Structural shape monitoring plays a vital role in the structural health monitoring systems.The inverse finite element method(iFEM)has been demonstrated to be a practical method of deformation reconstruction owing to i...Structural shape monitoring plays a vital role in the structural health monitoring systems.The inverse finite element method(iFEM)has been demonstrated to be a practical method of deformation reconstruction owing to its unique advantages.Current iFEM formulations have been applied to small deformation of structures based on the small-displacement assumption of linear theory.However,this assumption may be inapplicable to some structures with large displacements in practical applications.Therefore,geometric nonlinearity needs to be considered.In this study,to expand the practical utility of iFEM for large displacement monitoring,we propose a nonlinear iFEM algorithm based on a four-node inverse quadrilateral shell element iQS4.Taking the advantage of an iterative iFEM algorithm,a nonlinear response is linearized to compute the geometrically nonlinear deformation reconstruction,like the basic concept of nonlinear FE analysis.Several examples are solved to verify the proposed approach.It is demonstrated that large displacements can be accurately estimated even if the in-situ sensor data includes different levels of randomly generated noise.It is proven that the nonlinear iFEM algorithm provides a more accurate displacement response as compared to the linear iFEM methodology for structures undergoing large displacement.Hence,the proposed approach can be utilized as a viable tool to effectively characterize geometrically nonlinear deformations of structures in real-time applications.展开更多
目的探讨IQSEC1是否通过病毒蛋白PB1调控甲型流感病毒的增殖。方法首先克隆甲型流感病毒[A/Shanghai/02/2013(H7N9)]的8个基因;其次,通过免疫共沉淀检测IQ模体Sec7结构域蛋白1(IQSEC1)与聚合酶PB1(PB1)存在相互作用;此外,通过过表达或...目的探讨IQSEC1是否通过病毒蛋白PB1调控甲型流感病毒的增殖。方法首先克隆甲型流感病毒[A/Shanghai/02/2013(H7N9)]的8个基因;其次,通过免疫共沉淀检测IQ模体Sec7结构域蛋白1(IQSEC1)与聚合酶PB1(PB1)存在相互作用;此外,通过过表达或者敲低IQSEC1的方法检测IQSEC1对PB1核定位的影响;最后,过表达或者敲低IQSEC1后检测Influenza A virus[A/Shanghai/02/2013(H7N9)]。结果病毒感染条件下,外源IQSEC1和PB1存在相互作用。当过表达IQSEC1时,细胞中IQSEC1的表达量上升,相应的PB1在细胞核中的定位减少;当用敲低IQSEC1时,细胞中IQSEC1的表达量下降,相应的PB1在细胞核中的定位上升。过表达IQSEC1后,甲型流感病毒的增殖水平下降(P<0.05)。敲低IQSEC1后,甲型流感病毒的增殖水平上升(P<0.05)。结论IQSEC1通过减少甲型流感病毒蛋白PB1的核定位抑制甲型流感病毒的增殖。展开更多
为提高零中频接收机中正交(in-phase quadrature,IQ)失配信号校正的收敛速度与鲁棒性,本文将Kalman滤波算法与盲源分离结构结合,提出了一种基于双通道Kalman滤波的校正算法。该算法通过状态空间建模与协方差自适应更新,能够在动态环境...为提高零中频接收机中正交(in-phase quadrature,IQ)失配信号校正的收敛速度与鲁棒性,本文将Kalman滤波算法与盲源分离结构结合,提出了一种基于双通道Kalman滤波的校正算法。该算法通过状态空间建模与协方差自适应更新,能够在动态环境下实现更高效、稳定的参数估计,从而实现对IQ失配信号的有效补偿。将本文算法与最小均方算法(least mean square,LMS)、归一化最小均方算法(normalized least mean square,NLMS)和仿射投影算法(affine projection algorithm,APA)进行对比仿真,结果显示,校正后信号的镜像抑制比(image rejection ratio,IRR)均达到约45 dB,但双通道Kalman滤波算法对应的IRR曲面图更加平滑,同时,16QAM和16PSK调制方式下该算法的误符号率最低,表明本文算法能够有效实现IQ失配校正,具有较好的稳定性。本文算法迭代约50次时,均方误差收敛趋近于0,而LMS、NLMS和APA算法则分别需要迭代约500次、400次和200次才能够收敛,表明该算法具有较好的收敛性。通过参数的敏感性仿真分析,在较大的参数范围内本文算法达到的IRR差别甚微,具有良好的鲁棒性。展开更多
基金supported by the NationalNatural Science Foundation of China(Grant No.11902253)the Fundamental Research Funds for the Central Universities of China.The authors are grateful for this support.
