糯扎渡大坝石料加工系统设备安装

糯扎渡大坝石料加工系统生产的反滤料及掺砾石料是填筑大坝的主要原料之一,按时备足料是大坝正常施工的重要保证.因系统的土建施工滞后,推迟了金属结构及设备的开工时间,使安装时段处于高温多雨季节,施工条件恶劣,增加了安装难度;同时由于系统竣工节点时间不变,缩短了安装工期.为保证系统按时正常投产,主要采取了扩大单元法、平行作业法和整机吊装法施工,尽可能地将高空作业变为地面作业,单一流水作业变为多项平行流水作业,解决了形位尺寸难测量、安装错位难校正、施工人员难操作、资源利用不充分等问题.既提高了安装质量和效率,又提高了安全保障系数,使系统提前15 d完成安装、调试和投产.从施工组织、方法程序、质量控制要点等方面,阐述该系统安装的重点,对类似工程具有一定的指导意义.     

Enhancing Inflow Forecasting Model at Aswan High Dam Utilizing Radial Basis Neural Network and Upstream Monitoring Stations Measurements

The Nile River is considered the main life artery for so many African countries especially Egypt. Therefore, it is of the essence to preserve its water and utilize it very efficiently. Developing inflow-forecasting model is considered the technical way to effectively achieve such preservation. The hydrological system of the Nile River under consideration has several dams and barrages that are equipped with control gates. The improvement of these hydraulic structures’ criteria for operation can be assessed if reliable forecasts of inflows to the reservoir are available. Recently, the authors developed a forecasting model for the natural inflow at Aswan High Dam (AHD) based on Artificial Intelligence (AI). This model was developed based on the historical inflow data of the AHD and successfully provided accurate inflow forecasts with error less than 10%. However, having several forecasting models based on different types of data increase the level of confidences of the water resources planners and AHD operators. In this study, two forecasting model approach based on Radial Basis Function Neural Network (RBFNN) method for the natural inflow at AHD utilizing the stream flow data of the monitoring stations upstream the AHD is developed. Natural inflow data collected over the last 30 years at four monitoring stations upstream AHD were used to develop the model and examine its performance. Inclusive data analysis through examining cross-correlation sequences, water traveling time, and physical characteristics of the stream flow data have been developed to help reach the most suitable RBFNN model architecture. The Forecasting Error (FE) value of the error and the distribution of the error are the two statistical performance indices used to evaluate the model accuracy. In addition, comprehensive comparison analysis is carried out to evaluate the performance of the proposed model over those recently developed for forecasting the inflow at AHD. The results of the current study showed that the proposed model improved the forecasting accuracy by 50% for the low inflow season, while keep the forecasting accuracy in the same range for the high inflow season.     

清江水布垭库岸木竹坪滑坡失稳探讨

木竹坪滑坡发生于2007年5月10日,总方量约800万m 3,是水布垭库岸的重大滑坡灾害之一。根据实地调查资料,阐述了滑坡区基本地质条件及滑坡基本地质地貌特征。结合滑坡稳定性计算分析了滑坡的成因机制,认为木竹坪滑坡的发生是内外因共同作用的结果。坡体前缘受清江支流的弧形切割,为滑坡提供了临空条件,而薄层灰岩及第四系坡积物又为易发生滑坡的地层岩性条件。在内部条件具备的前提下,滑坡发生前的连续降雨及水库蓄水均使得坡体物质的力学强度降低,故引发了大规模的滑坡失稳。     

飞来峡水利枢纽大坝安全监测自动化系统及其升级完善设想

介绍飞来峡水利枢纽大坝安全监测自动化系统的组成情况,并根据运行以来所面临的新问题加以总结,提出认为必要和可行的升级完善设想。     

新奥法在百色水利枢纽导流洞设计和施工中的应用

新奥法是新奥地利隧洞施工方法的简称,也是近几十年地下工程设计和施工的新理论和新技术,它从根本上破除了岩石的散粒理论,充分考虑了围岩的自身承载能力。百色水利枢纽导流洞设计和施工中引进了这一先进理论和技术,而且创造性地把新奥法应用到软岩的地下工程,是对新奥法理论和技术的创新和发展。     

山西省汾河二库枢纽工程建设简介

本文较系统地介绍汾河二库枢纽工程建设的基本情况，并就工程采用的新技术、新工艺、新设备、新材料以及工程建设的主要经济和教训作了简要分析和介绍。     

观音岩水电站右岸大坝首次基础固结灌浆生产性试验成果分析及建议

观音岩水电站右岸混凝土坝段坝基地质条件复杂,通过固结灌浆生产性试验,确定合理的施工参数和施工工艺措施,验证设计指标的合理性。本文对此加以介绍。     

水布垭水电站发电机下导轴承甩油问题处置

借鉴国内其他水电站的经验,提出了解决水布垭电站发电机下导轴承甩油问题的建议。     

水布垭水电站尾水洞下段施工

水布垭水电站尾水隧洞穿过V类岩层,有许多剪切裂缝沿隧洞纵向贯穿洞顶,施工中可能出现坍方。对解决此困难的经验加以总结。     

水布垭面板坝实测沉降分析与土石坝沉降统计预报模型

本文对水布垭面板坝实测沉降进行整理分析,大坝变形监测仪器工作正常,坝体实测沉降分布规律合理,最大沉降为已填筑坝高的1%,推算填筑堆石体垂直压缩模量达100MPa,坝体填筑质量良好.本文考虑土石料变形的影响因素及材料流变特性,应用统计回归方法建立耦合的指数型坝体沉降统计预报模型,与实测数据拟合很好,预测大坝竣工5年后的沉降略有增加.