|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
標(biāo)題 |
橋梁健康監(jiān)測損傷診斷方法研究(19 卷) |
英文標(biāo)題 |
Research on damage identification of health monitoring for bridge |
摘要 |
本文選用RBF神經(jīng)網(wǎng)絡(luò)實(shí)現(xiàn)對橋跨結(jié)構(gòu)的損傷評估,并采用基于MATLAB的最小二乘法曲線擬合預(yù)測特征參數(shù)的發(fā)展趨勢。通過對實(shí)際測試結(jié)果分析,表明系統(tǒng)性能良好,能夠客觀地對橋梁整體結(jié)構(gòu)作出評估。 |
作者 |
新聞作者:張振平1,馬 躍2,尹錫軍1 |
關(guān)鍵字 |