The present paper reports a new discrete complex compliance spectra method in which each frequency component is a direct function of stress and relative density. Comparisons between model calculations and experimental measurements show that the model exhibits excellent quantitative agreement at all experimental stress-relative density states and significantly smoothes the experimental input data. It is anticipated that design engineers will use the present method to accurately predict the creep strain histories resulting from a broad range of specific stress-relative density combinations. [S0021-8936(00)01804-3]

1.
Kumar
,
V.
,
1993
, “
Microcellular Polymers: Novel Materials for the 21st Century
,”
Prog. Rubber Plast. Tech.
,
9
, No.
1
, pp.
54
70
.
2.
Kumar
,
V.
, and
Weller
,
J. E.
,
1994
, “
Production of Microcellular Polycarbonate Using Carbon Dioxide for Bubble Nucleation
,”
ASME J. Eng. Ind.
,
116
, pp.
413
420
.
3.
Kumar
,
V.
, et al.
,
1994
, “
Characterization of Tensile Behavior of Microcellular Polycarbonate
,”
ASME J. Eng. Mater. Technol.
,
116
, pp.
439
445
.
4.
Kumar
,
V.
, and
Weller
,
J. E.
,
1994
, “
A Model for the Unfoamed Skin on Microcellular Foams
,”
Polym. Eng. Sci.
,
34
, pp.
169
173
.
5.
Seeler
,
K. A.
, and
Kumar
,
V.
,
1993
, “
Tension-Tension Fatigue of Microcellular Polycarbonate: Initial Results
,”
J. Reinf. Plast. Compos.
,
12
, No.
3
, pp.
359
376
.
6.
Barlow, C., 1997, Masters thesis, “The Effects of Microstructure on the Fracture Behavior of Microcellular Polycarbonate,” Department of Materials Science and Engineering, University of Washington, Seattle.
7.
Wing, G., 1993, Masters thesis, “Time Dependent Behavior of Microcellular Polycarbonate,” Department of Materials Science and Engineering, University of Washington, Seattle.
8.
Wing
,
G.
, et al.
,
1995
, “
Time Dependent Response of Polycarbonate and Microcellular Polycarbonate
,”
Polym. Eng. Sci.
,
35
, No.
8
, pp.
673
679
.
9.
Brigham, E. O., 1974, The Fast Fourier Transform, Prentice-Hall, Englewood Cliffs, NJ.
10.
Arridge
,
R. G. C.
, and
Barham
,
P. J.
,
1986
, “
Fourier Transform Mechanical Spectroscopy
,”
J. Phys. D: Appl. Phys.
,
19
, pp.
L89–L96
L89–L96
.
11.
Holly
,
E. E.
, et al.
,
1988
, “
Fourier Transform Mechanical Spectroscopy of Viselastic Materials With Transient Structure
,”
J. Non-Newtonian Fluid Mech.
,
27
, pp.
17
26
.
12.
Kamath
,
V. M.
, and
Mackely
,
M. R.
,
1989
, “
Determination of Polymer Relaxation Moduli and Memory Functions Using Integral Transforms
,”
J. Non-Newtonian Fluid Mech.
,
32
, pp.
119
144
.
13.
Aspden
,
R. M.
,
1991
, “
Aliasing Effects in Fourier Transforms of Monotonically Decaying Functions and the Calculation of Viscoelastic Moduli by Combining Transforms Over Different Time Periods
,”
J. Phys. D: Appl. Phys.
,
24
, pp.
803
808
.
14.
Holmes
,
A. D.
, and
Jing
,
F.
,
1994
, “
The Experimental Nature of Stress Relaxation and Recovery of High-Frequency Information
,”
J. Phys. D: Appl. Phys.
,
27
, pp.
2475
2479
.
15.
Armstrong
,
W. D.
,
1998
, “
A Stress Dependent Dynamic Compliance Spectra Approach to the Nonlinear Viscoelastic Response of Polymers
,”
J. Polym. Sci., Part B: Polym. Phys.
,
36
, pp.
2301
2309
.
16.
Armstrong
,
W. D.
, and
Kumar
,
V.
,
2000
, “
A Discrete Complex Compliance Spectra Model of the Nonlinear Viscoelastic Creep and Recovery of Microcellular Polymers
,”
J. Polym. Sci., Part B: Polym. Phys.
,
38
, pp.
691
697
.
You do not currently have access to this content.