喀斯特坡地地表径流系数监测初报

通过对喀斯特坡地6种不同土地利用条件下径流小区的地表径流和植被穿透雨量以及地下水出口水位变化进行野外定点连续观测研究,结果表明,6个径流小区地表径流系数均非常小,介于0.01%~12.81%。显然,喀斯特坡地的地表径流易于入渗转化为地下径流。受人为活动影响较大的径流小区,地表径流系数随降雨量的变化呈指数函数型变化特征,容易产生地表径流系数的突变式增长。     

上游式筑坝法尾矿坝的安全系数随堆筑坝高变化分析

对于投资较少的上游式尾矿筑坝法而言,在实际的堆积施工过程中,由于很难严格按照设计的坡比进行每一级子坝的堆筑,导致矿方无法及时、真正掌握当前尾矿坝的受力性能和稳定状态。因此,针对某典型尾矿坝剖面,采用迈达斯商业软件试用版对尾矿坝的堆积过程进行了模拟分析,利用强度折减有限元方法对施工当前状态的尾矿坝进行了边坡稳定分析,得到了当前状态尾矿坝的塑性剪应变云图和相对应的抗滑稳定安全系数。比较了尾矿坝安全系数随着子坝堆筑的变化情况,结果发现：随着堆积子坝的进行,尾矿坝的整体抗滑稳定系数逐渐减小,此外在初期坝和一级子坝的下游坡脚处容易出现相对较大的变形。此研究结果为矿部管理部门及时了解尾矿坝的稳定程度和实际生产提供了技术支持。     

Estimating influence of stocking regimes on livestock grazing distributions

Livestock often concentrate grazing in particular regions of landscapes while partly or wholly avoiding other regions. Dispersing livestock from the heavily grazed regions is a central challenge in grazing land management. Position data gathered from GPS-collared livestock hold potential for increasing knowledge of factors driving livestock aggregation patterns, but advances in gathering the data have outpaced advancements in analyzing and learning from it. We fit a hierarchical seemingly unrelated regression (SUR) model to explore how season of stocking and the location where cattle entered a pasture influenced grazing distributions. Stocking alternated between summer on one side of the pasture one year and fall on another side of the pasture the next year for 18 years. Waypoints were recorded on cattle for 50 d each year. We focused our analysis on the pasture's 10 most heavily grazed 4-ha units, because these units were the most prone to negative grazing impacts. Though grazing of the study units was always disproportionately heavy, it was much heavier with the summer than fall stocking regime: Bayesian confidence intervals indicate summer grazing of study units was approximately double the average fall grazing value. This is our core result, and it illustrates the strong effect stocking season or date or both can have on grazing distributions. We fit three additional models to explore the relative importance of stocking season versus location. According to this analysis, stocking season played a role, but stocking location was the main driver. Ostensibly minor factors (e.g. stocking location) can greatly influence livestock distributions.     

堆积体边坡渐进性破坏的随机模型

为精确模拟堆积体边坡变形破坏过程,根据堆积体所固有的非连续性、非均质性、各向异性等特点,以及边坡变形破坏的渐进性特征,采用改进的有限单元法(FEM)对堆积体边坡进行模拟。考虑堆积体边坡从连续位移函数到不连续位移函数的突变。破裂发生前,用连续位移函数进行计算;破裂发生后,引入不连续位移函数。研究结果表明,破裂面上不同点的安全系数(FOS)是不同的,但都随着破坏过程而降低。同时,可以得出不同非均匀程度下安全系数的概率分布。     

纵向通风下坡度隧道火灾烟气特性数值模拟研究

为探讨纵向通风情况下坡度隧道火灾烟气的温度分布、回流长度等特性参数,运用火灾动力学模拟软件FDS建立一个长为500 m的公路隧道模型,对不同坡度、不同纵向通风速率的20组火灾工况进行模拟研究,通过分析各工况的模拟结果,并结合前人在隧道火灾烟气特性研究方面的成果,得到火灾情况下隧道内烟气的纵向温度分布规律、隧道拱顶温度变化规律、温度偏移及烟气回流长度变化规律等。     

高速铁路黄土路堑边坡变形的动力数值分析

以郑西高速铁路客运专线路堑段铁路黄土边坡工程实例为背景,经过适当简化处理,利用数值模拟软件FLAC建立了轨道-路基-黄土边坡系统动力分析计算模型,并对不同列车运行速度下黄土边坡的扰动程度及边坡稳定性进行了分析。结果表明,黄土边坡的扰动程度随列车运行速度的增大而增大,稳定性随列车速度的增大而减小。     

乌鞘岭南、北坡降水稳定同位素特征及水汽来源对比

为了揭示季风边缘区降水中稳定同位素特征及水汽来源,利用2016年10月至2017年10月采集的97个降水样品,采用相关分析和HYSPLIT模型,对乌鞘岭南、北坡降水稳定同位素的特征、大气水线方程、温度和降水量效应、水汽来源进行了对比分析.结果表明,南坡大气降水线的斜率与截距低于全球大气水线(GMWL)和北坡大气降水线;南、北坡的同位素温度效应和季节效应明显,但北坡的温度效应比南坡更为明显;除北坡夏季和南坡降水量小于5 mm时降水稳定同位素表现出微弱的降水量效应,南、北坡其它季节或其它降水量级均无明显的降水量效应;来自西北和北方的水汽占90%以上,北坡受季风水汽影响极少,南坡夏季会受到东南季风影响,局地水汽再循环对乌鞘岭南、北坡水汽也有贡献.本研究可提高对高寒山区降水同位素演化的认知,为寒旱区同位素水文学的进一步研究奠定基础.     

