当结构的高宽比较大时,在设防与罕遇地震作用下高烈度区的超高层结构的核心筒剪力墙可能承受倾覆力矩引起的巨大拉力,垂直于地震作用方向的核心筒翼墙受力状态接近于轴心受拉。由于混凝土抗拉强度较小,常采用钢板组合剪力墙来抵抗较大的墙肢拉力。采用非线性有限元法,对钢板组合剪力墙在轴心受拉作用下的开裂荷载、刚度变化、滞回性能与受拉承载力进行了较为全面的研究,表明混凝土对构件的轴拉承载力与刚度具有一定贡献。给出了钢板组合剪力墙在轴心受拉状态下最大裂缝宽度的计算方法,分析了墙体含钢率以及型钢、钢筋布置方式对裂缝宽度的影响。
范重+5 more
doaj
某网架因施工遗留问题和使用荷载的增大,导致结构存在质量安全隐患。系统地介绍了网架加固方案:受压杆件采用薄壁槽钢、薄壁矩形管或角钢作为外加约束单元的增大截面法进行加固,受拉杆件采用新增双拼槽钢的增大截面法进行加固,螺栓采用在原螺栓球节点上焊接鼓筒节点或增设高强对拉螺杆的方法进行加固。采用MST和NIDA软件进行了结构模型验证并使用直接分析法对网架进行承载力计算,并对压杆加固方案进行了精细化有限元分析,对比分析了加固杆件和未加固杆件的荷载-位移曲线和破坏模式。结果表明:压杆加固后,构件承载力提高了15 ...
彭敏+5 more
doaj
基于时间窗的告警事务集选取直接影响告警关联规则挖掘的有效性,同时,智能光网络告警的内在关联性使其具备一定的聚类关系,据此提出一种基于业务时间窗选取的告警聚类及关联方法。首先根据网络业务配置情况对多网元告警进行聚类,然后通过确定告警增长期进行时间窗划分,生成关联性更强的告警事务集,并进一步挖掘告警关联规则。该方法能够适应智能光网络多平面和多网元告警内在关联的特点,可有效压缩告警事务集,提高告警关联规则的准确度,为后续故障诊断提供支撑。最后运用实际网络数据验证了该方法的可行性和有效性。
杨剑, 蓝明超
doaj
[Fitness of onlays fabricated with direct and indirect CAD/CAM technology <i>in vitro</i>]. [PDF]
Qian K, Liu Y.
europepmc +1 more source
[Rapid identification and analysis of hemoglobin isoelectric focusing electrophoresis images based on deep learning]. [PDF]
Ji WC+6 more
europepmc +1 more source
[Determination of 18 polychlorinated biphenyls in milk by dispersive solid-phase extraction based on zeolitic- imidazolate-framework composite microspheres prior to gas chromatography-mass spectrometry]. [PDF]
Nie WD, Shuai SJ, Hu K, Cui XL, Li TF.
europepmc +1 more source
[Analysis of four brominated flame retardants in mineral water and instant-noodle-bowl samples by magnetic solid-phase extraction coupled with liquid chromatography using magnetic carbon aerogel as adsorbent]. [PDF]
Nie QR, Ni M, Xu JY, Shi Y, Jiang HM.
europepmc +1 more source
[SG-UNet: a melanoma segmentation model enhanced with global attention and self-calibrated convolution]. [PDF]
Ji H, Wang R, Gao S, Che W.
europepmc +1 more source
[AConvLSTM U-Net: a multi-scale jaw cyst segmentation model based on bidirectional dense connection and attention mechanism]. [PDF]
Li S, Wang Z, Chan S, Zhou X.
europepmc +1 more source
[Type 2 diabetes patients use E-health to manage disease willingness and influence mechanisms]. [PDF]
Chen Z, Zhang X, Gu Y, Chang C.
europepmc +1 more source