Applied Acoustics 58 (1999) 1ą18
Modelling of sound elds in enclosed spaces
with absorbent room surfaces.
Part I: performance spaces
S.M. Dance*, B.M. Shield
Acoustics Group, School of Engineering Systems and Design, South Bank University, London, UK
Received 12 December 1996; received in revised form 11 September 1998; accepted 8 October 1998
Abstract
This paper introduces a three-part report describing research into the use of Millington
absorption coecients in the computer modelling of sound elds in enclosed spaces with
absorbent room surfaces. The historical background to the prediction of reverberation time is
presented together with three types of computer models used in the investigation. In part one,
the computer models are described, the Millington reverberation time formula is validated,
Millington absorption coecients are derived and the sound eld in a concert hall is predicted.
This enables the accuracy of the three types of computer models to be compared and the eect
of applying dierent absorption coecients to be studied. Part two of the report consists of an
extensive investigation into the prediction of reverberation time in multiple congurations of an
experimental room with absorbent material partially covering the room surfaces. This deter-
mined the accuracy of reverberation time formulae and the computer models using both stan-
dard and Millington absorption coecients under controlled conditions. The nal part
contributes a verication of the accuracy of the predictions using Millington absorption coef-
cients in a factory space with a barrier installed, and a rened diraction model based on a
ray-tracing model. # 1998 Elsevier Science Ltd. All rights reserved.
Keywords: Mathematical modelling; Sound elds; Enclosed spaces; Sound propagation; Reverberation
time; Millington formula
1. Introduction
To fully describe the sound eld in an enclosed space both the spatial and tem-
poral acoustic characteristics should be predicted simultaneously using a consistent
* Corresponding author.
0003-682X/99/$see front matter # 1998 Elsevier Science Ltd. All rights reserved.
PII: S0003-682X(98)00064-4
2 S.M. Dance, B.M. Shield/Applied Acoustics 58 (1999) 1ą18
description of the space. The spatial characteristics are best described using sound
level distribution as this is well understood and can be easily compared to previous
works; similarly reverberation time (RT) can be used as a descriptor of the temporal
characteristics. Previously, it has been found dicult to accurately predict the complete
sound eld in an enclosed space using a consistent room description [1].
There are many types of enclosed space including factories, theatres, atria and
oces, which can be broadly categorised as either work or performance spaces. The
three parts of this paper deal with both performance and work spaces, using three
computer models based on three dierent mathematical approaches. Many compu-
ter models have been developed to predict sound propagation (SP) in work spaces
[2ą4], but little has been published concerning the prediction of reverberation time.
The computer model RAYCUB-DIR REDIR [5] was designed to predict SP in
workspaces and was extended for this investigation to predict RT, creating REDIR
RT. This paper gives a brief historical review of how the prediction of reverberation
time in enclosed spaces has progressed. An explanation as to why the Millington
formula was shown to produce poor predictions is presented. A reverberation time
validation of a recording studio using this information is included, together with a
comparison with results using the Sabine and Eyring formulae. An outline of the
basis of the three dierent computer models used in the investigation is presented
together with a hypothetical investigation to demonstrate the accuracy of the rever-
beration time prediction of the models in the simplest possible room. Finally, the
sound eld in a performance room is simulated using the computer models and the
classical formulae, with both reverberation time and sound propagation being pre-
dicted across a range of frequencies.
2. Historical review of reverberation time prediction
The prediction of reverberation time in enclosed spaces consists of four dierent
approaches: classical theory; numerical solutions; empirical expressions; physical
scale models and mathematical models.
2.1. Classical theory
The prediction of RT in enclosed spaces was rst accomplished by Sabine [6] and
a theoretical basis for this work was developed by Eyring [7] for diuse spaces. For
practical purposes it is generally assumed that the Eyring expression for RT is
applicable if the average absorption coecient is greater than 0.2. In diuse rooms
with less absorption, the Sabine RT formula is generally used. However, recent work
by Hodgson [8,9], has shown that the application of the Sabine theory in certain
types of room can lead to error, and that the Eyring formula gives a more accurate
result. Millington [10] provided an immediate renement to the Eyring formula
whereby the proportionate size of the absorptive material is averaged geometrically
rather than arithmetically, although Gomperts [11] in an extensive analysis of diuse
theory stated that either approach could be correct.
