钢筋混凝土剪力墙非线性动力分析模型

介绍了目前常用的钢筋混凝土剪力墙的几种非线性动力分析模型,并对模型涉及的各元件的滞回特性及有关参数的取值作了简要讨论。提供的力学模型和滞回特性可供钢筋混凝土剪力墙、框－墙结构和、钢－混凝土混合结构的非线性动力分析时采用。     

非弹性表面波大尺度波形反演（理论和方法）

非弹性的表面波大尺度波形反演的理论方法以如下三方面提出的。（１）计算本征值和本征函数可获得第一阶的频散参数，并把体波的复数形式和波能的吸收引入非弹性中，（２）根据弗拉尔和斯奈德的理论方法，计算了非弹性表面波的激发和合成地震图，球阶非弹性用频散的计算按Ｂｉｓｗａｓ－Ｋｎｏｐｐｏｆ公式被变换成平滑的弹性形式，（３）使用自伴微工子导出关于模型参数的波形Ｆｒｅｃｈｅｔ导数，然后应用非线性反演拟合波形。     

预应力混凝土结构非线性地震反应分析

本文针对预应力混凝土与普通混凝土不同的受力特点,提出了适合于分析预应力混凝土结构抗震性能的非线性有限元模型。模型首先将混凝土结构离散为杆单元,然后对各杆单元按分层组合原理分成许多混凝土层、预应力钢筋层和普通钢筋层,计算混凝土分层单元、预应力钢筋和普通钢筋的应力和应变,最后,根据钢筋与混凝土之间的粘结－滑移关系高速钢筋变形,根据混凝土弹性模量调整结构及杆单元变形,通过对普通混凝土构件和三个预应力混凝     

不同模型对足尺钢框架振动台试验模拟的影响

本文分别采用纤维单元模型和塑性铰单元模型对一个四层足尺钢框架振动台试验进行模拟分析,在三维空间非线性分析程序Perform-3D中进行动力非线性分析,比较分析结果,并与试验结果对比,以研究两种模型应用于钢框架整体结构非线性分析的计算精度。文中并讨论了纤维单元模型截面纤维的划分、塑性区长度的取值等问题。最后对采用组合梁的整体结构模型进行了动力非线性分析。结果表明,纤维模型的建模速度比塑性铰模型快,但塑性铰模型能模拟结构的倒塌时间。Perform-3D程序的纤维单元模型和塑性铰单元模型用于计算我国规范规定的7度和8度地震作用的多层钢框架结构,其结果是真实可靠的,而且计算结果偏于安全。     

简谐横向荷载作用下弹性地基上不可伸长梁的1/2次亚谐共振响应分析

基于已建立的弹性地基上不可伸长梁的非线性动力学模型,本文针对简谐横向荷载作用下梁的1/2次亚谐共振响应进行研究。利用弹性地基梁的非线性运动方程和多尺度方法,求得梁1/2次亚谐共振响应的二次近似解。进而,运用幅频响应曲线对梁的亚谐共振响应进行研究,并分析了边界条件、地基模型、Winkler参数等对梁非线性共振响应的影响。结果表明:三参数地基模型中弹性层的引入对其支承梁的亚谐共振响应影响显著;临界激励幅值决定了弹性地基梁1/2次亚谐共振响应非平凡解的存在性;梁端约束条件在一定程上改变了Winkler参数对梁非线性动力响应的作用效应。     

桩头侧向集中荷载作用下桩—土系统的非线性动力性能分析

在对侧向动荷作用下桩－土相互作用系统的数值模拟方法进行了评述之后，一个三维显式有限元模型被用来描述桩－土系统，以分析其在施加于桩头的侧向脉冲式动载作用下的非线性动力性能，其中混凝土桩被考虑为线弹性材料，而桩周土体被模拟为一种可进入破坏状态的弹塑性材料，同时滑移界面单元被用来模拟桩、土间的滑移和分离。计算结果表明，桩－土系统的侧向动力性能由桩头的约束条件和地表以下一定深度内的系统上部的性能参数所控制     

基于OpenSees的钢骨混凝土受弯构件非线性有限元分析

分别考虑了钢材和混凝土的非线性性能,在开源软件OpenSees的平台上,采用纤维截面模型对钢骨混凝土受弯构件进行非线性有限元分析,并将计算结果与相关的试验结果进行了对比分析。分析结果表明:本文采用的纤维模型得到的计算结果与试验结果比较吻合,验证了在OpenSees的平台上,选择合理的本构及计算参数的纤维模型分析钢骨混凝土梁的可靠性。     

