啤酒厂污染治理措施及综合效益

本文详细介绍了燕京啤酒(桂林漓泉公司)股份有限公司年产50万吨啤酒厂环境污染治理措施,实施清洁生产和循环经济工程,建立工业旅游经验,并对其综合经济效益进行了分析,这将对同类啤酒厂的环境污染治理具有示范推动作用。     

武广客运专线桥梁承台大体积混凝土施工技术

研究目的:为了预防客运专线桥梁桩基承台大体积混凝土因为温度等原因产生裂缝,从材料选用、浇筑方式、测温控制、养护等方面对大体积混凝土承台施工提出一整套控制方案。研究结果:通过对混凝土内部温度进行理论预测和现场实际监测以及施工后承台的实体质量,说明采用本技术能有效地控制温度裂缝。     

图像分割在工件图像视觉检测中的应用

在介绍图像分割的主要特征的基础上,分析了目前几种典型图像分割方法。针对工件图像视觉检测中图像分割特点,提出了将边缘检测和域值分割方法相结合来分割工件图像的一种新方法,并开发了相应的软件。实验验证该方法用于工件图像测量,能很好消除图像噪声,得到连续的图像边界,并且定位较准,可以有效地提高检测系统的精度。     

关于大中型工民建工程EPC总承包报价的几点看法

根据目前EPC总承包市场的发展要求,结合工民建工程EPC总承包报价的特点和重要性,论述造价工程师如何做好EPC报价工作,对其它工程项目的EPC总承包报价也有一定借鉴作用。     

Outlier Rejecting Multirate Model for State Estimation

IntroductionMeasured data is often contaminated by noisein state estimation.Kalman filter is a powerfultool for signal extracting.It is especially efficientin estimating spatially inhomogeneous signal whenthe noise is Gaussian.Due to process noise or non-stationary environment,the measured data is usu-ally corrupted by outliers.The performance is de-graded seriously.Generally,there are two kinds ofapproaches to handle this problem.Outlier can bedetected based on renovation[1],then be replace…     

底部薄板附近的水流及泥沙运动特性

通过水槽实验探讨了在饱和来沙条件下底部薄板附近的水流、泥沙运动特性,包括不同薄板高度、与水流不同夹角的安装方向等情况下,单个底部薄板附近的水流结构、泥沙运动规律、底部薄板的导沙特性及其附近的冲淤现象,以及底部薄板群体的导沙特性。试验结果表明,实验使用的薄板的长度对实验结果影响很大,过短的薄板实验根本观察不到薄板前冲刷沟内的沙波运动,而该沙波运动严重影响薄板的导沙效应。底部薄板附近的水流结构具有强烈的三维特性,流场复杂,对于一定的薄板,水流夹角、沙波的运动是影响薄板的导流导沙促淤的主要因素。     

城区老桥改造探索 ——暨天津开发区新港桥改造项目研究

首先介绍既有新港桥改造的概况、项目前期策划组织及设计原则，然后论述既有桥改造采取的措施，最后分析了在改造中既有桥下部结构对桥梁工程造价的影响。     

大岭铺隧道坍方处理

介绍西康线大岭铺隧道软弱破碎围岩坍方处理施工。洞口段坍方采用钢轨棚架支护；隧道内拱部坍方采用全断面超前小导管预注浆固结松散体再进行开挖的方法。     

既有线顶进框架立交桥软土地基加固设计

文章主要介绍了利用钢筋混凝土方桩加固框架桥主体地基时,钢筋混凝土方桩单桩容许承载力和地基强度的计算方法,以及防止框架顶进“扎头”,需要换填快硬混凝土的深度。     

Research on probability distribution of port cargo throughput

In order to more accurately examine developing trends in gross cargo throughput, we have modeled the probability distribution of cargo throughput. Gross cargo throughput is determined by the time spent by cargo ships in the port and the operating efficiency of handling equipment. Gross cargo throughput is the sum of all compound variables determining each aspect of cargo throughput for every cargo ship arriving at the port. Probability distribution was determined using the Wald equation. The results show that the variability of gross cargo throughput primarily depends on the different times required by different cargo ships arriving at the port. This model overcomes the shortcoming of previous models： inability to accurately determine the probability of a specific value of future gross cargo throughput. Our proposed model of cargo throughput depends on the relationship between time required by a cargo ship arriving at the port and the operational capacity of handling equipment at the port. At the same time, key factors affecting gross cargo throughput are analyzed. In order to test the efficiency of the model, the cargo volume of a port in Shandong Province was used as an example. In the case study the actual results matched our theoretical analysis.