DOAJ Open Access 2023

Stochastic nonlinear inelastic analysis for steel frame structure using Monte Carlo sampling

Sy Hung Mai Huy-Khanh Dang Van Thuan Nguyen Duc-Kien Thai

Abstrak

This work comprehensively investigates the realistic ultimate resistance of steel frame structures based on the probability study model of input random variables due to uncertainty of material properties and geometric parameters. Four independent parameters and thirteen of their dependent components vary randomly in a variational range and seven scenarios of random combination are investigated by the probabilistic modeling, which incorporates the advanced inelastic analysis with direct Monte Carlo simulation. The analysis results for a typical example shows that the stochastic analysis result of steel frame's realistic ultimate resistance is lower than its deterministic analysis result, indicating that a stochastic analysis is needed to comprehensively qualify the safety of the structure. Moreover, a spectrum response, which is produced based on stochastic analysis, provides a better scientific solution.

Penulis (4)

S

Sy Hung Mai

H

Huy-Khanh Dang

V

Van Thuan Nguyen

D

Duc-Kien Thai

Format Sitasi

Mai, S.H., Dang, H., Nguyen, V.T., Thai, D. (2023). Stochastic nonlinear inelastic analysis for steel frame structure using Monte Carlo sampling. https://doi.org/10.1016/j.asej.2023.102527

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Informasi Jurnal
Tahun Terbit
2023
Sumber Database
DOAJ
DOI
10.1016/j.asej.2023.102527
Akses
Open Access ✓