基于超级单元的钢-混凝土混合结构动力特性及地震反应研究

本文提出了基于超级单元的钢框架－混凝土剪力墙结构体系动力特性及地震反应分析的一种方法，该方法考虑了混合结构体系中钢框架部分的受力和变形特点，即节点柔性（半刚性）、梁柱效应（p-δ效应）及P－△效应（以下合称P－Delta效应），推导了考虑三种因素情况下，钢框架的层间侧移刚度及钢框架－混凝土剪力墙结构体系的超级单元刚度矩阵，采用刚度法求解钢框架－混凝土混合结构周期和振型。该方法物理概念清楚，计算简便。     

民用高层建筑多层钢-混凝土结构抗震性能分析

针对民用高层建筑的多层钢-混凝土结构的抗震分析存在缩尺效应、环境限制等问题,本文基于纤维模型理论并采用PERFROM-3D软件建立有限元模型,给出大型混合结构的弹性动力时程分析和阻尼计算方程,并给出了一个17层的民用高层建筑算例。针对算例中的混合结构体,采用El-Centro地震动,输入不同的地震动模拟实际情况,探索不同地震工况对此类结构的影响,并给出该结构的抗震性能分析以及应对方法,具有较强的实践意义。     

方钢管混凝土框架在低周反复荷载作用下的非线性有限元分析

本文建立了方钢管混凝土框架结构的三维非线性有限元分析模型,用以研究方钢管混凝土框架在低周反复荷载作用下的抗震性能。该模型考虑了钢与混凝土的粘结滑移作用。通过与方钢管混凝土框架结构在低周反复荷载作用下试验所得的滞回曲线和刚度退化曲线的对比,发现该模型的计算结果较为精确,可以应用于方钢管混凝土框架的结构分析中。同时由试验和有限元分析计算的结果也可以得出结论,方钢管混凝土框架具有较好的抗震性能。     

Simplified nonlinear modeling of river flow routing

Management of open-channel flow systems requires accurate models of flow transfer. This article presents a simple nonlinear model representative of the flow transfer in a river reach. The model is obtained through linearization of a physical model, simplification using the cumulant matching method and analytic identification of a nonlinear model coinciding with the linear model around equilibrium points, corresponding to the hydraulic permanent regimes. The methodology is illustrated on the diffusive wave equation and the Saint-Venant equations. The obtained nonlinear models are compared in simulation to the initial models. The nonlinear model is shown to ensure mass conservation, despite the variable delay element of the model. The proposed model can reproduce the nonlinear behavior of the time-delay with discharge variations. It is well-suited for fast simulations, flow forecasting, and for controller design.     

The principle of coupled stress release model and its application

Coupled stress release model is proposed in the paper considering the interaction between different parts based on stress release model by Vere-Jones, and is used to historical earthquake data from North China. The results by this model are compared with the results by original stress release model using AIC criterion. The results show that coupled stress release model is better than original model.     

On the study of control effectiveness and computational efficiency of reduced Saint-Venant model in model predictive control of open channel flow

Model predictive control (MPC) of open channel flow is becoming an important tool in water management. The complexity of the prediction model has a large influence on the MPC application in terms of control effectiveness and computational efficiency. The Saint-Venant equations, called SV model in this paper, and the Integrator Delay (ID) model are either accurate but computationally costly, or simple but restricted to allowed flow changes. In this paper, a reduced Saint-Venant (RSV) model is developed through a model reduction technique, Proper Orthogonal Decomposition (POD), on the SV equations. The RSV model keeps the main flow dynamics and functions over a large flow range but is easier to implement in MPC. In the test case of a modeled canal reach, the number of states and disturbances in the RSV model is about 45 and 16 times less than the SV model, respectively. The computational time of MPC with the RSV model is significantly reduced, while the controller remains effective. Thus, the RSV model is a promising means to balance the control effectiveness and computational efficiency.     

Enhancing tidal prediction accuracy in a deterministic model using chaos theory

The classical deterministic approach to tidal prediction is based on barotropic or baroclinic models with prescribed boundary conditions from a global model or measurements. The prediction by the deterministic model is limited by the precision of the prescribed initial and boundary conditions. Improvement to the knowledge of model formulation would only marginally increase the prediction accuracy without the correct driving forces. This study describes an improvement in the forecasting capability of the tidal model by combining the best of a deterministic model and a stochastic model. The latter is overlaid on the numerical model predictions to improve the forecast accuracy. The tidal prediction is carried out using a three-dimensional baroclinic model and, error correction is instigated using a stochastic model based on a local linear approximation. Embedding theorem based on the time lagged embedded vectors is the basis for the stochastic model. The combined model could achieve an efficiency of 80% for 1 day tidal forecast and 73% for a 7 day tidal forecast as compared to the deterministic model estimation.     