S.M. Dance, B.M. Shield/Applied Acoustics 58 (1999) 1ą18 3
Arau-Puchades [12] developed the idea of Fitzroy [13] based on a theoretical
approach to account for non-uniform distribution of absorption by determining the
inhomogeneity of the sound eld in three directions. The formula was validated in
six congurations of the Mehta and Mulholland [14] experimental space, predicting
to within 10% of the measured values.
2.2. Numerical solutions
Miles [15] derived a numerical solution for the steady state and transient sound
eld in empty enclosed rooms. It was shown that, given the same set of assumptions,
the integral equation could be simplied to the classical formula. The integral
equation also allowed for diuse or Lambertian reŻections without any assumptions
concerning the diuseness of the predicted sound eld, thus the classical assumption
of a diuse reverberant sound eld could be removed. In addition, it was possible to
represent non-uniform distribution of absorption on the room surfaces. Three inte-
gral solutions were found: the steady state solution; the early decay numerical solu-
tion; and a solution for time-varying sources. A hypothetical investigation into the
accuracy of the standard absorption coecient in typical reverberation chambers
with test samples of absorbent material was undertaken. When the test samples were
positioned centrally on one of the room surfaces, covering 7.3% of the total room
surface area, it was found that as the absorption coecient increased the Sabine
result diverged from the exact integral solution. For an acoustically hard test sample
with an absorption coecient of 0.01, the dierence was only 1.0%; increasing the
absorption coecient to 0.2 resulted in a dierence of 5.5%; the deviation rising
linearly to 16.0% when the standard absorption coecient was 1.0.
The prediction of the decay exponent, the denominator in the classical formula,
which is constant for a diuse sound eld was rst attempted by Gerlach and Mel-
lert [16]. This would give an exact solution to the reverberation time in any room.
Gilbert [17] proposed a renement to the Gerlach and Mellert integration based on
an iterative process to establish the path length of each reŻection rather than using
the average length. Kuttru [18] simplied the iteration and hypothetically validated
this method, and compared the results with those of Sabine and Eyring for empty
rooms with dierent absorption distribution and aspect.
2.3. Empirical expressions
To try and predict reverberation time in rooms with a non-uniform distribution of
absorbent material on room Fitzroy [13] combined three Eyring formulae, one for
each pair of parallel surfaces, to account for the non-constant decay rate. The basis
of this research was an intuitive idea and primarily results suggested the method was
accurate.
In work spaces the sound eld is usually non-diuse, that is the sound level
decreases with increasing distance from a sound source. For these types of space, which
may be disproportionate, tted, or have unevenly distributed room surface absorption,
Friberg [19] developed an empirical expression for RT based on measurements in
4 S.M. Dance, B.M. Shield/Applied Acoustics 58 (1999) 1ą18
139 factories. The empirical expression derived was capable of predicting RT at
1 kHz only, based on tabulated constants which varied with the height of the ttings
and the shape of the factory. Hodgson [20] and Orlowski [21] independently vali-
dated the Friberg formulae: Hodgson used two spaces, a 1:50 scale model and a
warehouse, both congured as empty and tted; Orlowski used 15 tted factories.
Both concluded that there was a poor correlation between the measured and the
predicted RT results.
Hirata [22] produced an image-source method based on calculating the density of
the room nodes over a frequency band to predict the sound eld in an enclosed
space. However, for irregularly shaped spaces an approximate formula was intro-
duced to predict the reverberation time in a tunnel section with and without acoustic
treatment.
2.4. Physical scale models
Physical scale model measurements have been extensively used as research tools in
the prediction of RT. Hodgson and Orlowski showed that RT in a 1:16 scale model
of a real factory could be predicted with an accuracy of 10% across the third octave
bands [23]. They further demonstrated that increasing the number of ttings reduced
the RT, independent of frequency. Additionally, it was shown through measure-
ments that varying the size and position of the ttings, which were either iso-
tropically distributed or located on the Żoor, while maintaining the same overall
surface area had no eect on the RT.
