A large number of parameters such as material properties, geometry, and structural strength are involved in the design and analysis of cemented hip implants. Uncertainties in these parameters have a potential to compromise the structural performance and lifetime of implants. Statistical analyses are well suited to investigating this type of problem as they can estimate the influence of these uncertainties on the incidence of failure. Recent investigations have focused on the effect of uncertainty in cement properties and loading condition on the integrity of the construct. The present study hypothesizes that geometrical uncertainties will play a role in cement mantle failure. Finite element input parameters were simulated as random variables and different modes of failure were investigated using a response surface method (RSM). The magnitude of random von Mises stresses varied up to 8 MPa, compared with a maximum nominal value of 2.38 MPa. Results obtained using RSM are shown to match well with a benchmark direct Monte Carlo simulation method. The resulting probability that the maximum cement stress will exceed the nominal stress is 62%. The load and the bone and prosthesis geometries were found to be the parameters most likely to influence the magnitude of the cement stresses and therefore to contribute most to the probability of failure.

1.
National Joint Registry for England and Wales
, 2004, First National Report, www.njrcentre.org.ukwww.njrcentre.org.uk.
2.
Browne
,
M.
,
Langley
,
R. S.
, and
Gregson
,
P. J.
, 1999, “
Reliability Theory for Biomedical Implants
,”
Biomaterials
0142-9612,
20
, pp.
1285
1292
.
3.
Ng
,
H. W.
,
Teo
,
E. C.
, and
Lee
,
V. S.
, 2004, “
Statistical Factorial Analysis on the Material Property Sensitivity of the Mechanical Responses of the C4–C6 Under Compression, Anterior and Posterior Shear
,”
J. Biomech.
,
37
, pp.
771
777
. 0021-9290
4.
Nicolella
,
D. P.
, 2001, “
A Probabilistic Analysis of the Cemented Femoral Component of a Total Hip Replacement
,” Ph.D. thesis, Case Western Reserve University, Department of Mechanical and Aerospace Engineering.
5.
Chang
,
P. B.
,
Williams
,
B. J.
,
Bhalla
,
K. S. B.
,
Belknap
,
T. W.
,
Santner
,
T. J.
,
Notz
,
W. I.
, and
Bartel
,
D. L.
, 2001, “
Design and Analysis of Robust Total Joint Replacements: Finite Element Model Experiments With Environmental Variables
,”
ASME J. Biomech. Eng.
0148-0731,
123
, pp.
239
246
.
6.
Laz
,
P. J.
,
Pal
,
S.
,
Halloran
,
J. P.
,
Petrella
,
A. J.
, and
Rullkoetter
,
P. J.
, 2006, “
Probabilistic Finite Element Prediction of Knee Wear Simulator Mechanics
,”
J. Biomech.
0021-9290,
39
, pp.
2303
2310
.
7.
Jasty
,
M.
,
Maloney
,
W. J.
,
Bragdon
,
C. R.
,
O’Connor
,
D. O.
,
Haire
,
T.
, and
Harris
,
W. H.
, 1991, “
The Initiation of Failure in Cemented Femoral Components of Hip Arthroplasties
,”
J. Bone Joint Surg. Br.
,
73B
, pp.
551
558
. 0301-620X
8.
ANSYS
, 2007, ANSYS Theory Reference Manual Release 11.0, Ansys Inc.
9.
Nuno
,
N.
, and
Avanzolini
,
G.
, 2002, “
Residual Stresses at the Stem-Cement Interface of an Idealized Cemented Hip Stem
,”
J. Biomech.
,
35
, pp.
849
852
. 0021-9290
10.
Mehrez
,
L.
, 2007, “
The Application of Probabilistic Methods for the Assessment of Hip Implant Performance
,” Ph.D. thesis, University of Southampton, School of Engineering Sciences.
11.
Huiskes
,
H. W. J.
, 1979, “
Some Fundamental Aspects of Human Joint Replacement
,”
Acta Orthop. Scand. Suppl.
0300-8827,
185
, pp.
109
200
.
12.
Easley
,
S. K.
,
Pal
,
S.
,
Tomaszewski
,
P. R.
,
Petrella
,
A. J.
,
Rullkoetter
,
P. J.
and
Laz
,
P. J.
, 2007, “
Finite Element-Based Probabilistic Analysis Tool for Orthopaedic Applications
,”
Comput. Methods Programs Biomed.
,
85
, pp.
32
40
. 0169-2607
13.
Bucher
,
C. G.
, and
Bourgund
,
U.
, 1990, “
A Fast and Efficient Response Surface Approach for Structural Reliability Problems
,”
Struct. Safety
0167-4730,
7
, pp.
57
66
.
14.
Rajashekhar
,
M. R.
, and
Ellingwood
,
B. R.
, 1993, “
A New Look at the Response Surface Approach for Reliability Analysis
,”
Struct. Safety
0167-4730,
12
, pp.
205
220
.
15.
McKay
,
M. D.
,
Conover
,
W. J.
, and
Beckman
,
R. J.
, 1979, “
A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output From a Computer Code
,”
Technometrics
0040-1706,
21
, pp.
239
245
.
16.
Southwest Research Institute
, 2006, NESSUS Reference Manual, Version 8.3.
17.
Nicolella
,
D. P.
,
Thacker
,
B. H.
,
Katoozian
,
H.
, and
Davy
,
D. T.
, 2005, “
The Effect of Three-Dimensional Shape Optimization on the Probabilistic Response of a Cemented Femoral Hip Prosthesis
,”
J. Biomech.
,
39
(
1
), pp.
1265
1278
. 0021-9290
18.
Lennon
,
A. B.
, and
Prendergast
,
P. J.
, 2001, “
Evaluation of Cement Stresses in Finite Element Analyses of Cemented Orthopaedic Implants
,”
ASME J. Biomech. Eng.
0148-0731,
123
, pp.
623
628
.
19.
Wu
,
Y. T.
,
Millwater
,
H. R.
, and
Cruse
,
T. A.
, 1990, “
Advanced Probabilistic Structural Analysis Method for Implicit Performance Functions
,”
AIAA J.
0001-1452,
28
, pp.
1663
1669
.
20.
Haldar
,
A.
, and
Mahadevan
,
S.
, 2001,
Probability, Reliability and Statistical Methods in Engineering Design
,
Wiley
,
New York
.
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