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ŠPLÍCHAL, B. LEHKÝ, D. DOLEŽEL, J.
Original Title
Semi and fully-probabilistic nonlinear analysis of post-tensioned concrete bridge made of KT-24 girders
Type
journal article - other
Language
English
Original Abstract
This paper deals with the assessment of the design resistance of an existing railway bridge made of KT-24 precast post-tensioned concrete girders. The load-bearing capacity of the structure is determined using probabilistic nonlinear analysis by the finite element method. Load-bearing capacity is determined for the ultimate and serviceability limit states. A fully probabilistic approach is compared to selected recommended semi-probabilistic methods, which can greatly reduce the number of nonlinear calculations needed to estimate the design value of resistance. Two stochastic models are compared, reflecting the level of knowledge of actual material properties from the diagnostic survey. The results are compared and discussed with respect to accuracy and required computational time, which is a critical issue when performing a global nonlinear analysis of a complex structure.
Keywords
Non-linear analysis; finite element method; semi-probabilistic methods; post-tensioned concrete bridge; KT-24 girders.
Authors
ŠPLÍCHAL, B.; LEHKÝ, D.; DOLEŽEL, J.
Released
30. 6. 2023
Publisher
VSB-Technical University of Ostrava
Location
Ostrava
ISBN
978-80-248-4609-5
Book
20th International Conference, Modelling in Mechanics 2022, 26th and 27th May 2022, Proccedings of extended abstracts
Edition
1
Edition number
1804-4824
Periodical
Transactions of the VŠB – Technical University of Ostrava, Civil Engineering Series
Year of study
23
Number
State
Czech Republic
Pages from
26
Pages to
35
Pages count
10
URL
http://tces.vsb.cz
BibTex
@article{BUT179371, author="Bohumil {Šplíchal} and David {Lehký} and Jiří {Doležel}", title="Semi and fully-probabilistic nonlinear analysis of post-tensioned concrete bridge made of KT-24 girders", journal="Transactions of the VŠB – Technical University of Ostrava, Civil Engineering Series", year="2023", volume="23", number="1", pages="26--35", doi="10.35181/tces-2023-0005", issn="1804-4824", url="http://tces.vsb.cz" }