Redirigiendo al acceso original de articulo en 17 segundos...
ARTÍCULO
TITULO

Methodology for predicting vibrations induced by underground railways in 2D numerical models: a real case in Madrid, Spain

J. Fernández    
L. Medina    

Resumen

This paper presents a methodology for predicting vibrations produced by underground railways through 2D FEM numerical models formulated in the time domain. The numerical approach is based on the application of train loads as dynamic displacements on the rail pad and the application of load correction coefficients in 2D numerical models. This load reduction coefficient is calculated by comparing 2D and 3D static numerical models, assuming that vertical displacements are equal in both cases. This methodology has been applied in a real case in Madrid, Spain, where a reasonable fit between numerical and experimental results was found. Therefore, it could be a useful tool in early stages of design and for studying mitigation measures.

 Artículos similares

       
 
Florin Leon, Marius Gavrilescu, Sabina-Adriana Floria and Alina Adriana Minea    
This paper proposes a classification methodology aimed at identifying correlations between job ad requirements and transversal skill sets, with a focus on predicting the necessary skills for individual job descriptions using a deep learning model. The ap... ver más
Revista: Information

 
Bojan Milovanovic, Predrag Vojt, Budo Zindovic, Vladan Kuzmanovic and Ljubodrag Savic    
This paper presents a methodology for estimation of hydrodynamic loads acting on the bottom and at the walls of a stilling basin of a stepped chute with converging walls, based on the pressure measurements at the selected points of a scale model. This is... ver más
Revista: Water

 
Vahid Safavi, Arash Mohammadi Vaniar, Najmeh Bazmohammadi, Juan C. Vasquez and Josep M. Guerrero    
Predicting the remaining useful life (RUL) of lithium-ion (Li-ion) batteries is crucial to preventing system failures and enhancing operational performance. Knowing the RUL of a battery enables one to perform preventative maintenance or replace the batte... ver más
Revista: Information

 
Nirmal Acharya, Padmaja Kar, Mustafa Ally and Jeffrey Soar    
Significant clinical overlap exists between mental health and substance use disorders, especially among women. The purpose of this research is to leverage an AutoML (Automated Machine Learning) interface to predict and distinguish co-occurring mental hea... ver más
Revista: Applied Sciences

 
Kichan Sim and Kangsu Lee    
A digital twin is a virtual model of a real-world structure (such as a device or equipment) which supports various problems or operations that occur throughout the life cycle of the structure through linkage with the actual structure. Digital twins have ... ver más