Key Technologies of bridge health monitoring based on integration of big data and artificial intelligence

Project no.: 202014

Project description:

The goal of the project was to create new methods and algorithms for monitoring and monitoring the condition of bridges, to support the integration of big data and artificial intelligence. These methods are based on elements of nonlinear systems and chaos theory for processing bridge vibration signals and making decisions about the state of the bridge structure, defects, and estimating the remaining useful time of the bridge components.

Project results:

As a result of the project, a number of articles were published in prestigious international journals, a number of joint joint applications were prepared, and experimental data sets were exchanged, which are still successfully used outside the framework of the project.

Period of project implementation: 2020-05-15 - 2021-12-31

Project coordinator: Jinan University

Minvydas Kazys Ragulskis

2020 - 2021

Department of Mathematical Modelling, Faculty of Mathematics and Natural Sciences