Hodgson showed, using a scale model, that in a non-diuse sound eld the Sabine
formula still produced reasonably accurate predictions and hence that diuse
absorption coecients were relevant to non-diuse spaces [24]. Orlowski [25] con-
tinued 1:16 scale modelling by predicting RT in more complex spaces with barriers
and suspended absorbers present; the measurements were within 10% of the full
scale measured values.
2.5. Mathematical models
Four types of computer model have been developed to predict RT in work spaces:
the image-source method [2]; the ray-tracing technique [4]; beam-tracing [26] and
sound particle tracing [27] models.
All the methods have been used primarily in work spaces to predict SP but there
is signicantly less published work on RT prediction. The Schroeder reverse inte-
gration of the impulse response is used in all types of model to generate the energy
decay curve, which can be used to approximate RT and other room acoustic
parameters [28].
Mehta and Mulholland [14] produced the rst computer model to be able to pre-
dict reverberation time based on only geometrical considerations using a ray- tracing
approach. Signicant disagreements were found when the model was validated using
fteen congurations of an experimental room for the 1 kHz one-third octave band.
These disagreements were reduced when the model was modied to approximate the
S.M. Dance, B.M. Shield/Applied Acoustics 58 (1999) 1ą18 5
scattering of sound from the edges and corners of the room, the sound being scat-
tered according to the Eyring formula if it strikes a surface within half a wavelength
of an edge. This modication worked in all cases when at least one entire surface
was covered with absorptive material, but not when a surface was only partially
covered with absorbent.
Hodgson produced an imageąsource model, which could represent a parallele-
piped space with isotropically distributed ttings [29]. In an empty cubic scale model
the imageąsource model produced a similar RT to that predicted by the Eyring for-
mula. In a disproportionate empty scale model both the Eyring formula and the
imageąsource model produced inaccurate predictions, except for the early sound
decay.
Hammad developed an imageąsource model, which could represent empty paral-
lelepiped spaces with sloping Żoor or ceiling [30]. In a preliminary analysis of RT
predictions in a Żat square room, 14 14 5 m, with an average absorption co-
efcient of 0.2, the image-source model produced results which varied with the pre-
diction position. It was found that in the middle of the room the predicted RT was
1.65 s compared to 1.95 s in the corners. The Sabine formula gave the RT as 1.2 s
and the Eyring formula 1.05 s. This would indicate that the room was non-diuse
due to a disproportionate geometry.
Hodgson used an extended version of the ray-tracing model of Ondet and Barbry
[4] to represent two empty scale models and two empty spaces [31]. The model generally
predicted too high a RT, the error becoming greater the more disproportionate the
room, assuming standard absorption coecients and specular reŻecting surfaces.
Diusion was then introduced into the model, assuming a diusion coecient for
each surface of 25%; this produced good agreement between the measured and
predicted RT, with an error of 5%.
Vermeir developed a ray-tracing model for the prediction of RT, so that on-site
analysis could be used for cost benet calculations of various acoustic treatments
[32]. The predictions were optimised by varying the modelling parameters until a
minimum error was produced. The space used for the measurements and predictions
was a large complex factory approximately 30000 m3 in volume, congured both
with and without machines. The 1 kHz predictions were reasonably accurate, with
an error of 3% in the empty case and 21% with the machines installed; overall, for
the third octave bands the errors were 37 and 44% for the empty and tted cases,
respectively. This indicates that modelling RT across a range of frequencies is very
dicult and modelling a tted room is more dicult than an empty room, as would
be expected.
3. The Millington formula
The Millington formula for the prediction of reverberation time has not been
extensively used in computer models in the past, as previous predictions have been
poor [12]. The reason for the consistently under-predicted reverberation time when
the Millington formula is used is that standard based absorption coecients were
6 S.M. Dance, B.M. Shield/Applied Acoustics 58 (1999) 1ą18
used. To enable the Millington formula to be used correctly a conversion graph has
been created, as described below, so that Millington absorption coecients can be
simply found from the standard absorption coecients.
As the information required by both the Sabine and Millington formulae is iden-
tical, but precise details are lacking and hence certain assumptions were necessary in
order to create the conversion graph. The assumptions were based on those of Miles
[15] for a hypothetical reverberation chamber. The absorbent sample size was
assumed to be 10.8 m2 and the room size dimensions were given as 6.0 5.0 4.0 m
with a uniform distribution of absorbent material, the absorption coecient was
assumed to be 0.04.
