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JOURNALS // Theoretical and Applied Mechanics // Archive

Theor. Appl. Mech., 2024 Volume 51, Issue 1, Pages 13–25 (Mi tam139)

Synchronization conditions for stochastic landslide chain model with delayed coupling

Nebojša Vasovića, Srđan Kostićbc, Kristina Todorovićd, Dragoslav Kuzmanoviće

a Department of Applied Mathematics and Informatics, Faculty of Mining and Geology, University of Belgrade, Belgrade, Serbia
b Geology Department, Jaroslav Černi Water Institute, Belgrade, Serbia
c Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia
d Department of Mathematics and Physics, Faculty of Pharmacy, University of Belgrade, Belgrade, Serbia
e Faculty of Transport and Traffic Engineering, University of Belgrade, Belgrade, Serbia

Abstract: We examine the conditions for synchronization of landslide stochastic chain model with delayed coupling. Firstly, a new chain model for landslide dynamics is proposed, with the included effect of delayed coupling and background noise. The model is of the microscopic type, where the state of each block in the chain is influenced by the previous state of the same block and its neighbors as well as by noise. Secondly, we examine the stochastic synchronization of such a system of stochastic delay-differential equations. A sufficient condition for the exponential mean square stability of the synchronization is obtained. The sufficient condition indicates that the uni-directional asymmetric coupling induces the synchronization much more efficiently than the bi-directionally symmetric one. From the practical viewpoint, the results obtained confirm that different parts of the large unstable slope could exhibit synchronized activity under certain conditions, which indicates their possible larger influence on the structures (and generation of corresponding deformation) compared to the individual effect of unsynchronized activities.

Keywords: synchronization, time delay, noise, landslides.

MSC: 37N99

Received: 27.09.2023
Accepted: 22.11.2023

Language: English

DOI: https://doi.org/10.2298/TAM230927001V



© Steklov Math. Inst. of RAS, 2024