SDFPB在九层Benchmark钢框架中的隔震性能研究

为研究SMA-复摩擦摆支座(Shape Memory Alloys Double Friction Pendulum Bearing,SDFPB)在多、高层建筑结构中的隔震性能和安全性,基于OpenSees建立了SDFPB的有限元模型,分析了SDFPB力学性能影响因素,将其应用于九层Benchmark钢框架结构中,对比了隔震结构和非隔震结构的地震响应。研究表明,SDFPB隔震系统可以改善九层Benchmark钢框架动力特性,显著削弱上部结构在地震作用下的楼层加速度、层间位移角和层间剪力,有效控制隔震层位移,在多、高层建筑结构中可发挥良好隔震效果并提升安全性。

浅析数字化在汽车Benchmarking中的应用

竞争车解析对标是汽车Benchmarking的基础工作,现行业竞争车解析对标参数采集均依靠人工作业,工作效率低下。结合业务实践,文章研究了一套自动拍照、自动称重的数字化信息采集系统,通过软硬件结合实现竞争车解析对标参数采集、数据整理、数据传输等全链条业务自动化。该方法的运用可大幅提升整车Benchmarking工作效率,进而缩短产品开发周期,实现效率与效益双提升。

DiTing:A large-scale Chinese seismic benchmark dataset for artificial intelligence in seismology

In recent years,artificial intelligence technology has exhibited great potential in seismic signal recognition,setting off a new wave of research.Vast amounts of high-quality labeled data are required to develop and apply artificial intelligence in seismology research.In this study,based on the 2013–2020 seismic cataloging reports of the China Earthquake Networks Center,we constructed an artificial intelligence seismological training dataset(“DiTing”)with the largest known total time length.Data were recorded using broadband and short-period seismometers.The obtained dataset included 2,734,748 threecomponent waveform traces from 787,010 regional seismic events,the corresponding P-and S-phase arrival time labels,and 641,025 P-wave first-motion polarity labels.All waveforms were sampled at 50 Hz and cut to a time length of 180 s starting from a random number of seconds before the occurrence of an earthquake.Each three-component waveform contained a considerable amount of descriptive information,such as the epicentral distance,back azimuth,and signal-to-noise ratios.The magnitudes of seismic events,epicentral distance,signal-to-noise ratio of P-wave data,and signal-to-noise ratio of S-wave data ranged from 0 to 7.7,0 to 330 km,–0.05 to 5.31 dB,and–0.05 to 4.73 dB,respectively.The dataset compiled in this study can serve as a high-quality benchmark for machine learning model development and data-driven seismological research on earthquake detection,seismic phase picking,first-motion polarity determination,earthquake magnitude prediction,early warning systems,and strong ground-motion prediction.Such research will further promote the development and application of artificial intelligence in seismology.

On the transient models of the VITAS code:applications to the C5G7-TD pin-resolved benchmark problem

This article describes the transient models of the neutronics code VITAS that are used for solving time-dependent,pinresolved neutron transport equations.VITAS uses the stiffness confinement method(SCM)for temporal discretization to transform the transient equation into the corresponding transient eigenvalue problem(TEVP).To solve the pin-resolved TEVP,VITAS uses a heterogeneous variational nodal method(VNM).The spatial flux is approximated at each Cartesian node using finite elements in the x-y plane and orthogonal polynomials along the z-axis.Angular discretization utilizes the even-parity integral approach at the nodes and spherical harmonic expansions at the interfaces.To further lower the computational cost,a predictor–corrector quasi-static SCM(PCQ-SCM)was developed.Within the VNM framework,computational models for the adjoint neutron flux and kinetic parameters are presented.The direct-SCM and PCQ-SCM were implemented in VITAS and verified using the two-dimensional(2D)and three-dimensional(3D)exercises on the OECD/NEA C5G7-TD benchmark.In the 2D and 3D problems,the discrepancy between the direct-SCM solver’s results and those reported by MPACT and PANDAS-MOC was under 0.97%and 1.57%,respectively.In addition,numerical studies comparing the PCQ-SCM solver to the direct-SCM solver demonstrated that the PCQ-SCM enabled substantially larger time steps,thereby reducing the computational cost 100-fold,without compromising numerical accuracy.

