共查询到19条相似文献，搜索用时 140 毫秒
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离线模型更新混合试验对构件拟静力数据进行恢复力模型参数识别,并更新数值子结构中相应构件的模型参数来提高混合试验精度,但该方法尚缺少真实试验的验证。本文基于课题组开展的足尺RC柱拟静力试验,取恢复力模型为集中塑性铰Ibarra-Medina-Krawinkler（IMK）模型,进行框架结构离线模型更新混合试验研究。结果表明,当物理子结构取为RC足尺柱时,离线模型更新混合试验能获得接近于真实试验情况下结构的地震响应,从而对该方法的有效性进行了试验验证。利用IMK经验公式,将真实试验模型参数识别值按轴压比进行对照修正,应用于不同层数的框架结构地震响应模拟,实现了试验数据的重复利用。 相似文献
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恢复力模型研究现状及存在问题 总被引：7，自引：0，他引：7
恢复力模型是根据大量从试验中获得的恢复力与变形的关系曲线经适当抽象和简化而得到的实用数学模型，是结构构件的抗震性能在结构弹塑性地震反应分析中的具体体现。对迄今为止国内外关于钢筋、混凝土和钢筋混凝土结构构件的恢复力模型的研究成果进行了汇总和简要评述，分析了现有恢复力模型存在的主要问题，在此基础上提出恢复力模型今后的研究建议。 相似文献
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本文简要评述了现有钢筋混凝土结构地震损伤分析的途径、方法及其合理应用。根据构件的滞回恢复力骨架曲线及卸载刚度退化规律,本文构造一个与构件地震损伤相关的能量参数,并据此提出一种构件地震损伤模型,该模型不显含组合系数α及β,计算较为简便。最后,根据Park and Ang模型导出构件滞回恢复力模型中反向加载曲线的超前指向距离,使构件的滞回恢复力变化描述与构件的地震损伤演化描述具有一致性。 相似文献
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进行了四个高含钢率钢骨混凝土柱的拟静力试验,试验结果表明其抗震性能接近钢结构构件:具有承载力高、延性大、滞回曲线饱满等特点。在此基础上,分析了此种结构的滞回特征,构建了基于水平力和侧移关系的高含钢率钢骨混凝土柱的恢复力模型,给出了参数确定方法。与试验曲线进行对比,两者形态接近,关键参数吻合良好。 相似文献
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压弯构件在主余震作用下的累积损伤试验研究 总被引：1，自引：2，他引：1
本文对相似比为１：４的三组钢筋混凝土压弯构件模型先后进行了振动台主余震模拟试验和周期性震静力试验，通过试验研究了钢筋混凝土压弯构件在主余震作用下反应与损伤特性，并首次探讨了有损伤压弯构件恢复力模型的特点，在此基础上给出了建立前损伤压弯构件恢复力骨架曲线的一般方法，从而为结构在主余震作用下的随机地震反应分析和有损伤结构的抗震加固奠定了基础。 相似文献
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辽河坳陷中央凸起中南部基底变质岩类型多样，测井岩石物理参数与岩性之间的映射关系复杂，测井响应多解性强，导致传统的测井岩性识别方法结果不精确.本文采用基于自适应粒子群参数优化的最小二乘支持向量机算法进行变质岩的测井多参数岩性识别.通过变质岩测井岩石物理分析，优选出对岩性敏感的自然伽马、自然电位、声波时差、深侧向电阻率、密度和补偿中子6种测井参数作为特征输入，以自适应粒子群算法优化最小二乘支持向量机参数，构建岩性判别模型，预测目的层段变粒岩、混合花岗岩、混合片麻岩、混合岩和角闪岩5种类型变质岩的垂向分布.与支持向量机、K最邻近及人工神经网络算法的岩性识别效果相比，本方法判别准确率最高，符合率为90.17%,在随机划分的10次样本预测中本模型稳定性最强，分类性能最好，平均AUC值为0.974,有效解决了深层基底变质岩储层精细描述中的岩性精准识别难题. 相似文献
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圆钢管混凝土构件弯矩-曲率滞回特性研究 总被引：8，自引：3，他引：5
首先确定了往复应力作用下组成圆钢管混凝土的钢材和核心混凝土的应力－应变关系模型、在此基础上,利用数值计算方法,对圆钢管混凝土构件弯矩－曲率滞回关系曲线进行了理论分析,其结果和试验结果吻合良好。最后,提出圆钢管混凝土构件弯矩－风率恢复力模型,给出模型中有关参数的计算公式,可为圆钢管混凝土体系弹塑性分析提供参考。 相似文献
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基于振动台试验的RC框架模型修正及模拟损伤识别 总被引：1，自引：0，他引：1
利用有限元模型修正技术综合利用理论建模和实验建模的优点,可以得到更加符合结构实际的基准模型,为结构动力分析、损伤诊断及健康监测提供更可靠的依据。基于一12层钢筋混凝土框架模型振动台试验测点加速度记录,采用特征系统实现算法对该模型结构进行模态参数识别,识别结果与有限元分析结果之间存在明显的差异。采用基于灵敏度分析的参数型有限元模型修正技术,选择识别精度较高的实测模态频率为修正基准,以构件的弹性模量和密度为修正参数,对该框架的初始有限元模型进行了修正,得到基准有限元模型。进一步以基准有限元模型为标准,以构件弹性模量的降低模拟结构的损伤,对两种假设工况下的损伤结构进行修正,得到构件弹性模量的变化值并与假设的降低值对比,验证了有限元模型修正技术在结构损伤识别中应用的可行性。 相似文献
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锈蚀钢筋混凝土压弯构件恢复力模型研究 总被引：3，自引：0，他引：3
根据目前已有试验资料和理论分析,结合钢筋锈蚀引起结构破坏形态的改变,综合考虑结构各种耐久性损伤因素,并对箍筋锈蚀进行修正,提出了锈蚀钢筋混凝土压弯构件基于地震损伤的恢复力模型的确定方法.通过与现有试验进行对比分析,表明模型描绘的骨架曲线与试验结果总体吻合较好,模型计算的滞回曲线所描述的现象与试验一致,该恢复力模型可在损伤钢筋混凝土结构地震反应分析中采用. 相似文献
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Ming‐Chieh Chuang Shang‐Hsien Hsieh Keh‐Chyuan Tsai Chao‐Hsien Li Kung‐Juin Wang An‐Chien Wu 《地震工程与结构动力学》2018,47(2):269-293
To improve the efficiency of model fitting, parameter identification techniques have been actively investigated. Recently, the applications of parameter identification migrated from off‐line model fitting to on‐line model updating. The objective of this study is to develop a gradient‐based method for model updating to advance hybrid simulation also called hybrid test. A novel modification of the proposed method, which can reduce the number of design variables to improve the identification efficiency, is illustrated in detail. To investigate the model updating, simulated hybrid tests were conducted with a 5‐story steel frame equipped with buckling‐restrained braces (BRBs) utilized in the shaking table tests conducted in E‐Defense in Japan in 2009. The calibrated analytical model that