Optimal Design of Isolated Steel Space Truss System with SapRao Algorithm


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Yurdakul M.

5th International Conference on Advanced Engineering Technologies, Bayburt, Turkey, 25 - 27 September 2024, pp.66-72

  • Publication Type: Conference Paper / Full Text
  • City: Bayburt
  • Country: Turkey
  • Page Numbers: pp.66-72
  • Karadeniz Technical University Affiliated: Yes

Abstract

The Steel Space Truss System is characterized by its lightweight nature and high-strength properties, making it a favoured choice for roofing in various large-scale structures such as stadiums, airports, swimming pools, halls, aircraft hangars, conference halls, and trade centres. Its economic advantage over traditional systems stems from its reduced material usage. Selecting appropriate elements for an SSTS is paramount for cost efficiency. Furthermore, incorporating seismic isolation systems alleviates horizontal loads on the structure, allowing for the utilization of smaller cross-section elements, thus positively impacting overall costs. This study focused on optimizing the total weight of seismic isolated Steel Space Truss (SST) elements by categorizing them into groups. The SapRao algorithm, a recently developed method, was employed to compare the total weights of SST elements divided into 3 and 6 groups. For this purpose, MATLAB codes and the Open Application Programming Interface (OAPI) properties of SAP2000 were utilized in the optimization process. The primary objective function of this optimization was to minimize the total weight of truss elements. The load combinations considered consisted of self-weight, coating load, wind load, and seismic loads. The single concave friction pendulum (SCFP) was employed as the isolation system in this study. The analysis results obtained from seismically isolated SST with 3-group and 6-group were compared to each other. As a result of the optimization process, a total weight of 268.74 kN was achieved for the SST divided into 3 groups, while a total weight of 128.68 kN was obtained for the SST divided into 6 groups.