摘要
声振法检测水泥混凝土路面脱空所采集的是声振信号,可用频谱图分析,采用奇异值分解可有效地提取特征矢量,并将特征矢量送入神经网络进行模式识别。分析结果表明,能在车辆噪声干扰下有效地识别水泥混凝土路面板下地基的脱空情况,为检测路面板下地基脱空的方法提供了理论依据。
Acoustic vibration method detects cement concrete pavement void by collecting acoustic signals for spectrum analysis.Characteristic vector can be effectively extracted using singular value decomposition and then sent to neural network for pattern recognition.The result shows that it can effectively identify foundation void of cement concrete pavement,which provides theoretical basis for detecting foundation void.
出处
《路基工程》
2010年第6期16-19,共4页
Subgrade Engineering
关键词
道路工程
水泥混凝土路面脱空判定
短时傅立叶变换(STFT)
奇异值分解(SVD)
声振法
神经网络
road engineering
cement concrete pavement void identification
short-time Fourier transform(STFT)
singular value decomposition(SVD)
acoustic vibration method
neural network