浅议地球系统的复杂性及非线性

结合复杂性科学的产生及发展历程，认为复杂性科学对研究地球系统复杂性及非线性具有重要的理论指导和方法论意义。同时，在论述地球系统基本属性的基础上总结了地球系统复杂性及非线性的具体表现，即地球系统的层次性，无特征尺度性，开放性，相干性，临界性，自组织性和其动力学行为的自相似性及分形性。认为地球系统是总体上远离平衡，时空延展的多层圈综合集成，连续开放的复杂耗散动力巨系统。随着复杂性科学和地球系统的复杂性及非线性研究的不断深入，在21世纪，地球科学研究将会取得理论上的重大突破和飞跃。     

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.     

峨眉山玄武岩的岩相与岩体结构

峨眉山玄武岩是西南地区水电工程的主要建基岩体，其岩体结构明显受其建造的控制，不同地区，不同岩相的玄武岩，由于岩石组合及原生结构特征等的差异，而具有不同的岩体结构特征。本文结合拟建金沙江溪洛渡水电工程，雅砻江官地水电工程等实例，从岩相角度分析了玄武岩岩相及原生结构及原生结构对其岩体结构的控制作用。     

新全球动力学理论与成矿作用

成矿作用的本质是成矿流体子系统在统一地质 成矿场中与其它子系统在远离平衡系统的动态过程中所能达到平衡的程度。成矿物质的来源和矿床的富集部位都受新全球动力学理论 -涡旋甩出说以及由它所决定的抽拉构造和多重岩片的控制。     

新疆和硕县南山金矿地质地球化学特征及找矿标志

从新疆和硕县南山金矿床地质特征和地球化学特征的入手,分析其独特的控矿地质因素,提出了矿床的地质、地球化学找矿标志。     

The Green''''s function of the harmonic horizontal force applied at the interior of the saturated half-space soil

IntroductionThe wave propagation problems in saturated soil are very important for the civil engineering, geophysics and seismology. Biot (1956,1962) established the theory of wave propagation in saturated soil firstly, and hereafter many researchers have used Biot theory to study wave propagation problems in saturated soil. By using integral transform and potential function method, Philippacopoulos (1988) studied the Lamb(s problem of a vertical point force applied to the surface of saturate…     

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.     

Effectiveness of structural control based on control energy perspectives

A computational algorithm for maximizing the control efficiency in actively controlling the elastic structural responses during earthquake is proposed. Study of optimal linear control using a single degree of freedom shows that applying active control is very effective in reducing the structural displacement and velocity responses for long‐period structures, but at the same time it has an adverse effect in increasing the absolute acceleration response. The extent of this adverse effect reduces the effectiveness of the control system, and therefore it poses a limit on the maximum control force in order to provide maximum control efficiency. In view of this shortcoming, maximum control energy dissipation is used to define the most effective optimal linear control law. Less displacement and velocity response are expected as larger control force is applied, but there is always a limit that maximum control energy can be dissipated. This study shows that this limit depends on the structural characteristics as well as the input ground motion, and a general trend is that the maximum control energy decreases as damping increases. Finally, application of the proposed algorithm on a six‐storey hospital building is presented to show the effectiveness of using optimal linear control on a multi‐degree‐of‐freedom system from the control energy perspectives. Copyright © 2001 John Wiley & Sons, Ltd.     

Factors affecting sediment trapping in vegetated filter strips: simulation study using VFSMOD

Soil and water conservation practices have been promoted for a long time, in order to sustain agricultural activities and prevent environmental pollution. Vegetated filter strips (VFS) have been used to reduce sediment pollution into water bodies at or near the pollutant source. However, factors effecting VFS performance under natural conditions have not been well understood owing to the physical, time and financial limitations of field experiments. The use of well‐validated simulation models to understand the performance of VFS and factors affecting sediment deposition is highly justified. The objective of this research is to investigate sediment trapping in VFS and to study various factors affecting VFS performance using the simulation model VFSMOD, which was developed by researchers at University of North Carolina. Recently, VFSMOD has been validated successfully by using 21 filters with varying length, slope and vegetated cover. A wide range of five parameters was selected for the simulations, namely filter length, filter slope, manning roughness coefficient, soil type and characteristics of incoming sediment from adjacent fields. Computer simulations revealed that the length of filter is the most significant factor affecting sediment trapping in VFS. The relative increase in trapping efficiencies was not linearly related to an increase in filter length. Inflow sediment class also has a major influence on sediment trapping in VFS. The trapping efficiency of clay sediments in a 15 m length VFS was 47% compared with 92% for silt from incoming sediment. Manning roughness coefficient had a moderate effect on sediment trapping and was more significant in short filters. Land slope and soil type of VFS had a minor influence on the performance of VFS. Copyright © 2001 John Wiley & Sons, Ltd.