Benchmark Dose Assessment for Coke Oven Emissions-Induced Mitochondrial DNA Copy Number Damage Effects

Objective The study aimed to estimate the benchmark dose(BMD)of coke oven emissions(COEs)exposure based on mitochondrial damage with the mitochondrial DNA copy number(mtDNAcn)as a biomarker.Methods A total of 782 subjects were recruited,including 238 controls and 544 exposed workers.The mtDNAcn of peripheral leukocytes was detected through the real-time fluorescence-based quantitative polymerase chain reaction.Three BMD approaches were used to calculate the BMD of COEs exposure based on the mitochondrial damage and its 95%confidence lower limit(BMDL).Results The mtDNAcn of the exposure group was lower than that of the control group(0.60±0.29 vs.1.03±0.31;P<0.001).A dose-response relationship was shown between the mtDNAcn damage and COEs.Using the Benchmark Dose Software,the occupational exposure limits(OELs)for COEs exposure in males was 0.00190 mg/m^(3).The OELs for COEs exposure using the BBMD were 0.00170 mg/m^(3)for the total population,0.00158 mg/m^(3)for males,and 0.00174 mg/m^(3)for females.In possible risk obtained from animal studies(PROAST),the OELs of the total population,males,and females were 0.00184,0.00178,and 0.00192 mg/m^(3),respectively.Conclusion Based on our conservative estimate,the BMDL of mitochondrial damage caused by COEs is0.002 mg/m^(3).This value will provide a benchmark for determining possible OELs.

Benchmarking calculations of excitation energies and transition properties with spectroscopic accuracy of highly charged ions used for the fusion plasma and astrophysical plasma

Atomic radiative data such as excitation energies, transition wavelengths, radiative rates, and level lifetimes with high precision are the essential parameters for the abundance analysis, simulation, and diagnostics in fusion and astrophysical plasmas. In this work, we mainly focus on reviewing our two projects performed in the past decade. One is about the ions with Z■30 that are generally of astrophysical interest, and the other one is about the highly charged krypton(Z = 36)and tungsten(Z = 74) ions that are relevant in research of magnetic confinement fusion. Two different and independent methods, namely, multiconfiguration Dirac–Hartree–Fock(MCDHF) and the relativistic many-body perturbation theory(RMBPT) are usually used in our studies. As a complement/extension to our previous works for highly charged tungsten ions with open M-shell and open N-shell, we also mainly focus on presenting and discussing our complete RMBPT and MCDHF calculations for the excitation energies, wavelengths, electric dipole(E1), magnetic dipole(M1), electric quadrupole(E2), and magnetic quadrupole(M2) transition properties, and level lifetimes for the lowest 148 levels belonging to the 3l3configurations in Al-like W61+. We also summarize the uncertainties of our systematical theoretical calculations, by cross-checking/validating our datasets from our RMBPT and MCDHF calculations, and by detailed comparisons with available accurate observations and other theoretical calculations. The data are openly available in Science Data Bank at https://doi.org/10.57760/sciencedb.10569.

Second-Order MaxEnt Predictive Modelling Methodology. III: Illustrative Application to a Reactor Physics Benchmark

This work illustrates the innovative results obtained by applying the recently developed the 2nd-order predictive modeling methodology called “2nd- BERRU-PM”, where the acronym BERRU denotes “best-estimate results with reduced uncertainties” and “PM” denotes “predictive modeling.” The physical system selected for this illustrative application is a polyethylene-reflected plutonium (acronym: PERP) OECD/NEA reactor physics benchmark. This benchmark is modeled using the neutron transport Boltzmann equation (involving 21,976 uncertain parameters), the solution of which is representative of “large-scale computations.” The results obtained in this work confirm the fact that the 2nd-BERRU-PM methodology predicts best-estimate results that fall in between the corresponding computed and measured values, while reducing the predicted standard deviations of the predicted results to values smaller than either the experimentally measured or the computed values of the respective standard deviations. The obtained results also indicate that 2nd-order response sensitivities must always be included to quantify the need for including (or not) the 3rd- and/or 4th-order sensitivities. When the parameters are known with high precision, the contributions of the higher-order sensitivities diminish with increasing order, so that the inclusion of the 1st- and 2nd-order sensitivities may suffice for obtaining accurate predicted best- estimate response values and best-estimate standard deviations. On the other hand, when the parameters’ standard deviations are sufficiently large to approach (or be outside of) the radius of convergence of the multivariate Taylor-series which represents the response in the phase-space of model parameters, the contributions stemming from the 3rd- and even 4th-order sensitivities are necessary to ensure consistency between the computed and measured response. In such cases, the use of only the 1st-order sensitivities erroneously indicates that the computed results are inconsistent with the respective measured response. Ongoing research aims at extending the 2nd-BERRU-PM methodology to fourth-order, thus enabling the computation of third-order response correlations (skewness) and fourth-order response correlations (kurtosis).

