Feed-forward neural networks for failure mechanics problems
This work addresses an efficient neural network (NN) representation for the phase-field
modeling of isotropic brittle fracture. In recent years, data-driven approaches, such as neural …
modeling of isotropic brittle fracture. In recent years, data-driven approaches, such as neural …
Effectiveness and efficiency of particle swarm optimization technique in inverse heat conduction analysis
Three variations of the particle swarm optimization (PSO) method are used to solve the
boundary inverse heat conduction problem, in one, two, and three dimensions. Both steady …
boundary inverse heat conduction problem, in one, two, and three dimensions. Both steady …
An iterative finite-element algorithm for solving two-dimensional nonlinear inverse heat conduction problems
M Bergagio, H Li, H Anglart - International Journal of Heat and Mass …, 2018 - Elsevier
It is often useful to determine temperature and heat flux in multidimensional solid domains of
arbitrary shape with inaccessible boundaries. In this study, an effective algorithm for solving …
arbitrary shape with inaccessible boundaries. In this study, an effective algorithm for solving …
An inverse problem approach for elasticity imaging through vibroacoustics
MA Aguilo, W Aquino, JC Brigham… - IEEE transactions on …, 2010 - ieeexplore.ieee.org
A methodology for estimating the spatial distribution of elastic moduli using the steady-state
dynamic response of solids immersed in fluids is presented. The technique relies on the …
dynamic response of solids immersed in fluids is presented. The technique relies on the …
Squeal occurrence related to the tracking of the bearing surfaces on a pin-on-disc system
VV Lai, I Paszkiewicz, JF Brunel, P Dufrénoy - Mechanical Systems and …, 2022 - Elsevier
Brake squeal is an important issue in the automotive and railway industry with high
frequencies and acoustic pressure (above 1 kHz and 80 dB). For the comfort of passengers …
frequencies and acoustic pressure (above 1 kHz and 80 dB). For the comfort of passengers …
Self-learning simulation method for inverse nonlinear modeling of cyclic behavior of connections
GJ Yun, J Ghaboussi, AS Elnashai - Computer methods in applied …, 2008 - Elsevier
This paper presents an improved self-learning simulation and its application to modeling of
'cyclic'behavior of the connections from the results of structural testing. Unlike other inverse …
'cyclic'behavior of the connections from the results of structural testing. Unlike other inverse …
Inverse estimation of viscoelastic material properties for solids immersed in fluids using vibroacoustic techniques
This work presents an approach to inversely determine material properties for solids
immersed in fluids through the use of steady-state dynamic response. The methodology …
immersed in fluids through the use of steady-state dynamic response. The methodology …
Surrogate-model accelerated random search algorithm for global optimization with applications to inverse material identification
JC Brigham, W Aquino - Computer Methods in Applied Mechanics and …, 2007 - Elsevier
An optimization algorithm is proposed which is applicable for the global optimization of
computationally expensive functions with specific applications in material identification. The …
computationally expensive functions with specific applications in material identification. The …
Generalized finite element method using proper orthogonal decomposition
A methodology is presented for generating enrichment functions in generalized finite
element methods (GFEM) using experimental and/or simulated data. The approach is based …
element methods (GFEM) using experimental and/or simulated data. The approach is based …
Inverse viscoelastic material characterization using pod reduced-order modeling in acoustic–structure interaction
JC Brigham, W Aquino - Computer Methods in Applied Mechanics and …, 2009 - Elsevier
A strategy is presented for applying the proper orthogonal decomposition (POD) technique
for model reduction in computational inverse solution strategies for viscoelastic material …
for model reduction in computational inverse solution strategies for viscoelastic material …