Prediction of the elastoplastic in-plane buckling of parabolic steel arch bridges

0522844 - ÚTAM 2020 RIV GB eng J - Journal Article
Tang, Z. - Zhang, Wei - Yu, J. - Pospíšil, Stanislav
Prediction of the elastoplastic in-plane buckling of parabolic steel arch bridges.
Journal of Constructional Steel Research. Roč. 168, May (2020), č. článku 105988. ISSN 0143-974X. E-ISSN 1873-5983
R&D Projects: GA ČR(CZ) GC17-26353J
Institutional support: RVO:68378297
Keywords : buckling * buckling curve * eigenvalue analysis * parabolic arch * steel arch bridge * slenderness
OECD category: Construction engineering, Municipal and structural engineering
Impact factor: 3.646, year: 2020
Method of publishing: Limited access
https://doi.org/10.1016/j.jcsr.2020.105988

In this paper, amodified eigen-buckling algorithmbased on eigenvalue analysis was presented for evaluating the in-plane buckling strength of parabolic steel arch bridges. The buckling strength of parabolic arches under uniformly distributed vertical loads was studied. The slenderness parameter was modified to unify the buckling curves. Parametric analysis was carried out to study the applicability of the new algorithm. Finally, a case study regarding the bearing capacity of a steel arch bridge was performed to verify the proposed method. The results showed that the influences of geometric imperfections, rise-to-span ratio, and material yield strength of parabolic arches were taken into account by modifying the slenderness parameter. The buckling strength results of the arches using the modified dimensionless slenderness agreed very well with the straight column buckling curves in the specifications. The modified eigen-buckling algorithm provided very high accuracy in buckling strength assessment for parabolic steel arch bridges when the span was less than 200 m. The modified eigenbuckling algorithm predicted the load-bearing capacities of the arch bridge very well. Hence, the proposed method can be used for preliminary buckling strength evaluations in the bridge design stage.
Permanent Link: http://hdl.handle.net/11104/0307266