铝合金板冲压成形Benchmark试验与有限元仿真

采用NUMISHEET2002会议提出的杯形件拉深Benchmark试验方案,在不同压边力工况下,对铝合金板6111-T4的拉深性能、各向异性行为、起皱缺陷进行了试验研究。研究表明:各向异性系数小并未对铝合金板的成形性能产生较大影响,通过增大压边力能有效解决起皱问题,铝合金板6111-T4具有良好的冲压成形性能。基于自主研发的冲压成形CAE软件KMAS平台,对Benchmark试验进行了仿真验证,与试验结果对比表明:KMAS软件采用的Barlat-Lian各向异性屈服准则和动力半显式算法能够准确模拟铝合金板的冲压成形。

Benchmark模型结构两阶段损伤诊断试验分析

提出了一种基于结构振动特性的两阶段损伤诊断方法,以国际结构控制协会与美国土木工程学会(IASC-ASCE)提出的健康监测Benchmark模型结构为例,对其在力锤脉冲激励和环境激励下的试验数据进行分析,对不同的损伤模式进行了损伤定位和损伤程度的估计。结果表明,在模型误差、测量噪声、质量与刚度分布不确定性等因素的影响下,该两阶段损伤诊断方法能够取得令人满意的损伤识别结果。

基于Benchmark模型的抑制屈曲支撑耗能减振作用分析

抑制屈曲支撑可在拉压循环荷载作用下均达到屈服,拉压承载力基本一致,滞回曲线稳定饱满,耗能能力强。基于Benchmark模型对安装抑制屈曲支撑的钢框架结构基于ANSYS的数值分析表明,抑制屈曲支撑不仅可使结构在小震时的抗侧刚度有所提高,同时在大震时通过其往复滞回变形发挥耗能减振作用,大大地降低了结构的地震响应,提高了结构的抗震性能。同时分析表明考虑高阶振型影响的能力谱分析方法是一种更为精确的分析方法。

超高层建筑结构benchmark模型及其地震反应分析

参照上海中心,根据设定的性能目标设计了一个超高层建筑结构的benchmark模型用于超高层建筑结构抗震研究。该结构总高度为606.1 m,抗震设防烈度为7度,场地类别为IV类,设计分组为第一组。该结构采用巨型框架-核心筒-伸臂桁架钢-混凝土混合结构体系,8道环带桁架将结构分为9个区,环带桁架与型钢混凝土巨柱共同构成了巨型框架结构体系,并通过6道伸臂桁架与核心筒相连,共同承受水平荷载。利用PERFORM-3D软件建立了结构的非线性数值计算模型,对结构进行了弹塑性地震反应分析,验证了结构的抗震性能。计算结果表明,满足现行设计规范的该超高层结构在大震作用下具有较大的安全余量。

基于特征灵敏度的Benchmark结构损伤诊断

为准确地评估结构的健康状况,提出了一种两阶段损伤诊断方法.引入柔度差值斜率的概念确定结构可能出现损伤单元的位置,采用基于二阶特征灵敏度的方法确定可能损伤单元的损伤程度.应用该方法对由国际结构控制协会与美国土木工程学会(IASC-ASCE)提出的健康监测Benchmark结构进行了分析.结果表明,两阶段损伤诊断方法能够准确地定出可能损伤单元的位置与损伤程度,识别结果与真实的损伤接近,说明该诊断方法是有效的.

基于ANSYS软件benchmark模型耗能减振控制分析

本文系统介绍了当前国际结构振动控制的公共平台———Benchm ark模型,首次给出使用通用有限元软件ANSYS对第3阶段20层非线性钢框架抗震结构的有限元建模,结果表明,模态、无控地震反应分析结果和ASCE给出的MATLAB结果相同。利用粘滞阻尼器对此模型的耗能减振数值仿真分析的结果表明:粘滞阻尼器是一种性能很好的阻尼器,使用本文给出ANSYS的Benchm ark有限元模型来进行耗能减振控制分析是方便的、可行的。

基于小波包分析的Benchmark结构损伤预警试验研究

在基于小波包能量谱的结构损伤预警方法基础上,开展了Benchmark结构损伤预警的试验研究。通过Benchmark试验模型模拟结构的多种损伤状态,并采集模型在结构损伤前后的动力响应,在此基础上计算了结构损伤预警的小波包能量谱及其损伤预警指标。试验结果表明:基于小波包能量谱的结构损伤预警指标具有良好的损伤预警能力,可以准确地判定结构初期损伤的发生。

Benchmarking技术在汽车开发领域中的应用

介绍了Benchmarking技术的概念;综合国内外汽车发展的历史和现状,针对我国汽车开发经验、知识积累不足问题,引入了Benchmarking技术的样车分析技术体系,细化了样车Benchmarking的流程,说明了Benchmarking技术的应用过程。最后介绍了目前Benchmarking技术在汽车开发知识库系统中的应用现状。

