首页> 外文会议>Testing soil mixed with waste or recyled materials >Prediction of Dynamic Properties by Low Strain Excitation of Residual materials
【24h】

Prediction of Dynamic Properties by Low Strain Excitation of Residual materials

机译:残余材料的低应变激励预测动力特性

获取原文
获取原文并翻译 | 示例

摘要

A nondestructive method of predicting dynamic properties is introduced to test granular systems composed of residual materials. A low-strain harmonic excitation at randomly selected frequencies produces propagating waves thorugh the granular system. The system wave response is termed the "signature pattern" due to its uniqueness and repeatability. The signature pattern is used to characterize the material by predicting dynamic properties such as shear modulus. Artificial Neural Networks(ANN) are introudced to facilitate pattern recognition and improve characterization.
机译:引入了一种动态特性预测的非破坏性方法来测试由残留材料组成的颗粒系统。在随机选择的频率上的低应变谐波激励会在粒状系统中产生传播波。由于其独特性和可重复性,系统波响应被称为“签名模式”。签名图案用于通过预测动态特性(例如剪切模量)来表征材料。引入人工神经网络(ANN)来促进模式识别和改善特征。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号