56 citations · 120 across the 10 of their papers we have counts for
11 papers
Implicit and explicit treatments of model error in numerical simulation
Danny Smyl
Numerical simulations of physical systems exhibit discrepancies arising from unmodeled physics and idealizations, as well as numerical approximation errors stemming from discretiza…
Machine learning for structural design models of continuous beam systems via influence zones
Adrien Gallet, Andrew Liew, Iman Hajirasouliha +1
This work develops a machine learned structural design model for continuous beam systems from the inverse problem perspective. After demarcating between forward, optimisation and i…
Influence zones for continuous beam systems
Adrien Gallet, Andrew Liew, Iman Hajirasouliha +1
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 geote…
Investigation of condominium building collapse in Surfside, Florida: A video feature tracking approach
Xiangxiong Kong, Danny Smyl
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…
Structural engineering from an inverse problems perspective
Adrien Gallet, Samuel Rigby, Tyler Tallman +7
The field of structural engineering is vast, spanning areas from the design of new infrastructure to the assessment of existing infrastructure. From the onset, traditional entry-le…
An efficient Quasi-Newton method for nonlinear inverse problems via learned singular values
Danny Smyl, Tyler N. Tallman, Dong Liu +1
Solving complex optimization problems in engineering and the physical sciences requires repetitive computation of multi-dimensional function derivatives. Commonly, this requires co…
Fusing electrical and elasticity imaging
Andreas Hauptmann, Danny Smyl
Electrical and elasticity imaging are promising modalities for a suite of different applications including medical tomography, non-destructive testing, and structural health monito…
Learning and correcting non-Gaussian model errors
Danny Smyl, Tyler N. Tallman, Jonathan A. Black +2
All discretized numerical models contain modelling errors - this reality is amplified when reduced-order models are used. The ability to accurately approximate modelling errors inf…
Optimizing electrode positions in 2D Electrical Impedance Tomography using deep learning
Danny Smyl, Dong Liu
Electrical Impedance Tomography (EIT) is a powerful tool for non-destructive evaluation, state estimation, and process tomography - among numerous other use cases. For these applic…
OpenQSEI: a MATLAB package for Quasi Static Elasticity Imaging
Danny Smyl, Sven Bossuyt, Dong Liu
Quasi Static Elasticity Imaging (QSEI) aims to computationally reconstruct the inhomogeneous distribution of the elastic modulus using a measured displacement field. QSEI is a well…
Relating unsaturated electrical and hydraulic conductivity of cement-based materials
Danny Smyl
Unsaturated hydraulic () and electrical () conductivity are often considered durability indicators of cement-based materials. However, is difficult to measure experimen…