Reproducing kernel particle method for numerical analysis of Mindlin plate bending on a Winkler foundation

The reproducing kernel particle method (RKPM) is a typical meshless method based on kernel function simulation. Based on the interpolating shape function of RKPM and Mindlin plate theory, the governing equations of RKPM to the deflection solution of Mindlin plate bending on a Winkler elastic soil foundation are established. Numerical results indicate that the above method and the corresponding program are effective and accurate.     

A New Dynamic Method for Calculating NPV

NPV have been widely applied. A majority of the existing calculating methods of cash flow are the static method or the expectation method. It is more reasonable to regard future cash flow as random variable which has certain probability distribution, which shifts with time. But the research about it has been introduced rarely. Through introducing some kinds of existing methods and considering the feature of Markov method, a dynamic method which is used in solved the distributing of indeterminate feature cash flow is showed. So a new kind of dynamic calculation method about NPV is obtained. The method is applied in the calculation to future cash flow of the certain highway investment project of China. The result shows that this method is feasible, effective.     

Neumann Series Solution of Newmark Method and Its Convergence for Solving Dynamic Equations

The convergence of Newmark Neumann series method for solving dynamic equations is discussed.Conditions of convergence and the estimating expressions of approximate solution and error for the series solution are also given.     

Dynamic Identification System and Application

Novel and secure dynamic identification system comprises electrical tokens, a secure identification server, a management workstation and application Programming Interface. Dynamic password is generated with synchronous and asynchronous identification algorithms. Since there is no correlation between passwords, they cannot be predicted, traced, intercepted or decoded. Thus the reliability of identification is enhanced. This paper first introduces principles of synchronous and asynchronous identification based on time and events, and then gives a through analysis of security in dynamic identification techniques. A brief introduction is given about identification issues in current stock industry. With event-based synchronous identification as an example, we give a detailed introduction of dynamic identification techniques with the application in stock exchange and integration of identification system and client system.     

Research of the Estimate of Our Country''s University Science Park Based on the Analytic Hierarchy Process Method and the Dynamic Clustering Method

The development of university science park is very rapid, its evaluation is a problem that to be solved. According to the feathers of university science park, the authors select the analytic hierarchy process as the basic evaluating method to develop elements of university science park, and then use the dynamic clustering to do the synthetical evaluation to the general developing status. The examples show this evaluating system is simple and practical. The system can provide decision-making functions to the development of university science park.     

Simplified Method for Evaluating the Elastic Dynamic Instability of the Long Span Arch Bridge

Based on the sense of Liapunov dynamic stability and the features of elastic buckling of arch bridge, and using the static buckling eigenvalue as well as linear time history analysis result, a simplified method for evaluating the elastic dynamic instability was developed from the so called “dynamic eigenvalue method” that needs to extract the minimum buckling eigenvalues step by step under the whole earthquake excitation. The presented method was compared and validated to be efficient and accurate via a case study, and therefore it could be used as a more effective method to study the dynamic stability issue of long span arch bridges and other civil engineering structures.     

Particle Sizing with Dynamic Light Scattering

The authors introduce the basic theory of dynamic light scattering(DLS).The basis components of experimental system are introduced,and the major things are the laser,PMT and digital correlation.They measure many particles that ranging between nanometer and micron.The factors are analyzed that influence the results,which are particles' dispersion and solubility,receiving area of PMT.They suppose some ways to obtain better result,and that is worth consulting for getting the correct result.     

Dynamic Constitutive Model of Steel Fiber Reinforced Concrete and Its Finite Element Method

Taking the split Hopkinson pressure bar(SHPB) test data as training samples, an implicit dynamic constitutive model of steel fiber reinforced concrete(SFRC) was proposed with the improved BP neural network program. On the basis of ABAQUS/Explicit, a user defined material subroutine VUMAT was compiled with FORTRAN language, embedding with the neural network constitutive model into finite element calculation. With SFRC structure＇s response under impact load as case study, it is shown that the constructed constitutive model and its finite element method are effective.     

Method for Calculating Steady Vibration Response of Shafting with Local Nonlinearity

A method which is used for calculating steady vibration response of shipping propulsion shafting connecting with a coupling with nonlinear hysteresis characteristics are studied. On condition that the nonlinear dynamic stiffness and hysteresis damping of the coupling be considered, on the basis of GLM(Galerki Levenberg Marquard) method, a method called SSGILM(Separate System Galerkin and Improved Levenberg-Marquardt)to be used for calculating steady vibration response of propulsion shafting with local nonlinear dynamic stiffness and hysteresis damping, is proposed. A simple example is given out and the analyses show that it is effective to calculate steady vibration response of the shafting with local nonlinear dynamic stiffness and hysteresis damping by SSGILM method. From initial response values given arbitrarily, the automatic search algorithm in SSGILM method can converge the given initial response values to the response values accorded with required accuracy quickly; nonlinear dynamic stiffness and hysteresis damping of the coupling have different effect on vibration response of the shafting at different range of frequency. At the area of close nature frequency of the shafting ,displacement amplitude of the shafting is bigger. Beyond the range, the characteristics of the coupling have restraint effect on vibration of the shafting.     

