To improve the performance of traditional mechanical shock absorber, a new type of high molecular polymer is formulated and applied to overloaded vehicle shock absorber. According to the operating principle of high-pe...To improve the performance of traditional mechanical shock absorber, a new type of high molecular polymer is formulated and applied to overloaded vehicle shock absorber. According to the operating principle of high-performance viscoelastic material shock absorber, the geometrical structure of shock absorber is designed and machined. Then its theoretical model is derived by using analytical method, and the impact test is carried out on high-performance viscoelastic material shock absorber. The results show that experimental and theoretical damping force curves have good agreement, which validates the credibility of theoretical model. The investigation provides a potential way to enhance damping performance and increase vehicle load.展开更多
Predicting damage to vibration isolators in a raft experiencing heavy shock loadings from explosions is an important task when designing a raft system. It is also vital to be able to research the vulnerability of heav...Predicting damage to vibration isolators in a raft experiencing heavy shock loadings from explosions is an important task when designing a raft system. It is also vital to be able to research the vulnerability of heavily shocked floating rafts unreliable, especially when the allowable values The conventional approach to prediction has been or ultimate values of vibration isolators of supposedly uniform standard in a raft actually have differing and uncertain values due to defective workmanship. A new model for predicting damage to vibration isolators in a shocked floating raft system is presented in this paper. It is based on a support vector machine(SVM), which uses Artificial Intelligence to characterize complicated nonlinear mapping between the impacting environment and damage to the vibration isolators. The effectiveness of the new method for predicting damage was illustrated by numerical simulations, and shown to be effective when relevant parameters of the model were chosen reasonably. The effect determining parameters, including kernel function and penalty factors, has on prediction results is also discussed. It can be concluded that the SVM will probably become a valid tool to study damage or vulnerability in a shocked raft system.展开更多
基金National Natural Science Foundation of China(No.51476150)Funds for International Joint Research Program of Shanxi Province(No.2014081028)Scientific and Technologial Innovation Programs of Higher Education Institutions of Shanxi Province
文摘To improve the performance of traditional mechanical shock absorber, a new type of high molecular polymer is formulated and applied to overloaded vehicle shock absorber. According to the operating principle of high-performance viscoelastic material shock absorber, the geometrical structure of shock absorber is designed and machined. Then its theoretical model is derived by using analytical method, and the impact test is carried out on high-performance viscoelastic material shock absorber. The results show that experimental and theoretical damping force curves have good agreement, which validates the credibility of theoretical model. The investigation provides a potential way to enhance damping performance and increase vehicle load.
文摘Predicting damage to vibration isolators in a raft experiencing heavy shock loadings from explosions is an important task when designing a raft system. It is also vital to be able to research the vulnerability of heavily shocked floating rafts unreliable, especially when the allowable values The conventional approach to prediction has been or ultimate values of vibration isolators of supposedly uniform standard in a raft actually have differing and uncertain values due to defective workmanship. A new model for predicting damage to vibration isolators in a shocked floating raft system is presented in this paper. It is based on a support vector machine(SVM), which uses Artificial Intelligence to characterize complicated nonlinear mapping between the impacting environment and damage to the vibration isolators. The effectiveness of the new method for predicting damage was illustrated by numerical simulations, and shown to be effective when relevant parameters of the model were chosen reasonably. The effect determining parameters, including kernel function and penalty factors, has on prediction results is also discussed. It can be concluded that the SVM will probably become a valid tool to study damage or vulnerability in a shocked raft system.