土与结构相互作用体系振动台模型试验数值模拟研究

运用土与结构动力相互作用 (SSI)有限元三维分析软件 SASSI2 0 0 0对一个土与结构动力相互作用体系振动台模型试验进行了模拟计算。对振动台模型试验作了简单的介绍 ,并详细叙述了试验的建模方法。对于试验中的刚性地基和柔性地基条件 ,El- centro波、Taft波和 5 0年超越概率为 10 %的南京人工波等三种地震波输入 ,三个加速度峰值水平 0 .1g、0 .2 g、0 .3g及两个水平向地震波输入的各种组合工况均进行了计算。在数值计算中 ,假设地基土为覆盖于基岩上的半无限粘弹性水平成层土 ,采用等效线性模型考虑土的动力非线性的影响 ;上部结构用三维杆系有限元单元模拟 ,楼板用四结点壳单元模拟 ,每个结点有三个平动自由度和三个转动自由度 ,模型试验中所施加的人工质量均匀分布于壳单元上 ;基础视为平板基础 ,用八结点块体单元模拟 ,每个结点有三个平动自由度。将试验结果与计算结果进行对比较 ,结果表明 :计算所建立的模型较好地模拟了相互作用体系在地震荷载下的反应性状 ,计算结果与试验结果吻合较好 ,SSI效应对结构地震反应有很大影响     

黄土地基湿陷时桩的负摩阻力最大值出现深度研究

负摩阻力及中性点的定义表明,负摩阻力沿桩身(从桩顶两侧到中性点位置)的变化并不均匀,其间应存在一个最大值,最近的黄土地基浸水湿陷试验证明了这一点。本文利用该试验的资料,从理论上对桩的负摩阻力最大值出现深度进行分析研究,结果表明负摩阻力随深度的变化受到某一深度(如负摩阻力最大值处)以上土体有效重量和该深度桩周土体的有效沉降量这两个主要因素的制约,并由此推导出不同沉降性能土体湿陷时桩的负摩阻力最大值出现的深度。通过与实测资料的对比可见,本文提出的确定桩的负摩阻力最大值出现深度的理论是可信的,由此得到的计算黄土地基湿陷时桩身总的负摩阻力的方法更具合理性。     

金属材料腐蚀疲劳研究进展

首先归纳了金属材料的腐蚀疲劳裂纹萌生机理和扩展机制,从材料自身因素、外界力学因素和环境因素三方面分析了腐蚀疲劳影响因素,简要介绍了环境腐蚀-疲劳载荷交互试验和环境腐蚀-疲劳载荷协同试验研究现状及重要性,并展望了金属材料腐蚀疲劳今后研究的重要方向,为金属材料腐蚀疲劳的试验开展、机理探索和工程应用奠定基础。     

直升机机载产品环境鉴定试验故障分析

目的探究机载产品在鉴定试验阶段故障频发的原因,并改进机载产品研制流程中的不足之处。方法收集某型直升机机载产品50项环境鉴定试验故障,并对环境试验故障进行分析。结果环境试验故障主要为三防及振动试验故障,其故障发生的原因主要为材料及表面处理方法选用不当、设计缺陷和质量控制程序不够严格。结论针对该分析结果提出机载产品在设计过程中,需要通过尽早安排环境研制性试验、建立环境数据库、模拟仿真进行环境适应性设计和加强质量管理等措施,避免机载产品在鉴定试验阶段故障频发的问题。     

毫米波近炸探测器超宽带电磁脉冲防护加固措施研究

目的 研究毫米波引信近炸探测器超宽带(Ultra-wideband,UWB)电磁脉冲防护加固措施,提高引信的电磁防护能力。方法 利用超宽带辐照试验平台,开展辐照试验,通过测试,确定受损探测器的损伤部位,明确辐照效应机理,并提出针对性加固措施。结果 超宽带电磁脉冲可使探测器出现死机或硬损伤的现象,受试探测器的效应场强阈值在50~80 kV/m。死机可在重启后恢复,而硬损伤为不可恢复现象。结论 毫米波引信近炸探测器对超宽带电磁脉冲较为敏感,锁相环回路是探测器的敏感部位。探测器暴露在辐照场下的射频电路和天线窗口是超宽带能量的主要耦合通道。采取改进元器件布局、更换器件和屏蔽线等加固措施后,探测器超宽带的防护能力有较大提升,证明了加固措施的有效性。     

