Results 151 to 160 of about 12,488,537 (258)

MEMS Data-Driven Intelligent Identification of Rotation-Angle Response and Shear Band Position in Gravelly Soil Slopes. [PDF]

Sensors (Basel)
Wu D, Feng Y, Yao G, Song H, Lu Z, Wu M.
europepmc   +1 more source

Ensemble‐based soil liquefaction assessment: Leveraging CPT data for enhanced predictions

Civil Engineering Design, Volume 7, Issue 1, Page 23-35, March 2025.
Abstract This study focuses on predicting soil liquefaction, a critical phenomenon that can significantly impact the stability and safety of structures during seismic events. Accurate liquefaction assessment is vital for geotechnical engineering, as it informs the design and mitigation strategies needed to safeguard infrastructure and reduce the risk ...
Arsham Moayedi Far, Masoud Zare
wiley   +1 more source

Comparative study of granular computing and RKCCA-based feature fusion for early lithium-ion battery RUL estimation. [PDF]

Sci Rep
Hiroshini K, Devanathan B, Bou-Rabee M, Kayalvizhi S.   +3 more
europepmc   +1 more source

Laminar Burning Velocity of Ammonia‐Hydrogen Mixtures Predicted by Machine Learning

Chemie Ingenieur Technik, EarlyView.
Ammonia–hydrogen blends aid defossilization, but slow combustion kinetics require complex modeling. Although chemical kinetic modeling is computationally expensive, machine learning surrogates offer fast predictions. This study trained GPR, DT, and ANN models on 1445 experimental points.
Georg Klepp, Aditya Sharma, Helene Dörksen   +2 more
wiley   +1 more source

An importance sampling vortex particle method for turbulence visualization simulation in maritime simulators. [PDF]

Sci Rep
Zhu T, Ren H, Tao R, Wei D, Xie P.
europepmc   +1 more source

Application of artificial neural network and general machine learning modelling on CO2 adsorption in moisture equilibrated South African high and medium rank coals

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract This study investigates the effect of moisture on CO2 adsorption in South African coals using both experimental and machine learning approaches. Three coal samples (SL, TN, and EM) with varying ranks (RoVmr: 3.49%, 1.26%, and 0.64%, respectively) were collected from different regions of South Africa.
Kasturie Premlall, Lawrence Koech, Douw Faurie, Khanyisile Lepota   +3 more
wiley   +1 more source

Discrete element method parameter calibration and validation of wheat based on the Tavares model. [PDF]

PLoS One
Jia H, Feng B, Wu W, Yang K.
europepmc   +1 more source

Review of CFD modelling techniques for single‐phase and multiphase flow in static mixers

The Canadian Journal of Chemical Engineering, EarlyView.
This review synthesizes computational fluid dynamics (CFD) approaches for static mixers, linking hydrodynamics to pressure drop, particle/droplet distributions, mixing metrics, and heat‐transfer performance to guide modelling choices and design decisions. Abstract Static mixers enable compact and low‐energy intensification.
Jussan Jaeger, Sálvio Lima de Carvalho Neto, Silvio Edegar Weschenfelder, Glaucia Rodrigues Vieira de Almeida da Fonseca, Maria de Fátima Rodrigues da Cunha, Selene Maria Arruda Guelli Ulson de Souza, Evandro Balestrin, Adriano da Silva   +7 more
wiley   +1 more source

Density- and Temperature-Dependent Potentials: Redefinition of the Local Density to Improve the Simulation of Liquids within Generalized Dissipative Particle Dynamics. [PDF]

J Chem Theory Comput
Colella G, Larentzos JP, Bresme F, Bonet Avalos J.   +3 more
europepmc   +1 more source

Generalized Reproducing Kernel Particle Method for Fragment-Impact and Fracture Modeling.

, 2015
Accurate modeling of fracture and material fragmentation remains a challenging problem in computational mechanics. Extrinsic enrichment of the approximation functions leads to an increase of degrees of freedom, while intrinsic enrichment near crack tips encounters compatibility issues.
openaire   +1 more source