Physical characteristics of AFEX-pretreated and densified switchgrass,prairie cord grass,and corn stover

The goal of the study was to evaluate and compare the physical properties of control, pretreated and densified corn stover, switchgrass, and prairie cord grass samples. Ammonia Fiber Expansion (AFEX) pretreated switchgrass, corn stover, and prairie cord grass samples were densified by using the comPAKco device developed by Federal Machine Company of Fargo, ND. The densified biomass were referred as “PAKs” in this study. All feedstocks were ground into three different grind size of 2, 4 and 8 mm prior to AFEX pretreatment and the impact of grinding on pellet properties was studied. The results showed that the physical properties of AFEX-PAKed material were not influenced by the initial grind size of the feedstocks. The bulk density of the AFEX-PAKed biomass increased by 1.2–6 fold as compared to untreated and AFEX-pretreated materials. The durability of the AFEX-PAKed materials were between 78.25 and 95.2%, indicating that the AFEX-PAKed biomass can be transported easily. To understand the effect of storage on the physical properties of these materials, samples were stored in the ambient condition (20 ± 2 °C and 70 ± 5% relative humidity) for six months. After storage, thermal properties of the biomass did not change but glass transition temperature decreased. The water absorption index and water solubility index of AFEX-treated and AFEX-PAKed biomass showed mixed trends after storage. Moisture content decreased and durability increased upon storage.     

仙游抽水蓄能电站尾水系统充排水试验

为检查工程质量,查找输水系统可能存在的问题并消除隐患,保障电站安全运行,福建仙游抽水蓄能电站在投产发电前,要对输水发电系统进行充水试验与放空排水试验,在试验过程中监测输水系统的应力、应变与渗漏水情况。本文以尾水系统为例,介绍了试验所应具备的工程条件、工作程序及技术要求、试验成果分析和存在问题处理等。试验表明,仙游抽水蓄能电站尾水系统设计合理,施工质量优良,结构可靠,可供同类工程参考与借鉴。     

Improving the multi-objective evolutionary optimization algorithm for hydropower reservoir operations in the California Oroville–Thermalito complex

This study demonstrates the application of an improved Evolutionary optimization Algorithm (EA), titled Multi-Objective Complex Evolution Global Optimization Method with Principal Component Analysis and Crowding Distance Operator (MOSPD), for the hydropower reservoir operation of the Oroville–Thermalito Complex (OTC) – a crucial head-water resource for the California State Water Project (SWP). In the OTC's water-hydropower joint management study, the nonlinearity of hydropower generation and the reservoir's water elevation–storage relationship are explicitly formulated by polynomial function in order to closely match realistic situations and reduce linearization approximation errors. Comparison among different curve-fitting methods is conducted to understand the impact of the simplification of reservoir topography. In the optimization algorithm development, techniques of crowding distance and principal component analysis are implemented to improve the diversity and convergence of the optimal solutions towards and along the Pareto optimal set in the objective space. A comparative evaluation among the new algorithm MOSPD, the original Multi-Objective Complex Evolution Global Optimization Method (MOCOM), the Multi-Objective Differential Evolution method (MODE), the Multi-Objective Genetic Algorithm (MOGA), the Multi-Objective Simulated Annealing approach (MOSA), and the Multi-Objective Particle Swarm Optimization scheme (MOPSO) is conducted using the benchmark functions. The results show that best the MOSPD algorithm demonstrated the best and most consistent performance when compared with other algorithms on the test problems. The newly developed algorithm (MOSPD) is further applied to the OTC reservoir releasing problem during the snow melting season in 1998 (wet year), 2000 (normal year) and 2001 (dry year), in which the more spreading and converged non-dominated solutions of MOSPD provide decision makers with better operational alternatives for effectively and efficiently managing the OTC reservoirs in response to the different climates, especially drought, which has become more and more severe and frequent in California.     

寒冷地区高温干燥条件下混凝土面板裂缝控制

希尼尔水库位于新疆巴音郭楞蒙古族自治州境内，气候特点为高温、干燥、冬季寒冷。根据混凝土面板产生裂缝的原因，并结合工程区的气候特点，认为控制面板的塑性收缩、干缩与冷缩裂缝是防止裂缝产生的重点。通过采用高性能混凝土，合理的养护措施(微喷灌洒水技术)，有效地防止了裂缝的产生，保证了工程质量。     

繁峙县孤山水库帷幕灌浆工程施工

文中叙述了繁峙孤山水库险加固工程帷幕灌浆的施工方案选择、施工过程及工程的质量检查。     

横泉水库供水发电洞工程地质分析与评价

通过大量野外工程地质勘察与测试工作，在此基础上给出了横泉水库供水发电洞的工程地质分析与评价，从而使该水库的施工有了充分的理论依据。     

院基寺水库坝基渗漏分析及处理设计

对院基寺水库运行过程中出现的坝基渗漏现象进行了全面的描述,结合坝址工程地质和水文地质条件、施工情况及坝体结构,系统地分析了产生渗漏的原因及渗漏途径,并提出了防渗帷幕灌浆处理方案。灌浆试验、现场施工质量检查及实际观测成果证实,工程处理措施取得了良好的效果。     

洞庭湖流域某些水库,泉水和自然保护区环境水内的铀水平

一、前言 水库水,泉水,河水和大气降水等这些环境水与人类生活有着密切关系。水中天然放射性铀水平的研究因其化学毒性和放射性的双重危害是有实际意义的。洞庭湖流域处于我国亚热带湿润气候区,雨量充沛,矿产及水资源十分丰富。过去几年已对洞庭湖流域247000km~2湘、资、沅、澧各水系铀的水环境背景值,湘江的放射性水平和湘江流域大气降水中的痕量铀进行了研究。本文利用裂变径迹分析方法测定了洞庭湖流域的某些水库和泉水以及该     

钻井液完井液质量监控体系

经多年实践，中原油田建立了钻井过程中的钻井液完井液质量监控体系。讨论了钻井过程中钻井液完井液质量监控体系的控制指标及对有关指标的要求，对油气层保护工作措施和效果进行了分析。钻井过程中应进一步加强钻井液完井液质量监控措施，形成更加规范的监督、监测一体化队伍。     

Analytical, numerical and experimental investigations of transverse fracture propagation from horizontal wells

This paper presents results of a comprehensive study involving analytical, numerical and experimental investigations into transverse fracture propagation from horizontal wells. The propagation of transverse hydraulic fractures from horizontal wells is simulated and investigated in the laboratory using carefully designed experimental setups. Closed-form analytical theories for Mode I (opening) stress intensity factors for idealized fracture geometries are reviewed, and a boundary element-based model is used herein to investigate non-planar propagation of fractures. Using the mixed mode fracture propagation criterion of the model, a reasonable agreement is found with respect to fracture geometry, net fracture pressures and fracture propagation paths between the modeled fractures and the laboratory tested fractures. These results suggest that the propagation of multiple fractures requires higher net pressures than a single fracture, the underlying reason of which is theoretically justified on the basis of local stress distribution.