Solvent-induced depletion interactions in multiparticle collision dynamic simulations

Molecular-dynamics-coupled multiparticle collision dynamic (MPC-MD) simulations have emerged to be an efficient and versatile tool in the description of mesoscale colloidal dynamics. However, the compressibility of the coarse-grained fluid leads to this method being prone to spurious depletion interactions that may dominate the colloidal dynamics. In this paper, we review the existing methodology to deal with these interactions, establish and report depletion measurements, and present a method to avoid artificial depletion in mesoscale simulation methods.

Train collision dynamic model considering longitudinal and vertical coupling

The train collision dynamic theory is an acceptable method for new vehicle design, which can save a great deal of simulation and experimentation. A train collision dynamic model that considers the longitudinal and vertical coupling is established. The vehicle subsystem and the track subsystem are also considered in the model through the function of the link between the wheel/rail subsystems and the coupler buffer/anti-climber subsystems. The entire train model is analyzed with a coupled feedback system. The dynamic simulation program of the coupled system is developed, the calculation flow of the coupled model is given, and the explicit time domain solution of the model is realized. Two numerical examples with the same kind of vehicle were completed, and the numerical results are compared with the finite element simulation results. The results show that the coupled model is not only close to the finite element model but also greatly shortens the solution time of the collision response. The accuracy and theory of the collision dynamics model in this article are verified. The results of the paper provide new theoretical evidence and a simulation method for further research on the design of the crashworthiness of rail vehicle structures and the collision dynamic evolution during a train collision.

Analysis of the Sparrow Brace Culture of Traditional Wooden Architechture

The sparrow brace has experienced various of changes in shape, crafts, decoration, color during hundreds of years, which changed from a pure mechanical component into a unity of mechanics and aesthetics. The sparrow brace has brought traditional wooden architecture strength and beauty collision, dynamic and static combination and soothing and boosting coordination. The sparrow brace has become a bright pearl in traditional architectural decoration elements when its decorative significance surpassed structural significance in ancient architechture.

An Improved RFID Tag Collision Algorithm

Tag collision is a very important research direction in the RFID system. Probabilistic solving algorithm is one of the important way to solve the tag collision, dynamic frame slot ALOHA (DFSA) algorithm is more commonly used at present and the probabilistic algorithm with better effect. This paper proposes an Advanced DFSA (ADFSA) which is based on a dynamic frame slot ALOHA algorithm, combined with multiplier factor and grouping thoughts. the algorithm is simple, at the same time, the simulation results show that IDFSA algorithm has better performance.

Research on the Collision Process of Inertia Parameters Identification of Unknown Object

To effectively capture an unknown object, inertia parameters such as mass and inertia need to be confirmed. To measure the inertia parameter of unknown object, this paper proposes a measuring method applying to the collision process during capturing. This paper described the collision capturing model with the equivalent spring damping method, set up a collision dynamic mathematical model. Study the influence of the collision times and collision point location on precision of inertia parameter identification. The results show that, increasing the diversity of the collision point and the number of collisions, can reduce the condition number, and improve the identification accuracy. Based on the discernibility matrix made up by the 12 groups’ data in case 6, identification error can be dropped to less than 1%.