排序方式: 共有24条查询结果,搜索用时 15 毫秒
1.
2.
3.
4.
关于承受冲击压力的压杆的研究,各方面已经做了不少的理论分析和试验.本文讨论的压杆不仅承受轴向的冲击压力,而且同时受到横向的冲击荷载作用,我们以研究这种压杆的承载能力为主要目的.为了了解它的动力性能,故从弹性振动开始讨论,同时对其弹塑性振动也作扼要的分析.本文中假设:1)压杆的冲击压力的作用时间是比较长,压力波的传播和反射过程不予考虑.2)压杆具有初始偏心,主要研究它的横向振动.承受冲击压力的直杆的纵向振动不在本文讨论范围之内.3)变形超过弹性极限后压杆近似地作为具有一个塑性铰的刚塑性体系来处理 相似文献
5.
6.
7.
IntroductionServiceloads,environmentalandaccidentalactionsmaycausedamagetostructures .Whenthestructuraldamageissmalloritisintheinteriorofthestructure,itsdetectioncannotbedonevisually.Inspectionofexistingbuildingsandbridgesaftercatastrophicevents,suchasearthquakesandhurricanes,aswellasundernormaloperatingconditions ,isoftentimeconsumingandcostlybecausecriticalmembersandconnectionsareconcealedundercladdingandotherarchitecturaldecorations.Formanyimportantstructures,suchashospitals,firestations,mi… 相似文献
8.
9.
The relative sensitivities of structural dynamical parameters were analyzed using a directive derivation method. The neural network is able to approximate arbitrary nonlinear mapping relationship, so it is a powerful damage identification tool for unknown systems. A neural network-based approach was presented for the structural damage detection. The combined parameters were presented as the input vector of the neural network, which computed with the change rates of the several former natural frequencies (C), the change ratios of the frequencies (R), and the assurance criterions of flexibilities ( A ). Some numerical simulation examples, such as, cantilever and truss with different damage extends and different damage locations were analyzed. The results indicate that the combined parameters are more suitable for the input patterns of neural networks than the other parameters alone. 相似文献
10.