Estimation of multiple crack propagation pattern in concrete using Voronoi tessellation method

Bayar, Gokhan; Bilir, Turhan

doi:10.1007/s12046-023-02223-y

Cited by 5 publications

(1 citation statement)

References 18 publications

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“…Furthermore, research has focused on the development of a predictive method for concrete cracks, leveraging ring test results in conjunction with a network-based system and machine learning algorithms. This methodology has been applied to estimate cracks by utilizing digital images on actual construction sites 6 – 8 . Collectively, these initiatives underscore the ongoing progress in technology for enhancing the crack characteristics of concrete through the incorporation of GGBS.…”

Section: Introductionmentioning

confidence: 99%

Mock-up performance evaluation study for crack reduction of blast furnace slag powder concrete mixed with expansive and swelling admixtures

Yoon,

Choi,

Jeon

2024

Sci Rep

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In this study, the drying shrinkage and crack reduction characteristics of blast furnace slag concrete mixed with expansive and swelling admixtures were investigated. Basic performance experiments were conducted using different mixtures of ground granulated blast-furnace slag (GGBS), with calcium sulfoaluminate as the expansive admixture and bentonite and hydroxypropyl methyl cellulose (HPMC) as swelling admixtures. Bentonite outperformed HPMC as a swelling admixture. Specimens were then prepared for mock-up tests to evaluate the drying shrinkage of blast furnace slag concrete with different combinations of bentonite, a hardening accelerator, and a self-healing agent. The addition of bentonite and calcium phosphate as a self-healing agent in small quantities reduced the drying shrinkage of the specimens, thereby reducing cracks. The cement mixture composed of 30% GGBS, 1% bentonite, and 1% calcium phosphate (30-E1-I1) showed the optimal performance among the specimens. Further, crack monitoring was performed in concrete made with ordinary Portland cement and optimal mixture 30-E1-I1. No cracks were observed for the optimal mixture. This shows that GGBS concrete can be used in practical and field applications, subject to mid- and long-term tests for cracking.

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Section: Introductionmentioning

confidence: 99%

Mock-up performance evaluation study for crack reduction of blast furnace slag powder concrete mixed with expansive and swelling admixtures

Yoon,

Choi,

Jeon

2024

Sci Rep

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A novel Voronoi-based convolutional neural network framework for pushing person detection in crowd videos

Alia,

Maree,

Chraibi

et al. 2024

Complex Intell. Syst.

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Analyzing the microscopic dynamics of pushing behavior within crowds can offer valuable insights into crowd patterns and interactions. By identifying instances of pushing in crowd videos, a deeper understanding of when, where, and why such behavior occurs can be achieved. This knowledge is crucial to creating more effective crowd management strategies, optimizing crowd flow, and enhancing overall crowd experiences. However, manually identifying pushing behavior at the microscopic level is challenging, and the existing automatic approaches cannot detect such microscopic behavior. Thus, this article introduces a novel automatic framework for identifying pushing in videos of crowds on a microscopic level. The framework comprises two main components: (i) feature extraction and (ii) video detection. In the feature extraction component, a new Voronoi-based method is developed for determining the local regions associated with each person in the input video. Subsequently, these regions are fed into EfficientNetV1B0 Convolutional Neural Network to extract the deep features of each person over time. In the second component, a combination of a fully connected layer with a Sigmoid activation function is employed to analyze these deep features and annotate the individuals involved in pushing within the video. The framework is trained and evaluated on a new dataset created using six real-world experiments, including their corresponding ground truths. The experimental findings demonstrate that the proposed framework outperforms state-of-the-art approaches, as well as seven baseline methods used for comparative analysis.

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Interaction mechanism of radial collinear cracks on a high-speed train brake disc

Lu,

He,

Shen

et al. 2025

Engineering Failure Analysis

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Estimation of multiple crack propagation pattern in concrete using Voronoi tessellation method

Cited by 5 publications

References 18 publications

Mock-up performance evaluation study for crack reduction of blast furnace slag powder concrete mixed with expansive and swelling admixtures

Mock-up performance evaluation study for crack reduction of blast furnace slag powder concrete mixed with expansive and swelling admixtures

A novel Voronoi-based convolutional neural network framework for pushing person detection in crowd videos

Interaction mechanism of radial collinear cracks on a high-speed train brake disc

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