was verified with the test results can serve as the reference model. In the simulated hybrid tests, the physical BRB substructure is numerically simulated by utilizing a truss element with the 2‐surface model identical to the part of the reference model. Such numerical verification allows simulation of measurement errors for investigation on the performance of the proposed method. Moreover, the feasibility of sharing the identified parameter values, which were obtained from the physical substructure responses, with the relevant numerical models is also verified with the artificial component responses derived from the physical experiments. 相似文献
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Substructure hybrid simulation has been actively investigated and applied to evaluate the seismic performance of structural systems in recent years. The method allows simulation of structures by representing critical components with physically tested specimens and the rest of the structure with numerical models. However, the number of physical specimens is limited by available experimental equipment. Hence, the benefit of the hybrid simulation diminishes when only a few components in a large system can be realistically represented. The objective of the paper is to overcome the limitation through a novel model updating method. The model updating is carried out by applying calibrated weighting factors at each time step to the alternative numerical models, which encompasses the possible variation in the experimental specimen properties. The concept is proposed and implemented in the hybrid simulation framework, UI‐SimCor. Numerical verification is carried out using two‐DOF systems. The method is also applied to an experimental testing, which proves the concept of the proposed model updating method. Copyright © 2013 John Wiley & Sons, Ltd. 相似文献
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Hybrid simulations that combine numerical computations and physical experiment represent an effective method of evaluating the dynamic response of structures. However, it is sometimes impossible to take all the uncertain or nonlinear parts of the structure as the physical substructure. Thus, the modeling errors of the numerical part can raise concerns. One method of solving this problem is to update the numerical model by estimating its parameters from experimental data online. In this paper, an online model updating method for the hybrid simulation of frame structures is proposed to reduce the errors of nonlinear modeling of numerical substructures. To obtain acceptable accuracy with acceptable extra computation efforts as a result of model parameter estimation, the sectional constitutive model is adopted, therein considering axial‐force and bending‐moment coupling; moreover, the unscented Kalman filter is used for parameter estimation of the sectional model. The effectiveness of the sectional model updating with the unscented Kalman filter is validated via numerical analyses and actual hybrid tests on a full‐scale steel frame structure, with one column as the experimental substructure loaded by three actuators to guarantee the consistency of the boundary conditions. Copyright © 2016 John Wiley & Sons, Ltd. 相似文献
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Su Tingli Tang Zhenyun Peng Lingyun Bai Yuting Jin Xuebo Kong Jianlei 《地震工程与工程振动(英文版)》2020,19(2):413-421
