Static and dynamic response of massive caisson foundations with soil and interface nonlinearities—validation and results

The static, cyclic, and dynamic response of a massive caisson foundation embedded in nonlinear layered or inhomogeneous soil and loaded at its top is investigated. The caisson is supported against horizontal displacement and rotation by four types of inelastic springs and dashpots, described with the BWGG model that was developed in the preceding companion paper [Gerolymos N, Gazetas G. Development of winkler model for static and dynamic response of caisson foundations with soil and interface nonlinearities. Soil Dyn Earthq Eng, submitted companion paper]. The prediction of the model is satisfactorily compared with results from 3D-finite element analysis. Some experimental corroboration of the method is provided with the help of a 1/3-scale lateral load test that had been conducted in the field by EPRI. An illustrative example of a caisson embedded in linearly-inhomogeneous clay and subjected to static and dynamic loading is analysed. Characteristic results are presented highlighting the role of soil inelasticity and its interplay with the two dominant interface nonlinearities: separation (gapping) of the caisson shaft from the surrounding soil, and uplifting of the base from the underlying soil.     

Principal axes of m-DOF structures PartⅠ:Static loading

This paper is the first in a two-part series that discusses the principal axes of M-DOF structures subjected to static and dynamic loads. The primary purpose of this series is to understand the magnitude of the dynamic response of structures to enable better design of structures and control modification devices/systems. Under idealized design conditions, the structural responses are obtained by using single direction input ground motions in the direction of the intended control devices/systems,and by assuming that the responses of the structure is decoupleable in three mutually perpendicular directions. This standard practice has been applied to both new and retrofitted structures using various seismic protective systems. Very limited information is available on the effects of neglecting the impact of directional couplings (cross effects - of which torsion is a component) of the dynamic response of structures. In order to quantify such effects, it is necessary to examine the principal axes of structures under both static and dynamic loading.This first paper deals with quantitative definitions of principal axes and "cross effects" of three-dimensional structures under static load by using linear algebra. It shows theoretically that, for three-dimensional structures, such principal axes rarely exist. Under static loading conditions, the cross effect is typically small and negligible from the viewpoint of engineering applications. However, it provides the theoretical base for subsequent quantification of the response couplings under dynamic loads, which is reported in part Ⅱ of this series.     

1998年中国洪灾成因初探

对１９９８年发生在我国长江流域及东北地区的特大暴雨及洪涝灾害的预测进行了总结 ,并对其形成原因进行了初步的分析与探讨,强调了越赤道气流异常及地磁场异常是形成这次特大洪涝灾害的诸多重要自然原因中的两个重要原因。     

沿海滩涂围垦区土地生产潜力模型构建与应用——以江苏省如东县为例

沿海淤泥质滩涂是中国重要的耕地后备资源之一,滩涂围垦新增的大量耕地资源的生产潜力能反映滩涂土壤粮食安全保障能力大小。本文以江苏省如东县滩涂围垦区为例,在现有的光温水气候生产潜力模型的基础上,引进基础地力贡献率和盐分限制因子作为土壤有效性系数,构建沿海地区土地生产潜力模型,并通过水稻和小麦产量对模型结果进行初步验证。研究表明：该模型具有一定可行性。滩涂围垦区水稻产量土壤基础地力贡献率为55%~59%;小麦基础地力贡献率为50%~80%。未脱盐的1982年滩涂围垦区水稻和小麦产量受到盐分阻碍的系数分别为0.73和1.00。2007年垦区由于盐分太高不能种植水稻,小麦产量受到盐分阻碍系数为0.35。未脱盐的1982年滩涂垦区土壤基础地力修正后的水稻和小麦土地生产潜力分别为12235.84和6502.23 kg/hm²;土壤盐分修正后的土地生产潜力分别为15677.42和10329.39 kg/hm²;土壤基础地力和盐分共同修正后的土地水稻和小麦生产潜力分别为8934.97和6502.23 kg/hm²。与实地调查的水稻产量(9750 kg/hm²)和小麦生产潜力(6000 kg/hm²)相比,目前土地生产力远小于盐分限制下的土地生产潜力,与基础地力和盐分双重限制下的土地生产潜力接近,改善土壤施肥技术可以进一步提高土地生产力。     

