鲁西南深埋粘性土物理力学指标多元统计研究

运用R因子分析和R型聚类两种多元统计分析方法,对鲁西南地区深埋粘性土的20组样的8个物理力学指标数据进行了分析。利用R因子分析方法,揭示了各指标对鲁西南地区深埋粘性土状态和力学性质的影响关系。利用R型聚类分析方法,研究了深部粘性土各物理力学指标之间的相关性,为进一步从物理力学指标对深埋粘性土的特殊状态和力学特性的研究打下基础。     

气候变化对地表水环境的影响研究与展望

全球气候变暖引起水资源量和时空上的分布变化,进一步将影响着地表水环境,改变着河流湖泊的水质和环境情势.大多数关于气候变化对水的影响研究主要集中在气候变化对水量的影响方面,对水环境影响方面的定量研究相对较少.基于目前关于气候变化和水环境国内外现有的研究成果,本文主要讨论了气候变化(温度和极端水文事件)对河道、湖泊等水体水质的带来的可能影响,总结了目前的一些研究和采用的方法主要包括经验统计和模型模拟.在此基础上,提出了气候变化和水环境影响研究方面的展望.     

3D裂隙网络随机模拟及其工程应用研究

岩体中存在的大量随机分布的裂隙对岩体的工程性质及稳定性有着极其重要的影响。传统的工程地质研究方法难以客观地描述其空间分布特征。应用概率与统计学的理论 ,通过统计分析得到裂隙的分布规律性 ,采用随机模拟的方法实现与统计分布相适应的裂隙网络是研究随机裂隙宏观特征的有效途径。通过模拟所得的 3D裂隙网络 ,进一步研究了裂隙的连通特征及工程开挖面上的稳定分析与加固措施优化的方法     

Weibull statistical analysis of granite bending strength

Summary  This paper describes and discusses the adequacy of Weibull statistical analysis to analyse the bending strength of granite. The experimental results show that strength variability is related with a specific origin of failure. This conclusion is based on analysing the influence of the surface condition (extrinsic defects) on the bending strength results treated by the Weibull statistics. The conclusions drawn from this study have been validated by analysing the results of the critical flaw dimension estimated by applying the linear elastic fracture mechanics (LEFM) formulae. Results obtained from fractographic examination also have been used to describe the location of the origin of the fracture and understand the distribution of defects; i.e., there is a unimodal distribution of defects (intrinsic defects), despite the fact that some outlier values are normally observed in the fractured surfaces. Correspndence: P. M. Amaral, Department of Materials Engineering, Instituto Superior Técnico, Technical University of Lisbon, Av. Rovisco Pais, 1049-001 Lisboa, Portugal     

On the Characteristics of Heavy Multiple-Day Snowfalls in the Eastern Alps

Based on the daily fresh-snowrecordings of a set of 81 stations of the AustrianHydrographic Service, covering a 19-year period,various aspects of extraordinarily long-lasting severesnowfalls are investigated. Starting from an exactdefinition of periods of Heavy Snowfall Events (HSE),some of the discussed items include the annual andseasonal frequencies of intense snowfall episodes, thelocation and migration paths of the storm centers andthe volume of snow dropped by the individual storms.Another part of the study, designed to visualize thebig variability of snow-related parameters over Alpineterrain, determines for all involved sites maximalobserved and theoretical extreme fresh-snowaccumulations for periods of variable length. Heavythree-day snowfall events are analyzed with specialregard of the resulting avalanche threat.     

Compositional Geometry and Mass Conservation

A geometrical structure is imposed on compositional data by physical and chemical laws, principally mass conservation. Therefore, statistical or mathematical investigation of possible relations between data values and such laws must be consistent with this structure. This demands that geometrical concepts, such as points that specify both mass and composition in linear space, and lines in projective space that specify composition only, be clearly defined and consistent with mass conservation. Mass thus becomes the norm in composition space in place of the Euclidean norm of ordinary space. Coordinate transformations inconsistent with this geometry are accordingly unnatural and misleading. They are also unnecessary because correlation arising from the constant mass presents no unusual difficulty in the analysis of the underlying quadratic form.     