大型运输机水上迫降动力学分析及模型验证

目的 完善大型运输机水上迫降分析方法,提高分析精度。方法 以有限元和SPH方法为基础,开展大型运输机水上迫降动力学仿真。基于冯.卡门经典入水冲击理论,构造大型运输机机身底部吸力模型,提出基于工程修正的水上迫降动响应分析方法,并通过试验验证。结果 通过分析得出,飞机接水后,机头迅速上扬,俯仰角达到峰值后,机头向下运动,俯仰角逐渐减小,分析得到的飞机姿态变化与试验的变化趋势基本一致。结论 水上迫降模型试验表明,分析误差能够满足工程设计要求。     

Assessing the biodegradation potential of polymers in screening- and long-term test systems

This paper presents a test scheme for assessing the biodegradation potential of polymers, starting with aquatic screening systems (aerobic and anaerobic) and continuing to long-term systems. At the end of the scheme the material has to prove its behavior under the relevant disposal conditions. Aerobic screening was performed mainly under aquatic conditions, but also in soil, using BOD-respirometry. Carbon balances were performed to obtain a better evaluation of the biodegradation potential. Under anaerobic conditions, biodegradation in an aquatic medium was followed by measuring CH₄ and CO₂ production. Polymers not fully degraded in the screening systems were tested in aquarium systems for at least 1 year. Biodegradation was followed by monitoring the DOC released in the water, mass loss, and microbial growth on the samples and in the water as well as via FTIR spectroscopy and SEM pictures. Results are presented for the polymers PHB, PHBV, PCL, Mater-Bi AI05H and ZF03U, and Bioceta. By combining the data from the screening with the aquarium system, a good picture of the degradation behavior of the polymers is obtained.Paper presented at the Bio/Environmentally Degradable Polymer Society—Third National Meeting, June 6–8, 1994, Boston, Massachusetts.     

Time series analysis of elemental and isotopic data from biomineralized whale tissue

A temporal record of environmental conditions is often contained within accretionary biological tissue. These records can provide knowledge of the environmental conditions that existed at the time the tissue was formed. In this study, we look at trace element concentrations and isotopic ratios of carbon and nitrogen as contained in baleen from bowhead whales in the eastern and western Arctic Ocean. Time series techniques, including maximum likelihood method and likelihood ratio tests, are applied to analysis of data and inference about their mean structures.     

污水灌溉对水稻生长影响的模拟

本文根据各工厂污水排入大通河的负荷量，作污灌模拟试验。试验证明：１．各工厂排污所含有机物质超过一定量便对水稻生长及产量产生严重影响；２．用大通河水灌溉，也会影响水稻的生长及产量。这说明大通河水已受到各工厂污染物的严重污染。     

Bayesian testing for trend in a power model for clustered binary data

Developmental toxicity studies are widely used to investigate the potential risk of environmental hazards. In dose–response experiments, subjects are randomly allocated to groups receiving various dose levels. Tests for trend are then often applied to assess possible dose effects. Recent techniques for risk assessment in this area are based on fitting dose–response models. The complexity of such studies implies a number of non-trivial challenges for model development and the construction of dose-related trend tests, including the hierarchical structure of the data, litter effects inducing extra variation, the functional form of the dose–response curve, the adverse event at dam or at fetus level, the inference paradigm, etc. The purpose of this paper is to propose a Bayesian trend test based on a non-linear power model for the dose effect and using an appropriate model for clustered binary data. Our work is motivated by the analysis of developmental toxicity studies, in which the offspring of exposed and control rodents are examined for defects. Simulations show the performance of the method over a number of samples generated under typical experimental conditions.