东亚冬季风异常激发El Ni?o现象的数值试验研究

用全球海气耦合气候模式和海洋模式进行各种敏感性试验,研究东亚冬季风异常对El Ni(n)o事件形成的作用.结果表明东亚冬季风异常对于海洋热状态起了很大的作用.强冬季风年冬季所对应的海温距平为La Ni(n)a型,但在与冬季风异常相对应的风应力作用下,通过海气相互作用,由于赤道西太平洋西风异常和海温正距平的东传,可以使海温向着El Ni(n)o型分布发展;弱冬季风年冬季所对应的海温距平为El Ni(n)o型,后期则会转成La Ni(n)a型.冬季风异常的偏北风分量及赤道西风分量对海温所产生的影响各有差异,前者更多地影响太平洋西岸及暖池区,后者则对整个赤道太平洋热状态特别是El Ni(n)o形成起了重要的作用.在El Ni(n)o发展过程中起决定作用的主要不是风应力的强度,更关键的是异常风应力的持续时间.由于风应力的持续作用,El Ni(n)o发展特征更加显著.与冬季风异常相对应的纬向风分量特别是西风异常在El Ni(n)o发展中起主导作用;在单纯的海洋模式中经向风异常只能改变局地的西太平洋海温,并不能使东太平洋海温产生响应,即没有出现赤道暖水的东传过程.试验表明,海气耦合模式较单纯的海洋模式能更好地反映海气相互作用及El Ni(n)o的形成.     

改进的切线性模式对一个边界层模式变分资料同化的改善

大气、海洋中边界层物理过程的强非线性会对切线性模式近似（尤其是当积分时间长时）有较大的影响，从而给相应的4维变分资料同化问题的求解造成困难。本构造了Mellor-Yamada湍流封闭模式（level 2.5)的一个改进的切线性模式，相比通常的切线性模式和简化的切线性模式可以提高对非线性扰动的逼近。利用这个改进的切线性模式的伴随模式分别进行了1到7天的变分资料同化试验，得到了满意的结果。而用通常的伴随模式和简化的伴随模式都无法得到令人满意的结果。     

滑坡治理中格构锚固结构的解析解分析

在分析格构锚固结构受力的基础上 ,将格构梁简化为受集中力作用的弹性地基上的梁 ,提出了格构锚固结构的力学模型 ,利用 Winkler弹性地基上梁的解析解对格构梁进行了内力和变形的分析 ,发现格构梁的受力状况受弹性特征λ、梁格间距 ls以及悬臂长度影响 ;建议梁长 l与λ宜满足 lλ≥ 2π;采用较小间距的格构梁以及小吨位锚索 ,间距宜满足 lsλ<π/ 2 ,悬臂长度取 (0 .3～ 0 .5 ) ls,并将分析结论应用于三峡库区巴东太矶头东滑坡治理工程的设计中     

贵州关岭生物群中植物化石的发现及其意义

关岭生物群是近年来在我国贵州关岭地区瓦窑组中发现的一个十分重要的生物群 ,其中的植物化石经研究计有 Equisetites cf.arenaceus(Jaeger) Bronn.、Ctenozamitessarrani Zeiller。依据植物化石 C.sarrani常见于晚三叠世和 E.cf.arenaceus系似木贼属中较古老的类型 ,指出含植物化石的地层时代为晚三叠世卡尼期。瓦窑组系海相沉积 ,其中的植物化石无疑为异地埋藏 ,但从化石通常保存尚好来看 ,估计搬运的距离不会很远 ,它们可能是从距海岸不远的陆地被河流带到较平静的海湾或海槽而沉积下来的。此外 ,从该组植物茎干化石具清楚的年轮分析 ,推测卡尼期时 ,贵州关岭一带为非热带雨林地区 ,一年中气候不是四季如一 ,而是有明显的季节变化     

基于MAPGIS的1∶50万土地利用数据库系统设计与实现

土地利用资料是国家重要的基础地理资料 .针对全国土地利用数据进行建库管理会对国家建设起到重要的作用 .以MAPGIS为基础 ,按照一定的设计原则提出系统总体上应有的数据编辑、查询、统计等六大模块及其主要的功能 .详细说明了在MAPGIS平台的支持下全国土地利用数据库的数据组织方式 ,以及外部属性与图形数据的关联方式、图库中图元的B+ 树索引的结构、数据检索、输出流程等关键技术问题的解决方案 .     

