首页|University of Lisbon Researcher Provides New Insights into Machine Learning (A S tudy on the Surrogate-Based Optimization of Flexible Wings Considering a Flutter Constraint)

University of Lisbon Researcher Provides New Insights into Machine Learning (A S tudy on the Surrogate-Based Optimization of Flexible Wings Considering a Flutter Constraint)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Research findings on artificial intell igence are discussed in a new report. According to news reporting from Lisbon, P ortugal, by NewsRx journalists, research stated, "Accounting for aeroelastic phe nomena, such as flutter, in the conceptual design phase is becoming more importa nt as the trend toward increasing the wing aspect ratio forges ahead." Financial supporters for this research include Fundacao Para A Ciencia E A Tecno logia. The news journalists obtained a quote from the research from University of Lisbo n: "However, this task is computationally expensive, especially when utilizing h igh-fidelity simulations and numerical optimization. Thus, the development of ef ficient computational strategies is necessary. With this goal in mind, this work proposes a surrogate-based optimization (SBO) methodology for wing design using a predefined machine learning model. For this purpose, a custom-made Python fra mework was built based on different opensource codes. The test subject was the classical Goland wing, parameterized to allow for SBO. The process consists of e mploying a Latin Hypercube Sampling plan and subsequently simulating the resulti ng wing on SHARPy to generate a dataset."

University of LisbonLisbonPortugalEuropeCyborgsEmerging TechnologiesMachine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Apr.3)