A viscous damper and its design method
By designing a viscous damper with its own displacement amplification effect and optimizing the damper parameters using the Kriging model, the interconnection effect problem of traditional viscous dampers when interconnecting multiple devices is solved, achieving more efficient shock absorption and stable system damping characteristics.
CN118070507BActive Publication Date: 2025-03-25CITIC GENERAL INST OF ARCHITECTURAL DESIGN & RES
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Patent Information
- Application Number
- CN202410177053.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-02-08
- Publication Date
- 2025-03-25
- Estimated Expiration
- 2044-02-08
AI Technical Summary
Technical Problem
Traditional viscous dampers are prone to interconnection effects when multiple devices are interconnected, resulting in changes in the damping characteristics of the system and affecting shock absorption efficiency.
Method used
Design an efficient viscous damper with its own displacement amplification effect, and establish a design method for damper through the Kriging model to optimize the damper parameters to avoid interconnection effects.
Benefits of technology
It effectively improves the shock absorption efficiency of viscous damping, avoids the interconnection effect between the dampers, and ensures the stability of the damping characteristics of the system.
✦ Generated by Eureka AI based on patent content.
Abstract
The invention relates to a viscous damper and a design method thereof, and proposes a viscous damper that can be used in conjunction with a toggle-type amplifying device; determining a layout scheme of the damper according to a building facade: determining the layout scheme of the damper according to the building facade and building functional requirements; optimizing the design parameters of the damper based on a Kriging model: defining an optimization problem; collecting data; constructing a Kriging model: estimating a response value in a parameter space and providing uncertainty information related to the response value; optimizing damper parameters; model verification; iterative optimization: adjusting the optimization problem definition, collecting more data and improving the Kriging model according to the model verification result, and re-optimizing parameters until a satisfactory design result is achieved; the viscous damper and the design method thereof finally find the best parameter combination that meets the design requirements through an iterative optimization algorithm.
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