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Advanced Building Simulation

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226 Malkawi<br />

Figure 9.7 Structured grid<br />

showing regular connectivity<br />

(Courtesy: Sun 2003). (See<br />

Plate X.)<br />

Figure 9.8 Unstructured<br />

grid showing irregular connectivity<br />

(Courtesy: Sun<br />

2003). (See Plate XI.)<br />

Figure 9.9 Multi-block<br />

grid showing subdomains<br />

or blocks<br />

(Courtesy: Sun 2003).<br />

(See Plate XII.)<br />

the higher the mesh density, the higher the level of simulation accuracy, which leads<br />

to expensive computation. Five major data structures of meshes or grids are typically<br />

used: (1) structured, (2) unstructured, (3) multi-block or block-structured, (4) hybrid,<br />

and (5) Cartesian.<br />

Structured grids consist of regular connectivity where the points of the grid can be<br />

indexed by two indices in 2D and three indices in 3D, etc. Regular connectivity is provided<br />

by identification of adjacent nodes, Figure 9.7.<br />

Unstructured grids consist of irregular connectivity wherein each point has different<br />

neighbors and their connectivity is not trivial. In unstructured grids, the nodes<br />

and their complex connectivity matrix define the irregular forms, Figure 9.8.<br />

Multi-block approach can break complicated geometry into subdomains or blocks;<br />

structured grids are then generated and governing equations can be solved within<br />

each block independently. These grids can handle complex geometrical shapes and<br />

simultaneously undertake a wide range of numerical analysis (Figure 9.9). Some of the<br />

advantages of multi-block grids are as follows: (a) geometry complexity can be greatly<br />

reduced by breaking the physical domain into blocks; (b) since the gridline across<br />

the blocks are discontinuous, more freedom in local grid refinement is possible;<br />

(c) standard structured flow solvers can be used within each block obviating the need<br />

for complicated data structure, book keeping and complex algorithms; and (d) provides<br />

a natural routine for parallel computing, thereby accelerating the simulation.<br />

Hybrid grids are a combination of structured and unstructured grids and are used<br />

for better results and greater accuracy. High grid density can be designed at locations<br />

where there are sharp features of the boundary (Figure 9.10).<br />

Cartesian grids are mostly hexahedral (right parallelopipeds) and the description of<br />

the surface is no longer needed to resolve both the flow and the local geometry

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