文摘Structural shape monitoring plays a vital role in the structural health monitoring systems.The inverse finite element method(iFEM)has been demonstrated to be a practical method of deformation reconstruction owing to its unique advantages.Current iFEM formulations have been applied to small deformation of structures based on the small-displacement assumption of linear theory.However,this assumption may be inapplicable to some structures with large displacements in practical applications.Therefore,geometric nonlinearity needs to be considered.In this study,to expand the practical utility of iFEM for large displacement monitoring,we propose a nonlinear iFEM algorithm based on a four-node inverse quadrilateral shell element iQS4.Taking the advantage of an iterative iFEM algorithm,a nonlinear response is linearized to compute the geometrically nonlinear deformation reconstruction,like the basic concept of nonlinear FE analysis.Several examples are solved to verify the proposed approach.It is demonstrated that large displacements can be accurately estimated even if the in-situ sensor data includes different levels of randomly generated noise.It is proven that the nonlinear iFEM algorithm provides a more accurate displacement response as compared to the linear iFEM methodology for structures undergoing large displacement.Hence,the proposed approach can be utilized as a viable tool to effectively characterize geometrically nonlinear deformations of structures in real-time applications.
文摘目的探讨IQSEC1是否通过病毒蛋白PB1调控甲型流感病毒的增殖。方法首先克隆甲型流感病毒[A/Shanghai/02/2013(H7N9)]的8个基因;其次,通过免疫共沉淀检测IQ模体Sec7结构域蛋白1(IQSEC1)与聚合酶PB1(PB1)存在相互作用;此外,通过过表达或者敲低IQSEC1的方法检测IQSEC1对PB1核定位的影响;最后,过表达或者敲低IQSEC1后检测Influenza A virus[A/Shanghai/02/2013(H7N9)]。结果病毒感染条件下,外源IQSEC1和PB1存在相互作用。当过表达IQSEC1时,细胞中IQSEC1的表达量上升,相应的PB1在细胞核中的定位减少;当用敲低IQSEC1时,细胞中IQSEC1的表达量下降,相应的PB1在细胞核中的定位上升。过表达IQSEC1后,甲型流感病毒的增殖水平下降(P<0.05)。敲低IQSEC1后,甲型流感病毒的增殖水平上升(P<0.05)。结论IQSEC1通过减少甲型流感病毒蛋白PB1的核定位抑制甲型流感病毒的增殖。
文摘为提高零中频接收机中正交(in-phase quadrature,IQ)失配信号校正的收敛速度与鲁棒性,本文将Kalman滤波算法与盲源分离结构结合,提出了一种基于双通道Kalman滤波的校正算法。该算法通过状态空间建模与协方差自适应更新,能够在动态环境下实现更高效、稳定的参数估计,从而实现对IQ失配信号的有效补偿。将本文算法与最小均方算法(least mean square,LMS)、归一化最小均方算法(normalized least mean square,NLMS)和仿射投影算法(affine projection algorithm,APA)进行对比仿真,结果显示,校正后信号的镜像抑制比(image rejection ratio,IRR)均达到约45 dB,但双通道Kalman滤波算法对应的IRR曲面图更加平滑,同时,16QAM和16PSK调制方式下该算法的误符号率最低,表明本文算法能够有效实现IQ失配校正,具有较好的稳定性。本文算法迭代约50次时,均方误差收敛趋近于0,而LMS、NLMS和APA算法则分别需要迭代约500次、400次和200次才能够收敛,表明该算法具有较好的收敛性。通过参数的敏感性仿真分析,在较大的参数范围内本文算法达到的IRR差别甚微,具有良好的鲁棒性。