Combining the advantages of numerical simulation with experimental testing, real-time dynamic substructure (RTDS) testing provides a new experimental method for the investigation of engineered structures. However, not all unmodeled parts can be physically tested, as testing is often limited by the capacity of the test facility. Model updating is a good option to improve the modeling accuracy for numerical substructures in RTDS. In this study, a model updating method is introduced, which has great performance in describing this nonlinearity. In order to determine the optimal parameters in this model, an Unscented Kalman Filter (UKF)-based algorithm was applied to extract the knowledge contained in the sensors data. All the parameters that need to be identified are listed as the extended state variables, and the identification was achieved via the step-by-step state prediction and state update process. Effectiveness of the proposed method was verified through a group of experimental data, and results showed good agreement. Furthermore, the proposed method was compared with the Extended Kalman Filter (EKF)-based method, and better accuracy was easily found. The proposed parameter identification method has great applicability for structural objects with nonlinear behaviors and could be extended to research in other engineering fields. 相似文献
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Model updating issues with high-dimensional and strong-nonlinear optimization processes are still unsolved by most optimization methods.In this study,a hybrid methodology that combines the Gaussian-white-noise-mutation particle swarm optimization(GMPSO),back-propagation neural network(BPNN)and Latin hypercube sampling(LHS)technique is proposed.In this approach,as a meta-heuristic algorithm with the least modification to the standard PSO,GMPSO simultaneously offers convenient programming and good performance in optimization.The BPNN with LHS establishes the meta-models for FEM to accelerate efficiency during the updating process.A case study of the model updating of an actual bridge with no distribution but bounded parameters was carried out using this methodology with two different objective functions.One considers only the frequencies of the main girder and the other considers both the frequencies and vertical displacements of typical points.The updating results show that the methodology is a sound approach to solve an actual complex bridge structure and offers good agreement in the frequencies and mode shapes of the updated model and test data.Based on the shape comparison of the main girder at the finished state with different objective functions,it is emphasized that both the dynamic and static responses should be taken into consideration during the model updating process. 相似文献
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传统方法一般依据静力检测数据测试居民建筑钢结构的极限承载力,对构件数量的要求较高,无法量测隐蔽构件,测试结果精度低。因此提出基于振动参数以及动力模型修正的地震区居民建筑钢结构极限承载力预测与分析方法,分析建筑钢结构振动参数与极限承载能力的关系,塑造地震区居民建筑钢结构简化以及振动方程,获取其极限载荷与振动参数间的关系。采用基于动力模型修正的极限承载力评估方法,基于动力模型修正理论,采用线性屈曲法、几何非线性法以及双重非线性分析法,对地震区居民建筑钢结构极限承载力进行检测。实验结果说明,所提方法能对居民建筑钢结构立柱轴向性和大钩荷载关系以及荷载-扰度曲线,且实施数值运算效果好,预测获取的极限承载力值精度高,建筑的钢结构状态比较稳定。 相似文献
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《地震工程与结构动力学》2018,47(4):889-905
Hybrid simulation is a powerful and cost‐effective simulation technique to evaluate structural dynamic performance. However, it is sometimes rather difficult to guarantee all the boundaries on the physical substructures, especially when the boundary conditions are very complex, due to limited laboratory resources. Lacking of boundary conditions is bound to change the stress state of the structure and eventually result in an inaccurate evaluation of structural performance. A model updating‐based online numerical simulation method is proposed in this paper to tackle the problem of incomplete boundary conditions. In the proposed method, 2 sets of finite element models with the same constitutive model are set up for the overall analysis