Dragos, KosmasKosmasDragosAl-Zuriqat, ThamerThamerAl-ZuriqatSmarsly, KayKaySmarsly2026-09-082026-09-082026-072026 EC3: European Conference on Computing in Constructionhttps://hdl.handle.net/11420/64717In wireless structural health monitoring (SHM), the focus is usually placed on reducing the power-consuming data transmission for preserving the limited resources of wireless sensor nodes. In this direction, embedded computing has been leveraged for distributing SHM data analysis tasks to the sensor nodes instead of transmitting raw data to centralized servers. This paper reports on decentralizing SHM tasks using reduced-order numerical models of structures, embedded into wireless sensor nodes as decentralized digital twins that use sensor data to assess the structural condition. The applicability of the proposed approach is demonstrated via laboratory validation tests.enTechnology::600: TechnologyConference Paper10.35490/EC3.2026.332