Authors:
S. Vijayan, D. Senthilvelan, Yuri Ryagin

Addresses:
Department of Civil Engineering, SRM Institute of Science and Technology, Ramapuram, Chennai, Tamil Nadu, India. Department of Low Temperature Physics and Nanoscale Systems, Ural Federal University (UrFU), Yekaterinburg, Sverdlovsk Oblast, Russia.

Abstract:

The stochastic structural dynamics, probability, random processes, and statistics are used to quantify load uncertainty. Many structural loads are unpredictable and change across time or space. Such forces also cause surprising dynamic behaviour in structures. Thus, stochastic processes and random vibrations are employed to describe such loads and evaluate the structure's response to estimate uncertainty. The Code book's wind load calculation method is deterministic, although some uncertainty always exists. The Young's modulus of Elasticity and wind load will be stochastic variables to account for uncertainty. Analysis will include a multi-storey braced steel frame. The Gust factor technique (IS: 875-2015: Part-III) will calculate wind load, and ANSYS will assess the structure utilising wind load and Young's Modulus as stochastic parameters. The stochastic/probabilistic analysis will create random wind load and Young's modulus of Elasticity values using the Monte Carlo Simulation Technique. Random Variable simulation will use MATLAB. Both studies' deflection values will be tallied and compared to a deterministic model of the same frame. This work aims to understand the structure's behaviour under uncertain wind loads and Young's modulus of Elasticity by conducting a probabilistic analysis and comparing the deflection values with a deterministic analysis.

Keywords: Gust Factor Approach; Monte Carlo Simulation Technique; MATLAB and ANSYS; Statistical Analysis; Finite Element Analysis (FEA); Deterministic Analysis; Dynamic Loads; Uncertainty Analysis.

Received on: 16/09/2024, Revised on: 22/11/2024, Accepted on: 07/01/2025, Published on: 05/06/2025

DOI: 10.69888/FTSSM.2025.000405

FMDB Transactions on Sustainable Structures and Materials, 2025 Vol. 1 No. 1, Pages: 22-34

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