7 research outputs found

    AutoCAD二次开发在地铁车站围护结构设计中的应用与研究

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    钢连梁与混凝土剪力墙钢暗柱式连接节点的承载力理论模型

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    用钢连梁代替混凝土连梁用于混凝土联肢剪力墙,可大大改善联肢墙结构的延性和耗能性能,提高结构抗震能力,但前提是须保证钢连梁与混凝土剪力墙连接节点的可靠性。钢暗柱式墙梁连接节点具有承载力大、刚度大以及能提高剪力墙自身延性等优点。针对内埋钢暗柱式节点形式,基于前期试验数据和正交试验有限元模拟结果,重点研究了此种节点的受力机理以及破坏模式,提炼出关键参数和设计原则,随后建立了这种节点极限承载力的理论模型与计算公式。分析表明,内埋钢暗柱梁墙节点极限承载力主要由3个部分贡献:受拉区钢筋拉力或者钢暗柱截面抗剪强度、钢暗柱埋深部分混凝土压力以及钢暗柱节点域抗剪强度。其中钢暗柱节点域抗剪强度同样由3部分组成:钢暗柱腹板机构、内部混凝土斜压杆机构以及外部桁架机构。通过与试验及精细有限元模型结果进行对比,证明了提出的理论模型简便易行且具有较高精度,所做研究为这种新型节点在工程中的应用提供了简便的设计方法

    富水软土地区地铁车站逆作法设计及施工

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    Measurement of integrated luminosity of data collected at 3.773 GeV by BESIII from 2021 to 2024

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    We present a measurement of the integrated luminosity e+e- of collision data collected by the BESIII detector at the BEPCII collider at a center-of-mass energy of Ecm = 3.773 GeV. The integrated luminosities of the datasets taken from December 2021 to June 2022, from November 2022 to June 2023, and from October 2023 to February 2024 were determined to be 4.995±0.019 fb-1, 8.157±0.031 fb-1, and 4.191±0.016 fb-1, respectively, by analyzing large angle Bhabha scattering events. The uncertainties are dominated by systematic effects, and the statistical uncertainties are negligible. Our results provide essential input for future analyses and precision measurements

    Amplitude analysis of the decays D0π+ππ+πD^0\rightarrow\pi^+\pi^-\pi^+\pi^- and D0π+ππ0π0D^0\rightarrow\pi^+\pi^-\pi^0\pi0

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    Measurement of integrated luminosity of data collected at 3.773 GeV by BESIII from 2021 to 2024*

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    Determination of the number of ψ(3686) events taken at BESIII

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    The number of ψ(3686) events collected by the BESIII detector during the 2021 run period is determined to be (2259.3±11.1)×106 by counting inclusive ψ(3686) hadronic events. The uncertainty is systematic and the statistical uncertainty is negligible. Meanwhile, the numbers of ψ(3686) events collected during the 2009 and 2012 run periods are updated to be (107.7±0.6)×106 and (345.4±2.6)×106, respectively. Both numbers are consistent with the previous measurements within one standard deviation. The total number of ψ(3686) events in the three data samples is (2712.4±14.3)×10^
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