Damage Assessment of Reinforced Concrete Structures Using Fractal Analysis of Residual Crack Patterns

Farhidzadeh, Alireza; Dehghan-Niri, Ehsan; Moustafa, Ayman; Salamone, Salvatore; Whittaker, Andrew S.

doi:10.1007/s11340-013-9769-7

Cited by 111 publications

(69 citation statements)

References 24 publications

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“…The random generation uses the discrete element software (such as PFC 2D or PFC 3D ) to develop a microstructural model of asphalt concrete and predict the performances through virtual test [1][2][3][4][5][6]. However, tomographic images of asphalt concrete must be obtained before using http image processing technique, thereafter, three dimensional finite element model (3D-FEM) can be reconstructed by digital image processing (DIP), and image analysis, such as fractal dimension of concrete cracks, can be investigated [7][8][9]. The advantage is that the reconstructed microstructures provide an effective representation for actual microstructure comparing with random generation method [10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Influence of aggregate particles on mastic and air-voids in asphalt concrete

Qian

Wang

et al. 2015

Construction and Building Materials

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Section: Introductionmentioning

confidence: 99%

Influence of aggregate particles on mastic and air-voids in asphalt concrete

Qian

Wang

et al. 2015

Construction and Building Materials

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“…Image processing techniques have also developed to automatically extract cracks from images [8][9][10] . Taking advantage of these advancements, the authors have already developed a monofractal based crack quantification technique to link the effect of damage to the overall soundness of the structure 11 . They have observed that, as the structural damage increases the fractal dimension increases, too.…”

Section: Introductionmentioning

confidence: 99%

Multifractal analysis of two-dimensional images for damage assessment of reinforced concrete structures

Ebrahimkhanlou¹,

Farhidzadeh

Salamone

2015

SPIE Proceedings

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The most common assessment technique for reinforced concrete shear walls (RCSW) is Visual Inspection (VI). The current practice suffers from subjective and labor intensive nature as it highly relies on judgment and expertise of the inspectors. In post-earthquake events where urgent and objective decisions are crucial, failure of the conventional VI could be catastrophic. Conventional VI is mainly based on width of residual cracks. Given that cracks could close partially (e.g., due to weight of the structure, behavior of adjacent elastic members, earthquake displacement spectrum, etc.), methods based on crack width may lead to underestimating the state of damage and eventually an erroneous decision. This paper proposes a novel method to circumvent the aforementioned limitations by utilizing the information hidden in crack patterns. Crack patterns from images of the surface cracks on RCSW are extracted automatically, and Multifractal Analysis (MFA) are applied on them. Images were taken from two large scale low aspect ratio RCSW under quasi-static cyclic loading, and MFA showed clear correlation with tri-linear shear controlled behavior of walls which was observed in their backbone curves.

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“…Suggested in the article proposal for using thermographic techniques in order to evaluate the condition of supercapacitors does not exhaust the subject. In a list of publications, inter alia in [7][8][9], were shown various non-destructive techniques, which, after proper implementation, may be applied to assessment. The applied measurement system, methodology of sample preparation, and used methods of analysis, as well as the results of taken tests, are described below.…”

Section: Introductionmentioning

confidence: 99%

A Thermographic Measurement Approach to Assess Supercapacitor Electrical Performances

Galla

2017

Applied Sciences

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This paper describes a proposal for the qualitative assessment of condition of supercapacitors based on the conducted thermographic measurements. The presented measurement stand was accompanied by the concept of methodology of performing tests. Necessary conditions, which were needed to minimize the influence of disturbing factors on the performance of thermal imaging measurements, were also indicated. Mentioned factors resulted from both: the hardware limitations and from the necessity to prepare samples. The algorithm that was used to determine the basic parameters for assessment has been presented. The article suggests to use additional factors that may facilitate the analysis of obtained results. Measuring the usefulness of the proposed methodology was tested on commercial samples of supercapacitors. All of the tests were taken in conjunction with the classical methods based on capacitance (C) and equivalent series resistance (ESR) measurements, which were also presented in the paper. Selected results presenting the observed changes occurring in both: basic parameters of supercapacitors and accompanying fluctuations of thermal fields, along with analysis, were shown. The observed limitations of the proposed assessment method and the suggestions for its development were also described.

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Damage Assessment of Reinforced Concrete Structures Using Fractal Analysis of Residual Crack Patterns

Cited by 111 publications

References 24 publications

Influence of aggregate particles on mastic and air-voids in asphalt concrete

Influence of aggregate particles on mastic and air-voids in asphalt concrete

Multifractal analysis of two-dimensional images for damage assessment of reinforced concrete structures

A Thermographic Measurement Approach to Assess Supercapacitor Electrical Performances

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