Andrea Da Ronch

Andrea Da Ronch

University of Southampton

H-index: 24

Europe-United Kingdom

About Andrea Da Ronch

Andrea Da Ronch, With an exceptional h-index of 24 and a recent h-index of 19 (since 2020), a distinguished researcher at University of Southampton, specializes in the field of Structural dynamics, unsteady aerodynamics, multidisciplinary optimisation, machine learning, aircraft design.

His recent articles reflect a diverse array of research interests and contributions to the field:

Steady-State Transonic Flowfield Prediction via Deep-Learning Framework

Design methodology of a mini-missile considering flight performance and guidance precision

Experimental Characterization of Flutter and LCO of a Very Flexible Wing

Implicit and Conventional Large Eddy Simulation of Flow around a Circular Cylinder at Reynolds number of 3900

Design optimization and testing of a morphing leading-edge with a variable-thickness compliant skin and a closed-chain mechanism

Gradient-Guided Graph Convolutional Multi-Mesh Frameworks for Aircraft Aerodynamics Modelling

Graph convolutional multi-mesh autoencoder for steady transonic aircraft aerodynamics

A computational aeroelastic framework based on high-order structural models and high-fidelity aerodynamics

Andrea Da Ronch Information

University

Position

Faculty of Engineering and Physical Sciences

Citations(all)

2299

Citations(since 2020)

1396

Cited By

1433

hIndex(all)

24

hIndex(since 2020)

19

i10Index(all)

56

i10Index(since 2020)

36

Email

University Profile Page

University of Southampton

Google Scholar

View Google Scholar Profile

Andrea Da Ronch Skills & Research Interests

Structural dynamics

unsteady aerodynamics

multidisciplinary optimisation

machine learning

aircraft design

Top articles of Andrea Da Ronch

Title

Journal

Author(s)

Publication Date

Steady-State Transonic Flowfield Prediction via Deep-Learning Framework

AIAA Journal

Gabriele Immordino

Andrea Da Ronch

Marcello Righi

2024/2/29

Design methodology of a mini-missile considering flight performance and guidance precision

Journal of Systems Engineering and Electronics

Zhang Licong

GONG Chunlin

SU Hua

Andrea Da Ronch

2024/1/16

Experimental Characterization of Flutter and LCO of a Very Flexible Wing

Marcello Righi

Giuliano Coppotelli

Gabriele Immordino

Andrea Da Ronch

Ludovica Onofri

...

2024

Implicit and Conventional Large Eddy Simulation of Flow around a Circular Cylinder at Reynolds number of 3900

Zhuoneng Li

Andrea Da Ronch

Zeeshan A Rana

Karl Jenkins

2024

Design optimization and testing of a morphing leading-edge with a variable-thickness compliant skin and a closed-chain mechanism

Chinese Journal of Aeronautics

WANG Zhigang

SUN Xiasheng

YANG Yu

GE Wenjie

LI Daochun

...

2024/4/27

Gradient-Guided Graph Convolutional Multi-Mesh Frameworks for Aircraft Aerodynamics Modelling

David Massegur Sampietro

Andrea Da Ronch

2024

Graph convolutional multi-mesh autoencoder for steady transonic aircraft aerodynamics

Machine Learning: Science and Technology

David Massegur Sampietro

Andrea Da Ronch

2023/9/19

A computational aeroelastic framework based on high-order structural models and high-fidelity aerodynamics

Aerospace Science and Technology

Marco Grifò

Andrea Da Ronch

Ivano Benedetti

2023/1/1

High-fidelity Aero-Structural Optimisation using Individual Discipline Feasible Strategy

Claudio Conti

Massimo Mandorino

Andrea Da Ronch

Ali Elham

2023

Steady-state flowfield prediction in transonic regime via deep-learning framework

AIAA Journal

Gabriele Immordino

Andrea Da Ronch

Marcello Righi

2023/10/18

An efficient reduced-order framework for active/passive hybrid flutter suppression

The Aeronautical Journal

DF Li

ZZ Wang

A Da Ronch

G Chen

2023/1

Recurrent Multi-Mesh Convolutional Autoencoder Framework for Spatio-Temporal Aerodynamic Modelling.

David Massegur Sampietro

Andrea Da Ronch

2023

High-fidelity aeroelastic transonic analysis using higher-order structural models

Composite Structures

Marco Grifò

Vincenzo Gulizzi

Alberto Milazzo

Andrea Da Ronch

Ivano Benedetti

2023/10/1

Deep–learning framework for aircraft aerodynamics prediction

Gabriele Immordino

Andrea Da Ronch

Marcello Righi

2023

Robust multidisciplinary analysis and optimization for conceptual design of flexible aircraft under dynamic aeroelastic constraints

Aerospace Science and Technology

Marco Saporito

Andrea Da Ronch

Nathalie Bartoli

Sébastien Defoort

2023/7/1

A preliminary investigation into icing accretion around a wavy leading-edge wing

Andrea Da Ronch

Gabriele Immordino

Jae Wook Kim

2023

Low-Dimensional Models for Aerofoil Icing Predictions

Aerospace

David Massegur

Declan Clifford

Andrea Da Ronch

Riccardo Lombardi

Marco Panzeri

2023/5/11

Geometrically nonlinear coupled-adjoint aerostructural optimization of ultra-high aspect ratio wings with flutter constraints

Journal of Aircraft

Yiyuan Ma

Morteza Abouhamzeh

Ali Elham

2023/5

Development of a multi-field computational tool for high-fidelity static aeroelastic simulations

Marco Grifò

Andrea Da Ronch

Alberto Milazzo

Ivano Benedetti

2023

An efficient evaluation method for wing fuel mass variations effect on transonic aeroelasticity

Aircraft Engineering and Aerospace Technology

Dongfeng Li

Zhengzhong Wang

Andrea Da Ronch

Gang Chen

2022/4/26

See List of Professors in Andrea Da Ronch University(University of Southampton)

Co-Authors

H-index: 34
Rafael Palacios

Rafael Palacios

Imperial College London

H-index: 34
Ken Badcock

Ken Badcock

University of Liverpool

H-index: 23
M. Sergio Campobasso

M. Sergio Campobasso

Lancaster University

H-index: 20
Sebastian Timme

Sebastian Timme

University of Liverpool

H-index: 14
S. Marques

S. Marques

University of Surrey

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