Parameters Sensitivity Analysis and Correction for Concrete Damage Plastic Model

In order to understand the effect of hardening ductility parameters and softening ductility parameters of the concrete damage plastic model in LS-DYNA,a sensitivity and reliability analysis of these parameters through a convenient cube unit test was conducted. The results showed that the peak strength strain was independent of the hardening ductility parameter DH,but affected by AH,BH,and CH. The softening ductility was mainly related to the softening ductility parameter AS,but not affected by the damage ductility exponent BS. In case that the model with default parameters failed to match the AS-controlled damage softening phase,an optimized model with an AS correction was developed. The corrected model with the AS value of 2 matched well with the code model,and exhibited good feasibility in predicting the stress-strain curve of different grades of concrete. Moreover,the practicability of the corrected model was further validated by the conventional triaxial test. The simulated curve exhibited favorable consistence with the trial curve. Therefore,the model with parameter correction could provide a prospective reference for predicting the mechanical properties of concrete.

Restoring force correction based on online discrete tangent stiffness estimation method for real-time hybrid simulation

In real-time hybrid simulation（RTHS）, it is difficult if not impossible to completely erase the error in restoring force due to actuator response delay using existing displacement-based compensation methods. This paper proposes a new force correction method based on online discrete tangent stiffness estimation（online DTSE） to provide accurate online estimation of the instantaneous stiffness of the physical substructure. Following the discrete curve parameter recognition theory, the online DTSE method estimates the instantaneous stiffness mainly through adaptively building a fuzzy segment with the latest measurements, constructing several strict bounding lines of the segment and calculating the slope of the strict bounding lines, which significantly improves the calculation efficiency and accuracy for the instantaneous stiffness estimation. The results of both computational simulation and real-time hybrid simulation show that：（1） the online DTSE method has high calculation efficiency, of which the relatively short computation time will not interrupt RTHS; and（2） the online DTSE method provides better estimation for the instantaneous stiffness, compared with other existing estimation methods. Due to the quick and accurate estimation of instantaneous stiffness, the online DTSE method therefore provides a promising technique to correct restoring forces in RTHS.

Finite Control Set Model Predictive Control with Feedback Correction for Power Converters

As an open-loop model predictive control algorithm,finite control set model predictive control(FCS-MPC)scheme in power converter system is based on assumption that responses of optimal control implemented on prediction model agree well with actual system.The influence of model parameter mismatches and environment disturbance on control performance of scheme is neglected.Then,based on feedback correction strategy in traditional model predictive control algorithm,we derive a finite control set model predictive control with feedback correction scheme(FCS-MPCFC)that allows us to adjust prediction model output at current instant by model prediction error at previous instant,and the closed-loop correction of prediction model output is achieved.Simulations comparison analyses on a two-level three-phase inverter with multi-type model parameter mismatches controlled by traditional and improved FCS-MPC scheme are presented.Experiments are carried out on DSP controller platform.

Investigations of spectroscopic parameters and molecular constants for X^1Σ_g^+, w^3△_u, and W^1△_u electronic states of P_2 molecule

The potential energy curves （PECs） of three low-lying electronic states （X1 ∑g^＋, w^3 △u, and W1 △u） of P2 molecule are investigated using the full valence complete active space self-consistent field （CASSCF） method followed by the highly accurate valence internally contracted multireference configuration interaction （MRCI） approach in conjunction with the correlation-consistent basis set in the valence range. The PECs of the electronic states involved are modified by the Davidson correction and extrapolated to the complete basis set （CBS） limit. With these PECs, the spectroscopic parameters of the three electronic states are determined and compared in detail with the experimental data. The comparison shows that excellent agreement exists between the present results and the available experimental data. The complete vibrational states are computed for the W3Au and WlAu electronic states when the rotational quantum number J equals zero and the vibrational level G（v）, the inertial rotation constant By, and the centrifugal distortion constant Dv of the first 30 vibrational states are reported, which accord well with the experimental data. The present results show that the two-point extrapolation scheme can obviously improve the quality of spectroscopic parameters and molecular constants.

