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Reliability assessment of circular steel arches with elastic restraints using hybrid ANN-MCS technique

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Abstract

The circular steel arches are large-span structures, which are shaped into a circular or semicircular form. The circular steel arch is widely used in bridges, tunnels, architectural design, industrial and warehouse buildings, and aqueducts. Circular steel arches are known for their strength and durability, making them a popular choice in architecture and civil engineering. The safety of circular steel arches bearing radial load with elastic rotational restraints depends on material properties, geometric dimensions, and boundary conditions. The objective of this research is to perform a reliability assessment of the in-plane elastic buckling critical load of circular steel arches with elastic rotational restraints considering random input parameters. For that, the Artificial Neural Network (ANN) algorithm is used to construct a model for estimating the in-plane elastic buckling critical load of the circular steel arches, while Monte Carlo Simulation (MCS) is used to simulate the in-plane elastic buckling critical load and assess structural reliability. The calculated results of the proposed model are compared with FORM, SORM, and MCS. Eventually, the influence of random input parameters on the reliability of circular steel arches is evaluated using the first order and total Solol’s indices.

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Contributions

S-MN: Methodology, Writing-Review and Editing, Formal analysis, N-LT: Writing-Review and Editing, Formal analysis, X-TP: Writing-Review and Editing. X-HN: Writing-Review an Editing. D-DN: Formal analysis, Writing–Original Draft, Writing–Review and Editing, Supervision. T-HN: Conceptualization, Software, Writing-Original Draft, Writing-Review and Editing.

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Correspondence to Trong-Ha Nguyen.

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Nguyen, SM., Nguyen, DD., Tran, NL. et al. Reliability assessment of circular steel arches with elastic restraints using hybrid ANN-MCS technique. Asian J Civ Eng 25, 3049–3057 (2024). https://doi.org/10.1007/s42107-023-00962-1

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