@Article{sdhm.2026.084371,
AUTHOR = {Abdullah Alariyan, Mohammed Abdulaal, Anas Alaryan, Mohammed Alariyan, Mahmoud Alhashash, Abdulhadi Alzabout, Abdulrahman Ahmed, Ahed Habib},
TITLE = {A Conceptual Artificial Intelligence and Edge Computing-Based Framework for Rapid Post-Earthquake Management of Bridges in a Smart City},
JOURNAL = {Structural Durability \& Health Monitoring},
VOLUME = {},
YEAR = {},
NUMBER = {},
PAGES = {{pages}},
URL = {http://www.techscience.com/sdhm/online/detail/28144},
ISSN = {1930-2991},
ABSTRACT = {Bridges are critical links in urban transportation networks, and delayed post-earthquake assessment can compromise public safety, emergency access, and network continuity. Although structural health monitoring, artificial intelligence (AI), and edge computing have advanced individually, an integrated bridge-specific workflow that links sensing, decentralized screening, uncertainty-aware decision support, and city-level coordination remains insufficiently developed. This study proposes a conceptual framework based on AI and edge computing for rapid post-earthquake bridge management in a smart city. Using a traceable design-synthesis procedure, requirements identified from the literature were translated into system layers, data flows, edge-cloud task allocation, uncertainty controls, and parameterized decision rules. The framework integrates Internet of Things sensors, local edge analytics, central context and network fusion, AI-based time-series and visual screening, reliability-weighted evidence fusion, confidence assessment, communication-loss operation, and professional assessment triggers. Its principal contribution is a validation-ready design specification that connects technical damage screening with provisional operational states and coordinated response while preserving professional authority over uncertain, severe, and reopening decisions. Because this is a theoretical framework study, no empirical dataset, simulation result, or field deployment is reported; accuracy, latency, false-alarm performance, and operational effectiveness must be established through the proposed staged simulation, hardware-in-the-loop, and pilot validation protocol.},
DOI = {10.32604/sdhm.2026.084371}
}