Analysis on Dynamic Properties of Monolayer Cable Net for Point -supported Glass Facade

Monolayer cable net system for point - supported glass facade is a kind of flexible tension structures with relatively strong nonlinearity. Its stiffness greatly depends on the pretension in cables. Yet there are few literatures at present reported on its dynamic properties. The characteristic of modal analysis for flexible pre - stressed structures such as cable structures is expatiated herein. Corresponding program was developed to analyze two important factors such as pretension and geometric nonlinearity for dynamic behaviors of cable net herein. It is demonstrated that large errors are brought about by omitting nonlinearity. There exists apparent nonlinear relationship between vibration frequency and pretension in cables. The influence of pretension and geometric nonlinearity on the dynamic properties of cable net is in coordination with each other.     

Dynamic SOM Customer Segmentation Method in Customer Knowledge Management

A customer segmentation method based on dynamic SOM and RFM indicators is presented. Firstly, customer clusters is generated by DSOM clustering analysis. Secondly, customer loyalty, customer scale and customer credit are simulated by RFM behaviors of customer, and then customer clusters are identified. Finally, the value of customers can be decided according to the customer segmentation results, and enterprises are able to provide better different service levels to different customers. It provides customer strategies of enterprises with an effective support and decision-making.     

Hybrid Intelligent Method for Dynamic Reactive Power Optimization

In dynamic reactive power optimization problem(DRPO), action number constraints of discrete variables should be considered.By integrating immune genetic algorithm(IGA) and nonlinear interior point method(NIPM), a hybrid method for DRPO is proposed.First,the original DRPO problem is converted to a continuous optimization problem by relaxing the discrete variables,and the solution is obtained by NIPM.Then,according to the feature of control variables,the original DRPO problem is decomposed into a continuous optimization sub-problem and a discrete optimization sub-problem.The discrete optimization sub-problem is solved by IGA,and the continuous one is solved by NIPM.By solving the two sub-problems alternately,the optimal solution of the DRPO can be obtained.The proposed hybrid method combines advantages of IGA and NIPM,and finds the approximate optimal solution of DRPO.Numerical simulations on the IEEE 14 bus system illustrate that the proposed hybrid method is effective.     

Comparison and Improvement of SBR Dynamic Method

SBR method is the short for intermittent sequencing batch freatment that is an ideal techmology to order a certain amount of intermittent operation of the activated sludge treatment process. SBR which is currently an in-depth study of the biological wastewater treatment technology is a simple process, the effect of stability, small footprint, and strong resistance to shock load and has good advantages of nitrogen and phosphorus removal capacity. This study first analyzes and discusses substrate degradation process of SBR method , compares among several different SBR methods, and then derives microbial growth and substrate degradation kinetics relationship with a view to promoting the progress of the work in this area.     

Application of BP Neural Networks in Inventory Dynamic Modeling

The authors establish an original inventory model based on BP neural networks in dynamic environment using the inventory history data, and overcome the net overfitting problem occurred with insufficient samples by using early stopping method. After a simple-relation inventory model training is attained, they get inventory model and analyze it dynamically by reconstructing the model after getting new sample data. An example is provided to illustrate the model. The theoretical evidence is provided for the inventory system to make management decision.     

Method for Dynamic Tasks Allocation in Automatic Shop Based-on the Idea of AM

A distributed scheduling method in a networked manufacturing enviroment is given. A allocation algorithm for dynamic tasks in distributed systems based on LAN information in factories is introduced. The design goal is to obtain some better comprehensive targets, such as cost price, load balance, waiting time and efficient of systems.     

PBL-CBT教学模式在“食品化学”课程教学中的应用与探索

改变传统的教学模式,让课堂充满活力,激发学生的学习兴趣,从而增强“食品化学”的课堂理论教学效果,是“食品化学”课堂理论教学面临的主要问题。将问题导向教学模式和案例分析教学模式有机结合起来,对“食品化学”课堂理论教学的改革进行探索。通过这些教学改革,促进了教师与学生双向提升,收到了显著成效。     

And/or Dag Method in Dynamic Design and Maintenance of Data Warehouse

A data warehouse (DW) is taken as a set of materialized views defined over base relations. It is dynamic entity that evolves continually over time .As time passes, new queries can be made into new views to be added to the DW. Data Warehouse is expressed as and/or dag can describe the relations between queries in DW preferably. Thus, the design of DW can simulate the problem of state space search, relevant exchange rule may define state exchange rule. It can achieve the dynamic design of DW by exchanging and predigesting of state space search. A dynamic design way is proposed to add the new views to the DW by an example.     

基于气候适宜度指数的山东省冬小麦产量动态预报

利用山东省主产区冬小麦产量资料、生育期内的温度、降水量、日照时数资料,结合冬小麦生理特性,分别构建了冬小麦温度、降水及日照适宜度模型,利用气候适宜度与冬小麦产量的关系,建立基于气候适宜度的冬小麦产量动态预报模型。通过对2008～2010年冬小麦产量进行动态预报, 结果表明, 3月31日、4月30日和5月31日预报的小麦产量丰歉趋势的预报平均正确率均为100%,单产预报平均准确率分别为95.1%、95.1%和95.4%,预报准确率较高,能够满足业务服务的需要。