Segmenting mechanically heterogeneous domains via unsupervised learning
Q Nguyen, E Lejeune - Biomechanics and Modeling in Mechanobiology, 2024 - Springer
From biological organs to soft robotics, highly deformable materials are essential
components of natural and engineered systems. These highly deformable materials can …
components of natural and engineered systems. These highly deformable materials can …
Reduction in the Sensor Effect on Acoustic Emission Data to Create a Generalizable Library by Data Merging
X Chen, N Godin, A Doitrand, C Fusco - Sensors, 2024 - mdpi.com
The aim of this paper is to discuss the effect of the sensor on the acoustic emission (AE)
signature and to develop a methodology to reduce the sensor effect. Pencil leads are broken …
signature and to develop a methodology to reduce the sensor effect. Pencil leads are broken …
Trustworthy Machine Learning for Experimental Characterization of Ceramic Matrix Composites
C Muir - 2023 - escholarship.org
SiC/SiC composites are refractory, damage tolerant, high-strength materials that are ideal for
use in turbine engines. Although these properties allow engineers to design aircraft with …
use in turbine engines. Although these properties allow engineers to design aircraft with …
Acoustic Emission in Ceramic Matrix Composites
N Tulshibagwale, N Brodnik… - Applied …, 2024 - asmedigitalcollection.asme.org
The integration of ceramic matrix composites (CMCs) into safety-critical applications, such
as turbine engines and aerospace structures, necessitates a sound understanding of their …
as turbine engines and aerospace structures, necessitates a sound understanding of their …