A distributed parameter model of a frame pin‐supported wall structure

Many reinforced‐concrete frames collapse via a soft‐story mechanism during severe earthquakes. Such collapses are mainly attributed to concentrated deformation in a soft story. Deformation control is thus important in preventing collapse. The frame pin‐supported wall structure is a type of rocking structure that releases constraints at the bottom of the wall. Previous research has obtained good results for the deformation control of this type of structure. However, the interior forces and strength demands of the pin‐supported wall have not been systematically explored. In this paper, a distributed parameter model is developed to investigate the strength demand of the wall in a frame pin‐supported wall structure. In the model, the pin‐supported wall is simplified as a bending beam and the frame is simplified as a shear beam. The two beams are joined by distributed shear connectors, so that the shear force can be transferred at any location on the interface. The model can be solved using differential equations based on equilibrium and compatibility. The accuracy of the model is verified using SAP2000 (Computers and Structures Inc., Berkeley, CA, USA). Displacement distribution of the structure and distributions of the moment and shear force within the pin‐supported wall are obtained for two typical external force profiles. It is found that the pin‐supported wall can effectively reduce the drift concentration factor. Distributions of the displacement, moment, and shear force are closely correlated with the relative stiffness of the wall and frame. Finally, recommendations on the stiffness and strength of a pin‐supported wall are made. Copyright © 2015 John Wiley & Sons, Ltd.     

2013年四川芦山MS7.0地震 强地面运动模拟

运用经验格林函数法模拟2013年4月20日芦山M_S7.0地震的近场强地面运动. 在拟合过程中, 首先参考前人远场反演结果给出的滑动量分布特征和主震波形的包络线特征, 确定强震动生成区的大致范围和数量; 然后利用Somerville等提出的地震矩与凹凸体面积的经验关系式确定强震动生成区细小划分的初值, 继而利用遗传优化算法确定以上二者的最优值及其它震源参数. 将数值模拟波形与实际地震观测记录在时间域和频率域分别进行比较, 结果显示, 在所选取的30个观测台站中, 多数台站的数值模拟结果与实际观测结果符合得很好, 特别是大于1 Hz的高频部分. 断层面上有两个强震动生成区, 其位置与前人反演的滑动量集中分布区相一致, 而且强震动生成区规模比Somerville等获得的标度率估计值要小.      

半参数模型在GPS季节性信号分离中的应用

根据噪声序列的Hurst指数特性,提出一种新的确定半参数模型平滑因子的方法--基于Hurst指数的二分搜索法,并将该方法应用于分离时变GPS季节性信号。通过对模拟数据及实测GPS坐标序列的分析,验证了该方法是一种有效的确定平滑因子的方法。将计算得到的平滑因子代入半参数模型,能够将GPS坐标序列中的季节性信号充分地分离出来。     

微型抗滑桩单桩设计计算模型及算法研究

考虑微型桩与周围岩土体间摩擦力的作用,提出了一种新的微型抗滑桩单桩设计计算模型,并给出了具体算法。由微型桩加固滑坡体的变形特点,分析微型桩与岩土体之间的相互作用机制,将微型桩与周围岩土体的摩擦作用引入其受力分析中;根据微型桩上各部分受力特点的不同,将微型桩分成上部摩擦受拉段、中部滑坡推力作用段和下部锚固段3段进行分析,推导了微型桩总的变形控制方程及各分段的变形控制方程;采用初参数法对控制方程进行求解,得到了微型抗滑桩上的内力分布及变形规律。计算结果表明,在滑坡推力作用下,微型桩的变形主要发生在滑面附近及以上桩段,滑面附近桩段将产生较大的内力和弯曲变形,受拉段弯曲变形较小,近似水平移动;桩与岩土体间的摩擦力是微型桩与周围岩土体相互作用的重要组成部分,摩擦力的作用能显著减小微型桩的弯曲变形,有效控制滑坡体的位移。     

西安地区地裂缝带Q3原状黄土流变特性试验研究

汾渭盆地是我国乃至世界上地裂缝最为发育、灾害最为严重的地区。考虑在漫长的地质历史过程中黄土的流变特性对地裂缝破裂扩展模式的影响,采用分级循环加卸载方式,对西安地区长安地裂缝（fc1）带Q3原状黄土进行了不同围压下的固结不排水三轴流变特性试验,得到了地裂缝带Q3原状黄土的蠕变加、卸载曲线和应变速率与时间关系曲线。试验结果表明,不同围压下地裂缝带Q3原状黄土表现为低应力下为减速蠕变,高应力下为减速蠕变和等速蠕变的特征。并基于统一流变力学模型理论,建立了适用于西安地区地裂缝带Q3原状黄土的三维蠕变本构模型,获得了相应的本构模型参数。该成果为研究隐伏地裂缝破裂扩展模式及其力学机制奠定了基础。     

