首页|New Machine Learning Findings from Louisiana State University Described (Deep Le arning-based Eddy Viscosity Modeling for Improved Bans Simulations of Wind Press ures On Bluff Bodies)

New Machine Learning Findings from Louisiana State University Described (Deep Le arning-based Eddy Viscosity Modeling for Improved Bans Simulations of Wind Press ures On Bluff Bodies)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Machine Learning. According to news originatingfrom Baton Rouge, Louisiana, by NewsRx editors, the research stated, “Accurate prediction of wind pressureson building s is crucial for designing safe and efficient structures. Existing computational methods, like Reynolds- averaged Navier-Stokes (RANS) simulations, often fail t o predict pressures accurately inseparation zones.”

Baton RougeLouisianaUnited StatesN orth and Central AmericaCyborgsEmerging TechnologiesMachine LearningLoui siana State University

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Nov.29)