贵池铜山铜矿床成因探讨

铜山铜矿床矿化类型可划分为层状含铜黄铁矿型，含铜角砾岩型，含铜夕卡岩型和含铜班岩型，控矿因素为地层，岩浆岩及构造，其中层间断裂与接触带构造是主要的容矿构造，铅，硫，氢，氧同位素特征及成矿温度研究表明矿物质和热液主要来源于铜山岩体，矿床成因为层控夕卡岩型铜矿床。     

A study of design spectra based on attenuation relationship of ground motion

In recent years, more and more studies are focused on the performance in seismic design instead of the strength of structures. People have realized that the structure deformation (displacement) can describe the damage more properly and directly than the strength (force). The displacement design spectra need to be constructed within more wide range of the period and the damping for the displacement-based seismic design.     

辽宁东胜地区金、银、多金属剪切带矿床控矿构造特征

运用剪切带控矿理论，通过对剪切带内变形岩石的应变测量和不同惊讶的成矿构造研究，阐明了辽宁东胜地区金、银、多金属剪切带矿床的控矿构造特征，探讨了此类矿床控矿构造与矿化的关系。     

动态模拟扫描成像转台转速系统变阻尼控制与PID控制的对比研究

在设计高精度速率转台系统时，对PID控制与变阻尼控制作了对比研究，采用变阻尼控制方案较好地解决了系统快速性的矛盾，并且给出的仿真结果实验是令人满意的。     

利用GPS水准控制山区高程——以陕西丁家林金矿区为例

应用GPS水准控制山区高程的基本原理是当GPS点布设成一定区域时，可以用数学曲面拟合法求待定点的正常高，根据测区中已知点的平面坐标或大地坐标和高程异常值，用数字拟合法求出该区似大地水准面，得出等求点的正常高。在陕西丁家林金矿区实验结果表明，该方法与传统的三角高程控制法相比，无论在平原或在山区都能获得较好精度。因此，用GPS水准可替代几何水准。     

去除废水中重金属的低成本吸附剂:生物质和地质材料的环境利用

经济、有效、易获得的生物质和地质材料 (及二者的废弃物 )可用来取代传统的活性炭或离子交换树脂用于去除废水中的重金属。已经公开发表的低成本吸附剂主要可分为两类 :(1)生物质 (包括林业和农业的废弃物 ) :树皮 /富含丹宁酸的物质 ,木质素 ,几丁质 /甲壳质 ,死的生物体 ,苔藓 ,海草 /海藻 /褐藻酸 ,废弃的茶叶 ,稻壳 ,羊毛 ,棉花等 ;(2 )地质材料 (包括矿物利用后的工业废弃物 ) :沸石 ,粘土 ,泥炭 ,有铁氧化物包壳的砂 ,粉煤灰等。其中 ,对于重金属具有强吸附能力的吸附剂有甲壳质、沸石和木质素 ,例如 ,它们对一些重金属的最大吸附能力分别为 :甲壳质对Cd ,Hg ,Pb分别为 5 5 8,112 3 ,796mg/g ,沸石对Pb为 15 5 4mg/g ,木质素对Pb为 15 87mg/g。地质材料的环境利用值得引起地学界和环境工程界更广泛的重视。基于地质材料和水岩相互作用机理的环境污染控制技术有望成为 2 1世纪重要的环保替代技术。由于缺少连续的可比性强的成本信息 ,要比较不同的生物质和地质材料的成本和吸附性能仍较困难。尽管已对低成本吸附剂领域进行了很多研究 ,但要更好地了解低成本吸附剂的作用机理及其实用性 ,仍需要做大量的室内和现场工作。     

基坑变形影响因素与有限元数值模拟

基坑变形影响因素是其变形控制的重要内容之一，在自制深基坑工程变形控制优化设计及其有限元数值模拟系统(SDCDEFEM)的基础上，重点对影响基坑变形的各因素进行了有限元数值模拟分析，并对实测和计算的基坑周边最大沉降、支护结构最大水平位移和坑底最大隆起及其位置进行了统计分析，得出了简明估算基坑最大变形及其位置的统计关系式，提出了经济有效的变形控制对策。     

99洪水和对进一步治理太湖的探讨

1999年太湖流域发生了特大洪水,太湖最高洪水位达5.08m,创历史新高.文中分析了1999年洪水的雨情、水情及其特点.阐述了已建治理太湖工程的防洪作用和减灾效益,并对太湖流域的进一步治理作了探讨.     

Neuro‐control of seismically excited steel structure through sensitivity evaluation scheme

The neuro‐controller training algorithm based on cost function is applied to a multi‐degree‐of‐freedom system; and a sensitivity evaluation algorithm replacing the emulator neural network is proposed. In conventional methods, the emulator neural network is used to evaluate the sensitivity of structural response to the control signal. To use the emulator, it should be trained to predict the dynamic response of the structure. Much of the time is usually spent on training of the emulator. In the proposed algorithm, however, it takes only one sampling time to obtain the sensitivity. Therefore, training time for the emulator is eliminated. As a result, only one neural network is used for the neuro‐control system. In the numerical example, the three‐storey building structure with linear and non‐linear stiffness is controlled by the trained neural network. The actuator dynamics and control time delay are considered in the simulation. Numerical examples show that the proposed control algorithm is valid in structural control. Copyright © 2001 John Wiley & Sons, Ltd.     

Evaluation of response and energy in actively controlled structures

A computational method of energy evaluation is derived to study the elastic responses and energy distribution of actively controlled single‐degree‐of‐freedom (SDOF) structures during earthquakes. Contrary to the common perception that applying active control force pumps energy into the structure, the applied control force can actually reduce the energy in the structure by reducing the input energy from earthquakes to the structure. In addition, applying control force can dissipate a large amount of energy in the structure when this control force is applied in the direction opposite to the displacement and velocity responses. To demonstrate this energy mechanism in active controlled structures, the two most popular control algorithms, optimal linear control (OLC) and instantaneous optimal control (IOC) algorithms, are used to calculate the control response and energy spectra. One‐step time delay is incorporated into the algorithms to take into consideration the practical aspect of active control. The effects of different earthquakes and damping ratios on control energy and response spectra are studied. These studies show that both OLC and IOC are very effective in reducing the structural displacement and velocity responses by reducing the input earthquake energy as well as dissipating a large amount of energy in the structure. Copyright © 2001 John Wiley & Sons, Ltd.