加卸载作用下裂隙岩芯渗透性变化规律研究

针对光滑平行板裂隙加载渗流规律难以准确反映实际工程裂隙岩体卸荷渗流特性的问题,利用水力压裂方法制作了天然岩芯裂隙,开展了裂隙试件受轴压、围压加载和卸载作用的渗流试验,并将裂隙试件的CT扫描图像导入ABAQUS软件,对粗糙裂隙受载时的应力和变形规律进行了数值模拟。结果表明:裂隙面的法向应力是影响裂隙渗流的主要因素;在加载阶段,粗糙裂隙面受载产生接触应力致使接触部分产生变形和破坏,裂隙接触刚度增大,裂隙宽度非线性减小,渗透率降低速率越来越小;在卸载阶段,弹性变形逐步恢复,裂隙宽度缓慢增加,渗透率先缓慢增大,当载荷卸到一定值后,在孔隙压力作用下裂隙张开、渗透率突然增大。研究结果表明了粗糙裂隙与光滑平行板裂隙对载荷敏感性不同的机理,反映了实际工程裂隙岩体卸荷渗流特性。     

基于FLAC3D的复合煤岩受载破裂数值模拟及试验研究

采用FLAC~(3D)对复合煤岩模型的单轴压缩破裂进行数值模拟及试验,研究复合煤岩受载破裂应力与应变关系变化规律。针对煤样厚度、复合煤岩组合比、煤层参数、顶底板岩性等参数,对复合煤岩模型进行加载仿真研究,仿真及试验结果表明:单一煤样模型随着高度的减小,应力应变曲线整体阶段存在尺寸效应;改变煤岩组合比例时,其抗压强度基本不变,随煤样比例增大,复合煤岩的整体弹性模量减小,整体刚度减小;单一改变复合煤岩的煤样参数时,随煤样弹性模量增大,复合煤岩的弹性模量越强,应力应变曲线峰值点越高,对应应变越小;单一改变顶底板岩性,对复合煤岩模型的应力应变曲线影响不大。试验结果和仿真结果变化趋势一致,表明所建模型具有一定正确性和适用性。     

稀释度参数法在恶臭环境影响评价预测中的初探

创建一种可直接依据“臭气浓度”源强、较易预测操作的“稀释度参数法”,对目前在恶臭环境影响评价预测中普遍采用的“臭气强度法”及“类比法”进行补充。以具体案例对“稀释度参数法”预测结果与现状监测结果进行对比,经对比分析,“稀释度参数法”可客观反映现实情况。     

锑矿区酸性岩排水产生潜力预测研究

酸性岩排水(ARD)潜力预测研究对于预防、控制和治理金属矿山环境污染问题具有重要意义。本文应用酸碱估算法(ABA)和净产酸测试法(NAG),对贵州独山半坡锑矿区的19个代表性样品进行了产酸潜力评价,并应用各种分类标准对样品进行产酸能力分类。研究结果表明,所有的(废)矿石样品都具有产酸潜力(PAF),需要对(废)矿石进行有效的防控,以阻止酸性岩排水的产生。围岩样品的产酸潜力取决于采样点,尾矿样品没有产酸潜力(NAF)。ABA和NAG测试结果表明NAPP和NAGpH分类评价法适用于本研究区内样品ARD的预测评估。     

盐酸掺杂聚苯胺粉体表面包覆合金镀层电磁参数研究

盐酸掺杂聚苯胺粉体作为电损耗吸波材料,存在磁损耗差的特点,吸波频带较窄。采用了化学镀的方法在盐酸掺杂聚苯胺粉体表面包覆磁性合金镀层,研究镀后粉体电磁参数的变化。实验结果表明,镀后粉体与原始粉体相比,磁性能有明显改善,但可能镀覆处理过程中粉体掺杂结构遭到破坏,镀后粉体电性能明显减弱。     

基于Monte-Carlo法的瑶寨隧道岩体结构性质评价

本文以瑶寨隧道为研究对象,结合现场地质分析与结构面统计,以Monte-Carlo法为基础,对该隧道各测线不同等级围岩分别进行结构面网络模拟,评价遂道岩体的结构性质,并进行工程岩体分类,估算其力学参数,以为采取合适的围岩支护方式提供依据。     

Development and application of a two-dimensional water quality model for the Daqinghe River Mouth of the Dianchi Lake

