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A Population-Based Model Bias Correction Framework Using Federated Learning for Simulation Models of Nonlinear Dynamic Systems
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 ...
Deep-Learning Framework for Dynamic Deflection Prediction of Suspension Bridges under Temperature, Traffic, and Wind Loads
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 ...
Analytical Assessment of the Effects of Multicategory Errors on the Completed State of a Suspension Bridge: Stepwise Multiple Regression Analysis and FEM Validation
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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