The conversion graph, shown in Fig. 1 was created by calculating the Sabine
reverberation time as the sample became more absorptive, the absorption coecient
ranged from 0.04 to 1.0. The same procedure was followed in reverse, that is taking
the Sabine reverberation time for a specic sample and calculating the absorption
necessary to give the same value using the Millington formula.
It can be seen that the dierence between a standard and a Millington absorption
coecient is small when the coecient is below 0.2, but grows steadily as the standard
coecient approaches unity. Hence a suitable test for the formulae would be pre-
dictions in rooms where highly absorbent surfaces are prevalent, such as recording
studios and concert halls. A recording studio has therefore been used, as described
below. Subsequently, three computer models were investigated, using both standard
and Millington absorption coecients for the absorbent material, for a concert hall,
as described in Section 6.2.
Fig. 1. The standard to Millington absorption coecient conversion graph.
S.M. Dance, B.M. Shield/Applied Acoustics 58 (1999) 1ą18 7
4. Recording studio predictions
A recording studio was used to test case for the accuracy of the Millington RT
formula using Millington absorption coecients. The predictions were compared to
those of the Sabine and Eyring formulae.
4.1. The recording studio
The recording studio was still under construction when the measurements were
taken. The shell was completed, but the room was empty except for the acoustic
treatment of the walls with framed mineral wool. The studio was 4.88 m long, 4.15 m
wide and 2.4 m high. The Żoor was a screed concrete construction, with a suspended
tile ceiling 0.27 m beneath a wood wool decking. The brick walls were covered with
painted plaster with a 1.43 m tall rockwool frame positioned at a height of 0.71 m
(see Fig. 2). In one wall was a triple glazed window 2.0 m 1.2 m. A loudspeaker was
positioned in one corner of the room, facing the corner, while measurements were
taken at six positions at a height of 1.6 m (see Fig. 2).
4.2. Reverberation time predictions
The standard absorption coecients chosen to represent the absorptive material,
the suspended ceiling and the wall panels, in the recording studio are given in Table 1.
Table 1 shows the measured and predicted reverberation times averaged over all
six receiver positions. The Sabine and Eyring reverberation time formulae used the
standard absorption coecients in Table 1 and the Millington formula used absorp-
tion coecients converted using the graph in Fig. 1.
Fig. 2. The recording studio showing the source and receiver positions and the dierent room surfaces
(hatching).
8 S.M. Dance, B.M. Shield/Applied Acoustics 58 (1999) 1ą18
From Table 2 it is clear that the Millington formula is at least as accurate as the
Eyring or Sabine formulae when the ``corrected'' absorption coecients are used.
Over all the receiver positions and frequencies the Millington formula gave a 10.9%
prediction error, as compared to 12.8 and 20.1% for the Sabine and Eyring for-
mulae, respectively. This demonstrates the accuracy of the Millington formula and
raises the question: What are the correct absorption coecients for use in a com-
puter model based on geometric acoustics?
5. The computer models
The computer models were used to predict the reverberation time in a hypothe-
tical reverberation chamber; sound propagation and reverberation time in a concert
hall; six congurations of an experimental room; a factory space containing a barrier.
The latter two spaces are discussed in parts II and III of this report. Each room was
predicted using both standard absorption coecients and Millington absorption
coecients. The prediction models use three dierent mathematical approaches, all
of which are based on geometric acoustic assumptions [11]. The models used were
REDIR RT, CISM and RAMSETE.
