Machine Learning Based Seismic Assessment of Regular and Irregular RC Buildings on Hard and Soft Soil in Seismic Zone V Using STAAD.Pro

  • Unique Paper ID: 191700
  • Volume: 12
  • Issue: 8
  • PageNo: 7844-7851
  • Abstract:
  • The study emphasizes that a building’s seismic performance is strongly affected by both its structural configuration and the supporting soil conditions, a concern reinforced by the updated provisions of IS 1893:2025. In severe seismic zones such as Zone V, issues like mass and stiffness irregularities and unfavorable dynamic properties become more critical, especially when buildings rest on soft or highly deformable soils. These factors significantly influence lateral deformations, force distribution, and overall stability. Accordingly, the study aims to evaluate the combined effects of soil type and structural irregularity by comparing the seismic behavior of regular and irregular reinforced concrete buildings on soft and hard soils. The study analyzes the seismic behavior of regular and irregular reinforced concrete buildings designed as per IS 1893:2016, considering both soft and hard soil conditions. Key response parameters—lateral displacement, base shear, and bending moment—were evaluated. Results indicate that soil flexibility plays a dominant role in seismic response, with buildings on soft soil exhibiting significantly higher displacements, forces, and moments than those on hard soil. Linear regression models with R² values above 0.99 confirmed strong predictive capability. The findings highlight that the combination of structural irregularity and weak soil greatly increases seismic vulnerability, reinforcing the importance of soil–structure interaction and supporting performance-based seismic design in high seismic zones in line with IS 1893:2025.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{191700,
        author = {Yatesh Singh and Vinod Kumar Modi and RamanuJ Jaldhari},
        title = {Machine Learning Based Seismic Assessment of Regular and Irregular RC Buildings on Hard and Soft Soil in Seismic Zone V Using STAAD.Pro},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {8},
        pages = {7844-7851},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=191700},
        abstract = {The study emphasizes that a building’s seismic performance is strongly affected by both its structural configuration and the supporting soil conditions, a concern reinforced by the updated provisions of IS 1893:2025. In severe seismic zones such as Zone V, issues like mass and stiffness irregularities and unfavorable dynamic properties become more critical, especially when buildings rest on soft or highly deformable soils. These factors significantly influence lateral deformations, force distribution, and overall stability. Accordingly, the study aims to evaluate the combined effects of soil type and structural irregularity by comparing the seismic behavior of regular and irregular reinforced concrete buildings on soft and hard soils.
The study analyzes the seismic behavior of regular and irregular reinforced concrete buildings designed as per IS 1893:2016, considering both soft and hard soil conditions. Key response parameters—lateral displacement, base shear, and bending moment—were evaluated. Results indicate that soil flexibility plays a dominant role in seismic response, with buildings on soft soil exhibiting significantly higher displacements, forces, and moments than those on hard soil. Linear regression models with R² values above 0.99 confirmed strong predictive capability. The findings highlight that the combination of structural irregularity and weak soil greatly increases seismic vulnerability, reinforcing the importance of soil–structure interaction and supporting performance-based seismic design in high seismic zones in line with IS 1893:2025.},
        keywords = {Seismic analysis, Displacement, Base shear, Bending moment, Regression modeling, R² validation, Performance-based seismic design.},
        month = {January},
        }

Related Articles