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    A Population-Based Model Bias Correction Framework Using Federated Learning for Simulation Models of Nonlinear Dynamic Systems 

    Source: Journal of Mechanical Design:;2026:;volume( 148 ):;issue:002
    Author(s): Wang, Xudong; Wang, Zhi-wei; Zhao, Zhao; Todd, Michael D.; Hu, Zhen
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Abstract. Model uncertainty quantification is essential for enhancing the validity of simulations of nonlinear dynamic systems. However, its effectiveness may be significantly affected when experimental or monitoring data ...
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    Deep-Learning Framework for Dynamic Deflection Prediction of Suspension Bridges under Temperature, Traffic, and Wind Loads 

    Source: Journal of Bridge Engineering:;2026:;Volume ( 031 ):;issue: 002:;page 04025100-1
    Author(s): Wang, Zhi-wei; Zhang, Wen-ming; Lu, Xiao-fan; Fragkoulis, Vasileios C.; Beer, Michael
    Publisher: American Society of Civil Engineers
    Abstract: Abstract A data-driven predictive model for dynamic deflection response can aid the safe operation and maintenance of a suspension bridge. In particular, it lays the groundwork for bridge condition assessment and damage ...
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    Analytical Assessment of the Effects of Multicategory Errors on the Completed State of a Suspension Bridge: Stepwise Multiple Regression Analysis and FEM Validation 

    Source: Journal of Bridge Engineering:;2026:;Volume ( 031 ):;issue: 004:;page 04026007-1
    Author(s): Wang, Zhen-ping; Zhang, Wen-ming; Wang, Zhi-wei
    Publisher: American Society of Civil Engineers
    Abstract: Abstract Starting from bridge design to the construction stage, accumulation of multiple errors related to manufacturing, installation, material properties, and other factors results in deviations between the actual completed ...
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