A global strategy based on experiments and simulations for squeal prediction on industrial railway brakes

This paper presents an overview of recent experimental and numerical investigations on industrial railway brakes. The goal of the present study is to discuss the relevance of the mechanical modeling strategy for squeal prediction. Specific experimental set-ups based on transient and controlled braking tests are designed for this purpose. Measurements are performed on it to investigate the dynamic behavior of TGV squeal noise and its squeal characterization through experiments. It will be demonstrated that it is possible to build consistent and efficient finite element models to simulate squeal events in TGV brake systems. The numerical strategy will be presented, including not only the modeling of the TGV brake system and the stability analysis, but also the transient nonlinear dynamic and computational process based on efficient reduced basis. This complete numerical strategy allows us to perform relevance squeal prediction on industrial railway brakes. This study comes within the scope of a research program AcouFren that is supported by ADEME (Agence De l'Environnement et de la Maîtrise de l'Energie) concerning the reduction of the squeal noise generated by high power railway disc brakes.

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Source ISSN: 0022-460X
Author Sinou, Jean-Jacques, Loyer, Andréa, Chiello, Olivier, Mogenier, Guillaume, Lorang, Xavier, Cocheteux, Franck, Bellaj, Selim
Maintainer CCSD
Last Updated May 9, 2026, 23:51 (UTC)
Created May 9, 2026, 23:51 (UTC)
Identifier hal-00855074
Language en
Rights https://about.hal.science/hal-authorisation-v1/
contributor Laboratoire de Tribologie et Dynamique des Systèmes (LTDS) ; École Centrale de Lyon (ECL) ; Université de Lyon-Université de Lyon-École Nationale des Travaux Publics de l'État (ENTPE)-Ecole Nationale d'Ingénieurs de Saint Etienne (ENISE)-Centre National de la Recherche Scientifique (CNRS)
creator Sinou, Jean-Jacques
date 2013-01-01T00:00:00
harvest_object_id 91f5671a-7997-42ee-b0dc-ec3ac0566f7c
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2025-07-17T00:00:00
relation info:eu-repo/semantics/altIdentifier/doi/10.1016/j.jsv.2013.04.008
set_spec type:ART