An Intelligent Method for Structural Reliability Analysis Based on Response Surface

As water depth increases, the structural safety and reliability of a system become more and more important and challenging. Therefore, the structural reliability method must be applied in ocean engineering design such as offshore platform design. If the performance function is known in structural reliability analysis, the first-order second-moment method is often used. If the performance function could not be definitely expressed, the response surface method is always used because it has a very clear train of thought and simple progranuning. However, the traditional response surface method fits the response surface of quadratic polynomials where the problem of accuracy could not be solved, because the true limit state surface can be fitted well only in the area near the checking point. In this paper, an intelligent computing method based on the whole response surface is proposed, which can be used for the situation where the performance function could not be definitely expressed in structural reliability analysis. In this method, a response surface of the fuzzy noural network for the whole area should be constructed first, and then the structural reliability can be calculated by the genetic algorithm. In the proposed method, all the sample points for the training network come from the whole area, so the true limit state surface in the whole area can be fitted. Through calculational examples and comparative analysis, it can be known that the proposed method is much better than the traditional response surface method of quadratic polynomials, because, the amount of calculation of finite element analysis is largely reduced, the accuracy of calculation is improved, and the true limit state surface can be fitted very well in the whole area. So, the method proposed in this paper is suitable for engineering application.     

中国对虾素在大肠杆菌(Escherichia coli)中的重组表达

中国对虾素是从中国对虾血细胞中克隆得到的一种抗菌肽。为了进一步研究中国对虾素(CHP)的功能并为制备特异性抗体作准备，采用大肠杆菌表达外源蛋白的方法，进行了对虾素原核表达的研究。根据从中国对虾血细胞中克隆得到的对虾素基因设计特异性引物扩增中国对虾素成熟肽基因(CHP)，插入原核表达载体pGEX-4T-1中，在E．coli BL21表达融合蛋白GST-CHP．结果表明，不同表达菌株的融合蛋白表达量为30％—34％，同一菌株在诱导5h后能达到最高表达量。利用GST亲和层析纯化融合蛋白，将融合蛋白用凝血酶裂解以得到CHP，其分子量约为5．6kDa，N-端测序结果与期望的成熟对虾肽序列一致。用液体生长抑制方法检测活性，表明重组GST-CHP蛋白及CHP均表现出对大肠杆菌的抑菌活性。     

互相关技术在海洋工程中的应用研究

随着计算机技术和图像处理技术的快速发展，互相关技术在近几十年取得了很大发展，已成为当今工程领域的一项重要测试技术。本文详细阐述了互相关技术的基本原理，通过实例说明了互相关技术在海洋工程领域中的实际应用，充分说明了该技术的实用性与可靠性，并简要介绍了互相关技术在其它工程领域中的应用情况。     

多种核素在沉积物中的垂直和平面分布

应用γ谱仪测量了鸭绿江口及黄河口海域沉积物中的多种核素。由于这些区域 ,特别是黄河口 ,沉积速度快 ,泥沙从陆地直接搬运到海底 ,因此 ,2 10 Pb和 2 3 4 Th在沉积物表层均不呈现过剩 ,2 3 8U系的各子体之间基本处于放射性平衡状态。本文中 2 14 Pb的最高比活度是(6 .2 0± 0 .2 1 ) 1 0 - 2 Bq/g,最低为 (3 .0 0± 0 .3 5 ) 1 0 - 2 Bq/g。2 2 8Ac的最高比活度是 (6 .6 0± 0 .5 8)× 1 0 - 2 Bq/g,最低为 (2 .80± 0 .3 8)× 1 0 - 2 Bq/g。诸核素的平面分布与垂直分布均有一定波动 ,这种波动与沉积物的陆源变化及海洋水动力学作用有关。Ra与其他核素比较 ,更容易溶解 ,在地表水形成时 ,Ra已出现过剩。因此 ,在河口沉积物的表层 ,2 2 8Th呈现过剩。这种过剩可用来测河口的沉积速度。世界各主要有核国家已长期停止大气层核试验 ,因此 ,本文测得的 13 7Cs含量相当低 ,有些层次已不能检出     

黑龙江省地理国情普查成果应用于市县经济建设的研究

地理国情普查是我国一项重要的测绘地理信息工程,其目的在于摸清国情家底,并将成果应用服务于政府、企业和公众。黑龙江第二测绘工程院与宁安市人民政府建立战略合作伙伴关系,以全省第一次地理国情普查成果数据为基础制作了测绘地理信息成果图集等数据,有效地提高了地理国情数据的应用,能够更加直观地了解特定区域内的交通、水系、植被、居民地等分布情况,为宁安市的经济建设和社会发展合理决策提供了新依据。     

