Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Design method of intelligent control of building structure earthquake response based on online support vector machine

A support vector machine and building structure technology, which is applied in the field of building structure anti-seismic, can solve the problems of difficulty in arranging sensors, large number of degrees of freedom, and uneconomical, etc., and achieve the effect of obvious control advantages and precise structural prediction and control force

Active Publication Date: 2015-09-09
SHANGHAI GREENLAND CONSTR GRP +1
View PDF5 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in actual engineering, due to the large number of degrees of freedom in the actual structure, it is very difficult to arrange sensors on all degrees of freedom. At the same time, sensors and data acquisition systems are always affected by ambient noise
Therefore, it is often unrealistic and uneconomical to obtain all the state variables of the measurement system. Therefore, it is becoming more and more important to use new control methods to solve the above problems and further optimize the control effect of structural vibration response.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Design method of intelligent control of building structure earthquake response based on online support vector machine
  • Design method of intelligent control of building structure earthquake response based on online support vector machine
  • Design method of intelligent control of building structure earthquake response based on online support vector machine

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0022] The implementation of the present invention will be further described in detail below in conjunction with accompanying drawings 1 and 2. The steps of the intelligent control design method for the earthquake response of the structure based on the online support vector machine of the present invention are as follows:

[0023] The first step is to select a typical three-story shear frame structure and install an MR damper on each floor. Assuming that the above-mentioned structure is located in downtown Shanghai, in accordance with the requirements of the building seismic design code, the seismic fortification intensity is 7 degrees, and the basic seismic acceleration is designed. The value is 0.1g. Choose four seismic waves: El-centro wave, Kobe wave, Shanghai artificial wave 1, Shanghai artificial wave 2, and adjust the peak acceleration of the four seismic waves to 0.1g according to the seismic requirements, and apply the amplitude-modulated seismic wave data to the selecte...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses an on-line support vector machine (SVM)-based building structure earthquake response intelligent control design method, which is implemented by the steps of: 1, selecting a structural model, acquiring earthquake wave, performing earthquake response analysis on the structure, substituting in an LQG (Linear Quadratic Gaussian) controller, and calculating required optimal active control force; 2, arranging a plurality of MR (Magnetic Resonance) dampers for each floor of the structure according to a predetermined control level, determining MR damper parameters by taking the optimal active control force as target force and designing a structural LQG MR damper control system; and 3, estalibhsing a core module of a structure-SA (Semi-Active)-SVM-MR damper intelligent control system, and executing learning, training, prediction and control functions of on-line SVM. Numerical verification shows that the intelligent control system is more effective than the LQG MR damper control system. According to the method, the problem of poor structure acceleration response control effect or amplification of the LQG MR damper control system is solved, and a better control effect on structure acceleration response is achieved; and along with increasing floors of the structure, the intelligent control system has more obvious control advantage for the structure acceleration response.

Description

Technical field [0001] The invention relates to the technical field of seismic resistance of building structures, and specifically, it is a design method for using artificial intelligence technology such as support vector machines to establish an intelligent control system for seismic response of building structures. Background technique [0002] At present, magnetorheological (MR) damper is a kind of damper with good application prospects among various energy dissipation dampers widely studied at home and abroad. The fluid in the MR damper is composed of a non-magnetic liquid and tiny soft magnetic particles with high permeability and low hysteresis uniformly dispersed in it. Under the action of a magnetic field, the liquid can quickly and reversibly transform from a Newtonian fluid with good fluidity to a Bingham plastic solid with high viscosity and low fluidity within milliseconds. When the current in the coil increases, the magnetic field in the orifice will increase, and t...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G05B13/04
Inventor 谈德勤董鹏李泽史坚李春祥
Owner SHANGHAI GREENLAND CONSTR GRP
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Eureka Blog
Learn More
PatSnap group products