of the whole structure and the constitutive model parameter estimation of the physical substructure, respectively. The boundary conditions are naturally satisfied because the response is calculated from the overall structural model, and the accuracy is improved as the material constitutive parameters are updated. The effectiveness of the proposed method is validated via numerical simulations and actual hybrid tests on a RC frame structure, and the results show that the negative effect of incomplete boundary conditions is almost eliminated and the accuracy of hybrid simulation is very much improved. 相似文献
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Global SH-wavefield calculation for a two-dimensional whole-Earth model with the parallel hybrid PSM/FDM algorithm 
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下载免费PDF全文 We present a parallel hybrid algorithm based on pseudospectral method (PSM) and finite difference method (FDM) for two-dimensional (2-D) global SH-wavefield simulation. The whole-Earth model is taken as a cross section of spherical Earth, and corresponding wave equations are defined in 2-D cylindrical coordinates. Spatial derivatives in the wave equations are approximated with efficient and high accuracy PSM in the lateral and high-order FDM in the radial direction on staggered grids. This algorithm allows us to divide the whole-Earth into sub-domains in radial direction and implement efficient parallel computing on PC cluster, while retains high accuracy and efficiency of PSM in lateral direction. A transformation of moment tensor between 3-D spherical Earth and our 2-D model was proposed to give corresponding moment tensor components used in 2-D modeling. Comparison of modeling results with those obtained by direct solution method shows very good accuracy of our algorithm. We also demonstrate its feasibility with a lateral heterogeneous whole-Earth model with localized velocity perturbation. 相似文献
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A reliable computational model is necessary for evaluating the state and predicting the future performance of existing structures, especially after exposure to damaging effects such as an earthquake. A major problem with the existing iterative‐based model updating methods is that the search might be trapped in local optima. The genetic algorithms (GAs) offer a desirable alternative because of their ability in performing a robust search for the global optimal solution. This paper presents a GA‐based model updating approach using a real‐coding scheme for global model updating based on dynamic measurement data. An eigensensitivity method is employed to further fine‐tune the GA updated results in case the sensitivity problem arises due to restricted measurement information. The application on shear‐type frames reveals that with a limited amount of modal data, namely the lowest three natural frequencies and the first mode shape, it is possible to achieve satisfactory updating by the GA alone for cases involving a limited number of parameters (storey stiffness herein). With the incorporation of the eigensensitivity algorithm, the updating capability is extended to a sufficiently large number of parameters. In case the modal data contain errors, the GA is also shown to be able to update the model to a satisfactory accuracy, provided the required amount of modal data is available. An example is given in which a 6‐DOF stick model for an actual six‐storey RC frame is updated using the measured dynamic properties. The effectiveness of the updating is evaluated by comparing the measured and predicted seismic response using the updated model. Copyright © 2005 John Wiley & Sons, Ltd. 相似文献