本文選題：道路工程　切入點：土基病害　出處：《中國公路學(xué)報》2017年05期 　論文類型：期刊論文

【摘要】：為準(zhǔn)確識別道路土基病害以避免路面塌陷事故的發(fā)生,采用探地雷達(dá)對城市道路進(jìn)行檢測。針對城市非硬化道路和硬化道路土基病害出現(xiàn)的一般規(guī)律,首先通過維納濾波器對探地雷達(dá)圖像進(jìn)行一維濾波,在濾波過程中,對增益函數(shù)進(jìn)行倒譜域內(nèi)的平滑處理,進(jìn)而得到增強(qiáng)的雷達(dá)圖像;然后,采用傅里葉變換、小波變換等信號處理方法,得到探地雷達(dá)圖像在不同變換域的結(jié)果,并通過構(gòu)建傅里葉核函數(shù)、多項式核函數(shù)、克羅內(nèi)克核函數(shù)等不同的核函數(shù)字典,對探地雷達(dá)圖像在不同變換域的結(jié)果進(jìn)行匹配追蹤,比較在不同核函數(shù)下的核匹配追蹤序列;最后,通過比較不同核匹配追蹤序列的差異,分別找出對道路土基水害和空洞病害類型敏感的核匹配追蹤序列,通過該序列識別城市道路土基病害的類型。利用基于相關(guān)系數(shù)的病害度量算法比較核匹配追蹤序列,判斷城市道路土基病害發(fā)生的區(qū)域,并通過算法識別非硬化道路與硬化道路的地下病害。結(jié)果表明:病害類型及范圍與實際情況相符,水害和空洞均能得到有效識別;通過5組城市道路探地雷達(dá)探測數(shù)據(jù)集驗證了算法的有效性,識別準(zhǔn)確率達(dá)到了99%以上;利用核匹配追蹤算法處理探地雷達(dá)圖像有助于城市道路土基病害識別,可減少路面塌陷事故的發(fā)生。
[Abstract]:In order to accurately identify the soil foundation diseases of the road and avoid the road collapse accident, the ground penetrating radar is used to detect the urban roads. In view of the general rules of the occurrence of the soil foundation diseases of the urban non-hardened roads and hardened roads, In the process of filtering, the gain function is smoothed in the cepstrum domain, and then the enhanced radar image is obtained. Then, Fourier transform is used to filter the GPR image. Wavelet transform and other signal processing methods are used to obtain the results of GPR images in different transform domains. Different kernel function dictionaries such as Fourier kernel function, polynomial kernel function, Croneker kernel function and so on are constructed. The results of GPR images in different transform domain are matched and tracked, and the kernel matching tracking sequences under different kernel functions are compared. Finally, the differences of different kernel matching tracking sequences are compared. The kernel matching tracking sequence, which is sensitive to the types of soil water hazards and cavity diseases, is found, and the types of urban soil foundation diseases are identified by this sequence. The correlation coefficient based disease measurement algorithm is used to compare the kernel matching tracking sequences. The area of soil foundation diseases in urban roads is judged, and the underground diseases of non-hardened roads and hardened roads are identified by the algorithm. The results show that the types and ranges of diseases are consistent with the actual situation, and both water hazards and voids can be effectively identified. The validity of the algorithm is verified by five sets of urban road ground penetrating radar data sets, and the recognition accuracy is over 99%, and the kernel matching tracking algorithm is used to deal with the ground penetrating radar images. It can reduce the occurrence of pavement collapse accident.
【作者單位】： 中國礦業(yè)大學(xué)(北京)機(jī)電與信息工程學(xué)院;中國礦業(yè)大學(xué)(北京)地球科學(xué)與測繪工程學(xué)院;
【基金】：國家自然科學(xué)基金項目(41504112) 北京市自然科學(xué)基金項目(8162035) 國家重大科學(xué)儀器設(shè)備開發(fā)專項項目(2012YQ030126) 北京市交通行業(yè)科技項目(TC1405AK9)
【分類號】：U418.5
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本文編號：1559585