Local Influence on the Error-Correction Variable in a Cointegrated System

The concept of cointegration describes an equilibrium relationship among a set of time-varying variables, and the cointegrated relationship can be represented through an error-correction model (ECM). The error-correction variable, which represents the short-run discrepancy from the equilibrium state in a cointegrated system, plays an important role in the ECM. It is natural to ask how the error-correction mechanism works, or equivalently, how the short-run discrepancy affects the development of the cointegrated system? This paper examines the effect or local influence on the error-correction variable in an error-correction model. Following the argument of the second-order approach to local influence suggested by reference [5], we develop a diagnostic statistic to examine the local influence on the estimation of the parameter associated with the error-correction variable in an ECM. An empirical example is presented to illustrate the application of the proposed diagnostic. We find that the short-run discre pancy may have strong influence on the estimation of the parameter associated with the error-correction model. It is the error-correction variable that the short-run discrepancies can be incorporated through the error-correction mechanism.

Molecular Simulation of Critical Parameters of Nano-Confined n-Alkanes

TraPPE force field combined with grand-canonical transition-matrix Monte Carlo simulation were used to investigate the vapor-liquid coexistence curve and critical properties of methane,ethane,propane,and n-butane in slit pores ranging from 6?to 40?.Long range correction for intermolecular potential in slit pore model was developed,and the fact indicating that its influence on various thermodynamic properties is not negligible was found.The simulation results show that the thermodynamic properties of nano-confined alkanes shift tremendously from the bulk state.The critical temperature under confinement experiences a roughly linear decrease with an inverse in the slit width,while the critical pressure and the critical density have a relative increment related with carbon number on both the large slit width region and the small slit width region.Further analysis on z-density profiles of alkanes revealed that the complex behaviors of shift in critical parameters are the results of interplay between fluid-fluid and fluid-wall interaction.

Correction of Time-varying PMU Phase Angle Deviation with Unknown Transmission Line Parameters

Phasor measurement units(PMUs)provide useful data for real-time monitoring of the smart grid.However,there may be time-varying deviation in phase angle differences(PADs)between both ends of the transmission line(TL),which may deteriorate application performance based on PMUs.To address that,this paper proposes two robust methods of correcting time-varying PAD deviation with unknown parameters of TL(ParTL).First,the phenomena of time-varying PAD deviation observed from field PMU data are presented.Two general formulations for PAD estimation are then established.To simplify the formulations,estimation of PADs is converted into the optimal problem with a single ParTL as the variable,yielding a linear estimation of PADs.The latter is used by second-order Taylor series expansion to estimate PADs accurately.To reduce the impact of possible abnormal amplitude data in field data,the IGG(Institute of Geodesy&Geophysics,Chinese Academy of Sciences)weighting function is adopted.Results using both simulated and field data verify the effectiveness and robustness of the proposed methods.

球型钢丝绳隔振器非对称迟滞模型

针对球型钢丝绳隔振器的非线性刚度和阻尼特性导致迟滞模型表征困难的问题,提出了非线性弹性因子和修正因子改进的归一化Bouc-Wen迟滞模型,结合Simulink仿真完善改进的迟滞模型,采用最小二乘法和遗传算法相结合的方法对改进模型进行参数识别。通过数值仿真绘制GGQ25-62L型球型钢丝绳隔振器在不同工况的迟滞环,并和实验数据进行对比。结果表明,参数识别方法准确可靠,实验数据和理论计算曲线具有较强的一致性,该模型能够有效地描述隔振器的动态特性。

基于贝叶斯攻击图的油气生产物联网系统风险评估

针对油气生产物联网系统动态风险评估问题,提出一种基于贝叶斯攻击图的油气生产物联网系统风险评估模型。首先通过对系统进行风险分析,得到入侵证据及系统漏洞,结合入侵证据和漏洞利用成功概率,采用EM算法对训练数据进行数据补全并动态更新贝叶斯攻击图的条件概率参数表,通过条件概率表可计算得出先验概率,结合入侵证据计算得到节点的后验概率,进而得到系统的风险值,考虑资源利用的相关性对风险值进行最终修正。仿真结果分析证明了该模型的有效性和准确性。

