Intelligent computing and simulation in seismic mitigation efficiency analysis for the variable friction coefficient RFPS structure system

• Published in: Neural computing & applications Vol. 33; no. 3; pp. 925 - 935
• Main Authors: Fu, Teng, Wang, Wenhui, Ge, Nan, Wang, Xingguo, Zhang, Xinyuan
• Format: Journal Article
• Language: English
• Published: London Springer London 01-02-2021; Springer Nature B.V
• Subjects: Artificial Intelligence; Bearings; Coefficient of friction; Computational Biology/Bioinformatics; Computational Science and Engineering; Computer Science; Data Mining and Knowledge Discovery; Friction; Image Processing and Computer Vision; Pendulums; Probability and Statistics in Computer Science; Rolling resistance; S.i. : Atci 2020; Special Issue on ATCI 2020; Seismic isolation structure; Inter-story displacement; The theorem of kinematics energy; The nonlinear differential equation
• ISSN: 0941-0643; 1433-3058
• DOI: 10.1007/s00521-020-05290-y

According to Lagrange’s equation, the governing equation for a base isolated structural system was presented, with a variable friction coefficient RFPS (the rolling friction pendulum system) bearing on arbitrary curves. Its solution was presented with software prepared from MATLAB language. Results show that the variable friction coefficient RFPS might result in complication of structural dynamic responses. It is noticed that seismic mitigation efficiency for the variable friction coefficient is close to that for the high friction coefficient, but with notable disadvantages to the lower friction coefficient. As RFPS slipper transits from the low- to the high-friction area, the structural system could exhibit noticeable whipping effect, which will amplify story accelerations. It is suggested that lower friction coefficient FPS bearings, instead of variable friction coefficient RFPS bearings, should be applied.