25
Marhemoncu/ Mode/lm~. Vol. 4. pp. Il7-141. 1983 Primed 8” the USA All nghrs reserved 027&025S:X3 13 00 + 00 Copyright 8 19X3 Pergamon Prer\ Ltd DYNAMIC MODELLING OF HUMAN ARTICULATING JOINTS ALI ERKAN ENGIN AND MANSSOUR H. MOEINZADEH* Department of Engineering Mechanics Ohio State University Columbus. Ohio 43210. USA Communicated by Xavier J. R. Avula Abstract-Dynamic simulation of mechanical behavior and response of the total human body to external forces provide essential input for the injury prediction criteria and subsequent design and development of crash protection systems. The most sophisticated versions of the total-human-body models are articulated and multisegmented to simulate all the major articulating joints and segments of the human body. Effectiveness of the multisegmented models to predict accurately live human response depends heavily on the proper biomechanical description and simulation of the articulating joints. This paper is concerned with a mathematical modelling of an articulating joint defined by contact surfaces of two body segments which execute a relative dynamic motion within the constraints of ligament forces. Mathematical equations for the joint model are in the form of second-order nonlinear differential equations coupled with nonlinear algebraic constraint conditions. Differential equations of motion are reduced to a set of nonlinear simultaneous algebraic equations by applying the Newmark method of differential approximation. By subsequent application of Newton-Raphson iteration process the same equations are converted to a set of simultaneous linear algebraic equations. Iteration process is continued until a solution vector of unknowns satisfying a prescribed convergence criterion is obtained. The two- dimensional version of the mathematical joint model is applied to human knee joint for several dynamic loading conditions on tibia. Results for the ligament and contact forces, contact point locations between femur and tibia and the corresponding dynamic orientation of tibia with respect to femur are obtained. I. INTRODUCTION The mechanical behavior of the musculoskeletal system and the associated mathematical models have become an important area of biomechanics research. In orthopaedics. devel- opments in artificial replacements and reconstructive surgery have demanded greater knowledge of the mechanical functions of the major joints. In other disciplines such as sports medicine. crash protection, and vehicle design related applications an increasing interest in the motions and forces in the human body is noted. This need for a better understanding of the complicated mechanical behavior of biological structures has led to the introduction of research methods and mathematical tools from the fields of life sciences as well as applied and theoretical mechanics. In attempting to understanding the biodynamic response of the human body subjected to Presented at the Third international Conference on Mathematical Modeling, July 29-31, 198 I, Los Angeles, California. USA *Current address: Department of General Engineering, University of Illinois at Urbana-Champaigne, Urbana, Illinois 61801. USA.

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Page 1: DYNAMIC MODELLING OF HUMAN ARTICULATING JOINTSconcerned with a mathematical modelling of an articulating joint defined by contact surfaces of two body segments which execute a relative

Marhemoncu/ Mode/lm~. Vol. 4. pp. Il7-141. 1983 Primed 8” the USA All nghrs reserved

027&025S:X3 13 00 + 00 Copyright 8 19X3 Pergamon Prer\ Ltd

DYNAMIC MODELLING OF HUMAN ARTICULATING JOINTS

ALI ERKAN ENGIN AND MANSSOUR H. MOEINZADEH*

Department of Engineering Mechanics Ohio State University

Columbus. Ohio 43210. USA

Communicated by Xavier J. R. Avula

Abstract-Dynamic simulation of mechanical behavior and response of the total human body to external forces provide essential input for the injury prediction criteria and subsequent design and development of crash protection systems. The most sophisticated versions of the total-human-body models are articulated and multisegmented to simulate all the major articulating joints and segments of the human body. Effectiveness of the multisegmented models to predict accurately live human response depends heavily on the proper biomechanical description and simulation of the articulating joints. This paper is concerned with a mathematical modelling of an articulating joint defined by contact surfaces of two body segments which execute a relative dynamic motion within the constraints of ligament forces. Mathematical equations for the joint model are in the form of second-order nonlinear differential equations coupled with nonlinear algebraic constraint conditions. Differential equations of motion are reduced to a set of nonlinear simultaneous algebraic equations by applying the Newmark method of differential approximation. By subsequent application of Newton-Raphson iteration process the same equations are converted to a set of simultaneous linear algebraic equations. Iteration process is continued until a solution vector of unknowns satisfying a prescribed convergence criterion is obtained. The two- dimensional version of the mathematical joint model is applied to human knee joint for several dynamic loading conditions on tibia. Results for the ligament and contact forces, contact point locations between femur and tibia and the corresponding dynamic orientation of tibia with respect to femur are obtained.