5.1. The REDIR RT model
REDIR RT is a ray-tracing model, which has extended the representational abil-
ity of the Ondet and Barbry model RAYCUB [4] to include sound source directivity
and barrier diraction [5]. REDIR RT was further developed to predict the sound
eld more completely by simultaneously predicting the sound propagation, rever-
beration time, early decay time and the clarity index using a single set of data for
each octave band. To achieve this the entire energy decay curve was predicted by
Table 1
Standard absorption coecients for the absorptive material in the recording studio, 125 Hz to 4 kHz
125 Hz 250 Hz 500 Hz 1 kHz 2 kHz 4 kHz
Ceiling 0.30 0.40 0.50 0.65 0.75 0.70
Wall Panels 0.15 0.65 0.95 0.92 0.80 0.85
Table 2
Measured and predicted reverberation times (sec) in the recording studio, 125 Hz to 4 kHz
125 Hz 250 Hz 500 Hz 1 kHz 2 kHz 4 kHz
Measured 0.60 0.40 0.28 0.38 0.24 0.25
Sabine 0.76 0.39 0.29 0.26 0.26 0.26
Eyring 0.71 0.34 0.24 0.21 0.21 0.21
Millington 0.72 0.37 0.27 0.25 0.24 0.25
S.M. Dance, B.M. Shield/Applied Acoustics 58 (1999) 1ą18 9
geometric acoustics using a 90% energy discontinuity [33]. The energy decay curve
was predicted from a discretised energy response, using intervals of 0.0029 s, and
reverse integrated according to Schroeder [28]. An analysis was performed using a
least squares regression based on a T20 decay. The reŻection order, n, was calculated
from the energy discontinuity percentage as given below
P
ln 1
100
n 1ą
ln1 ą hl
av
where P is the energy discontinuity percentage, is the average absorption coe-
av
cient of the surfaces and ttings, h is the air attenuation coecient (dB/m) and l is
the mean free path length.
Each individual ray is traced until the number of reŻections, from the room sur-
faces, barriers or statistically scattering ttings, is equal to the reŻection order.
REDIR RT calculates the acoustic parameters SPL, RT, EDT and C80 each octave
band separately. The execution time of the model is short at approximately 10 s for
the concert hall on a Pentium Pro personal computer for each frequency investigated.
5.2. The CISM model
CISM [34] is based on the imageąsource method [35] in which the sound is treated
as energy, which is traced along a sound path. A sound path travels from the mirror
image of the source to the real receiver, which is the same journey through imagin-
ary space as the reŻected journey in real space. The sound path is attenuated by air
and room surface absorption. The geometry of the space must be parallelepiped
with absorptive patches being modelled as rectangles on any of the six room surfaces.
Barriers are modelled as rectangular planes, which must be parallel to a room sur-
face and totally sound absorbing. Sound sources are points as are receivers. An
energy discontinuity of 99% provides accurate reverberation time predictions as the
entire decay curve is directly predicted without the need for a linear regression analysis.
CISM models each octave band individually. The run-time for the concert hall was
of the order of a few seconds using a personal computer for each frequency of
interest.
5.3. The RAMSETE model
RAMSETE is a commercial software package developed by Farina [36]. The
mathematics of the model are based on the beam tracing technique, specically
pyramid tracing. Pyramid tracing treats the source as a point, which can emanate
pyramids in eight octets, each of which can be further subdivided. The receiver is
also a point either inside or outside the room, which is encompassed by the pyramid.
Planes are used to dene a room, each plane has an associated absorption coecient
for the ten octave bands 31 Hz to 16 kHz and hence the model is only run once for
all frequencies. The contribution to the receivers from individual sound sources can
be established using the energy response, which is stored for each sourceąreceiver
10 S.M. Dance, B.M. Shield/Applied Acoustics 58 (1999) 1ą18
combination. Diraction can be modelled based on Fresnal theory using the
KurzeąAnderson formula for either single or double diracted beams for any type
of edge.
The precision of the representation is user-dened, the recommended setting have
been found to predict poorly [37] and hence the same settings as were used for
REDIR RT were used for RAMSETE. The model was also capable of modelling
three-dimensional directivity using directivity factors at 10 intervals, although this
was not used, as it was thought to be impractical due to the 1296 directivity factors
involved. The run-times of RAMSETE were of the order of 1 h on a personal com-
puter for the concert hall, including all frequencies of interest.
6. Computer predictions
Computer predictions for performance spaces are complex and hence it was con-
sidered prudent to initially validate the computer models in the simplest space pos-
sible, a hypothetical reverberation chamber. In this space with uniform absorption
distribution the Millington formula gives identical results to those given by the
Eyring formula. Once the models had been shown to give similar results to those of
the Eyring formula the temporal and spatial acoustic characteristics of a concert hall
were predicted using all three models using both sets of absorption coecients.