松散承压含水层水文地质参数分区及水流场数值模拟

为了揭示华北型煤田松散承压含水层水文地质参数及其对地下水流数值模拟的意义,以安徽淮北煤田宿南矿区祁东煤矿松散层承压第四含水层(简称“四含”)为研究示范,对多个影响因素综合分析,采用层次分析-模糊综合评价法,对研究区四含水文地质参数进行分区,合理确定各分区的水文地质参数,并用于采煤情景下地下水流动态数值模拟。数值模拟结果表明：祁东煤矿2008-2012年浅部煤层开采过程中四含地下水流场没有明显改变,但南北分区水头差逐年增大,地下水流向始终从南向北,而且在井田北部水力梯度逐渐减小,在井田南部水力梯度逐渐增大,南北区以倾角为60°~70°、断距为10~320 m的魏庙断层为分界线,基岩中大倾角与大落差断层的出现是引起上覆松散承压含水层水力梯度异常的根本原因。     

特超稠油油藏水平井蒸汽驱油物理模拟实验

以胜利油田A区块特超稠油油藏为目标区块,自主研发了高温高压二维比例物理模型,研究了不同开发阶段水平井蒸汽驱油机理,开展了油藏压力、井底干 度、注汽强度对水平井蒸汽驱的效果影响的研究。物模实验结果显示,蒸汽驱整个过程分为三个阶段：存水回采期、汽驱受效期、蒸汽突破期。存水回采期蒸汽腔向水平方向扩展,以水平驱替方式为主 ;汽驱受效期蒸汽腔向垂向和水平方向扩展,以水平驱替方式为主,纵向泄油为辅;后期蒸汽突破,蒸汽腔继续向上方扩展,以纵向泄油为主,实现油层整体动用。5 MPa时转蒸汽驱的采出程度高于7 MPa时转蒸汽驱的采出程度;蒸汽驱的井底蒸汽干度应不低于0.4,蒸汽干度越高,水平井蒸汽驱的开发效果越好;注汽强度为1.9 t/(d·ha·m)时温度场最为发育。同时,在高压下提高干度可实现水 平井蒸汽驱的有效开发。以上的实验结果较好地指导了胜利油田A区块特超稠油油藏水平井蒸汽驱开发,取得了明显的开发效果,该研究对于类似稠油和超稠油油藏水平井蒸汽驱开发具有重要的指导意义 。     

致密砂岩气藏可动流体赋存特征的微观地质因素: 以苏里格气田东部盒8段储层为例

以苏里格气田东部盒8段典型的致密砂岩气藏为例,运用核磁共振、恒速压汞、铸体薄片、物性、X-衍射等实验资料,探讨了影响可动流体赋存差异的微观地质 因素。结果表明,盒8段储层可动流体饱和度低,T₂谱分布均为左高峰右低峰的双峰态;黏土矿物的充填与孔隙类型是孔隙结构复杂的重要因素,孔隙结构是影响可动流体赋存特征的关键;面孔率、喉道 半径、孔喉半径比是影响可动流体饱和度的主要因素,有效孔隙体积、分选系数对可动流体饱和度影响明显,储层物性、黏土矿物、有效喉道体积、孔隙半径对可动流体饱和度影响较弱。     

基于选权拟合法的电离层电子密度层析重构

附加约束的电离层层析算法是解决电离层电子密度反演中不适定问题的主要方法,为避免此类方法中约束权阵的选取不当对电子密度分布重构产生的不良影响,本文将选权拟合法应用到电离层层析成像技术中.该方法特别设计了依据电子密度空间分布特性构造参数权矩阵的方案.新方法有明确的物理意义,挖掘了隐含的信息量,为解决电离层电子密度反演中由于观测数据的不足等因素引起的不适定问题提供了一种新途径,可以得到符合客观实际的结果.数值模拟实验和实测数据的反演结果证实了该算法有效性、可靠性和优越性.     

Two-dimensional physical-based inversion of confined and unconfined aquifers under unknown boundary conditions

An inverse method is developed to simultaneously estimate multiple hydraulic conductivities, source/sink strengths, and boundary conditions, for two-dimensional confined and unconfined aquifers under non-pumping or pumping conditions. The method incorporates noisy observed data (hydraulic heads, groundwater fluxes, or well rates) at measurement locations. With a set of hybrid formulations, given sufficient measurement data, the method yields well-posed systems of equations that can be solved efficiently via nonlinear optimization. The solution is stable when measurement errors are increased. The method is successfully tested on problems with regular and irregular geometries, different heterogeneity patterns and variances (maximum K_max/K_min tested is 10,000), and error magnitudes. Under non-pumping conditions, when error-free observed data are used, the estimated conductivities and recharge rates are accurate within 8% of the true values. When data contain increasing errors, the estimated parameters become less accurate, as expected. For problems where the underlying parameter variation is unknown, equivalent conductivities and average recharge rates can be estimated. Under pumping (and/or injection) conditions, a hybrid formulation is developed to address these local source/sink effects, while different types of boundary conditions can also exert significant influences on drawdowns. Local grid refinement near wells is not needed to obtain accurate results, thus inversion is successful with coarse inverse grids, leading to high computation efficiency. Furthermore, flux measurements are not needed for the inversion to succeed; data requirement of the method is thus not much different from that of interpreting classic well tests. Finally, inversion accuracy is not sensitive to the degree of nonlinearity of the flow equations. Performance of the inverse method for confined and unconfined aquifer problems is similar in terms of the accuracy of the estimated parameters, the recovered head fields, and the solver speed.