Three-dimensional semi-idealized model for tidal motion in tidal estuaries

In this paper, a three-dimensional semi-idealized model for tidal motion in a tidal estuary of arbitrary shape and bathymetry is presented. This model aims at bridging the gap between idealized and complex models. The vertical profiles of the velocities are obtained analytically in terms of the first-order and the second-order partial derivatives of surface elevation, which itself follows from an elliptic partial differential equation. The surface elevation is computed numerically using the finite element method and its partial derivatives are obtained using various methods. The newly developed semi-idealized model allows for a systematic investigation of the influence of geometry and bathymetry on the tidal motion which was not possible in previously developed idealized models. The new model also retains the flexibility and computational efficiency of previous idealized models, essential for sensitivity analysis. As a first step, the accuracy of the semi-idealized model is investigated. To this end, an extensive comparison is made between the model results of the semi-idealized model and two other idealized models: a width-averaged model and a three-dimensional idealized model. Finally, the semi-idealized model is used to understand the influence of local geometrical effects on the tidal motion in the Ems estuary. The model shows that local convergence and meandering effects can have a significant influence on the tidal motion. Finally, the model is applied to the Ems estuary. The model results agree well with observations and results from a complex numerical model.     

A two-way nested-grid ocean-circulation model for the Meso-American Barrier Reef System

A two-way nested-grid ocean-circulation model is developed for the Meso-American Barrier Reef System (MBRS), using a newly developed two-way interactive nesting technique. The unique feature of this new nesting technique is its use of the semi-prognostic method (Sheng et al. 2001) to exchange information between different grids through the model momentum equations. The nested-grid model for the MBRS has a fine-resolution inner model embedded in a coarse-resolution outer model. The outer model is the western Caribbean Sea model developed by Sheng and Tang (2003), with a horizontal resolution of roughly 19 km. The inner model domain covers the northwest Caribbean Sea (NWCS) between 79°W and 89°W and between 15.5°N and 22°N, with a horizontal resolution of roughly 6 km. The nested-grid ocean model is initialized with the January mean temperature and salinity and forced by the monthly mean COADS (comprehensive ocean-atmosphere data set) wind stress and surface heat flux. The model sea-surface salinity is restored to the monthly mean climatology. The nested-grid model is integrated for 2 years and the second-year model results are presented in this paper. The model-calculated annual-mean near-surface currents over the NWCS agree reasonably well with the time-mean near-surface currents inferred by Fratantoni (2001) from trajectories of the satellite-tracked 15-m drogued drifters in the 1990s. The two-way nested model is also used to quantify the role of local wind stress, local density gradients and boundary forcings of the outer model in driving the annual-mean circulation in the region.Responsible Editor: Phil Dyke     

GRACE卫星精密定轨随机模型精化

合理的随机模型是确定高精度卫星轨道的前提条件,目前广泛应用于地面观测数据的随机模型主要有高度角模型和载噪比模型,本文通过对GRACE卫星实测数据的分析表明上述随机模型均不能很好地描述GRACE卫星星载GPS观测值的噪声特点,为此,文中提出了扩展的高度角模型和扩展的载噪比随机模型.利用自主研发的精密定轨软件,分别采用高度角模型、扩展的高度角模型、载噪比模型、扩展的载噪比模型对GRACE卫星进行了轨道确定.数值结果表明:(1)高度角模型的运动学轨道径向精度为3.4 cm,扩展的高度角模型的为3.3 cm;(2)载噪比模型的运动学轨道径向精度为4.9 cm,扩展的载噪比模型的则为3.4 cm,精度提高了1.5 cm.经比较分析,文中提出的扩展的高度角模型和载噪比模型能更好地描述GRACE卫星观测值噪声特点,并能取得更高的卫星定轨精度.     

地震预报唯象模型的适用性研究

滑动可预报模型，时间可预报模型和双限随机应力水平模型是三种相关的地震预报唯象模型。对于一个指定地区，用哪种模型更合理呢？为解决这个问题，本文提出了两地震预报模式适用程度的数值分析方法，利用这些方法可以合理地鉴别出氖要用的地震预报唯象模型是否适用于指定地区的地震预报分析。     

基于强度和能量控制的随机地震动模型

考虑地震动的随机性和频率与强度非平稳性,通过理论分析,提出了一般随机地震动模型,并给出了确定模型参数的原则和方法。该模型以地震动强度、地震动能量以及地震动持时等宏观指标作为控制随机地震动模型参数的指标,而对其内在的频谱组成等指标只要求满足一般地震动的特征。该模型可以用于描述平稳随机过程、强度非平稳随机过程以及强度和频率完全非平稳随机过程。通过与常用功率谱模型的比较,验证了该模型的合理性。