Scientific Research

Corroded-RC-SCJs App

SCJ Application to Calculate the Properties of Concrete Connections Using Artificial Intelligence

In recent years, artificial intelligence (AI) technology has experienced significant advancements and increased usage across various fields, including concrete design. AI enables civil engineers and concrete designers to utilize sophisticated analytical tools and predictive models to enhance design processes and make more accurate decisions. The applications of AI in concrete design rely on analyzing massive amounts of data and extracting patterns and insights from it. Intelligent models built using AI techniques can provide accurate predictions for crucial properties of concrete structures, such as compressive strength, shear, bending, and other important mechanical characteristics. By employing techniques like artificial neural networks, deep learning, and machine learning, precise models can be developed to analyze and predict the behavior of concrete structures under different conditions. The accuracy of these models depends on the data used in training and the quality of the input variables. Overall, the use of AI in concrete design contributes to improving the accuracy of analysis and predictions, reducing costs and effort in the design process, and enhancing the performance and durability of concrete structures.

The SCJ application is a user interface (GUI) tool developed using artificial intelligence to provide an easy-to-use interface for predicting the mechanical properties of corroded reinforced slab column joints. Using SCJ application, any designer can easily calculate both the punching shear strength and ultimate deflection, as well as the expected failure mode. This application saves time that designers would spend in developing finite element models to study the behavior of corroded joints. To effectively utilize the application, simply follow these simple steps:

  • Enter the following values: The cross-section area of column, Slab’s effective depth, Column width, Span depth ratio, reinforcement ratio, Yield strength of reinforcement, Compressive strength of concrete, and Corrosion ratio
  • Click the “Predict” button.
  • The mechanical properties of the corroded slab connection will be displayed, including punching shear strength, ultimate deflection, and the expected failure mode.

By following these steps, you can make efficient use of the SCJ application and benefit from its accurate predictions and time-saving capabilities.

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