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<p>Consumption of environmental sources for building materials has been considerably lifted in the construction domain and in research on Concrete. In addition to that, it is complex to predict mechanical parameters and form the required building structure. Previous techniques are made merely for crack prediction accuracy, crack tip velocity and Fracture mechanics parameters. The demonstrated technique is the latest Termite GoogleNet-based Crack Prediction (TGbCP) for evaluating the Crack Prediction Accuracy, Crack tip velocity and Fracture Mechanics Parameters for column beam structure. Initially, the raw material and its parameters are checked to ensure that are within their requirement range. Afterwards, the possible technique TGbCP is triggered to find the accurate mechanical parameters of the steel slag, basalt fiber composite concrete. Then, the crack prediction accuracy was studied under static load, and the Fracture mechanics parameters, compressive toughness, Flexible toughness, and fracture energy of the Concrete were also examined. Finally, the outcome of the proposed model is examined in ANSYS Workbench 2021 R2. The proposed approach showed 315&#xa0;N/m in Fracture Energy Parameter, which makes it an endurance concrete. In addition, the recorded compressive toughness is 82&#xa0;N/mm<sup>2</sup>, the flexibility toughness is 8.3&#xa0;N/mm<sup>2</sup>, and the crack prediction accuracy is 98.51%.</p>

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Optimized forecasting framework for estimating crack tip velocity in column beam

  • 期刊论文

  • 发表日期：

    2025年3月8日

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  • Goushiya Sayyed,
  • M. R. Sharma,
  • Rajkuwar Ajit Dubal,
  • Sachin C. Deshmukh,
  • M. D. Ahirrao,
  • Preeti Gajghate

摘要

Consumption of environmental sources for building materials has been considerably lifted in the construction domain and in research on Concrete. In addition to that, it is complex to predict mechanical parameters and form the required building structure. Previous techniques are made merely for crack prediction accuracy, crack tip velocity and Fracture mechanics parameters. The demonstrated technique is the latest Termite GoogleNet-based Crack Prediction (TGbCP) for evaluating the Crack Prediction Accuracy, Crack tip velocity and Fracture Mechanics Parameters for column beam structure. Initially, the raw material and its parameters are checked to ensure that are within their requirement range. Afterwards, the possible technique TGbCP is triggered to find the accurate mechanical parameters of the steel slag, basalt fiber composite concrete. Then, the crack prediction accuracy was studied under static load, and the Fracture mechanics parameters, compressive toughness, Flexible toughness, and fracture energy of the Concrete were also examined. Finally, the outcome of the proposed model is examined in ANSYS Workbench 2021 R2. The proposed approach showed 315 N/m in Fracture Energy Parameter, which makes it an endurance concrete. In addition, the recorded compressive toughness is 82 N/mm2, the flexibility toughness is 8.3 N/mm2, and the crack prediction accuracy is 98.51%.