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Yupeng Cao,Jianwen Ding,Rui Zhang,Guizhong Xu 대한토목학회 2021 KSCE JOURNAL OF CIVIL ENGINEERING Vol.25 No.9
Vertical flow has an important effect on consolidation rate of ultra-soft soil, but the influence law and influence level on the degree of large-strain consolidation have not been quantitatively evaluated. Based on the negative axisymmetric large strain consolidation (NALSC) model, the variation laws of calculation error of consolidation degree ignoring vertical flow with consolidation time and strain are studied under different values of H/re (ratio of soil thickness to influence radius), w0/wL (ratio of initial water content to liquid limit) and kh/kv (ratio of horizontal permeability coefficient to vertical permeability coefficient). Taking 10% as the error threshold, the H/re values ignoring vertical flow are given, and the difference between them in the theories of large-strain and small-strain is discussed. The results show that the effect of vertical flow on degree of stress consolidation (Up) is greater than degree of strain consolidation (Us). The H/re values neglecting the effect of vertical flow on the degree of consolidation in large-strain theory are less than those in small-strain theory. The calculation errors affected by vertical flow decrease with the increase of H/re and kh/kv. Error of Us affected by vertical flowdecreases, whereas error of Up increases with the increase of w0/wL. The effect of vertical flow on the degree of consolidation is greater when well resistance is considered.
Triple-Band Scheduling with Millimeter Wave and Terahertz Bands for Wireless Backhaul
Yibing Wang,Hao Wu,Yong Niu,Jianwen Ding,Shiwen Mao,Bo Ai,Zhangdui Zhong,Ning Wang 한국통신학회 2022 Journal of communications and networks Vol.24 No.4
With the explosive growth of mobile traffic demand, densely deployed small cells underlying macrocells have great potential for 5G and beyond wireless networks. In this paper, we consider the problem of supporting traffic flows with diverse QoS requirements by exploiting three high frequency bands, i.e., the 28 GHz band, the E-band, and the Terahertz (THz) band. The cooperation of the three bands is helpful for maximizing the number of flows with their QoS requirements satisfied. To solve the formulated nonlinear integer programming problem, we propose a triple-band scheduling scheme which can select the optimum scheduling band for each flow among three different frequency bands. The proposed scheme also efficiently utilizes the resource to schedule flow transmissions in time slots. Ex- tensive simulations demonstrate the superior performance of the proposed scheme over three baseline schemes with respect to the number of completed flows and the system throughput.