibrations of the foundation during the operational speed of the turbogenerator. In addition, auxiliary material tests were carried out to fully diagnose the foundation and obtain the material properties required for the numerical analysis. They included both destructive and non-destructive of concrete strength, the evaluation of the degree of its carbonation, and the scanning of the reinforcement distribution. The research presented in the paper is intended to facilitate the preparation of appropriate data for the design of the foundation renovation and strengthening.

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Section: Methodsmentioning

confidence: 99%

Dynamic Diagnostic Tests and Numerical Analysis of the Foundations for Turbine Sets

2023

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“…The most commonly used NDT methods and techniques [12] are optical NDT [13], ultrasonic NDT [14], acoustic emission testing [15], radiographic NDT [16][17][18], eddycurrent testing [19], electromagnetic NDT [20], laser systems [21], sclerometric [22] and thermographic [23] methods for evaluating the durability of concrete structures by contact and non-contact. Figure 3 shows the main NDT techniques for concrete structures.…”

Section: Ndt Methodsmentioning

confidence: 99%

Concrete Cracks Detection and Monitoring Using Deep Learning-Based Multiresolution Analysis

et al. 2021

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In this paper, we propose a new methodology for crack detection and monitoring in concrete structures. This approach is based on a multiresolution analysis of a sample or a specimen of concrete material subjected to several types of solicitation. The image obtained by ultrasonic investigation and processed by a customized wavelet is analyzed at various scales in order to detect internal cracks and crack initiation. The ultimate objective of this work is to propose an automatic crack type identification scheme based on convolutional neural networks (CNN). In this context, crack propagation can be monitored without access to the concrete surface and the goal is to detect cracks before they are visible. This is achieved through the combination of two major data analysis tools which are wavelets and deep learning. This original procedure is shown to yield a high accuracy close to 90%. In order to evaluate the performance of the proposed CNN architectures, we also used an open access database, SDNET2018, for the automatic detection of external cracks.

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“…The most commonly used NDT methods and techniques [10] are optical NDT [11], ultrasonic NDT [12], acoustic emission testing [13], radiographic NDT [14,15,16], eddycurrent testing [17], electromagnetic NDT [18], laser systems [19], sclerometric [20] and thermographic [21] methods for evaluating the durability of concrete structures by contact and non-contact. Figure3 shows the main NDT techniques for concrete structures.…”

Section: Ndt Methodsmentioning

confidence: 99%

Concrete Cracks Monitoring using Deep Learning-based Multiresolution Analysis

Arbaoui¹,

Ouahabi²,

Jacques³

et al. 2021

Preprint

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In this paper, we propose a new methodology for crack monitoring in concrete structures. This approach is based on a n this paper, we propose a new methodology for monitoring cracks in concrete structures. This approach is based on a multi-resolution analysis of a sample or a specimen of the studied material subjected to several types of solicitation. The image obtained by ultrasonic investigation and processing by a dedicated wavelet will be analyzed according to several scales in order to detect internal cracks and crack initiation. The ultimate goal of this work is to propose an automatic crack type identification scheme based on convolutional neural networks (CNN). In this context, crack propagation can be monitored without access to the concrete surface and the goal is to detect cracks before they are visible on the concrete surface. The key idea allowing such a performance is the combination of two major data analysis tools which are wavelets and Deep Learning. This original procedure allows to reach a high accuracy close to 0.90. In this work, we have also implemented another approach for automatic detection of external cracks by deep learning from publicly available datasets.

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Application of a Sclerometer to the Preliminary Assessment of Concrete Quality in Structures After Fire

Cited by 14 publications

References 13 publications

Dynamic Diagnostic Tests and Numerical Analysis of the Foundations for Turbine Sets

Dynamic Diagnostic Tests and Numerical Analysis of the Foundations for Turbine Sets

Concrete Cracks Detection and Monitoring Using Deep Learning-Based Multiresolution Analysis

Concrete Cracks Monitoring using Deep Learning-based Multiresolution Analysis

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