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Full-Text Articles in Engineering
Impact Resistance Of Reinforced Concrete Columns: Experimental Studies And Design Considerations, Alexander Remennikov, Sakdirat Kaewunruen
Impact Resistance Of Reinforced Concrete Columns: Experimental Studies And Design Considerations, Alexander Remennikov, Sakdirat Kaewunruen
Faculty of Engineering - Papers (Archive)
There are instances where reinforced concrete structures designed for static loads are subjected to accidental or deliberate impact or blast loads because of industrial or transportation accidents, military or terrorist activities. Analysis and design of structures for such events require realistic assessment of the ulti-mate impact resistance and a mode of failure of the structure. In this paper, a series of falling weight impact tests on conventionally designed reinforced concrete columns are described. The behaviour of quarter-scale reinforced concrete columns under static and impact loads is presented. An impact load was applied at the mid-height of the columns by a …
Simulation Of Travelling Wave Dielectrophoresis Using A Meshless Method, Dafeng Chen, Hejun Du, Weihua Li, Chang Shu
Simulation Of Travelling Wave Dielectrophoresis Using A Meshless Method, Dafeng Chen, Hejun Du, Weihua Li, Chang Shu
Faculty of Engineering - Papers (Archive)
Manipulation and separation of micron-sized particles, particularly biological particles, using the dielectrophoretic effect is an emerging application in BioMEMS technology. This paper presents a numerical simulation for the four-phase traveling dielectrophoresis (DEP) using a novel meshless method - weighted least square finite difference (LSFD) scheme. The exact boundary condition and nonuniform point distribution were used in the calculation. Numerical results including the electrical potential, electrical field, traveling wave DEP forces and particle behavior are presented. Although the LSFD scheme was originally proposed in solving incompressible viscous flow, it is further demonstrated in this paper that the method is also well …
Cellular Neural Network Based Deformation Simulation With Haptic Force Feedback, Yongmin Zhong, Bijan Shirinzadeh, Gursel Alici, Julian Smith
Cellular Neural Network Based Deformation Simulation With Haptic Force Feedback, Yongmin Zhong, Bijan Shirinzadeh, Gursel Alici, Julian Smith
Faculty of Engineering - Papers (Archive)
This paper presents a new methodology for deformable object modelling by drawing an analogy between cellular neural network (CNN) and elastic deformation. The potential energy stored in an elastic body as a result of a deformation caused by an external force is propagated among mass points by the non-linear CNN activity. An improved CNN model is developed for propagating the energy generated by the external force on the object surface in the natural manner of Poisson equation. The proposed methodology models non-linear materials with nonlinear CNN rather than geometric non-linearity in the most existing deformation methods. It can not only …