Work

Assessment of Multi-Fidelity Structural Theories for Dynamic Analyses Using Machine Learning

Year: 2025

Type: conference-paper

Source: ASME Aerospace Structures, Structural Dynamics, and Materials Conference (SSDM)

DOI: 10.1115/ssdm2025-152306

Authors: Marco Petrolo, Alfonso Pagani, Giulio Candita, Pierluigi Iannotti, Erasmo Carrera

Institution: Politecnico di Torino

Language: English

Topic: Composite Structure Analysis and Optimization

Subfield: Mechanics of Materials

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4411199860

FWCI: 11.62

Cites:

Cited by: 2

Related to: 10