Sensitivity analysis of fractal dimensions of crack maps on concrete and masonry walls

Rezaie, Amir Hossein; Mauron, Antoine J.P.; Beyer, Katrin

doi:10.1016/j.autcon.2020.103258

Cited by 55 publications

(27 citation statements)

References 61 publications

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“…Sebsadji and Chouicha in 2012 [5][6][7][8][9][10]23] showed that Fractals can be defined as disordered systems that are self-similar independent of scale of observation. Their fundamental property is a non-integer dimension called fractal dimension, which can measure.…”

Section: Fractal Analysismentioning

confidence: 99%

“…The methods used were either experimental (laboratory tests), or empirical or semi-empirical method or analytical methods. The current results of concrete production always indicate that they are oriented towards modern methods which are mainly based on numerical modeling [1][2][3][4][5][6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

“…On the other hand, our main goal is to take advantage of recent studies [5][6][7][8][9][10] that rely on granular distribution to quantify aggregate dosages. According to the parameters of the fractal dimension FD [1][2][3][4] and the granular extent D/d [2].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Application of a Granular Model to Identify the Particle Size of the Granular Mixtures of Concrete Based on Dune Sands

Abdeldjalil¹

2022

Sustainability of Concrete With Synthetic and Recycled Aggregates

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The control of the determination of concrete depends on the basic properties of the desired concrete and thanks to the type of granular mixture of concrete. We arrive at the required concrete quality. And in this study, we can identify the granular distribution class of concrete using the fractal model. In particular, the granular distribution can be determined by the fractal dimension, either for each granular component separately, or for the dry granular mixture of the concrete. The fractional dimension is obtained by transforming the particle size curve to a fractal line. In this study, we used some experimental results obtained from projects already carried out in arid regions. Knowing that we have applied parameters such as granular extent and fractional dimension to the study of these existing projects, we can define a dry mix of concrete through the granular distribution. Therefore, we used the program that we proposed previously of transforming the grain size curves to a fractal line which was obtained for each grain mixture with a very acceptable correlation.

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Section: Fractal Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Application of a Granular Model to Identify the Particle Size of the Granular Mixtures of Concrete Based on Dune Sands

Abdeldjalil¹

2022

Sustainability of Concrete With Synthetic and Recycled Aggregates

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“…However, it was not until recently that FD has been explored as feature for structural damage detection. It is important to note the recent work by Rezaie et al [25], where FD for crack pattern recognition is studied. It is also important to note the work by Wen et al [26] where FD is shown to be effective to realize fault diagnosis of rolling element bearings and cope with the effects of variation in operating conditions.…”

Section: Introductionmentioning

confidence: 99%

Damage Diagnosis for Offshore Wind Turbine Foundations Based on the Fractal Dimension

2020

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Cost-competitiveness of offshore wind depends heavily in its capacity to switch preventive maintenance to condition-based maintenance. That is, to monitor the actual condition of the wind turbine (WT) to decide when and which maintenance needs to be done. In particular, structural health monitoring (SHM) to monitor the foundation (support structure) condition is of utmost importance in offshore-fixed wind turbines. In this work a SHM strategy is presented to monitor online and during service a WT offshore jacket-type foundation. Standard SHM techniques, as guided waves with a known input excitation, cannot be used in a straightforward way in this particular application where unknown external perturbations as wind and waves are always present. To face this challenge, a vibration-response-only SHM strategy is proposed via machine learning methods. In this sense, the fractal dimension is proposed as a suitable feature to identify and classify different types of damage. The proposed proof-of-concept technique is validated in an experimental laboratory down-scaled jacket WT foundation undergoing different types of damage.

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“…Ebrahimkhanlou et al 34,35 showed that generalized fractal dimensions of surface crack patterns are strong representatives of the damage in concrete shear walls. Recently, Rezaie et al 36 investigated the sensitivity of the monofractal dimension of crack pattern for reinforced concrete to the input parameters.…”

mentioning

confidence: 99%

Post‐earthquake damage evaluation of non‐ductile RC moment frames using surface crack patterns

Hamidia

Ganjizadeh

2022

Structural Contr & Hlth

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In this paper, a methodology is developed for seismic damage identification of non-ductile reinforced concrete moment frames using surface crack images. A comprehensive database comprising 264 surface crack patterns from quasistatic test results of 61 non-ductile beam-column joint specimens at various damage levels is collected. The database covers a broad range of structural and geometric properties. Multifractal dimensions of the column and joint regions of damaged beam-column subassembly images are obtained and used as the complexity and irregularity index of the surface crack patterns. Predictive equations are developed that estimate the peak drift ratio during an earthquake using the multifractal dimensions of surface crack patterns. Six scenarios are considered for obtaining the predictive equations. The developed empirical equations rely on the multifractal dimensions along with the structural properties of the non-ductile beam-column joint. The peak drift ratio estimated by the proposed methodology can finally be used as the input engineering demand parameter to the existing fragility curves in the literature to identify the probability of exceedance from damage states of non-ductile reinforced concrete moment frames.

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Sensitivity analysis of fractal dimensions of crack maps on concrete and masonry walls

Cited by 55 publications

References 61 publications

Application of a Granular Model to Identify the Particle Size of the Granular Mixtures of Concrete Based on Dune Sands

Application of a Granular Model to Identify the Particle Size of the Granular Mixtures of Concrete Based on Dune Sands

Damage Diagnosis for Offshore Wind Turbine Foundations Based on the Fractal Dimension

Post‐earthquake damage evaluation of non‐ductile RC moment frames using surface crack patterns

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