Results 31 to 40 of about 11,470 (264)
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
Ground penetrating radar applied to subsurface culverts
The failures of culverts can result in water and soil loss in the surrounding subsurface, leading to collapses. In densely constructed urban areas, buried culverts are inaccessible and invisible, making Ground Penetrating Radar (GPR) inspection a widely ...
Tess Luo +4 more
doaj +1 more source
Detection of Soil Water Content Using Continuous Wave Ground Penetrating Radar
In this work, continuous wave ground-penetrating radar (CW-GPR) has been used for detecting the soil water content in context to farm management.
Sonal Oimbe, Rahul Ingle, Raval Awale
doaj +1 more source
A simplified thermoplastic pultrusion model is developed to predict thermal fields in glass fiber/polyethylene terephthalate (GF/PET) composites with reduced computational cost. By combining effective material homogenization, validation against literature data, and Gaussian‐process‐based optimization, the study reveals how heating limits, pulling speed,
Elder Soares +3 more
wiley +1 more source
Surface-Related Multiples Elimination for Waterborne GPR Data
Ground-penetrating radar (GPR) is a well-respected, effective, and efficient geophysical technique. However, for underwater engineering detection and underwater archaeology, the measured B-scan profiles typically contain surface-related multiple waves ...
Ruiqing Shen +5 more
doaj +1 more source
Entropy‐Driven Design of Low‐Melting‐Point Alloys via Compositionally Complex Strategy
Conventional low‐melting‐point alloys (LMPAs) are limited by a narrow compositional space and inherent property trade‐offs. This review presents an entropy‐driven design strategy that overcomes these limitations, ushering in a new class of low‐melting‐point compositionally complex alloys (LMCCAs).
Yinghui Shang +6 more
wiley +1 more source
Tracking Battery Microstructural Degradation Through Directional Thermal Transport Signatures
In lithium‐ion batteries, heat conduction varies between the through‐plane and in‐plane directions because of the cell's layered structure. Therefore, cell degradation influences thermal conductivity in each direction uniquely due to detailed microstructural and compositional changes.
Mohammad Shoghi Tekmedash +6 more
wiley +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Time History Gaussian Process Regression for Modeling the Dynamics of Ankle Exoskeleton User Comfort
Exoskeletons need to be comfortable, but the perception of comfort may change over time. This study investigated if short‐term time history directly influences comfort. No previous trials’ input features were predictive of comfort. Including the previous trial's comfort score marginally improved model accuracy compared to a model using only the current
Axl Maberry, Bo Cheng, Anne E. Martin
wiley +1 more source
The ground-penetrating radar (GPR) method in the characterization of the Monastery of Batalha
The characterization of the Monastery of Batalha included the use of the geophysical method of ground-penetrating radar (GPR), a non-destructive and indirect method that provides high-resolution 2D/3D images of the structures to investigate. Owing to the
Nuno Barraca +2 more
doaj +1 more source

