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This study presents an advanced approach that utilizes an open API-based technique of SAP2000 to get the best design for RC frame buildings in accordance with Indian requirements. This optimization primarily targets the crucial design factors, including the width, depth, and longitudinal reinforcement area of structural members. The study is conducted on a four-bay, 4-storey RC frame structure, designed to meet the strict Indian loading requirements and seismic standards specified in IS 1893:2016. The sequential least squares programming (SLSQP) algorithm is used to minimize the cost function by optimizing expenses associated with concrete, steel, and formwork. SLSQP excels at managing several restrictions associated with structural strength and stiffness, ensuring compliance while efficiently optimizing design variables. The results demonstrate that using this optimization procedure might result in a substantial decrease in cost, around 15%, in comparison with conventional manual design practices. This shows the capability of SLSQP to effectively attain cost-efficient and optimal designs that comply with the necessary safety and performance criteria.

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Design Optimization of Indian Code-Compliant RC Frames

  • 会议论文

  • 发表日期：

    2025年

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  • Kaushik Gondaliya,
  • Sandip Vasanwala,
  • Atul Desai,
  • Jignesh Amin

摘要

This study presents an advanced approach that utilizes an open API-based technique of SAP2000 to get the best design for RC frame buildings in accordance with Indian requirements. This optimization primarily targets the crucial design factors, including the width, depth, and longitudinal reinforcement area of structural members. The study is conducted on a four-bay, 4-storey RC frame structure, designed to meet the strict Indian loading requirements and seismic standards specified in IS 1893:2016. The sequential least squares programming (SLSQP) algorithm is used to minimize the cost function by optimizing expenses associated with concrete, steel, and formwork. SLSQP excels at managing several restrictions associated with structural strength and stiffness, ensuring compliance while efficiently optimizing design variables. The results demonstrate that using this optimization procedure might result in a substantial decrease in cost, around 15%, in comparison with conventional manual design practices. This shows the capability of SLSQP to effectively attain cost-efficient and optimal designs that comply with the necessary safety and performance criteria.