旋翼无人机盐城试验观测资料分析及其在一次浓雾天气观测中的应用

2018年3月28—30日、6月20—26日和9月5—13日在江苏省盐城市射阳站开展了旋翼无人机大气边界层垂直结构观测试验,并与L波段雷达探空资料进行对比,验证无人机观测资料精度。结果表明无人机观测的温度、相对湿度、风向、风速廓线与探空观测资料具有较好的一致性。二者温度、相对湿度的相关系数均为0.98,温度绝对偏差为0.57℃,相对湿度绝对偏差为4.25%,风向相关系数为0.98,绝对偏差为11.5°,二者风速的相关系数为0.91,绝对偏差为1.88 m·s~(-1),且无人机探测的风速为对应高度上的瞬时风速,可以更好地反映出边界层内风速细节变化特征。试验期间,无人机观测到一次夏季浓雾过程边界层结构细致变化特征,其观测的雾的边界层结构特征和宏观特征与探空观测基本一致。验证结果表明无人机在边界层气象观测中具有很好的应用前景。     

2007/2008年冬季雨雪冰冻灾害的副热带高压环流背景与变异特征

基于NCEP/NCAR提供的1958—2008年逐日再分析资料,对2007/2008年冬季我国雨雪冰冻灾害期间副高指数特征与El Nino/La Nina年平均冬半年副高指数特征以及50a平均冬半年副高指数特征进行对比分析。采用交叉小波和小波相干分析方法,进一步分析了它们之间的相关性和异同性以及对大气环流的影响,揭示了2007/2008年我国南方雨雪冰冻灾害期间副热带高压活动与环流变异特性的一些基本特征,如La Nina事件冬季(尤其是中等强度La Nina事件年份的冬季),副高通常比一般年份副高的平均位置偏北。     

元江-红河跨境水质环境问题和保护研究

在红河干流不同污染流域,设立5个环境监测断面,同时选定人烟稀少、无工业、自然条件良好的李仙江加禾断面为对照。利用1999～2002年对水质影响大的DO、COD、BOD5、NH 3-N、NO3-N、NO 2-N、Cu、Pb、Cd、T-P、石油类及SS 12项污染物,均在枯、丰、平3个不同水期采样监测,将监测结果做数理统计分析,研究污染物的迁移、转化规律,并得出:出境断面NH 3-N平均含量高达0.18～0.86m gL/,T-P高达0.045～0.315m g/L,SS高达69～3412m gL/,从而提出小流域治理、退耕还林、城市水网改造及控制含磷洗涤剂使用的建议。     

Two-stage permutation tests for determining homogeneity within a spatial cluster

The discovery of spatial clusters formed by proximal spatial units with similar non-spatial attribute values plays an important role in spatial data analysis. Although several spatial contiguity-constrained clustering methods are currently available, almost all of them discover clusters in a geographical dataset, even though the dataset has no natural clustering structure. Statistically evaluating the significance of the degree of homogeneity within a single spatial cluster is difficult. To overcome this limitation, this study develops a permutation test approach Specifically, the homogeneity of a spatial cluster is measured based on the local variance and cluster member permutation, and two-stage permutation tests are developed to determine the significance of the degree of homogeneity within each spatial cluster. The proposed permutation tests can be integrated into the existing spatial clustering algorithms to detect homogeneous spatial clusters. The proposed tests are compared with four existing tests (i.e., Park’s test, the contiguity-constrained nonparametric analysis of variance (COCOPAN) method, spatial scan statistic, and q-statistic) using two simulated and two meteorological datasets. The comparison shows that the proposed two-stage permutation tests are more effective to identify homogeneous spatial clusters and to determine homogeneous clustering structures in practical applications.     

Identifying linear and non-linear behaviour in reduced complexity modelling output using surrogate data methods

Validation of model output is an important issue in the environmental sciences. This is particularly the case for reduced complexity modelling approaches where verification of the underlying equations is often problematic. Hence, methods that go beyond validation based on average values or the histogram of model output, are clearly advantageous. In this paper we show that a validation method based on the serial properties of time–space data, and developed in geomorphology, is a useful alternative but is nevertheless still insensitive to certain asymmetric characteristics of the signal. Hence, use of this method for validation may be enhanced by the adoption of an accompanying test for asymmetry in the model output.     

A new methodology for building local climate change scenarios: A case study of monthly temperature projections for Mexico City

This paper proposes a new methodology for generating climate change scenarios at the local scale based on multivariate time series models and restricted forecasting techniques. This methodology offers considerable advantages over the current statistical downscaling techniques such as: (i) it provides a better representation of climate at the local scale; (ii) it avoids the occurrence of spurious relationships between the large and local scale variables; (iii) it offers a more appropriate representation of variability in the downscaled scenarios; and (iv) it allows for compatibility assessment and combination of the information contained in both observed and simulated climate variables. Furthermore, this methodology is useful for integrating scenarios of local scale factors that affect local climate. As such, the convenience of different public policies regarding, for example, land use change or atmospheric pollution control can be evaluated in terms of their effects for amplifying or reducing climate change impacts.