Results 201 to 210 of about 42,214 (237)

Thin and Compact Versus Thick and Porous Fouling Layers in the Emulsion Polymerization of Acrylates and Vinyl Acetates Studied In Situ With a Quartz Crystal Microbalance (QCM)

open access: yesJournal of Applied Polymer Science, Volume 143, Issue 21, June 5, 2026.
ABSTRACT Building on a quartz crystal microbalance with dissipation monitoring (QCM‐D), fouling in emulsion polymerization was compared between acrylate dispersions stabilized with a mobile, anionic surfactant and dispersions of poly(vinyl acetate‐co‐vinyl neodecanoate), PVAc, stabilized with polyvinyl alcohol, PVOH.
K. M. Hoffmann   +5 more
wiley   +1 more source

Evaluation of Modeling Assumptions for Predicting Structural Damage and Train Derailment Under Earthquake Loading

open access: yesEarthquake Engineering &Structural Dynamics, Volume 55, Issue 7, Page 1514-1532, June 2026.
ABSTRACT The rapid development of new railway networks and the aging of existing infrastructure in seismic‐prone regions continue to motivate the need for efficient methods to simulate the dynamic behavior of coupled train track structure systems. While detailed train–structure interaction (TSI) models can capture complex mechanisms, they are often too
Miguel A. Gomez, Matthew J. DeJong
wiley   +1 more source

Aspects of Parameter Identification for a Micromorphic Continuum applied to a Cold‐Box Sand

open access: yesProceedings in Applied Mathematics and Mechanics, Volume 26, Issue 2, June 2026.
ABSTRACT This work is concerned with the modeling of a cold‐box sand, a composition of sand grains and a resin binder. To this end, experiments are performed, which show the following characteristics: localization phenomena in the form of a shear band, softening behavior in the force‐displacement curve, and asymmetric behavior for compression and ...
Alexander Börger   +3 more
wiley   +1 more source

On the Performance and Convergence of PINNs for Problems in Linear Elasticity

open access: yesProceedings in Applied Mathematics and Mechanics, Volume 26, Issue 2, June 2026.
ABSTRACT Physics‐informed neural networks (PINNs) have emerged as a promising approach for solving partial differential equations by embedding physical laws directly into the loss function. However, their performance characteristics for problems in computational mechanics remain insufficiently understood.
Dipraj Kadlag   +3 more
wiley   +1 more source

On Challenges Using Long Short‐Term Memory Networks in Data‐Driven Inelasticity

open access: yesProceedings in Applied Mathematics and Mechanics, Volume 26, Issue 2, June 2026.
ABSTRACT We present a framework that integrates long short‐term memory (LSTM) networks into a two‐dimensional data‐driven mechanics solver. We show that the staggered, double‐minimization algorithm induces solver‐generated noise, and that an LSTM trained on noise‐free stress–strain paths fails to account for these solver artifacts.
Marius Harnisch   +3 more
wiley   +1 more source

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