| 1. | Concrete structure fault diagnosis using natural frequency
利用固有频率特征量诊断混凝土结构损伤位置 |
| 2. | Structural damage localization using probabilistic neural network
用概率神经网络进行结构损伤位置识别 |
| 3. | Curvature model based many damage locations identification of reinforced concrete beam
基于曲率模态的钢筋混凝土梁多点损伤位置识别 |
| 4. | At last , after compassing the seal damage model to assumed one , the location of damages can be got
最后进行对比，得出损伤位置。最后进行算例分析。 |
| 5. | When the hangers are damaged as seriously as 10 % . 90 % , the network still gives good predictions
以10 、 90的吊杆损伤对应的数据验证网络，准确地识别了吊杆的损伤位置。 |
| 6. | It was proved that frequency change square ratio was a parameter for damage location and damage degree in a structure
结果表明，结构频率的平方变化比是损伤位置和损伤程度的函数。 |
| 7. | A structural damage identification technique based on wavelet transform of spatial structural response measurements is discussed
摘要利用连续小波空间变换技术，对工程结构损伤信号进行分析，从而识别结构的损伤位置。 |
| 8. | All in all , if a suitable wavelet is selected , the method is capable to extract damage information from the response signal in a simple and reliable way
但总的来说，小波空间变换都能够方便简捷、准确可靠地识别出结构的损伤位置。 |
| 9. | At last , comparisons indicate that the damage of arch - ring elements with different location have different influence on the location of the damaged hangers
经过对比说明，不同位置拱肋单元的损伤，对吊杆损伤位置识别的影响不同。 |
| 10. | The results show that the mode strain energy is very sensitive to the damage of structure and can be used as an indicator in the diagnosis system
结果表明，模态应变能对损伤较为敏感，能够反映结构的局部状态变化，可以用来检测结构损伤位置。 |
