通过分析小波概率神经网络(WPNN)与数据融合技术在工程结构损伤识别中的应用原理,建立了基于小波概率神经网络和数据融合技术的模型。对悬臂板结构进行了数值模拟试验,运用损伤单元训练了该楼层神经网络模型,并选取4个单元作为检验样本进行检验,检验的结果与数值试验分析吻合较好,从而表明,文中方法在工程结构的损伤识别中有较好的应用价值。
Analyzing the principles and applications of WPNN and data fusion in structural damage detection, we set a model based on WPNN and data fusion technology. Then we take a numerical simulation test on cantilever slab structure. Afterwards we test four chosen units. The result tallies with the analysis of the numerical test. This shows its great application value in structural damage tetection.