Analytical and empirical models for predicting the drift capacity of modern unreinforced masonry walls

Displacement‐based seismic assessment of buildings containing unreinforced masonry (URM) walls requires as input, among others, estimates of the in‐plane drift capacity at the considered limit states. Current codes assess the drift capacity of URM walls by means of empirical models with most codes relating the drift capacity to the failure mode and wall slenderness. Comparisons with experimental results show that such relationships result in large scatter and usually do not provide satisfactory predictions. The objective of this paper is to determine trends in drift capacities of modern URM walls from 61 experimental tests and to investigate whether analytical models could lead to more reliable estimates of the displacement capacity than the currently used empirical models. A recently developed analytical model for the prediction of the ultimate drift capacity for both shear and flexure controlled URM walls is introduced and simplified into an equation that is suitable for code implementation. The approach follows the idea of plastic hinge models for reinforced concrete or steel structures. It explicitly considers the influence of crushing due to flexural or shear failure in URM walls and takes into account the effect of kinematic and static boundary conditions on the drift capacity. Finally, the performance of the analytical model is benchmarked against the test data and other empirical formulations. It shows that it yields significantly better estimates than empirical models in current codes. The paper concludes with an investigation of the sensitivity of the ultimate drift capacity to the wall geometry, static, and kinematic boundary conditions.     

A probabilistic framework for estimating the residual drift of idealized SDOF systems of non‐degrading conventional and damped structures

This paper presents a general framework for predicting the residual drift of idealized SDOF systems that can be used to represent non‐degrading structures, including those with supplemental dampers. The framework first uses post‐peak oscillation analysis to predict the maximum ratio of residual displacement to the peak transient displacement in a random sample. Then, residual displacement ratios obtained from nonlinear time‐history analyses using both farfield and near‐fault‐pulse records were examined to identify trends, which were explained using the oscillation mechanics of SDOF systems. It is shown that large errors can result in existing probability models that do not capture the influence of key parameters on the residual displacement. Building on the observations that were made, a general probability distribution for the ratio of residual displacement to the peak transient displacement that more accurately reflects the physical bounds obtained from post‐peak oscillation analysis is proposed for capturing the probabilistic residual displacement response of these systems. The proposed distribution is shown to be more accurate when compared with previously proposed distributions in the literature due to its explicit account of dynamic and damping properties, which have a significant impact on the residual displacement. This study provides a rational basis for further development of a residual drift prediction tool for the performance‐based design and analysis of more complex multi‐degree‐of‐freedom systems.     

典型砖木结构农居地震弹塑性有限元分析

针对我国农居结构中比例最高的砖木结构,选取典型结构运用ABAQUS有限元软件进行模态和地震时程弹塑性分析。给出M0.5和M5两种砌筑强度砖木结构农居的前三阶特征周期和振型,并与经验周期公式值进行对比分析,提出后者存在的问题和修改建议。选取天津波作为地震动时程输入,分别计算不同峰值加速度下两种砖木结构农居弹塑性地震反应,给出相应的拉损伤云图,并对结构的破坏特征进行分析,给出结构抗震薄弱部位。结果表明,砌筑强度是决定结构抗震能力的关键因素之一。     

基于LAIC电场渗透和SAMI2模拟的地震-电离层扰动现象研究

地震会造成电离层电子密度扰动。 基于三维电场渗透模型和SAMI2模型, 模拟地震发生前产生的异常电场对电离层电子密度的影响。 模拟结果表明, 地震前形成的附加电流会引起电离层产生异常电场, 且异常电场值与地震震级和地震发生时间有着明显的相关。 同时异常电场会使电子产生E×B漂移, 造成电子密度扰动。 随着时间的推移, 电子密度扰动逐渐减小且扰动区域会向着靠近磁赤道方向或远离磁赤道方向漂移。     

