Recent years the damage assessment of structure has been focused on small structures, and more emphases were put on using the modal parameters of the intact and damaged structures.
近年来对结构的损伤评估多局限于小型结构，并强调利用结构损伤前后较高阶的模态数据。
Based on neural network, this paper presents a method of damage assessment of frame structures, which provides a new approach for damage assessment of structures under dynamic conditions.
提出了基于神经网络的框架结构破损评估方法，为动力条件下结构的破损评估提供了一条新的途径。
In recent years, the damage assessment and modification of structures has drawn wide attention from various engineering fields.
近年来，在不同工程领域，损伤评估技术及模型更新技术均引起人们的广泛关注。
The vibration damage assessment method applicable to the overall damage assessment of complex structures.
而振动破损评估法适用于复杂结构整体损伤评估。
The analysis of a double column pier has proved that this damage assessment model can give a simple, reasonable and consistent damage indicator for structures.
通过一座双柱式桥墩的计算分析表明，采用这种方法可以简单、合理、可靠地得出结构的损伤值。
The method of structural damage assessment based on changes in eigenvalues has some defects. Therefore, this paper presents a method of damage assessment of frame structures based on changes in mode.
针对常规的基于特征值变化进行结构破损评估方法的不足，提出了基于振型变化进行框架结构破损评估的方法。
The method of structural damage assessment based on changes in eigenvalues has some defects. Therefore, this paper presents a method of damage assessment of frame structures based on changes in mode.
针对常规的基于特征值变化进行结构破损评估方法的不足，提出了基于振型变化进行框架结构破损评估的方法。
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