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Digital twins represent one of the most revolutionary advancements in contemporary engineering, particularly within the steel industry where the demands for precision, durability, and predictive foresight have always been exceptionally high. At their essence, digital twins serve as virtual replicas of physical steel structures, meticulously capturing every detail from geometric configurations and material compositions to dynamic behavioral patterns under various environmental stresses. This technology harnesses a sophisticated blend of sensor networks, real-time data analytics, and artificial intelligence to create a living mirror of actual steel assets, such as towering skyscrapers, expansive bridges, robust industrial frameworks, and offshore platforms. In the steel domain, where structures routinely withstand immense loads, corrosive elements, thermal expansions, and seismic activities, digital twins transition the management paradigm from sporadic reactive interventions to continuous proactive oversight.