Olawale, Lukman and George, Erwin and Gao, Tao and Lai, Choi-Hong (2024) Response of a slender structure subject to stochastic ground motion and body force. In: UK Association for Computational Mechanics Conference 2024, 2024-04-10 - 2026-07-12, Durham, UK.
Olawale, Lukman and George, Erwin and Gao, Tao and Lai, Choi-Hong (2024) Response of a slender structure subject to stochastic ground motion and body force. In: UK Association for Computational Mechanics Conference 2024, 2024-04-10 - 2026-07-12, Durham, UK.
Olawale, Lukman and George, Erwin and Gao, Tao and Lai, Choi-Hong (2024) Response of a slender structure subject to stochastic ground motion and body force. In: UK Association for Computational Mechanics Conference 2024, 2024-04-10 - 2026-07-12, Durham, UK.
Abstract
The stochastic analysis of the deflection behaviour of an idealised slender structure subject to stochastic disturbance is studied. In a previous work by the authors, the response of an Euler-Bernoulli beam subject to stochastic disturbance was studied. The current work extends the same techniques to a modified Euler-Bernoulli beam with both flexural beam and shear properties. The beam is subjected to a stochastic ground motion in the form of periodic motion with disturbance in the amplitude of the motion. The disturbance is in the form of Gaussian white noise. This results in a Stochastic Partial Differential Equation (SPDE) version of the modified Euler-Bernoulli beam equation. The stochastic analysis was then conducted by numerical methods using a combination of a finite difference scheme and Monte-Carlo Simulation. Given that the input force is Gaussian, it is also observed that the response of the system is a Gaussian process.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | Euler-Bernoulli beam; Stochastic PDE; White noise; Uncertainty quantification; Implicit numerical scheme; Monte carlo method |
| Divisions: | Faculty of Science and Health Faculty of Science and Health > Mathematics, Statistics and Actuarial Science, School of |
| SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
| Depositing User: | Unnamed user with email elements@essex.ac.uk |
| Date Deposited: | 29 Jul 2026 11:04 |
| Last Modified: | 29 Jul 2026 11:04 |
| URI: | http://repository.essex.ac.uk/id/eprint/38644 |
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