Combination of Partial Stochastic Linearization and Karhunen-Loeve Expansion to Design Coriolis Dynamic Vibration Absorber
| Autor: | Viet Duc La |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Karhunen–Loève theorem
Article Subject lcsh:Mathematics General Mathematics Computation Monte Carlo method General Engineering 02 engineering and technology lcsh:QA1-939 01 natural sciences Wind engineering Dynamic Vibration Absorber Nonlinear system 020303 mechanical engineering & transports 0203 mechanical engineering lcsh:TA1-2040 Control theory Linearization 0103 physical sciences Feedback linearization lcsh:Engineering (General). Civil engineering (General) 010301 acoustics Mathematics |
| Zdroj: | Mathematical Problems in Engineering, Vol 2017 (2017) |
| ISSN: | 1563-5147 1024-123X |
| Popis: | Coriolis dynamic vibration absorber is a device working in nonlinear zone. In stochastic design of this device, the Monte Carlo simulation requires large computation time. A simplified model of the system is built to retain the most important nonlinear term, the Coriolis damping of the dynamic vibration absorber. Applying the full equivalent linearization technique to the simplified model is inaccurate to describe the nonlinear behavior. This paper proposes a combination of partial stochastic linearization and Karhunen-Loeve expansion to solve the problem. The numerical demonstration of a ropeway gondola induced by wind load is presented. A design example based on the partial linearization supports the advantage of the proposed approach. |
| Databáze: | OpenAIRE |
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