Open AccessThe assessment of critical vibration values of the construction based on the application of the bifurcation approach in automated geotechnical control systems
Author(s) -
Nikolay V. Dorofeev,
A. V. Grecheneva,
R V Romanov,
E. S. Pankina
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/890/1/012074
Subject(s) - vibration , stability (learning theory) , bifurcation , stiffness , nonlinear system , structural engineering , noise (video) , bifurcation diagram , engineering , vibration control , geotechnical engineering , control theory (sociology) , computer science , control (management) , physics , quantum mechanics , machine learning , artificial intelligence , image (mathematics)
The article deals with the description of the method of building construction stability assessment based on the bifurcation approach and vibration parameters for automated geotechnical control. The use of external vibrational geotechnical noise as a source of a sounding signal in automated systems of geotechnical monitoring is proposed and justified. The interrelation of the influence of vibrational factors on the stability parameters of structures is established and their numerical characteristics are given. A nonlinear model of the stability of the structure is given taking into account the impact of vibration factors. The dynamic behavior of structural elements of the structure with one degree of freedom was modeled, taking into account the load, and a bifurcation diagram was constructed. It is established that in the presence of technogenic vibrational noise, the mass of the upper floors of the building has a significantly greater effect on the stability parameters of the structure. The effectiveness of the proposed approach is proved by comparing the values obtained in the calculation of the mechanical stiffness of the structure according to the standard method using a dynamic coefficient.