نوع مقاله : مقاله پژوهشی
نویسندگان
1 دانشجوی دکتری سازه، دانشکدة مهندسی عمران، دانشگاه سمنان
2 استاد، دانشکده مهندسی عمران، دانشگاه سمنان
چکیده
کلیدواژهها
عنوان مقاله [English]
نویسندگان [English]
This study proposes a novel model updating method for precise damage identification in moment-resisting frames. The proposed objective function, emphasizing mode shape parameters combined with natural frequencies, exhibits high sensitivity in accurately detecting damage severity and location. To address the optimization problem, an Improved Manta Ray Foraging Optimization (IMRFO) algorithm is introduced, incorporating the Tent chaotic map, bidirectional search strategy, and Lévy flight to overcome the limitations of standard MRFO, such as low convergence accuracy and entrapment in local optima. The Tent map enhances the uniform distribution of initial solutions, the bidirectional search expands the exploration range, and Lévy flight facilitates escape from local optima. IMRFO demonstrated high accuracy and robustness in optimizing the objective function across various damage scenarios and noise levels, achieving an average error of less than 2% over 20 independent runs, outperforming other algorithms. This framework, with its innovative mode shape-focused objective function and IMRFO, provides a precise, robust, and computationally efficient solution for structural health monitoring.
کلیدواژهها [English]
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