考虑碾压参数影响的压实质量连续检测结果修正研究

为降低压路机行驶速度、行驶方向、振动频率等碾压参数引起的压实质量连续检测结果CMV误差,以动态变形模量E_(vd)为修正目标,基于极限梯度提升XGBoost算法和多元线性回归方法分别建立CMV修正模型,对比修正模型的适用性,并分析各碾压参数对CMV误差的影响。研究表明,XGBoost修正结果与E_(vd)的相关系数高达0.8且误差仅为1.7%,而多元线性回归修正结果与E_(vd)的相关系数仅为0.65且误差高达9.2%,XGBoost修正模型更适用于降低由碾压参数引起的CMV检测误差。高速行驶会造成CMV存在显著的负误差,行驶方向的不同使CMV产生大小相当但正负相反的误差,振动频率对CMV误差的影响是非线性的且与频率的取值有关。最后根据现场压实检测数据的修正结果验证了XGBoost修正模型对降低CMV检测误差的可靠性。

基于遥测姿态变换的外测数据跟踪部位修正方法

外测数据跟踪部位修正对于飞行器飞行试验的高精度轨迹参数获取有着重要意义.提出一种基于飞行器遥测姿态数据和粗略轨迹参数的跟踪部位修正新方法,利用遥测姿态数据确定惯导平台中心与跟踪部位轨迹参数的变换关系,进而由粗略轨迹参数推算惯导平台中心与跟踪部位测距、径向速度、方位角和俯仰角的差异值,实现跟踪部位修正量的准确计算.采用误差传播法对粗略轨迹误差影响下的跟踪部位修正精度进行理论分析,验证了该修正方法在实际应用中的有效性.进一步通过仿真实验和实装实验检验了修正精度.结果表明跟踪部位修正量的计算误差远小于外测系统的精度指标要求,有重要的实际应用价值.

考虑骨料类型的沥青混合料疲劳预估模型

为了更准确预测不同骨料类型沥青混合料的疲劳性能,本研究基于JTG D50—2017《公路沥青路面设计规范》中的疲劳预估模型(JTG模型)进行了深入探讨。采用均匀试验设计法,对AC-16C型沥青混合料进行了四点弯曲小梁疲劳试验。通过67组玄武岩、石灰岩和花岗岩沥青混合料的疲劳数据,对JTG模型参数进行了修正。研究发现:(1)简化的JTG模型适用于沥青混合料疲劳寿命预估,不同骨料类型对模型参数a的取值有影响;(2)玄武岩沥青混合料疲劳寿命最长,石灰岩最短,花岗岩居中;(3)修正后的JTG模型与实际疲劳试验数据高度吻合。本研究为沥青混合料的疲劳性能提供了更为精确的预估模型。

光谱技术结合水分校正与样本增广的棉田土壤盐分精准反演

棉田土壤盐分的精准反演对于棉花的种植管理具有重要意义。水分和盐分作为主要环境因素,共同影响棉田土壤的波谱特征,两者之间的耦合关系直接影响土壤盐分的检测分析。为了提高基于光谱技术构建的模型对棉田土壤盐分信息解析的准确性与可靠性,该研究联用可见/短波近红外(400~1 000 nm)和长波近红外(960~1 693 nm)技术,采集不同含水率与含盐量的新疆地区土壤样本的光谱;结合外部参数正交法(external parameter orthogonalization,EPO),校正不同标样集与不同波段光谱中的土壤含水率干扰信息;引入基于不同卷积步幅的深度卷积对抗网络(deep convolutional generative adversarial networks,DCGAN),进行样本增广与质量评估;参考三层残差神经网络设计一维卷积神经网络RNet,最终构建基于EPO-DCGAN-RNet的优化模型,用于棉田土壤盐分的反演。结果表明,与传统机器学习方法和基于VGG或EfficientNet结构一维卷积神经网络相比,该研究提出的EPO-DCGAN-RNet方法能够有效地滤除水分对盐分反演的影响、提高模型对特征波段的挖掘能力、降低深度学习算法对样本量的依赖性,并能得到更优的模型预测性能。EPO-DCGAN-RNet的建模集R^(2)和均方根误差分别为0.942、115.420μS/cm,验证集R^(2)和均方根误差分别为0.910和136.472μS/cm。研究结果可为新疆棉田土壤盐分快速精准检测提供理论指导和技术支持,有助于促进盐碱地区棉花种植的水肥科学管理。

