PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
October 11, 2025Civil and Environmental Engineering2 citationsOpen Access

On the Load-Carrying Capacity Determination of Railway Box-Girder Bridges Using the Reduced Stress Method

View Full Paper
JOJaroslav OdrobiňákJVJosef VičanRHRichard Hlinka

Key Points

  • The reduced stress method provides a more accurate estimation of load capacity for railway box-girder bridges, improving structural assessments.
  • Using 2D finite element models in three case studies demonstrates the effectiveness of the reduced stress method in measuring load carrying capacity.
  • The method accounts for complex stress distributions within plates, highlighting improvements over traditional approaches like effective width.
  • Integrating global analysis and linear buckling analysis enhances the accuracy of structural assessments for plated elements.

Abstract

Abstract This paper investigates the load-carrying capacity of existing railway box-girder bridges through a comprehensive analytical approach. The reduced stress method is utilized, which determines stress limits for stiffened and unstiffened plates under combined loading conditions. This method offers an alternative to the traditional effective width approach used for plated structural elements. The paper presents three case studies, demonstrating the integration of global analysis using 2D finite element models, linear buckling analysis of plate/shell structure, and the verification of planar elements via the reduced stress method. The proposed procedure enables more realistic estimations of the load capacity of planar elements by accounting for the complex stress distributions within the panels, thereby enhancing the accuracy of structural assessments, especially details.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Odrobiňák et al. (2025) studied this question.

synapsesocial.com/papers/68e9b1c9ba7d64b6fc1326adhttps://doi.org/10.2478/cee-2026-0021
Ask AI
Helpful
Bookmark
Share
View Full Paper