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Found 5 papers, 0 papers with code
Machine learning for structural design models of continuous beam systems via influence zones
This work develops a machine learned structural design model for continuous beam systems from the inverse problem perspective.
Influence zones for continuous beam systems
Unlike influence lines, the concept of influence zones is remarkably absent within the field of structural engineering, despite its existence in the closely related domain of geotechnics.
Investigation of condominium building collapse in Surfside, Florida: A video feature tracking approach
On June 24, 2021, a 12-story condominium building (Champlain Towers South) in Surfside, Florida partially collapsed, resulting in one of the deadliest building collapses in United States history with 98 people confirmed deceased.
An efficient Quasi-Newton method for nonlinear inverse problems via learned singular values
Here we present a highly efficient data-driven Quasi-Newton method applicable to nonlinear inverse problems.
Optimizing electrode positions in 2D Electrical Impedance Tomography using deep learning
Further, it is found that the use of optimized electrode positions computed using the approach derived herein can reduce errors in EIT reconstructions as well as improve the distinguishability of EIT measurements.
