|
|
 |
Concave Surface Optimization
RPG has developed a proprietary new Shape
Optimizer™ software that allows custom shape design that simultaneously
satisfies the architectural and acoustical requirements. RPG is presently
using this new technology to develop a new generation of optimized surfaces,
as well as collaborating with acousticians worldwide to design custom
surfaces for specific application. To help explain the power of this new
approach, we will describe a case study prompted by a request from an
acoustical consulting firm. The architect requested a concave surface
in the rear of a recital/rehearsal hall, because of existing site restrictions
and aesthetics. Concave surfaces have plagued acousticians for centuries
and so it seemed like an ideal challenge for the new technique. To minimize
the focusing effects associated with a concave surface, we selected the
amplitude modulation feature of the Shape Optimizer™. This feature is
useful when optimization is desired, while maintaining the general features
of the requested surface.

Figure 1. Comparison between the original concave surface (blue) and
the amplitude modulated optimized profile (red)
Optimization Parameters
To optimize this concave arc profile, we require the desired width and
depth, scattering coverage, depth modulation percent (we used 30%), number
of harmonics, and source and receiver locations. 2D surface optimization
will be the subject of a future discussion. The program generates a surface
shape from the specified set of sinusoidal harmonics, which are then used
to amplitude modulate the concave arc. The optimized surface may be constrained
to only include concave sections whose focal point is less than the closest
receiver positions. However, ray tracing and Boundary Element Method (BEM)
analysis indicate that this is a minor issue. In Figure 1 we illustrate
the original concave surface and the amplitude modulated optimized profile.
In this example, sources and receivers were placed between 2 and 6 m from
the surface and scattered between +/- 800. The concave arc has a radius
of about 2.3 m so sources at that location focus straight back onto themselves.
Before and after optimization we must evaluate the performance using a
full BEM analysis. To describe the concave surface before optimization,
we place a source at 2.3 m and evaluate the scattered pressure on a receiver
arc of radius 2.3 m.

Figure 2. Comparison between the 500 Hz angular response of the original
concave surfaced and the optimized profile.

Figure 3. Comparison between the 2 kHz angular response of the original
concave surface and the optimized profile.
Results
In figures 2 and 3, the focusing from the concave arc is apparent by the
concentrated energy at 900. (blue lines). After the optimization has converged
to an acceptable solution, the optimized surface is evaluated as before
using a BEM analysis. In Figures 2 and 3, compare the pressures on a 2.3
m arc from a source at 2.3 m for 500 Hz and 2 kHz, respectively. The red
lines indicate how the focusing present with the concave surface (blue
lines) has been minimized. Ideal diffusion in this case would be a flat
horizontal line. it can be seen that the optimized profile provides excellent
uniform coverage. In Figure 4 we illustrate two photos of the actual installation
at Edwina Palmer Hall (1) and (2), along with a rendering of the surface
from the Shape Optimizer™ program (3). The hall was very well received
and there was no evidence of focusing effects.

Figure 4. Comparison of the rendered image from the Shape Optimizer™
and an actual photo of the completed installation
|
|
Home:
Research & Development: Research
Topics:
Concave Surface Optimization
|