摘要详情
435 / 2022-08-12 11:20:56
Input signal generation for virtual vibration test rig
Fatigue analysis; dozer blade; Virtual test rig; Multibody dynamics; Time signal generator;
摘要录用
Generally, fatigue analysis of the construction machinery is conducted using indoor vibration test rig which spends much in rig construction. Due to development of the virtual simulation and CAE technology, the construction machinery model is established with a high fidelity which promotes the development of the virtual vibration test rig.
An actual test should be conducted to measure the target signals such as displacement, velocity, acceleration, stress, strain and force. However, since the measurement data are output signals derived from specific locations, it cannot be directly applied as input signals to the virtual test rig. Moreover, the non-linear properties of the physical system are not considered by the Multibody Dynamics (MBD) model and the same boundary conditions in the virtual model is different with the physical system. Therefore, the new input signals matching with the virtual MBD model should be generated to output the target signals which are consistent with the target signals measured in the physical test. The TSG (Time Signal Generator) Toolkit of RecurDyn solves these inverse dynamics problem efficiently. There are the following steps to use the toolkit: Firstly, set up virtual actuators and sensors. The location, type and direction of the output sensors should be consistent with the physical test. The defined actuator will be applied into a function expression for the joint entity or force entity of the components. These sensors are used to collect the target signals and compared their difference with those measured in the test. Then the FRF (Frequency Response Function) is used to calculate the frequency characteristics of the system. Finally, iterative operation and error comparison analysis are carried out until a drive signal with very high coincidence with the target signal is generated. One case study---fatigue analysis of the dozer blade---is provided to prove the feasibility of the proposed method.
An actual test should be conducted to measure the target signals such as displacement, velocity, acceleration, stress, strain and force. However, since the measurement data are output signals derived from specific locations, it cannot be directly applied as input signals to the virtual test rig. Moreover, the non-linear properties of the physical system are not considered by the Multibody Dynamics (MBD) model and the same boundary conditions in the virtual model is different with the physical system. Therefore, the new input signals matching with the virtual MBD model should be generated to output the target signals which are consistent with the target signals measured in the physical test. The TSG (Time Signal Generator) Toolkit of RecurDyn solves these inverse dynamics problem efficiently. There are the following steps to use the toolkit: Firstly, set up virtual actuators and sensors. The location, type and direction of the output sensors should be consistent with the physical test. The defined actuator will be applied into a function expression for the joint entity or force entity of the components. These sensors are used to collect the target signals and compared their difference with those measured in the test. Then the FRF (Frequency Response Function) is used to calculate the frequency characteristics of the system. Finally, iterative operation and error comparison analysis are carried out until a drive signal with very high coincidence with the target signal is generated. One case study---fatigue analysis of the dozer blade---is provided to prove the feasibility of the proposed method.
重要日期
-
会议日期
11月01日
2022
至11月03日
2022
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10月30日 2022
初稿截稿日期
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11月09日 2022
注册截止日期
主办单位
Qingdao University of Technology
联系方式
- Miss T. Yuan
- se******@apvc2021.org
