Hosseini, Pedram, Lajevardi, Fazeleh Sadat, Hoseini Vaez, Seyed Rohollah. (1405). Optimum Robust Design of 2D Steel Moment-Resisting Frames Using Enhanced Vibrating Particles System Algorithm. هنرهای کاربردی, 14(2), -. doi: 10.22075/jrce.2025.2284
Pedram Hosseini; Fazeleh Sadat Lajevardi; Seyed Rohollah Hoseini Vaez. "Optimum Robust Design of 2D Steel Moment-Resisting Frames Using Enhanced Vibrating Particles System Algorithm". هنرهای کاربردی, 14, 2, 1405, -. doi: 10.22075/jrce.2025.2284
Hosseini, Pedram, Lajevardi, Fazeleh Sadat, Hoseini Vaez, Seyed Rohollah. (1405). 'Optimum Robust Design of 2D Steel Moment-Resisting Frames Using Enhanced Vibrating Particles System Algorithm', هنرهای کاربردی, 14(2), pp. -. doi: 10.22075/jrce.2025.2284
Hosseini, Pedram, Lajevardi, Fazeleh Sadat, Hoseini Vaez, Seyed Rohollah. Optimum Robust Design of 2D Steel Moment-Resisting Frames Using Enhanced Vibrating Particles System Algorithm. هنرهای کاربردی, 1405; 14(2): -. doi: 10.22075/jrce.2025.2284

Optimum Robust Design of 2D Steel Moment-Resisting Frames Using Enhanced Vibrating Particles System Algorithm

Journal of Rehabilitation in Civil Engineering
مقاله 8، دوره 14، شماره 2 - شماره پیاپی 42، تابستان 2026    اصل مقاله (3.01 M)
نوع مقاله: Regular Paper
شناسه دیجیتال (DOI): 10.22075/jrce.2025.2284
نویسندگان
Pedram Hosseini* 1؛ Fazeleh Sadat Lajevardi2؛ Seyed Rohollah Hoseini Vaez3
1Assistant Professor, Faculty of Engineering, Mahallat Institute of Higher Education, Mahallat, Iran
2M.Sc. Graduate, Department of Civil Engineering, Faculty of Engineering, University of Qom, Qom, Iran
3Professor, Department of Civil Engineering, Faculty of Engineering, University of Qom, Qom, Iran
چکیده
This study presents a robust design optimization (RDO) approach for 2D steel moment-resisting frames, addressing uncertainties in material properties and external loads. The study considers special moment frames with high ductility capacity (R=8) designed according to American Institute of Steel Construction Load and Resistance Factor Design (AISC-LRFD) specifications. The objective is to minimize both structural weight and the robustness index, defined as the standard deviation of roof displacement. The Enhanced Vibrating Particles System (EVPS) algorithm is employed to solve the optimization problem, while Monte Carlo simulation (MCS) is used to model uncertainties. Three benchmark frames (10, 15, and 24 stories) demonstrate the effectiveness of the proposed methodology. Results show a 50-60% reduction in roof displacement variability compared to deterministic optimization, with only a 20-30% increase in structural weight. For the 10-story frame with β=0.4, the approach achieved a 67% reduction in standard deviation (from 0.484 to 0.159) with a 74% weight increase (from 63,848 lb to 111,701 lb). The robustness index coefficient (β) is identified as a key parameter for controlling the weight-robustness trade-off, allowing designers to tailor solutions based on project requirements. The study provides a practical framework for improving steel frame reliability under real-world conditions.

تازه های تحقیق
  • 50-60% reductionin roof displacement variability compared to deterministic optimization.
  • 20-30% increasein structural weight, balancing robustness and efficiency.
  • Robustness index coefficient (β)identified as a key parameter for controlling weight-robustness trade-offs.
  • Practical frameworkfor enhancing structural reliability under real-world uncertainties.
  • Benchmark resultsfor 10, 15, and 24-story frames demonstrate the effectiveness of the approach.
کلیدواژه‌ها
Enhanced Vibrating Particles System؛ Robust design optimization؛ Uncertainty؛ Steel moment resisting frame؛ Monte Carlo simulation
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