학술논문

Assessment of Key Bifurcation Zones in the Information and Analytical System of Geotechnical Monitoring
Document Type
Conference
Source
2021 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS) Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), 2021 11th IEEE International Conference on. 2:947-950 Sep, 2021
Subject
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
General Topics for Engineers
Robotics and Control Systems
Signal Processing and Analysis
Training
Neural networks
Buildings
Bifurcation
Prediction algorithms
Stability analysis
Data models
monitoring
geotechnical
system
neural network
bifurcation
Language
ISSN
2770-4254
Abstract
In this paper, we propose an algorithm for identifying key zones of geotechnical monitoring based on the data of an information and analytical system. The algorithm are based on the analysis of the stability of individual sections of the geotechnical system. The analysis of group stability is carried out by neural network approach and a basic model. The correction of the permissible limits of the output of the controlled parameters is proposed to be carried out taking into account the results of the bifurcation analysis. The practical verification of the proposed algorithm was carried out on the monitoring data of a three-story building. The efficiency of the algorithm is confirmed by the results of geotechnical monitoring and modeling.