Improved performance‐based seismic assessment of buildings by utilizing Bayesian statistics

This paper addresses two important issues of concern to practicing engineers and researchers alike in application of performance‐based seismic assessment (PBSA) methodology on buildings: (i) the number of ground motion records required to exercise PBSA—current practice (FEMA P‐58‐1) requires eleven or more pairs of motions for this purpose, and (ii) the time and effort associated with performing the number of nonlinear response history analyses required to exercise PBSA. We present a method for exercising of PBSA that employs classical linear modal analysis to develop a first estimate (i.e., a priori) of probability distribution of loss, followed by utilizing Bayesian statistics to update this estimate using estimates of loss obtained by utilizing a small number of nonlinear response history analyses of a detailed model of the building (i.e., posterior). The proposed technique is used to assess the distribution of monetary loss of two case studies, a 4‐story reinforced concrete moment‐resisting frame building and a 20‐story steel moment‐resisting frame building, both located in Los Angeles, for a ground motion hazard with 10% probability of exceedance in 50 years. The efficiency of the proposed PBSA method is demonstrated by showing the similarity between the distribution of monetary loss at each story of case study buildings obtained from the traditional/sophisticated PBSA methodology and the proposed PBSA method in this study. Copyright © 2015 John Wiley & Sons, Ltd.     

地震岩相识别概率表征方法

储层岩相分布信息是油藏表征的重要参数,基于地震资料开展储层岩相识别通常具有较强的不确定性.传统方法仅获取唯一确定的岩相分布信息,无法解析反演结果的不确定性,增加了油藏评价的风险.本文引入基于概率统计的多步骤反演方法开展地震岩相识别,通过在其各个环节建立输入与输出参量的统计关系,然后融合各环节概率统计信息构建地震数据与储层岩相的条件概率关系以反演岩相分布概率信息.与传统方法相比,文中方法通过概率统计关系表征了地震岩相识别各个环节中地球物理响应关系的不确定性,并通过融合各环节概率信息实现了不确定性传递的数值模拟,最终反演的岩相概率信息能够客观准确地反映地震岩相识别结果的不确定性,为油藏评价及储层建模提供了重要参考信息.模型数据和实际资料应用验证了方法的有效性.     

Critical rainfall statistics for predicting watershed flood responses: rethinking the design storm concept

Recent advances have been made to modernize estimates of probable precipitation scenarios; however, researchers and engineers often continue to assume that rainfall events can be described by a small set of event statistics, typically average intensity and event duration. Given the easy availability of precipitation data and advances in desk‐top computational tools, we suggest that it is time to rethink the ‘design storm’ concept. Design storms should include more holistic characteristics of flood‐inducing rain events, which, in addition to describing specific hydrologic responses, may also be watershed or regionally specific. We present a sensitivity analysis of nine precipitation event statistics from observed precipitation events within a 60‐year record for Tompkins County, NY, USA. We perform a two‐sample Kolmogorov–Smirnov (KS) test to objectively identify precipitation event statistics of importance for two related hydrologic responses: (1) peak outflow from the Six Mile Creek watershed and (2) peak depth within the reservoir behind the Six Mile Creek Dam. We identify the total precipitation depth, peak hourly intensity, average intensity, event duration, interevent duration, and several statistics defining the temporal distribution of precipitation events to be important rainfall statistics to consider for predicting the watershed flood responses. We found that the two hydrologic responses had different sets of statistically significant parameters. We demonstrate through a stochastic precipitation generation analysis the effects of starting from a constrained parameter set (intensity and duration) when predicting hydrologic responses as opposed to utilizing an expanded suite of rainfall statistics. In particular, we note that the reduced precipitation parameter set may underestimate the probability of high stream flows and therefore underestimate flood hazard. Copyright © 2016 John Wiley & Sons, Ltd.     

琼东南盆地崖南区少井岩性建模技术研究

崖南区是琼东南盆地已证实的富生烃区,几口已钻井都已证实主要目的层段为高压地层,利用常规的压力预测方法预测新钻井的压力会出现较大的误差.若是从区域应力角度入手预测新钻井的压力误差会减小,其预测基础为岩性模型.对于已开发的油气田,利通常规的岩性建模方法可以建立较好的岩性模型;但是对于崖南区而言,由于地震资料品质不是很好,同时本区钻井较少,很难通过常规的建模方法建立岩性模型,所以本区研究重点是如何利用少井建立岩性模型.通过研究认为若完成崖南区的岩性建模必须改进建模流程,改进的岩性建模流程克服了常规岩性建模在崖南区存在的问题,主要有三方面的优点:1)不采用相模型约束岩性建模,解决了由于研究区相模型划相较粗很难约束岩性模型建立的问题;2)属性模型控制岩性模型的横向变化趋势,解决了几种常规属性与岩性间没有较好关系的问题;3)利用泥质含量结合岩性资料建立岩性体,得到的岩性模型比较接近实际情况.C井钻前完成岩性模型建立,利用C井井点位置提取岩性数据与本井钻后录井岩性数据对比,发现预测岩性与录井岩性的吻合程度很高,证明改进的岩性建模思路在崖南少井区可用.