000			01943nam a22001577a 4500
082			_a621
100			_a Ali, Muhammad Junaid _9129242
245			_aOptimal Expansion of Interface Dynamics for Substructure Coupling / _cMuhammad Junaid Ali
264			_aIslamabad : _bIslamabad : _c2025
300			_a251p. _bsoft copy _c30
500			_aThis thesis introduces a novel methodology for optimal interface expansion in dynamic substructuring, focusing on inaccessible and continuous interfaces. Unlike traditional approaches relying on modal parameters from Frequency Response Functions (FRFs), it employs a direct frequency-based method targeting interface Degrees of Freedom (DoFs), bypassing errors linked to modal identification. The System Equivalent Model Mixing (SEMM) technique is utilized to expand dynamics at the interface by integrating numerical and experimental models into a mixed model. Coherence is employed as a robust correlation metric, evaluating both phase and magnitude of FRFs. This research addresses optimal sensor placement (OSP) for effective expansion, testing nineteen stochastic metaheuristics categorized into swarm intelligence, surrogate algorithms, and physicsinspired methods to alleviate computational challenges of exhaustive searches. The Mountain Gazelle Optimizer (MGO) algorithm proved highly efficient for larger systems, while exhaustive search was effective for smaller cases. Validation involved cantilevered beam models and experimental setups, demonstrating strong correlation at interface DoFs. MGO proved to be 49 times faster than exhaustive search in identifying optimal sensor locations. The proposed methodology showcases practical applicability in achieving accurate dynamic expansions.
650			_aMS Mechanical Engineering
700			_aSupervisor: Dr. Muhammad Safdar _9119644
856			_uhttp://10.250.8.41:8080/xmlui/handle/123456789/53336
942			_2ddc _cTHE
999			_c613930 _d613930