Results 131 to 140 of about 2,507,976 (303)

Wind direction measurements in Croatia

, 2018
Wind direction measurements in ...
Peter Domonkos (6967757), Javier Sigro (6967763), Linden Ashcroft (6967748), Joan Ramon Coll (6967751), Alba Gilabert (6967754), Per Unden (6967769), Manola Brunet (6967772), Aguilar, Enric, Enric Aguilar (6967760), Unden, Per, Harris, Ian, Sigro, Javier, Brunet, Manola, Coll, Joan Ramon, Merce Castella (6967766), Ashcroft, Linden, Jones, Phil, Ian Harris (3408638), Phil Jones (2460415), Domonkos, Peter, Gilabert, Alba, Castella, Merce   +21 more
core   +1 more source

Unsupervised Machine Learning Identifies Shared Biomechanical and Clinical Variation in Individuals with Knee Osteoarthritis and High BMI: A Secondary Analysis of the IDEA Trial

Arthritis Care &Research, Accepted Article.
Objective High body mass index (BMI≥27 kg/m2) and aberrant gait biomechanics are primary risk factors for knee osteoarthritis (KOA), yet the specific loading patterns linked to clinical disease features remain unclear. Unsupervised machine learning (ML) was used to identify vertical ground reaction force (vGRF) waveform modes of variation and ...
Ashley N. Buck, J. Elyse Borgert, Hyeon Lee, Liubov Arbeeva, Yvonne M. Golightly, Richard F. Loeser, Leigh F. Callahan, Stephen P. Messier, Brian Pietrosimone, Amanda E. Nelson, James S. Marron   +10 more
wiley   +1 more source

Influence of Wind Direction Variability on Power Prediction in the OpenFAST with Corrected Meteorological Data

Journal of Marine Science and Engineering
Time-varying wind conditions, on which wind turbines depend, significantly influence power generation performance. Accordingly, this study proposes an approach to improve the accuracy of wind power generation prediction by incorporating time-varying wind
Dongmyung Im, Yeonbin Lee, Yoon Hyeok Bae   +2 more
doaj   +1 more source

Wind direction measurements in Slovenia

, 2018
Wind direction measurements in ...
Peter Domonkos (6967757), Javier Sigro (6967763), Linden Ashcroft (6967748), Joan Ramon Coll (6967751), Alba Gilabert (6967754), Per Unden (6967769), Manola Brunet (6967772), Aguilar, Enric, Enric Aguilar (6967760), Unden, Per, Harris, Ian, Sigro, Javier, Brunet, Manola, Coll, Joan Ramon, Merce Castella (6967766), Ashcroft, Linden, Jones, Phil, Ian Harris (3408638), Phil Jones (2460415), Domonkos, Peter, Gilabert, Alba, Castella, Merce   +21 more
core   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
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, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Wind direction measurements in Germany

, 2018
Wind direction measurements in ...
Peter Domonkos (6967757), Javier Sigro (6967763), Linden Ashcroft (6967748), Joan Ramon Coll (6967751), Alba Gilabert (6967754), Per Unden (6967769), Manola Brunet (6967772), Aguilar, Enric, Enric Aguilar (6967760), Unden, Per, Harris, Ian, Sigro, Javier, Brunet, Manola, Coll, Joan Ramon, Merce Castella (6967766), Ashcroft, Linden, Jones, Phil, Ian Harris (3408638), Phil Jones (2460415), Domonkos, Peter, Gilabert, Alba, Castella, Merce   +21 more
core   +1 more source

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

Advanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source

Microstructural Evolution and Vacancy Defect Formation in Mn–Mo–Ni RPV Steel Under Low Cycle Fatigue: Insights From EBSD and PALS

Advanced Engineering Materials, EarlyView.
Low‐cycle fatigue damage in Mn–Mo–Ni reactor pressure vessel steel is examined using a combined electron backscatter diffraction and positron annihilation lifetime spectroscopy approach. The study correlates texture evolution, dislocation substructure development, and vacancy‐type defect formation across uniform, necked, and fracture regions, providing
Apu Sarkar, Dhanadeep Dutta, G. Bharat Reddy   +2 more
wiley   +1 more source

A Numerical–Experimental Approach for Multi‐Matrix Fiber‐Reinforced Plastics Characterization Using Finite Element Model Updating

Advanced Engineering Materials, EarlyView.
A numerical–experimental framework is developed for characterizing multi‐matrix fiber‐reinforced polymers (MM‐FRPs) combining epoxy and polyurethane matrices. Harmonic bending tests are integrated with finite element model updating (FEMU) to simultaneously identify elastic and viscoelastic material parameters.
Rodrigo M. Dartora, Tales V. Lisbôa, Axel Spickenheuer, Rogério J. Marczak, Jakson M. Vassoler   +4 more
wiley   +1 more source

Wind vector retrieval from Gaofen-3 SAR imagery using the method of iterative line fitting in image power spectrum domain

All Earth
The Gaofen-3 (GF-3) is a Chinese Synthetic Aperture Radar (SAR) satellite primarily designed for monitoring marine dynamic environments. Compared to spaceborne scatterometers, it can monitor sea surface wind fields with higher spatial resolution ...
Xuetong Xie, Jinlan Zhang, Yan Zheng, Kehai Chen   +3 more
doaj   +1 more source