浅析热再生技术在铁阜高速公路路面维修工程中的应用

铁岭至阜新高速公路(以下简称铁阜高速)路面维修工程主要是对车辙深度为10~20mm的路段进行现场热再生。简要介绍了实际施工中热再生技术的运用,并通过合理的组织施工,实现对路面浅层病害的维修。     

化学品船液货管系的设计与检验

化学品液货种类繁多,不少船东在化学品船设计、建造之初,并不十分清晰将来装载哪些货品,加之为了节省成本,在建造材料的选择上又往往趋向低端,导致成船可以运载的货源大大受限,最终对船舶营运效益造成严重影响。如何才能避免类似情况发生呢?     

冰区核电平台系泊设计及影响研究

本文根据冰区浮式核电平台的主要功能及外部环境条件,确定平台的基本形式,并在此基础上进行了系泊系统的优化设计.与以往研究不同的是,考虑到冰区海洋的特殊性,除计算风、浪、流作用情况外,还运用Sdem软件构造了海冰离散单元模型,对海冰与海洋系泊结构物的相互作用过程进行了数值模拟.在此基础上,结合系泊分析软件ANSYS-AQWA的二次开发功能,对平台运动及其系泊系统进行了时域耦合分析,研究了平台在不同环境载荷作用下的运动响应;进行了系泊参数研究,分析一般规律,最终提出了一种满足规范要求且性能优良的系泊方案.研究结果表明:本文提出的冰区核电平台系泊系统可抵抗恶劣的环境影响;通过合理选择系泊缆数量、夹角、预张力大小及顶端倾角等系泊参数,可减小平台运动响应.     

Real-Time Fault Diagnosis for Gas Turbine Blade Based on Output-Hidden Feedback Elman Neural Network

In order to remotely monitor and maintain large-scale complex equipment in real time, China Telecom plans to create a total solution that integrates remote data collection, transmission, storage, analysis and prediction. This solution can provide manufacturers with proactive, systematic, integrated operation and maintenance service, and the data analysis and health forecasting are the most important part. This paper conducts health management for the turbine blades. Elman neural network, and improved Elman neural network, i.e., outputhidden feedback (OHF) Elman neural network are studied as the main research methods. The results verify the applicability of OHF Elman neural network.     

假设检验在汽车排放实验室质量监控中的应用研究

设备比对作为一种有效的质量监控方法,在汽车检测行业得到了广泛应用.众所周知,影响整车排放检测结果的因素较多,试验结果的偏差较大;但因排放检测设备价值昂贵,具备两套及以上排放检测设备的实验室较少,因此,在进行质量监控时,受检测设备数量的限制,难以选择设备比对的方式.本文以5家实验室比对的数据为例,选择其中的极端数据模拟进行两套设备间的设备比对,得出了假设检验用于设备比对的分析方法,并给出了试验数据的置信区间.与实验室间比对结果相比,使用该方法进行两套设备间的比对,比对结果可信.     

基于多源数据的公交车能耗碳排放测算模型

公交车能耗碳排放强度与车辆、线路和驾驶员有显著相关关系，为精准刻画其能耗碳排放强度特征，整合OBD监测数据、加油(气)数据、运营排班数据等多源数据资源. OBD监测数据和加油(气)数据呈显著的线性关系，证明修正后的OBD监测数据可满足分析要求. 搭建“速度-能耗碳排放强度曲线”测算模型，幂函数关系的拟合优度R2 =0.972 6 为最高. 实证研究发现，平均速度在10~60 km/h 变化时，液化天然气(LNG)车比柴油车能耗碳排放强度高 3.3%~33.7%，双层车比铰接车高2.4%~13.3%；LNG铰接车在不同线路、相同速度下的强度相差9.6%；不同驾驶员在相同线路的能耗碳排放强度可相差24.2%. 模型为各城市基于多源数据开展公交能耗碳排放目标设定提供数据支撑.     

公路建设中的环境问题探讨

对公路建设环境保护作了比较深入地分析与探讨,总结归纳了公路施工环境保护工作的重点与措施。     

A data model applied to the knowledge-based ICAS

Image-guided computer aided surgery system (ICAS) contributes to safeness and success of surgery operations by means of displaying anatomical structures and showing correlative information to surgeons in the process of operation. Based on analysis of requirements for ICAS, a new concept of clinical knowledge-based ICAS was proposed. Designing a reasonable data structure model is essential for realizing this new concept. The traditional data structure is limited in expressing and reusing the clinical knowledge such as locating an anatomical object, topological relations of anatomical objects and correlative clinical attributes. A data structure model called mixed adjacency lists by octree-path-chain (MALOC) was outlined, which can combine patient's images with clinical knowledge, as well as efficiently locate the instrument and search the objects' information. The efficiency of data structures was analyzed and experimental results were given in comparison to other traditional data structures. The result of the nasal surgery experiment proves that MALOC is a proper model for clinical knowledge-based ICAS that has advantages in not only locating the operative instrument precisely but also proving surgeons with real-time operation-correlative information. It is shown that the clinical knowledge-based ICAS with MALOC model has advantages in terms of safety and success of surgical operations, and help in accurately locating the operative instrument and providing operation-correlative knowledge and information to surgeons in the process of operations.