Calibration of cyclic constitutive models by oscillating functions

Most structures are subjected to more cyclic loads during their life time than static loads. These cyclic action could be a result of either natural or man-made activities and may lead to soil failure. In order to understand the response of the foundation and its interaction with these complex cyclic loadings, various researchers have over the years developed different constitutive models. Although a lot of research is being carried out on these relatively new models, little or no details exist in literature about the model-based identification of the cyclic constitutive parameters which to a large extent govern the quality of the model output. This could be attributed to the difficulties and complexities of the inverse modeling of such complex phenomena. A variety of optimisation strategies are available for the solution of the sum of least-squares problems as usually done in the field of model calibration. However, for the back analysis (calibration) of the soil response to oscillatory load functions, this article gives insight into the model calibration challenges and also puts forward a method for the inverse modeling of cyclic loaded foundation response such that high-quality solutions are obtained with minimum computational effort.     

Probabilistic calibration of a coupled hydro-mechanical slope stability model with integration of multiple observations

Multiple types of responses, such as displacements, ground water level, pore water pressures, water contents, etc., are usually measured in comprehensive monitoring programmes for rainfall-induced landslide prevention. In this study, a probabilistic calibration method for coupled hydro-mechanical modelling of slope stability is presented with integration of multiple types of measurements. A numerical example of a soil slope under rainfall infiltration is illustrated to compare the effects of single and multiple types of responses on parameter estimation and model calibration. The results show that the soil parameters can be estimated with less uncertainty and total uncertainty bounds are narrower with multiple types of responses than with a single type of response. Model calibration based on multiple types of responses can compromise different responses and hence the means and standard deviations of model error are the smallest. A feasible correlation coefficient between soil modulus and permeability can be obtained from model calibration with multiple types of responses and single type of response as long as the responses include displacement data.     

扬子地台东南缘下寒武统清虚洞组风暴沉积特征及其重要意义

在扬子地台东南缘,下寒武统龙王庙阶清虚洞组主要由浅水碳酸盐岩组成。在野外露头剖面实测和室内镜下薄片观察的基础上,大量风暴沉积被发现于不同剖面清虚洞组的不同层位中,同时大量风暴诱发形成的沉积构造被识别出来,包括侵蚀基底、粗粒滞留沉积、粒序层理、平行层理、丘状交错层理(少见并且值得怀疑)以及沙纹层理,组成了多种类型的风暴沉积序列。结合更靠扬子东南缘的深水剖面中重力流沉积的缺乏,可以推断早寒武世龙王庙期扬子地台的沉积模式为碳酸盐缓坡。结合风暴的形成机制以及清虚洞组风暴沉积的发育特征(尤其是粗粒滞留砾屑的定向排列和典型丘状交错层理的缺乏),可以推断研究区风暴沉积形成于强烈的冬季风暴作用,并且早寒武世龙王庙期华南的古地理位置应当位于中纬度地区,这一结论对一些著名的全球古地理重建方案提出了质疑。同时中纬度地区大规模发育蒸发岩和碳酸盐岩还佐证了寒武纪地球处于热室(Hothouse)时期。     

Effect of loading duration on uncertainty in creep analysis of clay

Some studies suggest that creep parameters should be determined using a greater quantity of creep test data to provide more reliable prediction regarding the deformation of soft soils. This study aims to investigate the effect of loading duration on model updating. One‐dimensional consolidation data of intact Vanttila clay under different loading durations collected from the literature is used for demonstration. The Bayesian probabilistic method is used to identify all unknown parameters based on the consolidation data during the entire consolidation process, and their uncertainty can be quantified through the obtained posterior probability density functions. Additionally, the optimal models are also determined from among 9 model candidates. The analyses indicate that the optimal models can describe the creep behavior of intact soft soils under different loading durations, and the adopted method can evaluate the effect of loading duration on uncertainty in the creep analysis. The uncertainty of a specific model and its model parameters decreases as more creep data are involved in the updating process, and the updated models that use more creep data can better capture the deformation behavior of an intact sample. The proposed method can provide quantified uncertainty in the process of model updating and assist engineers to decide whether the creep test data are sufficient for the creep analysis.     

碳酸盐台地的类型、特征和沉积模式--兼论华北地台寒武纪陆表海-淹没台地的沉积样式

随着对现代碳酸盐沉积环境的系统调查和解释、以及对碳酸盐沉积原理认识的深化,自20世纪60年代,一系列碳酸盐沉积相模式得以建立,其中最引人注目的是Wilson和Tucker的工作。但在镶边陆棚及缓坡模式得到了广泛认可和使用的同时,对陆表海和淹没台地型沉积未能予以足够的重视。与过去相比,现今的海平面是相对较低的,因而没有出现陆表海广泛发育的情况。但在漫长的地质历史时期,陆表海曾经覆盖了广泛的克拉通区域,是碳酸盐沉积最重要的场所之一。本文在系统总结前人成果的基础上,将用于描述大尺度碳酸盐岩沉积环境的碳酸盐台地分为镶边陆棚、缓坡、陆表海、孤立台地和淹没台地5种类型分别描述,并重点强调了陆表海和淹没台地的沉积模式。华北地台寒武系大面积分布的潮坪沉积、鲕粒滩相灰岩和竹叶状风暴砾屑灰岩,以及频繁出现的台地淹没事件,为阐明陆表海和淹没台地的沉积提供了绝佳实例。这些实例和研究表明了碳酸盐沉积环境的多样性和沉积过程的复杂性,以及将今论古的困难性,从而为碳酸盐沉积原理的认识和沉积环境的解释提供新认识和新思路。     

