Following the previous paper of this series, which addresses the generation approach of three-dimensional DRAGON grids, we demonstrate the capability of effectively performing three-dimensional flow calculations for multicomponents complex configurations. The flow solution is conducted by means of using a seamlessly integrated package made up of two well-validated NASA solvers, which are structured-and unstructured-grid codes, respectively.

We propose a novel approach of three-dimensional hybrid grid methodology, the DRAGON grid method in the three-dimensional space. The DRAGON grid is created by means of a Direct Replacement of Arbitrary Grid Overlapping by Nonstructured grid, and is structured-grid dominated with unstructured grids in small regions. The DRAGON grid scheme is an adaptation to the Chimera thinking. It is capable of preserving the advantageous features of both the structured and unstructured grids, and eliminates/minimizes their shortcomings. In the present paper, we describe essential and programming aspects, and challenges of the three-dimensional DRAGON grid method, with respect to grid generation. We demonstrate the capability of generating computational grids for multi-components complex configurations.

Grid computing technology is a focused field in high performance computing. This paper describes an engineering computation oriented visual grid framework VGrid, which is capable to bridge the gap between currently deployed grid services and the computational applications. Based on the Globus toolkit, and coupled with a client component, a services pool and a server component, VGrid visually performs resource discovery, task schedule, and result processing. VGrid improves the efficiency of utilization of resources by introducing a logical resource concept. VGrid applications of numerical simulations in engineering sciences are demonstrated.

Surface grid generation and the subsequent volume grid generation is the key to unstructured gridbased computational simulation. The baseline entities of the surface models under consideration for use with the proposed surface grid generator are curves and surfaces. There is a necessity to establish a topology relation between the curves and surfaces, prior to a surface gridding process. The present paper addresses issues related to this topology abstraction. Effort has also been made to generally discuss how to bridge the gap between CAD modelling and surface gridding. The proposed procedures have been incorporated into an Interactive Geometry Utility Environment (IGUE). The IGUE is a sub-environment of a Parallel Simulation User Environment (PSUE), which has been developed for unstructured grid-based computational simulation. Arbitrary computer application software can be integrated into the environment to provide a multi-disciplinary engineering analysis capability within one unified computational framework. Examples of computational applications have been included in the present paper, to demonstrate the use of the PSUE and geometry preparation procedure with an emphasis of topology abstraction.

A parallel simulation user environment (PSUE) has been developed for unstructured grid-based computational simulation. Arbitrary computer application software can be integrated into the environment to provide a multi-disciplinary engineering analysis capability within one uni:ed computational framework. It provides an enhanced capability for complex and multiple problem de:nition, a graphics environment for guidance through the grid generation process with visual validation of each step, and robust and computationally e=cient unstructured grid generation modules. This paper addresses an interactive geometry utility environment (IGUE), which is the primary part of the PSUE, providing sophisticated graphical user interfaces with geometric handling capability oriented to the unstructured grid technology. The IGUE is equipped with windowing functionality from the X-Window system, and its underpinning data structure is based on non-manifold topology. Copyright