不同改良剂对铜矿尾矿砂的改良效果研究

研究了用蒙脱石、稻草和鸡粪作为改良剂对铜矿尾矿砂有效养分、有效态重金属含量、pH值以及对尾矿砂上黑麦草生长的影响。结果表明 :(1 )蒙脱石可显著提高尾矿砂对铵态氮的保留能力 ;(2 )施肥可降低尾矿砂的pH值 ,施用鸡粪可使尾矿砂pH值下降约 1个单位 ,而添加蒙脱石和稻草对尾矿砂pH值未产生明显影响 ;(3 )添加蒙脱石可使尾矿砂中铜、锌的有效态含量降低 ,而添加稻草和鸡粪则使其有效态重金属含量增高 ;(4 )随改良剂添加量的增加 ,蒙脱石和鸡粪处理组黑麦草吸收铜、锌的量减少而稻草处理组则增加 ;(5 ) 3种改良剂可明显影响尾矿砂上黑麦草的生长状况     

Wind Tunnel Experiments and Numerical Simulation of Snow Drifting around an Avalanche Protecting Dam

To learn about wind flow and snow drifting around avalanche dams, experiments were done in the Jules Verne Climatic Wind Tunnel. The paper reports the results from numerical wind flow simulations that were done to support the findings from the wind tunnel. Satisfying the model similitude criteria for the wind tunnel configuration was difficult due to the inevitable small geometric scale of the model, while on the contrary the snow drifting conditions in the facilities were full scale. By comparing numerical wind flow results of full scale and model scale dams with the snow pattern observed in the wind tunnel, it was possible to conclude that albeit poor model similitude, the snowdrifts on the windward side of the wind tunnel model are likely to indicate the full scale natural situation.     

城市垃圾填埋场安全稳定性分析

垃圾填埋场是一类特殊工程，其安全稳定性一直是研究的热点和难点。本文借鉴成熟的工程力学思想，将分析山谷型垃圾填埋体的安全稳定性转化为分析垃圾坝稳定性。利用已知的稳定填埋场边坡有关性状，反算出垃圾土可能最小综合内摩擦角，利用这个参数来计算填埋体在三种典型状态下对垃圾坝产生的最大作用力，从而来判断垃圾坝的稳定性。探索了一套分析山谷型填埋场填埋体稳定性的方法并提出了两个公式，对于该类型垃圾填埋场建设具有指导作用。     

Development of an Earthen Dam Break Database

Earthen embankment dams comprise 85% of all major operational dams in the United States. Assessment of peak flow rates for these earthen dams and the impacts on dam failure are of high interest to engineers and planners. Regression analysis is a frequently used risk assessment approach for earthen dams. In this paper, we present a decision support tool for assessing the applicability of nine regression equations commonly used by practitioners. Using data from 108 case studies, six parameters were observed to be significant factors predicting for peak flow as a metric for risk analysis. We present our work on an expanded earthen dam break database that relates the regression equations and underlying data. A web application, regression selection tool, is also presented to assess the appropriateness of a given model for a given test point. This graphical display allows users to visualize how their data point compares with the data used for the regression equation. These contributions improve estimates and better inform decision makers regarding operational and safety decisions.     

基于BP神经网络和SVR的Fund?o尾矿坝排水数据预测对比研究

针对尾矿库运行过程中安全预警问题,选取2015年巴西Samarco铁矿溃坝事故案例,研究BP神经网络和SVR方法在排水数据预测的适用性。综合分析了排水数据的复杂且非线性的特点,以库水位、降雨量和干滩长度为输入特征,采用上述2个模型对尾矿坝排水数据进行预测。研究结果表明:基于BP神经网络预测结果的最大相对误差不高于4.35%;基于SVR算法的最大相对误差不高于9.21%;Fundo坝的排水预测结果是可行的,BP神经网络的预测精度更高,而SVR模型的运算速度更快。研究结果可为矿山安全工作的快速响应和溃坝预警提供信息支撑和参考依据。     

添加协效剂的灵石煤自燃阻化剂的研究

为了防止煤的自燃,采用双氧水氧化升温实验,对灵石肥煤在不同阻化剂下的阻化效果进行了研究。利用阻化时间变化率判定阻化效果。结果表明,添加氧化铝厂赤泥作为协效物质的协效阻化剂有效抑制了煤样的氧化升温,提高了阻化效果,阻化时间变化率达50.78%,为灵石肥煤最佳新型协效阻化剂。新型阻化剂原料廉价易得、反应条件温和、制备过程简单、环境友好,且实现了尾矿废渣的综合利用。     

深溪沟电站大坝强震监测系统设计及应用

强震监测是大坝安全监测的重要内容之一,强震监测成果对大坝的安全性和稳定性分析有重要作用。本文根据水电站枢纽工程实际对深溪沟水库大坝强震监测系统设计开展研究,并对仪器的性能指标和数据采集处理分析软件进行了全面阐述。通过深溪沟水电站建设大坝强震监测系统的运行实践,大坝强震监测系统可以在地震发生后短时间内自动获取强震动加速度记录,储存地震波数据,并显示大坝坝体各测点的地震反应过程。强震监测结果进一步验证了设计烈度,为判定震后大坝安全性提供了支持。     

MATHEMATICAL SIMULATIONS OF THE TOCCOA FALLS,GEORGIA, DAM-BREAK FLOOD1

ABSTRACT: Four dam-break models were selected for testing with an observed data set from the November 6, 1977, disaster at Toccoa Falls, Georgia. The Kelly Barnes Dam failure occurred with a 35-ft head of water and produced a peak discharge of 23,000 ft³/s. The selected models included: (1) Modified Puls (MP), (2) U. S. Army Corps of Engineers Gradually Varied Unsteady Flow Profiles (USTFLO), (3) National Weather Service's Dam-Break Flood Forecast (DBFF), and (4) U. S. Geological Survey's method of characteristics (MOC) coupled with a general purpose streamflow simulation (J879DB). Achieving a successful simulation was easiest with the MP model. The DBFF model required a moderate effort while the MOC-J879DB models required some data alterations and considerable effort. The USTFLO model failed to simulate this test case. In the stream segment near the dam, the computed peak stages were generally within 5 feet of the observed high water marks. Elsewhere, the peak stage results were much better, generally within 2 feet. The peak discharges computed by the models were generally within 20 percent of discharges estimated by slope area and contracted opening measurements, except near the dam where the MOC-J879DB model's results was 80 percent too high.     

CHANNEL CHANGES DOWNSTREAM FROM A DAM1

ABSTRACT: A flood-control dam was completed during 1979 on Bear Creek, a small tributary stream to the South Platte River in the Denver, Colorado, area. Before and after dam closure, repetitive surveys between 1977 and 1992 at five cross sections downstream of the dam documented changes in channel morphology. During this 15-year period, channel width increased slightly, but channel depth increased by more than 40 percent. Within the study reach, stream gradient decreased and median bed material sizes coarsened from sand in the pools and fine gravel on the rime to a median coarse gravel throughout the reach. The most striking visual change was from a sparse growth of streamside grasses to a dense growth of riparian woody vegetation.     

TWO-DIMENSIONAL DAM-BREAK FLOOD-FLOW ANALYSIS FOR ORANGE COUNTY RESERVOIR1

ABSTRACT: A two-dimensional dam-break model was used to predict the inundated area on an alluvial fan downslope from the Orange County Reservoir. The model is based upon a diffusion form of the continuity and momentum equations for long waves in shallow water, and the governing equation is solved by an explicit numerical scheme. In a comparison with a one-dimensional model, the two-dimensional model predicts a wider inundated area.