| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Ngamkhanong, Chayut
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (12/12 displayed)
- 2024Effect of Graphene Quantum Dots (GQDs) on the Mechanical, Dynamic, and Durability Properties of Concretecitations
- 2021Recycled aggregates concrete compressive strength prediction using Artificial Neural Networks (ANNS)citations
- 2020Experimental and numerical investigations into dynamic modal parameters of fiber-reinforced foamed urethane composite beams in railway switches and crossingscitations
- 2020On Hogging Bending Test Specifications of Railway Composite Sleepers and Bearerscitations
- 2019Life cycle and sustainability assessment of under sleeper pads for railway vibration suppression
- 2019Nonlinear finite element analysis for structural capacity of railway prestressed concrete sleepers with rail seat abrasioncitations
- 2018Damage and failure modes of railway prestressed concrete sleepers with holes/web openings subject to impact loading conditionscitations
- 2018Dynamic capacity reduction of railway prestressed concrete sleepers due to surface abrasions considering the effects of strain rate and prestressing lossescitations
- 2018Condition monitoring of overhead line equipment (OHLE) structures using ground-bourne vibrations from train passagescitations
- 2017Impact Capacity Reduction in Railway Prestressed Concrete Sleepers with Surface Abrasionscitations
- 2017Influences of surface abrasions on dynamic behaviours of railway concrete sleepers
- 2017Influence of surface abrasion on creep and shrinkage of railway prestressed concrete sleeperscitations
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article
Experimental and numerical investigations into dynamic modal parameters of fiber-reinforced foamed urethane composite beams in railway switches and crossings
Abstract
ynamic behaviors of composite railway sleepers and bearers in railway switches and crossings are not well-known and have never been thoroughly investigated. In fact, the dynamic properties of the full-scale composite sleepers and bearers are not available in practice. Importantly, the deteriorated condition or even the failure of composite materials and components in the railway system can affect the functional limitations or serviceability of the switches and crossings. Especially, it is important to identify the dynamic modal parameters of Fiber-reinforced Foamed Urethane (FFU) composite railway sleepers and bearers so that track engineers can adequately design and optimize the structural components with their superior properties, for benchmarking with the conventional sleepers and bearers. This paper is the world’s first to investigate the vibration characteristics of full-scaled FFU composite beams in healthy and damaged conditions, using the impact hammer excitation technique. This study also determines the dynamic elastic modulus of FFU composite beams from experimental dynamic measurements. It is found that the first bending mode in a vertical plane obviously is the first dominant mode of resonance under a free-free condition. The dynamic modal parameters reduce when damages occur. In this study, finite-element modeling has been used to establish a realistic dynamic model of the railway track incorporating FFU composite sleepers and bearers. Then, numerical simulations and experimental campaigns have been performed to enable new insights into the dynamic behaviors of composite sleepers and bearers. These insights are fundamental to the performance benchmarking as well as the development of vibration-based condition monitoring and inspection for predictive track maintenance.