三峡工程库区巴东县赵树岭滑坡稳定性与防治对策研究

赵树岭滑坡是三峡工程库区的重要滑坡，其稳定性直接关系到巴东新县城沿江大道的安全，并对新县城土地利用意义重大。在阐述赵树岭滑坡基本特征的基础上，运用水岩耦合三维有限元数值方法模拟了滑坡稳定性，预测了三峡水库蓄水后滑坡稳定性发展趋势和渗流特征。研究表明，水库蓄水及水位波动是影响滑坡稳定性的主要因素，三峡水库蓄水后，滑坡将发生局部失稳，必须加以治理，提出了滑坡防治的原则与对策。     

Structural damage detection using the optimal weights of the approximating artificial neural networks

This work presents a novel neural network‐based approach to detect structural damage. The proposed approach comprises two steps. The first step, system identification, involves using neural system identification networks (NSINs) to identify the undamaged and damaged states of a structural system. The partial derivatives of the outputs with respect to the inputs of the NSIN, which identifies the system in a certain undamaged or damaged state, have a negligible variation with different system errors. This loosely defined unique property enables these partial derivatives to quantitatively indicate system damage from the model parameters. The second step, structural damage detection, involves using the neural damage detection network (NDDN) to detect the location and extent of the structural damage. The input to the NDDN is taken as the aforementioned partial derivatives of NSIN, and the output of the NDDN identifies the damage level for each member in the structure. Moreover, SDOF and MDOF examples are presented to demonstrate the feasibility of using the proposed method for damage detection of linear structures. Copyright © 2001 John Wiley & Sons, Ltd.     

A mathematical hysteretic model for elastomeric isolation bearings

An analytical model for high damping elastomeric isolation bearings is presented in this paper. The model is used to describe mathematically the damping force and restoring force of the rubber material and bearing. Ten parameters to be identified from cyclic loading tests are included in the model. The sensitivity of the ten parameters in affecting the model is examined. These ten parameters are functions of a number of influence factors on the elastomer such as the rubber compound, Mullins effect, scragging effect, frequency, temperature and axial load. In this study, however, only the Mullins effect, scragging effect, frequency and temperature are investigated. Both material tests and shaking table tests were performed to validate the proposed model. Based on the comparison between the experimental and the analytical results, it is found that the proposed analytical model is capable of predicting the shear force–displacement hysteresis very accurately for both rubber material and bearing under cyclic loading reversals. The seismic response time histories of the bearing can also be captured, using the proposed analytical model, with a practically acceptable precision. Copyright © 2002 John Wiley & Sons, Ltd.     

Tests on low‐ductility RC frames under high‐ and low‐frequency excitations

The response of low‐ductility reinforced concrete (RC) frames, designed typically for a non‐seismic region, subjected to two frequencies of base excitations is studied. Five half‐scaled, two‐bay, two‐storey, RC frames, each approximately 5 m wide by 3.3 m high, were subjected to both horizontal and/or vertical base excitations with a frequency of 40 Hz as well as a lower frequency of about 4 Hz (close to the fundamental frequency) using a shake table. The imposed acceleration amplitude ranged from 0.2 to 1.2g. The test results showed that the response characteristics of the structures differed under high‐ and low‐frequency excitations. The frames were able to sustain high‐frequency excitations without damage but were inadequate for low‐frequency excitations, even though the frames exhibited some ductility. Linear‐elastic time‐history analysis can predict reasonably well the structural response under high‐frequency excitations. As the frames were not designed for seismic loads, the reinforcement detailing may not have been adequate, based on the crack pattern observed. The effect of vertical excitation can cause significant additional forces in the columns and moment reversals in the beams. The ‘strong‐column, weak‐beam’ approach for lateral load RC frame design is supported by experimental observations. Copyright © 2001 John Wiley & Sons, Ltd.     

Optimal design of passive energy dissipation systems based on H∞ and H2 performances

Passive energy dissipation devices (EDDs), such as viscous dampers, viscoelastic dampers, etc., have been used to effectively reduce the dynamic response of civil infrastructures, such as buildings and bridges, subject to earthquakes and strong winds. The design of these passive energy dissipation devices (EDDs) involves the determination of the optimal locations and the corresponding capacities. In this paper, we present two optimal design methodologies for passive EDDs based on active control theories, including H_∞ and H₂ performances, respectively. The optimal design methodologies presented are capable of determining the optimal locations and the corresponding capacities of EDDs. Emphasis is placed on the application of linear matrix inequality (LMI) for the effective design of passive EDDs using the popular MATLAB toolboxes. One important advantage of the proposed approaches is that the computation of the structural response is not needed in the design process. The proposed optimal design methodologies have been applied to: (i) a 10‐storey building and a 24‐storey building both subject to earthquake excitations, and (ii) a 76‐storey wind‐excited benchmark building, to demonstrate the advantages of the proposed design methodologies over the conventional equal capacity design. Copyright © 2002 John Wiley & Sons, Ltd.