In this paper, firstly, target candidate regions are extracted by combining maximum symmetric surround saliency detection algorithm with a cellular automata dynamic evolution model. Secondly, an eigenvector independen...In this paper, firstly, target candidate regions are extracted by combining maximum symmetric surround saliency detection algorithm with a cellular automata dynamic evolution model. Secondly, an eigenvector independent of the ship target size is constructed by combining the shape feature with ship histogram of oriented gradient(S-HOG) feature, and the target can be recognized by Ada Boost classifier. As demonstrated in our experiments, the proposed method with the detection accuracy of over 96% outperforms the state-of-the-art method. efficiency switch and modulation.展开更多
为研究在围岩蠕变作用下不同埋深软岩盾构隧道管片结构的受荷特性,以广佛环线东环隧道工程为背景,利用FLAC3D(fast lagrangian analysis of continua in 3 dimensions)有限差分软件建立了数值分析模型,采用改进的黏弹塑性蠕变本构(burge...为研究在围岩蠕变作用下不同埋深软岩盾构隧道管片结构的受荷特性,以广佛环线东环隧道工程为背景,利用FLAC3D(fast lagrangian analysis of continua in 3 dimensions)有限差分软件建立了数值分析模型,采用改进的黏弹塑性蠕变本构(burgers-creep viscoplastic model, CVISC),分析了埋深对管片的位移、内力及与围岩的接触压力影响。结果表明:隧道初期开挖之后,顶部围岩沉降,底部发生隆起,考虑围岩蠕变效应后,管片衬砌发生整体沉降,隧道埋深越大,管片体整体沉降越发显著;随隧道埋深的增大,弯矩、轴力与接触压力均逐渐增大。围岩未考虑加速蠕变下,蠕变过程中管片衬砌的内力和接触压力的变化规律基本相同,有衰减蠕变和稳定蠕变两个阶段。展开更多
基金supported by the National Natural Science Foundation of China(No.61401425)
文摘In this paper, firstly, target candidate regions are extracted by combining maximum symmetric surround saliency detection algorithm with a cellular automata dynamic evolution model. Secondly, an eigenvector independent of the ship target size is constructed by combining the shape feature with ship histogram of oriented gradient(S-HOG) feature, and the target can be recognized by Ada Boost classifier. As demonstrated in our experiments, the proposed method with the detection accuracy of over 96% outperforms the state-of-the-art method. efficiency switch and modulation.
