The Guidance of the Innovative Physical Model Test to Field Engineering
1China University of Mining & Technology, Beijing, China
2University of Northern British Columbia, Prince George, Canada
The Guidance of the Innovative Physical Model Test to Field Engineering
Description
Recently, many kinds of physical modelling-based experimental systems have emerged. The physical model test can simulate the complex geological structure comprehensively and realistically and reproduce the deformation and destruction process of the engineering structure intuitively. Its advantage is that the results are directly obtained during the experiment process, and the experimental results are relatively exact. Thus, it can reveal the effects of controllable influencing factors on the evolution process of engineering disasters, which can provide a basis for establishing new theoretical and mathematical models.
Currently, with the development of technology, various monitoring methods are applied to measuring the physical field of the model, which can help people to understand in depth the deformation and failure regulations of field engineering in extremely complex environments. At the same time, some advanced control methods are adopted in the model experiment to reinforce the stability of the engineering model, laying an effective guidance for field engineering construction and reinforcement. Therefore, more scholars are now investigating the deformation mechanisms of field engineering by the physical model experiment.
This Special Issue aims to present recent advances in studies on the engineering physical model experiment. We invite you to submit comprehensive review papers and original articles.
Potential topics include but are not limited to the following:
- Application of advanced monitoring methods in the physical model experiment
- Physical model experiment of field engineering under multi-coupling fields
- Establishment of novel theoretical and mathematical models according to the physical model experiment
- Application of new analysis methods to experimental data
- Considering new influencing factors compared with the conventional model experiment
- Application of novelty control methods for engineering disasters in the physical model experiment