论文部分内容阅读
针对空间结构自由度多,地震作用下存在复杂的非线性等特性,该文提出了以小波包分析为基础,结合多传感器数据融合和聚类分析等手段的空间网壳结构地震作用下的损伤判别方法。首先建立损伤指标和损伤判别样本库,应用最小距离原则判别结构的损伤位置;其次考虑噪声污染对判别的影响,检验了损伤指标的抗噪性;最后采用数值模拟进行典型算例分析,准确判别出强震后结构发生损伤的位置,验证了该方法的有效性及工程可行性。
Due to the high degree of freedom in the spatial structure and the complex nonlinearity under the earthquake action, this paper presents the damage caused by the earthquake under the effect of the space network shell structure based on the wavelet packet analysis and the multi-sensor data fusion and clustering analysis Discriminant method. Firstly, the damage index and the damage identification sample library are established, and the minimum distance principle is used to determine the damage location of the structure. Secondly, the influence of noise pollution on the discrimination is considered, and the anti-noise performance of the damage index is tested. Finally, a typical example is analyzed by numerical simulation, The location of structural damage after strong earthquakes verified the effectiveness of the proposed method and feasibility of the project.