Morphological reconstruction method of irregular shaped ballast particles and application in numerical simulation of ballasted track

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F20%3A00356788" target="_blank" >RIV/68407700:21110/20:00356788 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1016/j.trgeo.2020.100374" target="_blank" >https://doi.org/10.1016/j.trgeo.2020.100374</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.trgeo.2020.100374" target="_blank" >10.1016/j.trgeo.2020.100374</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Morphological reconstruction method of irregular shaped ballast particles and application in numerical simulation of ballasted track

Popis výsledku v původním jazyce

To quantitatively investigate the morphological features of railway ballast, a new statistical index, Curvature Index (CI), was presented. With a set of 584 digitized railway ballast particles obtained through 3D scanning, the statistical distribution functions of CI and existing global shape indices (i.e., long axis, middle axis, short axis and sphericity index) were obtained. Then, based on Proper Orthogonal Decomposition (POD) and Radial Basis Function (RBF) Neural Network, a new shape reconstruction method was proposed to generate an arbitrary number of ballast particles that met the desired probability density distribution of morphological indices. And based on local curvature distribution on particle surface, a new simplification algorithm was implemented to reduce the number of contour points of each particle to no more than 31 on the premise of preserving global and local morphological features, which improved the efficiency of numerical simulations. These methods were used to reconstruct and simplify the arbitrary shapes of gravel ballast particles. Then, a DEM-FEM coupling model of ballasted track-subgrade was established by applying the regenerated ballast particles to analyze the contact stress at the ballast-soil interface. The numerical simulations can effectively reflect the contact stress distributions resulted from laboratory tests, which further confirmed that the reconstruction of the ballast particles reflected the morphological characteristics of real ballast.

Název v anglickém jazyce

Morphological reconstruction method of irregular shaped ballast particles and application in numerical simulation of ballasted track

Popis výsledku anglicky

To quantitatively investigate the morphological features of railway ballast, a new statistical index, Curvature Index (CI), was presented. With a set of 584 digitized railway ballast particles obtained through 3D scanning, the statistical distribution functions of CI and existing global shape indices (i.e., long axis, middle axis, short axis and sphericity index) were obtained. Then, based on Proper Orthogonal Decomposition (POD) and Radial Basis Function (RBF) Neural Network, a new shape reconstruction method was proposed to generate an arbitrary number of ballast particles that met the desired probability density distribution of morphological indices. And based on local curvature distribution on particle surface, a new simplification algorithm was implemented to reduce the number of contour points of each particle to no more than 31 on the premise of preserving global and local morphological features, which improved the efficiency of numerical simulations. These methods were used to reconstruct and simplify the arbitrary shapes of gravel ballast particles. Then, a DEM-FEM coupling model of ballasted track-subgrade was established by applying the regenerated ballast particles to analyze the contact stress at the ballast-soil interface. The numerical simulations can effectively reflect the contact stress distributions resulted from laboratory tests, which further confirmed that the reconstruction of the ballast particles reflected the morphological characteristics of real ballast.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20104 - Transport engineering

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Transportation geotechnics

ISSN

2214-3912

e-ISSN

2214-3912

Svazek periodika

24

Číslo periodika v rámci svazku

September

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

12

Strana od-do

1-12

Kód UT WoS článku

000559177200006

EID výsledku v databázi Scopus

2-s2.0-85085755974