Claudio Somaschini

Assistant Professor

Politecnico di Milano

Italy

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About

Claudio Somaschini is an Assistant Professor at Politecnico di Milano in Italy. His research areas include aerodynamic characterization of bicycle wheels, structural monitoring of bridges, and applications of machine learning in transportation. He has published recent articles on topics such as rail corrugation prediction and virtual homologation of high-speed trains. Somaschini actively engages in studies aimed at improving the sustainability and safety of transportation infrastructure.

Articles (12)

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2025

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2025

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2025

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2023

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2023

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2023

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2023

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2022

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2021

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2020

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2020

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2020

Collaborators (3)

Marco Belloli

Full Professor

Politecnico di Milano

ITALY

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Tommaso Argentini

associate professor

Politecnico di Torino

ITALY

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Abdallah Chehade

Assistant Professor

University of Michigan

UNITED STATES

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Claudio Somaschini

Research Interests

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Articles (12)

Aerodynamic characterization of bicycle wheels: Development of a reversed-fork setup for drag and ventilation moment measurement

Data normalization for the continuous monitoring of a steel truss bridge: A case study from the Italian railway line

Automated Operational Modal Analysis of a steel truss railway bridge employing free decay response

Leveraging machine learning to predict rail corrugation level from axle-box acceleration measurements on commercial vehicles

A Deep Learning Approach to Detect Failures in Bridges Based on the Coherence of Signals

A Methodology for Continuous Monitoring of Rail Corrugation on Subway Lines Based on Axlebox Acceleration Measurements

Battery Electric Buses or Fuel Cell Electric Buses? A Decarbonization Case Study in the City of Brescia, Italy

Virtual homologation of high-speed trains in railway tunnels: A new iterative numerical approach for train-tunnel pressure signature

15-Min Station: A Case Study in North Italy City to Evaluate the Livability of an Area

Full-Scale Experimental Investigation of the Interaction between Trains and Tunnels

A new methodology for assessing the actual number of impacts due to the ballast-lifting phenomenon

Numerical-experimental analysis of the slipstream produced by a high speed train

Collaborators (3)

Marco Belloli

Tommaso Argentini

Abdallah Chehade

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