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Bearing capacity is a key component affecting the construction of a foundation and land utilization. The range of bearing capacity values can be implemented to determine the land diagnostic methods for sustainably building resilient structures. Various methodologies have been employed in this study to ascertain the bearing capacity of shallow foundations situated on the soil with numerous layers. The ultimate bearing capacity has been calculated using the Indian Standard Code (IS 6403:1981), with the following criteria controlling the process: groundwater level, footing size, embedded depth of the footing, and shear strength parameters. The research has attempted to estimate bearing capacity as a function of these properties using a competent Artificial Neural Network (ANN). The study encompasses the soil data of the Hooghly district of West Bengal. The prediction of bearing capacity in the Hooghly district of West Bengal, based on the soil properties is highlighted in this research.

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ANN-Based Approach to Predict Bearing Capacity of Shallow Foundation in Hooghly District

  • 会议论文

  • 发表日期：

    2026年

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  • Himali Deshmukh,
  • Abhipriya Halder,
  • Rajesh Nandi,
  • Sibapriya Mukherjee

摘要

Bearing capacity is a key component affecting the construction of a foundation and land utilization. The range of bearing capacity values can be implemented to determine the land diagnostic methods for sustainably building resilient structures. Various methodologies have been employed in this study to ascertain the bearing capacity of shallow foundations situated on the soil with numerous layers. The ultimate bearing capacity has been calculated using the Indian Standard Code (IS 6403:1981), with the following criteria controlling the process: groundwater level, footing size, embedded depth of the footing, and shear strength parameters. The research has attempted to estimate bearing capacity as a function of these properties using a competent Artificial Neural Network (ANN). The study encompasses the soil data of the Hooghly district of West Bengal. The prediction of bearing capacity in the Hooghly district of West Bengal, based on the soil properties is highlighted in this research.