Detailed Information

Cited 7 time in webofscience Cited 8 time in scopus
Metadata Downloads

Hybrid Model for Railroad Bridge Dynamics

Authors
Kim, Robin E.Moreu, FernandoSpencer, Billie F., Jr.
Issue Date
Apr-2016
Publisher
ASCE-AMER SOC CIVIL ENGINEERS
Keywords
Dynamic loads; Hybrid model; Moving mass; Railroad bridges; Resonance; Structural health monitoring
Citation
JOURNAL OF STRUCTURAL ENGINEERING, v.142, no.10, pp.1 - 11
Indexed
SCIE
SCOPUS
Journal Title
JOURNAL OF STRUCTURAL ENGINEERING
Volume
142
Number
10
Start Page
1
End Page
11
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/23183
DOI
10.1061/(ASCE)ST.1943-541X.0001530
ISSN
0733-9445
Abstract
Railroads carry approximately 40% of the ton-miles of the freight in the United States. On the average, a bridge occurs every 2.25km (1.4mi) of track, making them critical elements. The primary load on the railroad bridges is the train, resulting in numerous models being developed to understand the dynamic response of bridges under train loads. However, because the problem is time-dependent and coupled, developing adequate models is challenging. Most of the proposed models fail to provide a simple yet flexible representation of the train, bridge, and track. This paper proposes a new hybrid model that is effective for solving the track-bridge interaction problem under moving trains. The main approach is to couple the finite-element model of the bridge with a continuous beam model of the track using the assumed modes method. Both single-track and multitrack bridges are considered. The hybrid model is validated against field measurements for a double-track bridge. This model is then used to predict critical train speeds. The results demonstrate that the hybrid model provides an effective and fundamental tool for predicting bridge dynamics subject to moving trains. The flexible feature of the model will allow accommodating more sophisticated vehicle models and track irregularities.
Files in This Item
Go to Link
Appears in
Collections
서울 공과대학 > 서울 건설환경공학과 > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Kim, Robin Eunju photo

Kim, Robin Eunju
COLLEGE OF ENGINEERING (DEPARTMENT OF CIVIL AND ENVIRONMENTAL ENGINEERING)
Read more

Altmetrics

Total Views & Downloads

BROWSE