克拉美丽山南缘西段盆山耦合机制

克拉美丽山位于准噶尔盆地东部,晚古生代克拉美丽洋盆向北俯冲消亡,西伯利亚板块与准噶尔地块在该地区发生碰撞造山。目前,就石炭纪之后克拉美丽山的构造活动存在持续挤压、拉分、伸展、挤压-伸展转换多种观点,构造样式也各不相同。本文应用断层相关褶皱理论,从盆山过渡带现今构造样式入手来探讨克拉美丽山南缘西段盆山耦合机制。研究结果表明,克拉美丽山西段在石炭纪之后经历了中二叠世早期、早三叠世早期、晚三叠世末期、晚侏罗世-早白垩世、晚白垩世早期和古新世末期6 次构造隆升。前4 期相对稳定沉积,晚白垩世早期,晚古生代地层沿着下二叠统底部的泥岩层滑脱面以叠瓦状构造楔样式向南楔入,构造缩短量大于15 km,现今盆山构造样式初步形成。始新世构造楔遭受后期突破断层改造。始新世后,克拉美丽山大规模的构造活动基本停止,地层遭受剥蚀最终形成现今地质结构。     

新疆奥尔托喀讷什锰矿含锰岩系地质特征及成矿条件分析

新疆阿克陶县奥尔托喀讷什地区锰矿在近年来取得重大找矿突破,目前该锰矿区已累计查明资源储量1206.74万吨,矿床平均品位37.82%。本文通过钻探、坑探和各类地质测量全面分析了奥尔托喀讷什地区的区域地质特征、赋矿地层及锰矿的矿床地质特征和成因。查明了区内地层层序,并确定上石炭统喀拉阿特河组第三岩性段（C2k3）是本区主要的含锰岩系,是锰矿体的主要赋存层位。探明了区内矿体的产出形态、规模、产状、矿石类型及结构构造,分析了区内锰矿形成的地质背景、成矿条件,并初步建立了奥尔托喀讷什锰矿的成矿模式,进而为该区找矿突破提供了理论支撑。     

甘肃省肃南县桦树沟铁铜矿床地质特征及成矿模式

甘肃北祁连西段桦树沟铁铜矿床是西北地区一个非常重要的铁铜矿床,对其地质特征及成矿模式的研究,将会对研究该成矿带铁铜矿床的成矿模式具有深远意义。通过大量的工作,认为桦树沟铁铜矿床为产于长城系上岩组的一套陆源碎屑岩夹碳酸沉积建造的同生海底喷流沉积矿床。铁矿体控矿构造主要是区域褶皱带,主要赋存于长城系上岩组的含铁细碎屑—粘土岩建造中,具体岩性为千枚岩。铜矿体的产出明显受后期韧性剪切带和层间滑动带共同控制,主要矿石类型有含铁碧玉岩型和蚀变千枚岩型两种。     

香龙山背斜几何学、运动学及成因机制

华南板块北侧大巴山构造带和内部雪峰山构造带的关系是华南板块陆内构造变形研究的重要内容。香龙山背斜位于大巴山构造带和雪峰山构造带之间,记录了两构造带相互复合、相互协调的重要信息。为研究香龙山背斜的几何学、运动学特征,分析其形成机制,本次研究利用香龙山地区最新的地震剖面,结合地质图分析、浅表地质剖面绘制等手段,取得了如下结论：1） 香龙山背斜为一短轴状背斜,背斜具有较为宽阔、平坦的顶部和较短的两翼,其西南侧发育构造鼻;2） 香龙山背斜的主要运动学模型为下部断层转折褶皱与上部构造楔复合的模型,其地层变形受到基底物质堆叠抬升的影响;3） 香龙山背斜形成于晚侏罗世-早白垩世,在古近纪遭受改造,这两个变形时期分别对应了香龙山背斜形成现今形态的两个阶段。香龙山背斜南北方向上缩短了11.4 km,缩短率为22.7%;4） 香龙山背斜是在雪峰山构造带北向挤压作用下,由来自大巴山构造带、雪峰山构造带的共同作用力形成的,后期改造作用可能受控于青藏高原了隆升对整个中国中、西部的影响。     

大数据环境下内蒙古浩布高地区铅锌多金属矿智能矿产预测研究

传统机器学习算法已广泛应用于矿产预测,但面对地质大数据的高维稀疏、不平衡小样本等特性仍缺乏有效处理和分析的方法,设计适合地质大数据特点的机器学习算法是智能矿产预测亟需解决的新问题。本文以内蒙古浩布高地区的铅锌多金属矿产预测为例,提出了一种面向地质大数据的半监督协同训练矿产预测模型。首先对研究区地质找矿信息和地球化学异常信息进行定量分析,提取断裂构造、二叠系地层、燕山期侵入岩、地层与岩体接触带、围岩蚀变及Pb、Zn、Sn、Cu地球化学异常共9种找矿因子。然后利用递归特征消除法优选找矿因子组合,不包括Sn异常在内的8个找矿因子组合被选为最优组合。最后,利用支持向量机和随机森林算法作为基分类器进行半监督协同训练矿产预测,绘制成矿概率分布图。ROC曲线和预测度曲线分析结果表明,半监督协同训练模型的AUC值和预测效率都高于随机森林和支持向量机模型。研究结果也为大数据环境下的智能矿产预测提供了一种新的思路。