基于有功分数阶微分校正的储能VSG并网有功响应策略

为了解决在有功功率指令、电网频率2种扰动情况下储能虚拟同步机(VSG)并网有功难以兼顾良好的动态特性和稳态性能的问题,提出了一种基于有功分数阶微分校正的VSG(AFDC-VSG)并网有功响应优化控制策略。分别建立典型VSG、AFDC-VSG这2种控制策略的并网有功闭环小信号模型,并给出相应的参数设计过程。利用MATLAB/Simulink仿真软件对比分析不同控制策略在2种扰动下储能VSG的并网有功响应特性,并建立储能VSG并网系统的实验平台。仿真和实验结果共同验证了所提AFDC-VSG策略在优化储能VSG并网有功响应性能方面的有效性与优越性。

融合音素的缅甸语语音识别文本纠错

缅甸语语音识别文本中包含大量的同音和空格错误,使用通用的文本语义信息纠正错误字符,对缅甸语空格和同音错误定位和纠正不准确。考虑到缅甸语是一种声调语言,并且音素中包含了声调信息,因此提出融合音素的缅甸语语音识别文本纠错方法。通过参数共享策略对转录文本及其音素进行联合建模,利用音素信息辅助检测并纠正缅甸语同音和空格错误。实验结果表明,本文所提方法相比基线方法ConvSeq2Seq,在缅甸语语音识别纠错任务中的F1值提升了85.97%,达到了79.15%。

基于参数修正的交叉互联电缆单相故障测距方法

由于实际线路参数易受环境影响,基于暂态信息进行参数辨识的故障测距方法的计算结果可能无法代表真实线路参数,因此提出了基于参数修正的电缆故障测距方法。以交叉互联电缆为例,根据线芯与护层间电气耦合关系,建立了基于双π参数模型的电缆单相接地故障测距方程。基于模拟退火算法,利用电缆正常运行状态下的电气信息修正电缆线路参数。应用布谷鸟算法求解所建立的故障测距方程得到故障位置。基于PSCAD/EMTDC仿真软件搭建了电缆故障模型,分析了故障距离、过渡电阻、线路参数变化因素对所提方法的影响。仿真分析结果表明,所提方法在不同因素的影响下,均具有较高的准确度,对交叉互联电缆进行故障测距有一定的参考意义。

抗寄生参数变动的无电流采样图腾柱PFC控制

针对无电流采样图腾柱功率因数校正(PFC)采用占空比直接计算受寄生参数变动影响导致输入电流畸变的问题,此处提出一种抗寄生参数变动的无电流采样控制策略。首先分析图腾柱PFC的工作原理,建立开关平均等效模型,由此推导包含寄生参数的占空比表达式;然后分析输入电流与输出低频纹波电压之间的关系,通过控制低频纹波角频率与移相角来改善输入电流波形;最后搭建样机完成稳态和瞬态测试。在额定功率为1 000 W时,实现400V的恒压输出和0.998的功率因数,变换器效率可达98.35%。

面齿轮车齿加工偏差分析及比例修正方法研究

基于车齿刀与面齿轮车齿加工的数理模型,将插齿加工作为理论齿面,建立了车齿加工的齿面偏差模型;采用增量方式,分析了车齿加工参数(偏置距、切深、轴交角、滚比)对齿面精度的影响规律,给出了面齿轮齿面偏差比例修正方法。车齿加工齿面偏差主要集中在4个顶点位置,齿面偏差对滚比修正最为敏感,对偏置距不敏感。采用3参数偏差敏感性矩阵,确定了齿面偏差与加工参数之间的比例关系。通过两次试切,实现了齿面偏差的修正,验证了比例修正方法的可行性。

基于直方图间隙特征的伽马校正参数估计

本文分析了经过伽马校正图像的直方图间隙分布特征和在此基础上进行伽马逆变换后直方图的零值特征,并应用逆变换后直方图的零值特征对篡改图像进行精确参数估计。具体来说,首先根据原始图像直方图零间隙的特征判断图像是否经过伽马校正,然后比较直方图两端零值的数量大小来判断参数所在区间,最后通过逆变换后直方图零值特征对待估计参数进行精确估计。实验结果表明,所提出的方法不仅在参数估计准确率方面优于现有方法,且在变换前为不同质量因子的JPEG图像上同样具有较好鲁棒性。