基于健康监测Benchmark结构的损伤识别方法

研究目的:由于受外部载荷、环境作用、灾害、人为等因素的影响,桥梁结构在服役期间会出现损伤,结构性能下降,其安全性己经引起人们的高度重视。如何去诊断桥梁结构的损伤,对其健康状况进行诊断和监测,己成为当今函待解决的一个重要课题。研究结论:针对桥梁健康监测Benchmark结构,基于加速度响应的自功率谱与主元分析法并结合马氏距离,提出结构整体损伤程度的评估方法:(1)提出的桥梁健康监测Benchmark结构损伤诊断方法可直接利用实测自功率谱进行损伤识别,不需要模态参数,不要求有完整的模态测试数据,因而避开了实际动测时一些模态参数的测不准及实测模态不完整问题;(2)损伤识别过程是通过分析实测自功率谱的数据特征、数据结构来完成的,不需建立结构的力学模型,因而对结构形式、约束方式及边界条件均没有特殊的要求;(3)采用力锤人工激励及SISO的动测方法,激励设备简单,操作方便;(4)本文方法对于在役桥梁的健康监测和损伤诊断具有一定参考价值。

环境激励下Benchmark结构损伤识别的试验研究

针对结构健康监测中如何利用在线监测数据进行健康诊断的问题,基于时间序列分析提出了一种新的损伤识别方法。首先,获得结构健康状态的监测数据作为参考状态样本,对各数据样本建立ARMA模型并计算模型残差的方差。然后,将未知状态的监测数据作为待检状态样本,代入已建立的参考状态ARMA模型计算新的残差方差。计算发现,损伤前后两状态模型残差方差存在差异。因而,提出以残差方差之比作为损伤敏感特征,并建立基于F分布的假设检验来辨识结构的状态并预警损伤。最后,以Benchmark结构在环境激励下的试验为例,运用本文方法进行了损伤识别研究。结果表明,基于ARMA模型残差方差的损伤敏感特征可准确地区别结构的健康状态和损伤状态,具备结构在线实时损伤识别的应用价值。

中国古建筑木结构健康监测Benchmark平台

结构健康监测方法已被引入中国古建筑木结构领域,用以实现古建木构的“预防性”保护,但上述过程仍处于起步阶段,亟需一个能够为不同健康监测方法的验证、比较和评估提供条件的平台。该文建立了包含实验室物理模型、有限元模型、平台试验和配套网站4个模块的中国古建筑木结构健康监测Benchmark平台。平台首先综合其他领域健康监测Benchmark平台优势和古建木构自身特征,以既有古建为原型进行简化得到实验室物理模型,并给出构件尺寸、用材材性、监测设备选取和损伤设计等信息。其次,使用有限元分析软件ABAQUS分别建立能够提取静力和动力信号的有限元模型,以作为实验室物理模型的补充。进而,对成型平台进行动态监测试验,通过试验结果和有限元结果对比证明本平台能够为不同的健康监测方法的分析、比较和评估提供条件,并缩小理论研究和实际应用之间的差距。同时,证明目前其他领域常用的模态分析流程同样适用于古建木构领域。最后,建立包含8个模块的网站,对上述信息进行公开,以方便后续研究人员调用。

One to One营销优化算法的BenchMark验证方法

该文针对OnetoOne营销优化问题,提出了一种BenchMark验证方法。基于这一BenchMark验证方法,对原始Simplex法、DFS法和LIPSOL法进行了基于理论的BenchMark验证和基于MATLAB的BenchMark验证,给出了仿真结论,证明了提出的BenchMark验证方法的有效性。

地震激励下斜拉桥振动控制Benchmark模型研究

为了在地震波激励下对大跨桥梁结构建立一套振动控制系统评价体系,比较不同控制策略的控制效果,将艾默生纪念桥(Emerson Memorial Bridge)作为斜拉桥振动控制的Benchmark模型,用以研究地震激励下斜拉桥振动控制所采取的各种控制算法和装置的有效性。系统总结十余年来各国学者在该研究中涉及到的各种传统控制算法以及智能算法,阐述了该桥被动控制、主动控制、半主动控制、混合控制的应用情况,对未来的研究趋势进行展望。以艾默生纪念桥为例,选取新型主动EMD阻尼器作为控制装置,实施基于模糊推理的智能控制。将EMD装置的速度作为模糊控制器输入,制定模糊规则,快速、有效地确定EMD装置输出电压,从而对该桥在线实时控制。数值仿真结果表明:18项控制指标接近于样本控制,尤其对基础处剪力、倾覆力矩以及桥塔处拉索的减振控制效果明显。