Use of clay as a pozzolona in high strength Portland cement and its thermal activation

In this investigation local clay from Cherat mines, Nowshera District, NWFP, Pakistan, has been tested as a pozzolanic material in high strength Portland cement. Thermal treatments were performed as a means of activation of the clay. It was found that thermal treatment of the clay can increase its pozzolanic activity. Different blended mortars, containing different amounts of clay, activated at different temperatures were studied for compressive strength, consistency, and setting times. It was concluded that the mechanical properties of the blended cements were mainly governed by the percentage of incorporation of the calcined clay. Blended cement composition has been formulated, with optimal results of 20% calcined clay at a temperature of 600℃.     

杭州黄龙饭店支腿式地下连续墙施工技术探讨

支腿式地下连续墙在杭州地区工程中首次运用。结合实际工程实践,就支腿式地下连续墙的技术要点进行介绍,通过跟踪分析实际施工过程,简单介绍整个工艺流程和确保支腿式地下连续墙的施工质量、保证地下室开挖深度及基坑安全性、稳定性的技术措施。展望支腿式地下连续墙推广应用前景。     

地下洞室黏弹性位移反分析模式分层运算

在洞室黏弹性位移参数反分析中,对分层优化方法存在初始值选取困难、计算量大等问题进行了探讨,提出了基于最小二乘法的模式分层运算方法,改变参数求解机制,避免了由于初始值选取不当造成迭代不收敛的现象,加强了求解搜索的有效性,提高解的精度和稳定性,通过工程实例进行验证。数值计算结果表明,模式分层运算对洞室黏弹性多参数位移反分析计算的结果真实、可靠。     

降水效果的数值分析和设计优化研究

降水在各类工程中使用的越来越多,已形成了一套设计和施工方法,但其降水效果分析却少有人研究。针对某露天煤矿开挖中的降水疏干工程,开展了大规模的数值模拟研究。在掌握水文地质条件的基础上,通过Modflow建立了较合理的数值模型,对不同工况的降水效果进行了详细的分析,实际计算表明,加井时间、调整单井抽水量、井的数目、井的排列以及它们的相互作用对降水效果有很大影响。分批次、分时段、优化井排列和调整单井抽水量是提高降水效果的设计措施和优化设计的重要影响因素,这些因素的作用规律将为降水设计和施工以及实际工程效果提供重要理论依据。     

Effects of bottleneck blockage on the resilience of an urban stormwater drainage system

ABSTRACT

Severe urban floods have frequently caused social and financial infrastructure problems due to a lack of hydraulic capacity of urban drainage systems or the structural failure of network elements. Conventional, reliability-based design methods of drainage networks only provide acceptable performance under expected conditions of loading. In this study, a new approach based on resilience is proposed for the rehabilitation of urban drainage systems; this approach is able to maintain a predefined service level under both external and unexpected internal loads, including different scenarios of blockage and a severe rainfall event. The performance of different design methods: resilient, non-resilient, deterministic and uncertain models, is comprehensively compared and the most appropriate approaches are introduced. The results show that the new resilient approach outperforms conventional design/rehabilitation methods in terms of flood volume reduction. Additionally, the single blockage scheme and the Poisson distribution-based model show the best performance to enhance the resilience of the network.     

Are modern metaheuristics successful in calibrating simple conceptual rainfall–runoff models?

In recent years sampling approaches have been used more widely than optimization algorithms to find parameters of conceptual rainfall–runoff models, but the difficulty of calibration of such models remains in dispute. The problem of finding a set of optimal parameters for conceptual rainfall–runoff models is interpreted differently in various studies, ranging from simple to relatively complex and difficult. In many papers, it is claimed that novel calibration approaches, so-called metaheuristics, outperform the older ones when applied to this task, but contradictory opinions are also plentiful. The present study aims at calibration of two simple lumped conceptual hydrological models, HBV and GR4J, by means of a large number of metaheuristic algorithms. The tests are performed on four catchments located in regions with relatively similar climatic conditions, but on different continents. The comparison shows that, although parameters found may somehow differ, the performance criteria achieved with simple lumped models calibrated by various metaheuristics are very similar and differences are insignificant from the hydrological point of view. However, occasionally some algorithms find slightly better solutions than those found by the vast majority of methods. This means that the problem of calibration of simple lumped HBV or GR4J models may be deceptive from the optimization perspective, as the vast majority of algorithms that follow a common evolutionary principle of survival of the fittest lead to sub-optimal solutions.     

Hydrological system analysis and modelling of the Kara River basin (West Africa) using a lumped metric conceptual model

This paper discusses the analysis and modelling of the hydrological system of the basin of the Kara River, a transboundary river in Togo and Benin, as a necessary step towards sustainable water resources management. The methodological approach integrates the use of discharge parameters, flow duration curves and the lumped conceptual model IHACRES. A Sobol sensitivity analysis is performed and the model is calibrated by applying the shuffled complex evolution algorithm. Results show that discharge generation in three nested catchments of the basin is affected by landscape physical characteristics. The IHACRES model adequately simulates the rainfall–runoff dynamics in the basin with a mean modified Nash-Sutcliffe efficiency measure of 0.6. Modelling results indicate that parameters controlling rainfall transformation to effective rainfall are more sensitive than those routing the streamflow. This study provides insights into understanding the catchment’s hydrological system. Nevertheless, further investigations are required to better understand detailed runoff generation processes.

EDITOR M.C. Acreman; ASSOCIATE EDITOR N Verhoest     

裂缝智能检测技术研究及其在埕岛潜山的应用

断裂(裂缝)对油气藏既有破坏又有保存作用。胜利埕岛奥陶系潜山油藏受裂缝控制,非均质性强,勘探目标预测难度大。本文以地震边缘检测为先验信息和启发因子,在自适应地震相干数据体上进行蚂蚁体追踪,精细检测裂缝,弥补了单一相干体检测分辨低的缺陷,获得了与钻井和实际地下情况吻合度更高的裂缝检测结果。对该区的油气勘探起到了指导作用。     

基于粒子群优化神经网络算法的深基坑变形预测方法

深基坑变形预测是进行施工参数调整和确保深基坑施工安全的重要手段,而如何对其变形进行有效、准确的预测是一个有待解决的技术难题。采用粒子群优化算法对神经网络模型的初始权值和阈值进行优化,并将已有的变形监测数据作为神经网络的输入参数,建立了基于粒子群优化神经网络算法的深基坑变形预测方法。将形成的方法应用于长春市火车站北广场深基坑开挖监测工程中。结果表明：8号水平位移测点预测结果的均方根误差为3.78%,平均百分比误差为5.48%;9号地面沉降点预测结果的均方根误差为5.62%,平均百分比误差为3.23%。经验证,本文方法预测深基坑开挖过程中的变形具有较高的可信度。     

辽西中生代燕鸟化石新材料的补充研究

本文记述了一件产自辽宁锦州义县早白垩世九佛堂组燕鸟 (Yanornis)化石的新标本。研究标本不但自身保存非常精美 ,而且其嘴里还完整地保存了它捕获的最后一件猎物——吉南鱼 (Jinanichthys longi-cephalus)。该标本的研究 ,不仅对燕鸟的生存环境、生活习性、捕食类型等研究提供了直接的证据 ,而且对于探讨辽西热河生物群中脊椎动物的“集群死亡”的原因也具有重要的意义