Dataset for paper "Prediction of rail and bridge noise from concrete railway viaducts using a multi-layer rail fastener model and a wavenumber domain method"
Dataset for paper "Prediction of rail and bridge noise from concrete railway viaducts using a multi-layer rail fastener model and a wavenumber domain method"
 
  Dataset supporting:
Li, Qi et al (2017) Prediction of rail and bridge noise from concrete railway viaducts using a multi-layer rail fastener model and a wavenumber domain method. Proceedings of the IMechE Part F, Journal of Rail and Rapid Transit.
  
  
    University of Southampton
   
  
    
      Li, Qi
      
        193e5502-fc0d-4a67-8b41-ed4d8b560c2f
      
     
  
    
      Thompson, David
      
        bca37fd3-d692-4779-b663-5916b01edae5
      
     
  
  
   
  
  
    
    
  
  
    
      Li, Qi
      
        193e5502-fc0d-4a67-8b41-ed4d8b560c2f
      
     
  
    
      Thompson, David
      
        bca37fd3-d692-4779-b663-5916b01edae5
      
     
  
       
    
 
  
    
      
  
  Li, Qi and Thompson, David
  
  
  
   
    (2017)
  
  
  
    
    Dataset for paper "Prediction of rail and bridge noise from concrete railway viaducts using a multi-layer rail fastener model and a wavenumber domain method".
  
    
  
  
  
  
   University of Southampton 
  doi:10.5258/SOTON/D0135
  [Dataset] 
  
  
   
  
    
    
      
        
          Abstract
          Dataset supporting:
Li, Qi et al (2017) Prediction of rail and bridge noise from concrete railway viaducts using a multi-layer rail fastener model and a wavenumber domain method. Proceedings of the IMechE Part F, Journal of Rail and Rapid Transit.
         
      
      
        
          
            
  
    Spreadsheet
 FigureData_JRRT_16_0247.xlsx
     - Dataset
   
  
  
    
  
 
          
            
          
            
           
            
           
        
          
            
  
    Text
 Readme.txt
     - Dataset
   
  
  
    
  
 
          
            
          
            
           
            
           
        
        
       
    
   
  
  
  More information
  
    
      Published date: 2017
 
    
  
  
    
  
    
  
    
  
    
  
    
  
    
  
    
     
        Organisations:
        Dynamics Group
      
    
  
    
  
  
  
    
  
  
        Identifiers
        Local EPrints ID: 411733
        URI: http://eprints.soton.ac.uk/id/eprint/411733
        
          
        
        
        
        
          PURE UUID: cec907d8-1412-4b3d-85ef-ed6979dd4d06
        
  
    
        
          
        
    
        
          
            
              
            
          
        
    
  
  Catalogue record
  Date deposited: 22 Jun 2017 16:34
  Last modified: 05 Nov 2023 02:35
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      Contributors
      
          
          Creator:
          
            
            
              Qi Li
            
          
        
      
        
      
      
      
    
  
   
  
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