6.1. Hypothetical reverberation chamber predictions
If a model is to be developed for any type of enclosed space it should rst be tested
in the simplest possible space, hence REDIR RT, CISM and RAMSETE were used
to predict the RT in a hypothetical reverberation chamber, for comparison with the
predictions of the Eyring formula. An accurate prediction in terms of computer
modelling of RT may be taken to be when the error is equal to or less than the dif-
ference between the Sabine and Eyring predictions with an average absorption
coecient of 0.2, a dierence of 14%.
The chamber was assumed to be 7 m long, 6 m wide and 5 m high with evenly
distributed absorption coecients; air absorption was assumed to be 0.001 dB/m for
both the models. Predictions were made for three values of absorption coecient:
0:05; 0:10; 0:2. An energy discontinuity of 99% was necessary due to
the size of the room and the hardness of the room surfaces. The number of reŻec-
tions traced for the three absorption coecients were 83, 42 and 20, respectively.
The sound source was treated as omni-directional and was positioned in one corner
(see Fig. 3), with the receiver in the farthest corner from the source. As the space is
hypothetical, and the model is based on geometric acoustics the frequency at which
the prediction were made is irrelevant.
Table 3 shows the RT values predicted by the REDIR RT, CISM and RAMSETE
models together with those given by the Eyring formula, the Millington formula
gave identical results as the room surfaces are dened as having uniform surface
S.M. Dance, B.M. Shield/Applied Acoustics 58 (1999) 1ą18 11
Fig. 3. The hypothetical reverberation chamber showing the source and receiver positions.
Table 3
REDIR RT, CISM, RAMSETE and Eyring RT predictions (s), in a hypothetical reverberation chamber
with increasing absorption
=0.05 =0.1 =0.2
Eyring 2.86 1.45 0.70
REDIR RT 2.86 1.37 0.66
CISM 3.10 1.56 0.79
RAMSETE 2.43 1.18 0.63
absorption. It can be seen that for an average absorption coecient of 0.05, as in
a typical reverberation chamber, there was no dierence between the value pre-
dicted by REDIR RT and Eyring. CISM predicted reverberation times 8.4% longer
than the Eyring prediction, well within the prescribed limits of accurate predic-
tion; RAMSETE produced a 15% under-prediction. For 0:1 the dierence
compared with the Eyring formula for REDIR RT was 0.08 s, for CISM 0.11 s and
RAMSETE 0.27 s, thus the rst two computer models can be considered to give
accurate predictions, where as the latter gave a 18.6% error. Increasing the absorption
to 0:2 produced predictions by all models within 14% of the Eyring prediction,
the dierence was 5.7% for REDIR, 12.9% for CISM and 10.0% for RAMSETE.
These results demonstrate that the models are accurate in the simplest possible
space, giving an overall average error of 3.5, 9.6 and 14.4% for REDIR RT, CISM
and RAMSETE, respectively. This is similar to those recorded by Hodgson [24], and
thus that they may be of practical use in more realistic spaces.
12 S.M. Dance, B.M. Shield/Applied Acoustics 58 (1999) 1ą18
6.2. The concert hall
The concert hall, shown in Fig. 4, was 34.9 m long, 17.7 m wide and 11.8 m high
and empty. The walls were constructed from plastered and painted brickwork, the
Żoor from timber boards and the barrel vaulted ceiling was plastered; the wall height
was 7.3 m. Located along the length of the room were glazed windows with closely
folded curtains on each side. At one end of the room there was a full width wooden
stage 1.0 m high with a full height velvet curtain across the back stage wall. On the
opposite wall was a partial height curtain (see Fig. 4).
The sound source was omni-directional and a computer measurement system
(MLSSA) was used to take a set of measurements. The measurements were taken
along the length of the room, with the source positioned 23 m from the end wall and
8.39 m from the side wall. The sound source was mounted on a tripod at a height of
1.7 m. Measurements of RT and SPL were made for the 125 Hz to 4 kHz octave
bands at a height of 1.25 m (see Fig. 4).
Each of the computer models represented the room as a parallelepiped shaped
space with absorptive patches corresponding to the curtains at each end of the
room. The curtains hanging against the windows contributed to the average
absorption coecient for each of the long walls. The room was given a geometry
equal in volume to that of the actual space, the stage being represented as being at
the same level as the Żoor. The standard absorption coecients used to represent the
curtains were as follows: 0.14, 0.35, 0.55, 0.72, 0.70 and 0.65 for the six octave bands
125 Hz to 4 kHz.
The number of reŻections was determined using energy discontinuities of 99 and
90% for CISM and REDIR RT, respectively. These gave reŻection orders of 28, 35,
36, 39, 36 and 30 for CISM using the Millington absorption coecients, slightly less
than those using the standard coecients. The REDIR RT and RAMSETE reŻec-
tion orders were exactly half those for the CISM model.