国产海底地震仪的时间记录与原始数据精细校正

海底地震仪(OBS)的时间记录对数据处理是至关重要的.实践发现,部分国产便携式OBS的数据记录存在较大的内部时间误差,并且实测地震剖面异常的同相轴"断阶"、"倾斜"现象时有发生.我们通过自激自收试验,对这些异常现象进行了验证,确认其来源于OBS数据文件内部时间漂移,以及数据处理程序存在的缺陷.统计表明,A、B型OBS内部时间漂移量在250Hz的预设采样率下为0～40ms,L、S型OBS在100Hz下为0～90ms.这个量级的时间漂移,会对OBS数据处理、计算模拟产生影响.进一步,我们采用计算实际采样间隔、调整采样间隔、数据重采样的方法,对这种误差进行校正,并且改进了相关的OBS数据处理程序.本文的研究加深了对OBS数据时间记录误差的认识,得到了OBS数据文件内部时间漂移的分布规律,使得中等及较大程度的内部时间漂移的精细校正得到重视,进而完善了OBS数据处理步骤和流程,对OBS数据的有效利用进行了重要补充,为国产OBS的广泛使用、仪器研发提供了重要参考.     

孔隙液体的可压缩性对非饱和孔隙介质弹塑性分析的影响

首先在多相孔隙介质的混合物理论框架内探讨了如何利用固-液两相孔隙介质模型描述介质的非饱和问题。其次,讨论了一个实用的描述孔隙液体可压缩性的方法,并建立了小变形条件下固-液两相孔隙介质的弹塑性本构方程。最后,采用俞茂宏统一强度理论,针对一个具体的结构例子,分析了孔隙液体的可压缩性对结构弹塑性分析的影响。     

A METHOD TO CORRECT YIELD SURFACE DRIFT IN SOIL PLASTICITY UNDER MIXED CONTROL AND EXPLICIT INTEGRATION

When applying an explicit integration algorithm in e.g. soil plasticity, the predicted stress point at the end of an elastoplastic increment of loading might not be situated on the updated current yield surface. This so-called yield surface drift could generally be held under control by using small integration steps. Another possibility, when circumstances might demand larger steps, is to adopt a drift correction method. In this paper, a drift correction method for mixed control in soil plasticity, under drained as well as undrained conditions, is proposed. By simulating triaxial tests in a Constitutive Driver, the capability and efficiency of this correction method, under different choices of implementation, have been analysed. It was concluded that the proposed drift correction method, for quite marginal additional computational cost, was able to correct successfully for yield surface drift giving results in close agreement to those obtained with a very large number of integration steps. © 1997 by John Wiley & Sons, Ltd.     

高层建筑结构静力弹塑性分析的Pushover-QR法

将QR法与Pushovcer分忻方法相结合,提出了高层建筑结构静力弹塑性分析的Pushover-QR（PO-QR）法。该方法沿用了常规Pushover方法进行抗震结构静力弹塑性分析的实施思路,用QR法代替Pushover分析方法中的有限元部分,充分利用这两种方法的优点,使得抗震结构静力弹塑性分析的计算得到较大的简化。PO-QR法程序的工程算例表明,该法是一种经济、有效、可行的分析方法。     

Development of detachable replaceable links for eccentrically braced frames

Eccentrically braced frames (EBFs) can be repaired after a major earthquake by replacing the links. The link replacement is not a straightforward process and is influenced by the type of the link and the amount of residual frame deformations. The past decade has witnessed the development of different types of replaceable links such as end-plated links, web connected links, bolted flange and web spliced links, and collector beam and brace spliced links. All of the developed replaceable link details, except the web connected links, are not suitable for link replacement under residual frame drift. In this paper, a detachable replaceable link detail which is based on splicing the link at its mid-length is proposed. The detail is well suited for installation under residual frame drifts. In addition, the weight and size of the members to be transported and erected are reduced significantly, thereby facilitating the replacement procedure. Performance of this proposed replaceable link is studied by conducting six nearly full scale EBF tests under quasi-static cyclic loading. The link length ratio, type of end-plated mid-splice connection, and the amount of residual drift are considered as test variables. The test results revealed that the inelastic rotation capacity of the detachable replaceable links exceeds the requirements of the AISC Seismic Provisions for Structural Steel Buildings. No failures are observed in the end-plated mid-splice connections demonstrating the potential of the proposed details. The detachable replaceable links are investigated by numerical analysis as well to further validate their applicability and to develop design recommendations.     

An improved optical flow method to estimate Arctic sea ice velocity (winter 2014?2016)

1 Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology/Key Laboratory for Land Satellite Remote Sensing Applications of Ministry of Natural Resources, School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China; 2 Collaborative Innovation Center of Novel Software Technology and Industrialization, Nanjing 210023, China; 3 Collaborative Innovation Center of South China Sea Studies, Nanjing 210023, China