I. INTRODUCTION

The mechanical behavior of the musculoskeletal system and the associated mathematical models have become an important area of biomechanics research. In orthopaedics. devel- opments in artificial replacements and reconstructive surgery have demanded greater knowledge of the mechanical functions of the major joints. In other disciplines such as sports medicine. crash protection, and vehicle design related applications an increasing interest in the motions and forces in the human body is noted. This need for a better understanding of the complicated mechanical behavior of biological structures has led to the introduction of research methods and mathematical tools from the fields of life sciences as well as applied and theoretical mechanics.

In attempting to understanding the biodynamic response of the human body subjected to

Presented at the Third international Conference on Mathematical Modeling, July 29-31, 198 I, Los Angeles, California. USA

*Current address: Department of General Engineering, University of Illinois at Urbana-Champaigne, Urbana, Illinois 61801. USA.

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118 ALI ERKAN ENCIN AND MANS.WUFC H. MOEINZADEH

expected and/or unexpected external load conditions, properly developed mathematical models can provide a sound basis for the design of support-restraint systems and vehicles as well. The most sophisticated versions of these mathematical models are the articulated and multisegmented total-human-body models which initially appeared in the crash victim simulation literature. These models simulate all the major articulating joints and segments of the human body. Representative references are McHenry [l], Bartz and Butler [2], Huston et al. [3], Fleck et al. [4], and Fleck [5].

The effectiveness of these multisegmented models to accurately predict in viva response depends upon the biomechanical description and simulation of the articulating joints. This study, therefore, concerns with the analysis of the mechanical behavior of the major articulating joints and the development of mathematical models simulating their dynamic behavior. In general mathematical models are based on physical principles and consist of a set of mathematical relations among relevant parameters of the system. Assumptions and simplifications are introduced, ignoring elements assumed not to be relevant to the system’s behavior. The relevant parameters of the system are defined and the relations are specified. This descriptive model is then expressed as a set of mathematical relations among the chosen parameters. The values assigned to the system’s parameters are selected from the literature or determined by measurement. In some cases, the parameters cannot be measured and their values must be estimated.

Validation of a model is established when the model predictions correlate acceptably with data in the literature and, if available, with results of experiments. Within the framework of the present study, no validation experiments were conducted, so that model predictions could be compared only with experiments reported in the literature. Considering the conditions of the reported experiments are only partly known and owing to the variability between specimens, such a comparison should be viewed as an approximate one.

In this paper, first, a formulation of a three-dimensional mathematical dynamic model of a general two-body-segmented articulating joint is presented. The two-dimensional version of this formulation subsequently is applied to the human knee joint to investigate the relative dynamic motions between femur and tibia as well as the ligament and contact forces developed in the joint. This mathematical joint model takes into account the geometry of the articulating surfaces and the appropriate constitutive behavior of the joint ligaments. Salient features of the mathematical model are presented in the numerical results and discussion section of the paper by considering application of two types of dynamic pulse shapes on the moving body segment.

II. FORMULATION

In the present work the articulating joint will be modelled by two rigid body segments connected by nonlinear springs simulating the ligaments. It is assumed that one body segment is rigidly fixed while the second body segment is undergoing a general three-dimensional dynamic motion relative to the fixed one. The coefficients of friction between the articulating surfaces are assumed to be negligible. This is a valid assumption due to the presence of synovial fluid between the articulating surfaces [6]. Accordingly, the friction force between the articulating surfaces will be neglected.