Water quality models are important tools to support the optimization of aquatic ecosystem rehabilitation programs and assess their efficiency. Basing on the flow conditions of the Daqinghe River Mouth of the Dianchi Lake, China, two-dimensional water quality model was developed in the research. The hydrodynamics module was numerically solved by the alternating direction iteration (ADI) method. The parameters of the water quality module were obtained through the in situ experiments and the lab analyses that were conducted from 2006 to 2007. The model was calibrated and verified by the observation data in 2007. Among the four modelled key variables that were water level, CODcr, NH3-N and PO4-P, the minimum value of the coefficient of determination (CoD) was 0.69, which mean the model performed reasonably well. The developed model was then applied to simulate the water quality changes at the downstream cross-section assuming that the designed restoration programs were implemented. According to the simulated results, the restoration programs could cut down the loads of CODcr and PO4-P about 15%, however, they would have very little effect on the NH3-N removal. Besides, the water quality at the outlet cross-section would be still in class V (3838-02), indicating more measures should be taken to further reduce the loads. The study demonstrated the capability of water quality models to support aquatic ecosystem restorations.     

低分子量有机酸对岩源磷释放的实验研究

低分子量有机酸是微生物和植物根系分泌物中重要的组成部分.采用浸泡实验比较了4种常见低分子量有机酸(草酸、酒石酸、柠檬酸、苹果酸)对巢湖北岸东部富磷地层中岩源磷的释放量,并对浸提后的部分残渣进行磷的赋存形态分析.结果表明,当有机酸浓度小于5mmol·L-1时,柠檬酸的释磷量最大;大于5mmol·L-1时,草酸和酒石酸的释磷量最大,此时释磷量与有机酸的浓度具有一定的线性关系,其增加趋势远大于浓度小于5mmol·L-1时的增加趋势,而其中草酸和酒石酸又远大于柠檬酸和苹果酸.在有机酸溶液终止pH≥4时,有机酸溶液终止pH与释磷量有较好的线性关系.在50mmol·L-1相同浓度时,草酸对各赋存形态磷转化作用均最大,酒石酸次之.而4种酸对有机磷释放率最大,均高达97%以上,对闭蓄态磷的释放率最小.     

基于仿真的新建污水处理厂工艺参数调试

基于ASM2D模型建立了上海某新建污水厂倒置AAO流程的数学模型,并采用该厂进、出水设计数据对模型进行校正,其中,ASM2D各组分浓度分布参考文献值.同时,通过仿真计算研究了不同温度下进水流量、污泥回流比、混合液回流比及进水流量分配比对出水总化学需氧量（TCOD）、氨氮（SNH3）、总氮（TN）、总磷（TP）及总悬浮颗粒物（TSS）的影响.结果表明,研究获得的定性和定量两方面结果可供该厂在工艺参数调试中作参考.计算机仿真技术在新建污水厂工艺参数调试中的应用可以减少调试时间,降低调试费用,取得良好的经济效益与环境效益.     

Investigating factors affecting severity of large truck-involved crashes: Comparison of the SVM and random parameter logit model

Introduction: Reducing the severity of crashes is a top priority for safety researchers due to its impact on saving human lives. Because of safety concerns posed by large trucks and the high rate of fatal large truck-involved crashes, an exploration into large truck-involved crashes could help determine factors that are influential in crash severity. The current study focuses on large truck-involved crashes to predict influencing factors on crash injury severity. Method: Two techniques have been utilized: Random Parameter Binary Logit (RPBL) and Support Vector Machine (SVM). Models have been developed to estimate: (1) multivehicle (MV) truck-involved crashes, in which large truck drivers are at fault, (2) MV track-involved crashes, in which large truck drivers are not at fault and (3) and single-vehicle (SV) large truck crashes. Results: Fatigue and deviation to the left were found as the most important contributing factors that lead to fatal crashes when the large truck-driver is at fault. Outcomes show that there are differences among significant factors between RPBL and SVM. For instance, unsafe lane-changing was significant in all three categories in RPBL, but only SV large truck crashes in SVM. Conclusions: The outcomes showed the importance of the complementary approaches to incorporate both parametric RPBL and non-parametric SVM to identify the main contributing factors affecting the severity of large truck-involved crashes. Also, the results highlighted the importance of categorization based on the at-fault party. Practical Applications: Unrealistic schedules and expectations of trucking companies can cause excessive stress for the large truck drivers, which could leads to further neglect of their fatigue. Enacting and enforcing comprehensive regulations regarding large truck drivers’ working schedules and direct and constant surveillance by authorities would significantly decrease large truck-involved crashes.