Detection of nonlinearity effects in structural integrity monitoring methods for offshore jacket-type structures based on principal component analysis

The detection of changes in the dynamic behavior of structures is an important issue in structural safety assessment. The development of detection methods assumes greater significance in the case of offshore platforms because the inherent problems are compounded by the harsh environment. Here, we describe an instrumented physical model for the structural health monitoring of an offshore jacket-type structure and the results of tests in several different damage scenarios. In a comparative investigation of two different methods, we discuss the difficulties of implementing damage detection techniques for complex structures, such as offshore platforms. The combined algorithm of a fuzzy logic system and a model updating method are briefly discussed, and a method based on stochastic autoregressive moving average with exogenous input is adopted for the structure. The consideration of uncertainties and the effects of nonlinearity were major objectives. So, the methods were also investigated based on the test scenarios consisting of the physical model with a geometric nonlinearity. The principal component analysis method was utilized for the detection of nonlinearity in the recorded data. The results show that the developed methods are suitable for damage classification, but the quality of the acquired signals must be considered an important factor influencing successful classification. The development of these methods may be extremely useful, as such technologies could be applied for offshore platforms in service, enabling damage detection with fewer false alarms.     

隧道工程建设地质预报及信息化技术的主要进展及发展方向

复杂的不良地质条件是制约隧道安全高效建设的主要因素,要实现隧道工程的安全高效建设,首先要提高地质预测预报技术水平及其信息化程度。1)介绍我国复杂不良地质隧道超前预报的方法进展及其应用,包括突水突泥灾害源超前探测方法与设备、断层破碎带超前预报、城市地铁溶洞和孤石等探测的进展及应用等;2)介绍我国隧道岩爆监测预警方法及其应用,预报清楚之后就要加强安全风险过程监控;3)介绍基于BIM技术的建筑物(隧道工程)安全风险监控最新进展,包括安全风险实时感知系统和实时预警系统;4)指出隧道工程建设信息化技术的发展方向,包括开展基于大数据技术的TBM/盾构施工的分析与控制研究以及数字隧道向智慧隧道(建设和运营维护)的发展。     

国Ⅴ柴油机SCR系统结构对尿素结晶影响研究

针对某国Ⅴ商用柴油车SCR系统中出现的结晶问题,综合应用CFD模拟和台架试验进行分析研究,提出一系列结构优化和改进方案,改善了SCR前流场状态以及流体的流动均匀性和尿素均匀性,基本消除了排气系统在实际工况下的结晶风险,提高了全系统的抗结晶能力,保证了SCR系统的正常运行。通过对模拟结果和台架试验数据的比对分析,研究了流场分布以及混合器结构对结晶形成产生的影响。     

桥面铺装复合梁的有限元分析

采用三维有限元法,分析了复合梁试件模型和实体桥面铺装模型中沥青混凝土铺装层表面的受力特性及其变化趋势。计算结果表明,复合梁模型和实体桥面铺装模型中的沥青铺装层表面的受力状态相同,变化趋势一致,采用试验可控性较好的复合梁试验能够模拟不同结构组合的桥面铺装层受力特性,为大跨径桥梁桥面铺装层结构设计、材料选择提供依据。     

高速公路中收费和清分的动态解决方案

在高速公路收费和清分过程中,由于新增的高速公路和收费站点特别是环型路段的增加使得原有的静态算法已经不适宜于现实情况。本文提出了高速公路中基于最短路径和环型路段的动态收费和清分解决方案,并给出了详细的基于环型路段的动态算法。环型路段问题解决后,可以判知车辆实际行车路线,从而大幅提高收费及清分的准确性和效率。     

现浇预应力混凝土连续箱梁桥设计

结合某主线上一座2×30 m现浇连续预应力混凝土葙梁桥的工程实例,较详尽的介绍了该桥的设计和构造特点、上部结构计算及上下部构造设计,并结合实际针对设计时应考虑的一些因素进行了较详细的探讨.     

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.     

Power network parameter estimation method based on data mining technology

The parameter values which actually change with the circumstances, weather and load level etc.produce great effect to the result of state estimation. A new parameter estimation method based on data mining technology was proposed. The clustering method was used to classify the historical data in supervisory control and data acquisition (SCADA) database as several types. The data processing technology was impliedto treat the isolated point, missing data and yawp data in samples for classified groups. The measurement data which belong to each classification were introduced to the linear regression equation in order to gain the regression coefficient and actual parameters by the least square method. A practical system demonstrates the high correctness, reliability and strong practicability of the proposed method.     

计算机数据安全隐患及防护措施

从分析计算机数据的物理安全和逻辑安全两个方面入手,对电磁波辐射、联网及病毒对计算机数据安全的威胁进行了论述,指出这是威胁计算机数据安全的主要因素,并提出了数据备份、数据安全删除、辐射屏蔽、病毒及入侵防护、文档加密等相应的安全防护措施和方法。     

应用离心造粒法制备盐酸二甲双胍微丸的研究

目的研究离心造粒粉末层积法制备盐酸二甲双胍微丸。方法采用多功能微丸包衣造粒机制备微晶纤维素空白丸芯和盐酸二甲双胍微丸,并且通过产率、粒径和粒径分布、堆密度、表面形态和圆整度、脆碎度和释放度对盐酸二甲双胍微丸进行质量评价。结果以盐酸二甲双胍∶乳糖∶微晶纤维素=100∶5∶3的比例,主机转速150 r/min,喷浆泵转速20 r/min,供粉速度25 r/min,滚圆6 min,进行制备微丸,获得了很好的效果。结论所制备的盐酸二甲双胍微丸圆整度好,粒径均匀,硬度合格,流动性好,释放完全,无骨架结构。