智慧农场在线综合服务平台系统的研究与设计

结合农场发展实际情况,提出智慧农场在线综合服务平台建设指导思想、建设原则、核心建设内容及建设与运行模式,剖析其实际的功能与性能需求。针对智慧农场建设内容,综合旅游、农田、社区、微信平台等方面,提出能适应功能需求不断变化的智慧农场在线综合服务平台系统架构,为智慧农场建设提供新的思路,以期为智慧农场信息服务标准化建设提供指导。     

黑龙江省植被大气调节功能时空分布特征

为研究生态系统对环境大气气体调节的贡献,应用碳税法和造林成本法,该文对2000—2010年黑龙江省农田、草地、灌丛等7类生态系统的大气调节功能价值进行估算,分析其时空分布特征。结果表明,2000—2010年黑龙江省净初级生产力逐年退化,下降的面积为127 811km~2,占总面积29.79%,在伊春市、哈尔滨市东部、牡丹江市等地表现得尤为明显;2000—2003、2004—2007、2008—2010年3个时段年均大气调节功能价值分别为1 366.16、1 342.45、1 275.68亿元,呈下降趋势,2008—2010时段较前两个时段价值下降幅度增大;空间上呈现出西南和东南向西北方向递减的趋势;价值构成上表现为阔叶林落叶针叶林草地针阔混交林农田灌丛其他类型。     

机载LiDAR技术在地质灾害监测中的应用研究

利用成熟的技术路线和地质灾害监测点激光点云的特征,以及地裂缝的地形深度急剧变化规律,采取一种改进Morove算子的兴趣点提取方法,根据高程变化特征提取地裂缝;根据滑坡体的地形非连续性,在三角形生长算法基础上,采用异变点不参与构网的方法,使滑坡体与原山体地形分离,监测出山体滑坡地质灾害点,为地质灾害的监测提供新的思路和方法。     

Effects of Wind Fences on the Wind Environment around Jang Bogo Antarctic Research Station

This study investigated the flow characteristics altered by Jang Bogo Antarctic Research Station using computational fluid dynamics(CFD) modeling. The topography and buildings around Jang Bogo Station were constructed with computeraided-design data in the CFD model domain. We simulated 16 cases with different inflow directions, and compared the flow characteristics with and without Jang Bogo Station for each inflow direction. The wind data recorded by the site's automatic weather station(AWS) were used for comparison. Wind rose analysis showed that the wind speed and direction after the construction of Jang Bogo Station were quite different from those before construction. We also investigated how virtual wind fences would modify the flow patterns, changing the distance of the fence from the station as well as the porosity of the fence. For westerly inflows, when the AWS was downwind of Jang Bogo Station, the decrease in wind speed was maximized(-81% for west-northwesterly). The wind speed reduction was also greater as the distance of the fence was closer to Jang Bogo Station. With the same distance, the fence with medium porosity(25%–33%) maximized the wind speed reduction.These results suggest that the location and material of the wind fence should be selected carefully, or AWS data should be interpreted cautiously, for particular prevailing wind directions.     

太湖对周边城市热环境影响的模拟

太湖微气候条件及局地热环境的研究对于太湖周边城市地区可持续发展以及大气宏观调控具有重要意义。为了更准确模拟太湖湖-气交换,将CLM4-LISSS浅水湖泊陆面过程参数化方案耦合进入WRF中的Noah陆面过程模型。采用太湖湖上平台及岸边陆上测站观测的数据,评估了CLM4-LISSS浅水湖泊过程方案对太湖区域近地层气象条件的模拟性能。并基于耦合模型模拟研究了太湖对周边城市区域热环境的影响。结果表明,CLM4-LISSS湖泊陆面过程方案模拟的湖表面温度能反映真实温度的变化趋势。两种陆面过程方案在2 m气温的模拟值也存在一定的差异。CLM4-LISSS与Noah方案计算所得湖上2 m气温的模拟值与观测值的平均均方根误差分别为1.77和2.22℃,平均相关系数分别为0.88和0.84;模拟10 m风速的平均均方根误差分别为1.93和2.78 m/s,平均相关系数为0.72和0.68。太湖对周边城市热环境存在明显的影响。8月太湖对周边地区15时（北京时）近地层平均降温0.5-0.7℃,影响范围达60 km。06时太湖导致周边近地层平均升温达0.7-1℃,影响范围达50 km。湖风带来的冷空气抑制了城市热岛的垂直运动,在高温天气下使得苏州、无锡和常州城市地区昼间边界层下降高度可达300、400和100 m。无锡地区边界层内气温最高降幅可达0.5-0.7℃。通过选取无锡地区2015年8月28日高温小风天气作为背景条件,分析该地区湖风对城市热岛环流的影响机制。结果表明湖风能够破坏无锡地区的热岛环流结构,改变近地面热量和水汽的分布,抑制城市热岛的垂直发展,并影响至整个无锡地区。局地热力环流的变化对于局地气候以及污染物质的输送与扩散有可能产生重要影响,准确的湖泊陆面过程参数化方案对于天气预报、空气污染模拟,以及气候模拟研究等均具有重要意义。