城市地下道路V形区段坡度构成对烟气扩散和重点排烟效果的影响研究*

为了研究城市地下道路V形区段坡度构成对烟气扩散和重点排烟效果的影响,采用数值模拟手段,对V形区段内变坡点两侧不同坡度构成、排烟口的开启方式对烟气扩散和重点排烟效率的影响进行研究。研究结果表明:对于对称V形区段,采用重点排烟控制烟气相对容易,但对降低排烟道下方顶棚最高温度作用有限;针对非对称V形区段,烟气的自由扩散特性与变坡点两侧坡度差有关,增加大坡度侧的排烟口数量可以提高排烟效率,但要将烟气有效地控制在较小的范围内相对困难。实际运行中,应结合坡度的实际构成和烟气控制总目标,制定相应的排烟口开启策略。     

基于粗糙集理想解高陡边坡稳定性模糊评价*

为评价山区公路沿线高陡边坡稳定性,保障道路行车安全,基于代数表示的粗糙集理论和条件信息熵表示的粗糙集理论,结合理想解的思想重新定义各属性重要度的确定方式,提出新的适用于山区高陡边坡的权重确定方法,并建立高陡边坡稳定性评价体系,基于模糊理论以某高速公路高陡边坡工程为研究背景,建立山区高陡边坡模糊稳定性评价模型,对边坡稳定性进行评价。研究结果表明:隶属度最大值为0.397,对应边坡稳定状态为“极不稳定”,与实际情况基本一致,验证该权重方法客观、准确,为更好评判山区公路沿线高陡边坡稳定性提出新的方法。     

Driver Injury Risk Variability in Finite Element Reconstructions of Crash Injury Research and Engineering Network (CIREN) Frontal Motor Vehicle Crashes

Objective: A 3-phase real-world motor vehicle crash (MVC) reconstruction method was developed to analyze injury variability as a function of precrash occupant position for 2 full-frontal Crash Injury Research and Engineering Network (CIREN) cases.

Method: Phase I: A finite element (FE) simplified vehicle model (SVM) was developed and tuned to mimic the frontal crash characteristics of the CIREN case vehicle (Camry or Cobalt) using frontal New Car Assessment Program (NCAP) crash test data. Phase II: The Toyota HUman Model for Safety (THUMS) v4.01 was positioned in 120 precrash configurations per case within the SVM. Five occupant positioning variables were varied using a Latin hypercube design of experiments: seat track position, seat back angle, D-ring height, steering column angle, and steering column telescoping position. An additional baseline simulation was performed that aimed to match the precrash occupant position documented in CIREN for each case. Phase III: FE simulations were then performed using kinematic boundary conditions from each vehicle's event data recorder (EDR). HIC15, combined thoracic index (CTI), femur forces, and strain-based injury metrics in the lung and lumbar vertebrae were evaluated to predict injury.

Results: Tuning the SVM to specific vehicle models resulted in close matches between simulated and test injury metric data, allowing the tuned SVM to be used in each case reconstruction with EDR-derived boundary conditions. Simulations with the most rearward seats and reclined seat backs had the greatest HIC15, head injury risk, CTI, and chest injury risk. Calculated injury risks for the head, chest, and femur closely correlated to the CIREN occupant injury patterns. CTI in the Camry case yielded a 54% probability of Abbreviated Injury Scale (AIS) 2+ chest injury in the baseline case simulation and ranged from 34 to 88% (mean = 61%) risk in the least and most dangerous occupant positions. The greater than 50% probability was consistent with the case occupant's AIS 2 hemomediastinum. Stress-based metrics were used to predict injury to the lower leg of the Camry case occupant. The regional-level injury metrics evaluated for the Cobalt case occupant indicated a low risk of injury; however, strain-based injury metrics better predicted pulmonary contusion. Approximately 49% of the Cobalt occupant's left lung was contused, though the baseline simulation predicted 40.5% of the lung to be injured.

Conclusions: A method to compute injury metrics and risks as functions of precrash occupant position was developed and applied to 2 CIREN MVC FE reconstructions. The reconstruction process allows for quantification of the sensitivity and uncertainty of the injury risk predictions based on occupant position to further understand important factors that lead to more severe MVC injuries.