The reverberation time predictions for the classical formulae and the computer
models are discussed separately, with the later discussion being further subdivided
Fig. 4. An illustration of the concert hall with the source and measurement positions.
S.M. Dance, B.M. Shield/Applied Acoustics 58 (1999) 1ą18 13
into Sabine and Millington based predictions. The sound propagation predictions
for the computer models are discussed together.
6.3. Reverberation time results
Table 4 shows the average measured RT for each octave band and the formula
predictions using the corresponding absorption coecients. The Sabine and Eyring
formulae using the standard absorption coecients and the Millington formula
taking the Millington absorption coecients.
Table 4 shows that the average prediction accuracy was less than for the recording
studio at approximately 35.6, 27.9 and 36.6% for Sabine, Eyring and Millington,
respectively. All methods over-predicted the RT by between 0.2 and 1.0 s. This
clearly demonstrates that as a room becomes less diuse the classical formulae begin
to give inaccurate results.
The computer models simultaneously predicted the sound propagation and the
reverberation time using both standard and Millington absorption coecients for
the curtains. Tables 5 and 6 show the average predicted RT for each of the models
using the standard and Millington absorption coecients, respectively.
Table 4
Measured and predicted RT (s) in the concert hall, 125 Hz to 4 kHz
125 Hz 250 Hz 500 Hz 1 kHz 2 kHz 4 kHz
Measured 2.28 2.23 2.24 2.22 2.17 1.93
Sabine 2.61 3.22 3.23 3.21 2.95 2.51
Eyring 2.40 3.02 3.03 3.03 2.82 2.41
Millington 2.49 3.16 3.26 3.24 3.15 2.63
Table 5
Measured and predicted RT (s) in the concert hall using standard absorption coecients, 125 Hz to 4 kHz
125 Hz 250 Hz 500 Hz 1 kHz 2 kHz 4 kHz
Measured 2.28 2.23 2.24 2.22 2.17 1.93
REDIR RT 2.13 2.31 2.04 1.78 1.65 1.49
CISM 2.59 2.43 2.05 1.72 1.54 1.42
RAMSETE 3.15 2.48 2.17 1.88 1.88 1.88
Table 6
Measured and predicted RT (s) in the concert hall using Millington absorption coecients, 125 Hz to
4 kHz
125 Hz 250 Hz 500 Hz 1 kHz 2 kHz 4 kHz
Measured 2.28 2.23 2.24 2.22 2.17 1.93
REDIR RT 2.39 2.51 2.26 2.19 1.96 1.66
CISM 2.68 2.56 2.30 2.10 1.86 1.63
RAMSETE 2.82 2.32 2.10 1.89 1.87 1.87
14 S.M. Dance, B.M. Shield/Applied Acoustics 58 (1999) 1ą18
Table 7
Average predicted SPL errors (dB) in the concert hall, 125 Hz to 4 kHz
Absorption Model 125 Hz 250 Hz 500 Hz 1 kHz 2 kHz 4 kHz Average
REDIR RT 2.8 2.1 1.8 0.5 1.7 2.6 1.9
Standard CISM 2.5 1.9 1.5 0.5 1.8 2.8 1.8
RAMSETE 2.6 2.3 1.8 0.6 2.4 3.5 2.2
REDIR RT 2.5 1.9 1.5 0.5 1.8 2.8 1.8
Millington CISM 2.2 1.7 1.4 0.6 2.2 2.9 1.8
RAMSETE 2.5 2.1 1.6 0.8 2.8 3.8 2.3
Fig. 5. The measured () and REDIR (- - -), CISM ( ), RAMSETE (-.-) predicted sound propagation
using standard absorption coecients, in the concert hall for the 1 kHz octave band.
Comparison of Tables 5 and 6 show that all three mathematical models were more
accurate than the classical formulae, with on average prediction errors of 14.3, 18.2
and 14.0% for REDIR RT, CISM and RAMSETE, respectively.
