Seepage-stress coupling constitutive model of anisotropic soft rock

To provide a seepage-stress coupling constitutive model that can directly describe the seepage-stress coupling relationship, a series of one-dimensional seepage-stress coupling tests on two kinds of soft rock (argillaceous siltstone and brown mudstone) were performed by using an MTS-815.02 tri-axial rock mechanics test system, with which the stress—strain curves according to the seepage variation were obtained. Based on the experimental results and by employing Hooke’s law, the formulation of the coefficient of strain-dependent permeability was presented and introduced to establish a coupling model. In addition, the mathematical expression and the incremental formulation for coupling model were advanced, in which five parameters that can be respectively determined by using the experimental results were included. The calculated results show that the proposed coupling model is capable of simulating the stress—strain relationship with considering the seepage-stress coupling in the nonlinear elastic stage of two kinds of soft rock. Foundation item: Projects(50378069, 50639090) supported by the National Natural Science Foundation of China; Project(50639090) supported by the Joint Fund of Yalong River Hydropower Development, China     

Nonlinear behavior of concrete beams with hybrid FRP and stainless steel reinforcements

The full-range behavior of partially bonded, together with partially prestressed concrete beams containing fiber reinforced polymer (FRP) tendons and stainless steel reinforcing bars was simulated using a simplified theoretical model. The model assumes that a section in the beam has a trilinear moment—curvature relationship characterized by three particular points, initial cracking of concrete, yielding of non-prestressed steel, and crushing of concrete or rupturing of prestressing tendons. Predictions from the model were compared with the limited available test data, and a reasonable agreement was obtained. A detailed parametric study of the behavior of the prestressed concrete beams with hybrid FRP and stainless steel reinforcements was conducted. It can be concluded that the deformability of the beam can be enhanced by increasing the ultimate compressive strain of concrete, unbonded length of tendon, percentage of compressive reinforcement and partial prestress ratio, and decreasing the effective prestress in tendons, and increasing in ultimate compressive strain of concrete is the most efficient one. The deformability of the beam is almost directly proportional to the concrete ultimate strain provided the failure mode is concrete crushing, even though the concrete ultimate strain has less influence on the load-carrying capacity. Foundation item: Project (50478502) supported by the National Natural Science Foundation of China     

Support vector machine forecasting method improved by chaotic particle swarm optimization and its application

By adopting the chaotic searching to improve the global searching performance of the particle swarm optimization (PSO), and using the improved PSO to optimize the key parameters of the support vector machine (SVM) forecasting model, an improved SVM model named CPSO-SVM model was proposed. The new model was applied to predicting the short term load, and the improved effect of the new model was proved. The simulation results of the South China Power Market’s actual data show that the new method can effectively improve the forecast accuracy by 2.23% and 3.87%, respectively, compared with the PSO-SVM and SVM methods. Compared with that of the PSO-SVM and SVM methods, the time cost of the new model is only increased by 3.15 and 4.61 s, respectively, which indicates that the CPSO-SVM model gains significant improved effects. Foundation item: Project(70572090) supported by the National Natural Science Foundation of China     

Effective prediction of DEA model by neural network

In this paper,a fast neural network model for the forecasting of effective points by DEA model is proposed,which is based on the SPDS training algorithm.The SPDS training algorithm overcomes the drawbacks of slow convergent speed and partially minimum result for BP algorithm.Its training speed is much faster and its forecasting precision is much better than those of BP algorithm.By numeric examples,it is showed that adopting the neural network model in the forecasting of effective points by DEA model is valid.     

Spacecraft formation control strategy on Sun-Earth Lissajous orbit

To carry out the deep space exploration tasks near Sun-Earth Libration point L2, the CRTBP dynamic model was built up and the numerical conditional quasi-periodic orbit (Lissajous orbit) was computed near L2. Then, a formation controller was designed with linear matrix inequality to overcome the difficulty of parameter tuning. To meet the demands of formation accuracy and present thruster’s capability, a threshold scheme was adopted for formation control. Finally, some numerical simulations and analysis were completed to demonstrate the feasibility of the proposed control strategy.     

CO2在多孔介质中扩散系数的测定

为了研究注CO2开采原油时CO2在地层中的扩散系数,采用一维扩散的数学模型,利用一维菲克第二定律和连续性方程推导出了CO2扩散系数的计算公式,设计了多孔介质采用露头砂填充,实验模型装置水平放置而消除了＂对流扩散＂的影响,室内测定CO2扩散系数的双测压点的1 m长的物理模拟装置,得出了在60℃时不同压力下的扩散系数,实验条件更符合矿场实际,研究规律可用于矿场CO2驱过程中的参数优选。     

反旋向多漩流器阵列燃烧室流场的数值研究

采用雷诺应力模型(RSTM)对于反旋向多漩流器阵列贫油直喷(LDI)燃烧室的非反应冷态流场进行了数值模拟.研究中采用了一种3×3的漩流器阵列结构,相邻漩流器的旋向交替变化.计算结果表明,所研究的燃烧室流场结构十分复杂.由于相邻漩流器之间对于漩流的强化作用,因而各回流区维持了较长的长度.流场中存在的多个回流区及强湍流表明该燃烧室有潜力实现良好的燃烧性能.通过将雷诺应力模型的模拟结果与LDV实验数据进行比较发现,计算结果与实验值符合良好,说明雷诺应力模型较好地求解了回流区和高速度梯度问题.     

奥运中心区超标降雨积水风险分析及对策研究

随着城市的发展,城市积水造成了越来越严重的问题.解决问题的关键就是分析超标降雨下的城市积水风险,以指导近期应急排水预案以及远景城市雨水系统改造方案的制定.由于北京市降雨量年内分配很不均匀,汛期暴雨又多表现为局地短历时的大暴雨甚至特大暴雨,造成城市道路（特别是立交桥区）积水问题频发,严重影响城市交通.在此背景下,从保障奥运安全召开的角度出发,以奥运中心区为研究对象,收集整理奥运中心区雨水系统各组成部分相关资料,建立奥运中心区雨水系统数据库,建立奥运中心区雨水系统模型,对超标降雨条件下奥运中心区的可能积水风险进行了分析,并以此为基础进行对策研究和实施效果评价.     

一种基于改进FCM划分算法的T—S模型辨识

鉴于以往T—S模型建模过程中,在模糊划分上存在主观性的差异,提出了一种基于改进模糊C-均值算法的模糊划分方法,使划分结果尽可能地依赖于原始数据的分布情况,进而将该模糊划分算法用于多输入单输出非线性系统的基于T—S模型模糊辨识。在用该方法对多参量水质评价系统进行基于T—S模型模糊辨识建模时,取得了较好的验证效果。该研究结果表明,基于改进模糊C-均值划分算法的T—S模型辨识能在模糊综合评价与决策等应用领域中取得较好的应用效果。     

Logistic模型的参数估计及人口预测

用数值微分和线性拟合化技术对Logistics模型进行了参数估计,由此检验了2005~2007年中国总人口数的误差情况,其中2007年用相关参考文献的等差参数估算方法所得结果的相对误差为5.58%,而本文参数估算所得结果的相对误差为0.114‰,预测取得了理想的效果.