Semi-active model predictive control for 3rd generation benchmark problem using smart dampers

A semi-active strategy for model predictive control (MPC), in which magneto-rheological dampers are used as an actuator, is presented for use in reducing the nonlinear seismic response of high-rise buildings. A multi-step predictive model is developed to estimate the seismic performance of high-rise buildings, taking into account of the effects of nonlinearity, time-variability, model mismatching, and disturbances and uncertainty of controlled system parameters by the predicted error feedback in the multi-step predictive model. Based on the predictive model, a Kalman-Bucy observer suitable for semi-active strategy is proposed to estimate the state vector from the acceleration and semi-active control force feedback. The main advantage of the proposed strategy is its inherent stability, simplicity, on-line real-time operation, and the ability to handle nonlinearity, uncertainty, and time-variability properties of structures. Numerical simulation of the nonlinear seismic responses of a controlled 20-story benchmark building is carried out, and the simulation results are compared to those of other control systems. The results show that the developed semi-active strategy can efficiently reduce the nonlinear seismic response of high-rise buildings.     

Reconstruction of earthquake hazard in regions of sparse seismic monitoring

Studying strong motion records and the spatial distribution of ground shaking is of great importance in understanding the underlying causes of damage in earthquakes. Many regions in the world are either not instrumented or are sparsely instrumented. As such, significant opportunities for motion-damage correlations are lost. Two recent and damaging earthquakes belong to the class of lost opportunities, namely the Kashmir (Pakistan) earthquake of October 2005 and the Yogyakarta (Indonesia) earthquake of May 2006. In this paper, an overview of the importance of supply and demand studies in earthquake-stricken regions is given, followed by two examples of investigative engineering seismology aimed at reconstructing the hazard from sparse data. The paper closes with a plea for responsible authorities to invest in seismic monitoring networks in the very near future.     

隔板贯通式梁柱节点抗震性能试验研究

设计了低周反复荷载作用下3个十字形足尺隔板贯通式梁柱节点试件(其中2个节点的柱子浇筑了混凝土,1个为空钢管)的拟静力试验。通过研究拟静力试验所得的滞回曲线求得该节点的等效阻尼比,衡量它的耗能能力。从恢复力特性曲线得到了和一次加载相接近的骨架曲线,节点的初始刚度和刚度退化等参数。通过这些从强度、变形和能量等三方面判别和鉴定隔板贯通式梁柱节点的抗震性能,并得出了一些具有参考价值的结论。     

水平地震作用下无锚固储罐应力与应变响应分析

在考虑地基与储罐相互作用的情况下,采用有限元法对储罐在水平地震荷载作用下的应力及应变反应进行了数值计算。对3×104m3和2×103m3罐壁应力及应变的分析结果表明:环向、轴向应力及应变的分布形式呈现出明显的下部大上部小的特点,在偏底部的位置出现应力和应变的峰值;储液罐在水平地震作用下“象足”变形是由纵向压应力达到屈曲临界应力导致的屈曲破坏,不是强度破坏,即破坏属于失稳破坏而非强度破坏。     

三维隔震(振)支座的工程应用与现场测试

首先介绍了一种新型三维隔震(振)支座,该支座由联接件、竖向隔振支座和水平隔震支座组成。竖向隔振支座和水平隔震支座具有较小刚度,采用该类型支座的隔震结构,其竖向基频和水平基频可远离地铁、铁路振动和地震的主频,从而实现竖向隔振和水平隔震作用。其次介绍了该三维隔震(振)支座在某一地铁平台上部结构中的应用情况,对该类型支座进行了竖向性能和水平性能试验。最后对三维隔震(振)结构与传统结构进行了地铁运行时结构振动的对比测试。测试结果表明:三维隔震(振)系统对振动的高频信号具有显著衰减效果。     

钢筋混凝土渡槽结构地震反应数值分析

首先介绍了钢筋混凝土渡槽结构在地震荷载作用下的分析理论,根据这些理论建立了渡槽结构的动力有限元分析模型,分别采用干模态法、附加质量法和ALE法考虑渡槽结构液固耦合作用,通过具体的工程算例,对钢筋混凝土渡槽结构进行了不同工况下的数值模拟研究,包括混凝土非线性材料分析、渡槽结构静水与动水响应分析、渡槽结构自振特性分析和槽墩的能力曲线分析。研究表明,考虑固液耦合作用的渡槽实体有限元模型能较好地模拟渡槽结构地震反应,并得到相应的渡槽结构地震反应规律。     

某长江大桥深度超过15米的砂土层液化势的综合评价

不同抗震设计规范的砂土液化判别方法或国内外其他有代表性的液化判别方法所采用的地震动参数和土性指标及其埋藏条件是不同的,因而采用这些方法对同一工程场地进行液化势预测时其评价结果通常有一些差异,甚至会得到相反的结论。为了给重大工程建设提供较为合理、可信的地基液化势预测结果,采用多种液化判别方法进行场地液化势的综合评价是比较客观的,也是必要的。本文结合某长江大桥桥基工程,采用建筑抗震设计规范的砂土液化判别方法、国内外有代表性的液化判别方法、有限元数值分析法等多种方法逐一对该工程场地砂性土层进行液化判别,并结合室内动三轴液化试验结果,对主桥墩不考虑冲刷条件和考虑一般冲刷深度5m条件时的砂性土层进行了液化势的综合评价,并将各土层的液化势分为液化、可能液化和不液化3个等级,得到了较为合理可靠的判别结果。     

水平地震激励下储罐液体晃动与提离分析

在考虑地基与储罐相互作用的情况下,采用有限元法对储罐在水平地震荷载作用下的液面晃动及储罐提离反应进行了分析。结果表明:罐内液体的晃动是长周期运动,其周期受地震动影响。无论是小体积罐还是大体积罐,在一定的地震烈度下均可以发生提离,而且储罐发生提离的时刻大多数是在地震动的峰值过后的一段时间内。大体积的储罐的提离明显小于小体积的罐。底板提离区域为月牙形。     

地震安评中地震活动性的统计区域与b值

本文讨论我国现行地震安全性评价中,地震活动性研究统计区域的选择及b值计算中存在的问题,提出不一定以地震区带作为统计区域的建议。文中同时指出,累计b值的正确概念应该是无震级上限累计b值,应采用迭代回归计算。文中用实际例子说明作者的建议。     

Validation of a soil water balance model using soil water content and pressure head data

The validation of soil water balance models and the evaluation of the quality of the model predictions at field‐scale require time‐series of in situ measured model outputs. In our study, we have validated such a model using a 6‐year period with time‐series of automatically recorded, daily volumetric soil water contents measured with the time‐domain reflectometry with intelligent microelements (TRIME) method and daily pressure heads measured with tensiometers. The comparisons of simulated with measured soil water contents and pressure heads were analysed using the modelling efficiency index (IA) and the square root of the mean square error (RMSE) in order to evaluate the prediction quality of the model. In our study, IA and RMSE, obtained either from the comparison of simulated with measured soil water contents or the comparison of calculated with observed pressure heads, in some cases lead to different results regarding the evaluation of the simulation quality of the soil water balance model. For example, a good fit between simulated and observed soil water contents does not necessarily result in a comparably good fit between the corresponding calculated and measured pressure heads. Therefore, a combined use of both measurement techniques, which takes into account their respective advantages and disadvantages, gives a more complete overview on the simulation quality of the soil water balance model than the single use of one of those techniques. Copyright © 2004 John Wiley & Sons, Ltd.