Table 6 shows that using Millington absorption coecients increased the average
prediction accuracy of REDIR RT and CISM by approximately 7%, and increased
that of RAMSETE by 3%. It should be remember that only one short wall was
covered with absorptive material and hence any improvement would be small. The
predicted reverberation time errors were on average 7.2% for REDIR RT, 11.7%
for CISM and 11.0% for RAMSETE.
S.M. Dance, B.M. Shield/Applied Acoustics 58 (1999) 1ą18 15
Fig. 6. The measured () and REDIR (- - -), CISM ( ), RAMSETE (-.-) predicted sound propagation
using Millington absorption coecients, in the concert hall for the 1 kHz octave band.
6.4. Sound propagation results
The computer models additionally predicted the sound levels along the length of
the concert hall allowing the sound propagation curves to be derived for each of the
six octave bands. Only the SP curve for the 1 kHz octave band is presented, along
with the summary of the predictions for all six octave bands.
Table 7 gives the average absolute prediction errors (the predicted minus the mea-
sured sound level) for each of the three mathematical methods using both standard
and Millington absorption coecients.
In terms of sound level prediction accuracy the dierence between each model
using either the standard or the Millington absorption coecient for the curtains
was marginal, on average 0.1 dB in all cases. The REDIR RT and CISM models
produced similar predictions, giving a 1.8 dB average prediction error overall.
RAMSETE was approximately 0.4 dB worse giving results which were on average
2.2 dB in error.
Fig. 5 shows the 1 kHz measured and predicted sound propagation curves using
the standard absorption coecients. It can be clearly seen that in the reverberant
sound eld, beyond 8 m from the sound source, the sound levels reach a near con-
stant level and hence the room could be said to be diuse. All the models accurately
16 S.M. Dance, B.M. Shield/Applied Acoustics 58 (1999) 1ą18
predicted the sound levels using standard based absorption coecients. In Fig. 6 the
predictions were made using Millington based absorption coecients. The sound
levels, as expected, are approximately 0.8 dB higher in the reverberant sound eld
than those using the standard absorption coecients. Thus this approach also
provides accurate prediction.
7. Summary
The prediction accuracy of both classical formulae and computer models for the
prediction of reverberation time has been investigated in two real spaces, a recording
studio and a concert hall. From the results it was clear that the Millington formula
was as accurate as the Sabine and Eyring formulae when appropriate absorption
coecients were used to represent highly absorbent room surfaces.
Three computer models were tested for their suitability to the prediction of rever-
beration time a simple hypothetical space was designed. As the room was designed
to be diuse the Eyring formula was assumed to be accurate, and it was found that
all models were within 14% on average of value calculated by the Eyring formula. In
a concert hall sound propagation and reverberation time were simultaneously pre-
dicted twice, once using standard absorption coecients and once using Millington
based absorption coecients. It was found that on average across six octave bands
that REDIR RT and CISM models were improved by 7% and RAMSETE by 3%
when Millington rather than standard based absorption coecients were used.
When predicting sound propagation in the concert hall all of the models were similarly
accurate, within 0.5 dB on average, and thus it appears that temporal acoustic
parameters are more dicult to predict than spatial acoustic parameters. There was
no signicant dierence in sound level prediction accuracy when using standard or
Millington absorption coecients in any of the computer models.
Further research has been undertaken to determine the validity of the use of Mil-
lington absorption coecients for highly absorbent material in computer models,
especially in reverberant rooms. Hence the second part of this investigation reports
on the predictions in a test room with at least one surface covered in absorption [38].
In addition it presents the results when only absorptive patches were mounted on the
room surfaces. The third part describes the results obtained when predicting the
insertion loss of an acoustic barrier in a factory space [39]. Also included are the
results of a more rened model for approximating diraction eects.
Acknowledgements
The authors would like to thank Institut National de Recherche et de Se curite
for providing the original RAYCUB model; Dr. Lam of Salford University for
allowing the use of the measurement data; and John Mills for providing access to
the recording studio. This research was funded by the Engineering and Physical
Sciences Research Council.
S.M. Dance, B.M. Shield/Applied Acoustics 58 (1999) 1ą18 17
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