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基于TRT系统的地质构造三维成像技术及其改进方法 被引量:21
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作者 白明洲 田岗 +3 位作者 王成亮 师海 聂一聪 沈宇鹏 《地球物理学报》 SCIE EI CAS CSCD 北大核心 2016年第7期2684-2693,共10页
TRT技术是利用地震波反射原理来实现对灾害体的辨识,利用震源点与接收点共同组成的随时间变化的共焦椭球体来实现对灾害体的定位.根据TRT成果图像异常区域与隧道实际灾害的对应情况,将TRT图像异常区域划分为集群异常区、单体异常区、错... TRT技术是利用地震波反射原理来实现对灾害体的辨识,利用震源点与接收点共同组成的随时间变化的共焦椭球体来实现对灾害体的定位.根据TRT成果图像异常区域与隧道实际灾害的对应情况,将TRT图像异常区域划分为集群异常区、单体异常区、错断异常区、互层异常区四种类型.针对TRT技术自身存在的直达波速计算不准确、背景波速取定不合理等问题,提出了相应的改进方法,一方面通过计算出直达波在隧道洞身的实际传播的最小轨迹,求得震源点到接收点的实际直达波速;另一方面根据实际直达波速的分布特征,求出正态分布条件下,实际直达波速在置信水平为1-a的置信区间,并将置信区间的上下限值作为背景波速录入TRT系统,得出两组TRT成果图像,这样就改变了人工取定背景波速所存在的单一性与盲目性,使得改进后的灾害预测有了一定的区间考量.通过实例验证,发现改进后的预测效果明显优于改进前采用人工取定背景波速时的预测效果,并在一定程度上避免了灾害漏报的可能. 展开更多
关键词 隧道 TRT技术 地震波 椭球体 异常区 背景波速
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Unification of Dark Matter and Dark Energy in a Modified Entropic Force Model 被引量:1
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作者 常哲 李明华 李昕 《Communications in Theoretical Physics》 SCIE CAS CSCD 2011年第7期184-192,共9页
In Verlinde's entropic force scenario of gravity, Newton's laws and Einstein equations can be obtained from the first principles and general assumptions. However, the equipartition law of energy is invalid at very l... In Verlinde's entropic force scenario of gravity, Newton's laws and Einstein equations can be obtained from the first principles and general assumptions. However, the equipartition law of energy is invalid at very low temperatures. We show clearly that the threshold of the equipartition law of energy is related with horizon of the universe. Thus, a one-dimensional Debye (ODD) model in the direction of radius of the modified entropic force (MEF) may be suitable in description of the accelerated expanding universe. We present a Friedmann cosmic dynamical model in the ODD-MEF framework. We examine carefully constraints on the ODD-MEF model from the Union2 compilation of the Supernova Cosmology Project (SCP) collaboration, the data from the observation of the large-scale structure (LSS) and the cosmic microwave background (CMB), i.e. SNe Ia+LSS+CMB. The combined numerical analysis gives the best-fit value of the model parameters ( -10^-9 and Ωm0= 0.224, with 2 = Xmin= 591.156. The corresponding age of the universe agrees with the result of D. Spergel et al. [J.M. Bardeen, B. Carter, and S.W. Hawking, Commun. Math. Phys. 31 (1973) 161] at 95% confidence level. The numerical result also yields an accelerated expanding universe without invoking any kind of dark energy. Taking ζ(= 2πωD/ H0 ) as a running parameter associated with the structure scale r, we obtain a possible unified scenario of the asymptotic flatness of the radial velocity dispersion of spiral galaxies, the accelerated expanding universe and the Pioneer 10/11 anomaly in the entropic force framework of Verlinde. 展开更多
关键词 dark energy dark matter
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RCS analysis in the detection of a generic missile target with sea clutter background 被引量:2
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作者 LI Yang TAO Ran 《Science China Earth Sciences》 SCIE EI CAS 2014年第11期2845-2852,共8页
The detection of a missile target in heavy sea clutter is a significantly challenging problem due to the clutter effects. In this paper, the radar cross sections(RCS) of a pre-assumed generic missile model is computed... The detection of a missile target in heavy sea clutter is a significantly challenging problem due to the clutter effects. In this paper, the radar cross sections(RCS) of a pre-assumed generic missile model is computed with multilevel fast multi-pole algorithm(MLFMA), while the RCS of ocean surface is computed by a more reduced form of the fractional Weierstrass scattering model proposed here. At last, the computed RCS of missile model is compared with that of sea surface, and then the comparisons of missile-to-ocean RCS ratios of different incident angles, incident frequencies, and polarization patterns are also presented. The discussion and comparisons of RCS of the missile and ocean surface can help us to plan and design a radar system in the application of detection of a missile target or other analogous weaker targets in the strong sea clutter background. 展开更多
关键词 missile target sea clutter radar cross section (RCS) fractional Weierstrass scattering model multilevel fast multi-polealgorithm (MLFMA)
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