本文選題：混凝土切片　切入點：環(huán)狀分區(qū)　出處：《人民長江》2017年23期

【摘要】：針對混凝土圓形工業(yè)CT掃描切片中間暗四周亮、灰度圖像無明顯雙峰的缺陷,為提高圖像閾值分割的準確性,設計了一種基于環(huán)狀分區(qū)和區(qū)域生長法相結(jié)合的圖像分割算法,并將其與不同分割方法進行效果對比分析。利用醫(yī)學軟件MIMICS對圖像進行選擇性編輯、補洞處理和冗余數(shù)據(jù)去除,并利用布爾操作界定出50μm厚度界面,從而完成混凝土CT切片四值化劃分。將四值數(shù)據(jù)導入ABAQUS中,建立有限元細觀模型并進行巴西劈裂試驗的數(shù)值模擬。數(shù)值結(jié)果與物理試驗結(jié)果相近,表明所設計的分割方法能夠為真實混凝土精確數(shù)值模型的建立提供有效信息。
[Abstract]:In order to improve the accuracy of image threshold segmentation, an image segmentation algorithm based on ring partition and region growth method is designed to improve the accuracy of image threshold segmentation.The results are compared and analyzed with different segmentation methods.The medical software MIMICS is used to selectively edit the image, repair holes and remove redundant data. The 50 渭 m thickness interface is defined by Boolean operation, and the quadrature partition of concrete CT slice is completed.The four-value data were introduced into ABAQUS and the finite element mesoscopic model was established and the Brazilian splitting test was simulated.The numerical results are similar to the physical test results, which show that the proposed segmentation method can provide effective information for the establishment of accurate numerical model of real concrete.
【作者單位】： 西北農(nóng)林科技大學水利與建筑工程學院;
【基金】：國家自然科學基金資助項目(51379178) 中央高�；究蒲袠I(yè)務費專項資金資助項目(ZD2012015)
【分類號】：TP391.41;TU528
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本文編號：1724076