Characterization of the relative positions

The position of the moving body segment 1 relative to fixed body segment 2 is described by two coordinate systems as shown in Fig. 1. The inertial coordinate system (x, y, z) with unit vectors i, j and l is connected to the fixed body segment and the coordinate system (x’, y’, z’) with unit vectors ?‘,J, and R’ is attached to the center of mass of the moving body

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119 Human a~ic~ating joints

tiEGfvIENT 1

f&i

GMENT ;

Fig. 1. A two-body segmented joint is illustrated in three dimensions, showing the position of a point, Q, attached to the moving coordinate system (x’, y’, 2’).

segment. The (AC’, y’, z’) coordinate system is also taken to be the principa1 axis system of the moving body segment. The motion of the moving (x’, y’, z’) system relative to the fixed (x, y, z) system may be characterized by six quantities: the translational movement of the origin of the (x’, y’, 2’) system in the x, y, and z directions, and 8, 4, and @ rotations with respect to the x, y, and z axes.

Let the position vector of the origin of the (x’, y’, 2’) system in the fixed system be given by (Fig. 1):

Fa = X,i + y*j + z& 0)

Let the vector, jjh, be the position vector of an arbitrary point, Q, on the moving body segment in the base (i,j’, R). Let ?Q be the position vector of the same point in the base (i,j, 12). That is,

& = xbi’ f ybj’ + z;ztt, (2)

PQ = xei + ypi + z& (3)

Referring to Fig. 1, vectors pb and ?a have the following relationship:

(raI = (G) + [W(p&), (4)

where [T’j is a 3 x 3 orthogonal transformation matrix. The angular orientation of the (x’,

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120 ALI ERKAN ENGIN AND MANSWIJR H. MOEINZADEH

?“, = ‘) system with respect to the (s, _r, Z) system is specified by the nine components of the [T] matrix and can be written as a function of the three variables. 8, 4, and II/:

T= T(O,&$). (3

There are several systems of variables such as 8, 4. and $ which can be used to specify T. In this study the Euler angles will be utilized.

The orientation of the moving coordinate system (i’, j’, R’) is obtained from the fixed coordinate system (i, j, k) by applying successive rotation angles, 4, 0, and II/ (Fig. 2). First, the (i,j, k) system is rotated through an angle I#I about the z-axis (Fig. 2a). which results in the intermediary system (i,,j, &,). The second rotation through an angle 0 about the [,-axis (Fig. 2b), produces the intermediary system (iZ, j2, k;), and the third rotation through an angle I++ about the /&axis (Fig. 2c), gives the final orientation of the moving (i’,j’. F’) system relative to the fixed (i,j, f ) system. The orthogonal transformation matrix [T] resulting from above rotations is given by

:

cos4 cost/Q cos$ sir@ - Isit+ co& sin4 + lsin$ co& cosf#~

sine sin*

VI= - sir@ cosq5 -sin* sine5 (6) -cos$ cost3 sin4 + cos$ case cosf$

cosI(I sin6

sin4 sin0 - sine co@ case I

Contact conditions

Assuming rigid body contacts between the two body segments at points C,(i = 1.2) as shown in Fig. 1, let us represent the contact surfaces by smooth mathematical functions of the following form:

(7)

Cl) + along ii b) 8 along ?*

Fig. 2. Successive rotations of 4. 0, and JI, of the (x. y, z) coordinate system.

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Human articulating joints 121

y’ = g(x’, 2’). (8)

As implied, Eqs. (7) and (8) represent the fixed and the moving surfaces, respectively. The position vectors of the contact points Ci (i = 1,2) in the base (i,j, f) is denoted by

r,, = x,i +f(x,,, ZJj- + z$ (9)

and the corresponding ones in the base (i’,j’, &) are given by

ps, = x:!’ + g(x& z:,!y + z$. (10)

Then, at each contact point Ci, the following relationship must hold:

{rci> = (rJ + LTIPL,). (11)

This is a part of the geometric compatibility condition for the two contact surfaces. Furthermore, the unit normals to the surfaces of the moving and fixed body segments at the points of contacts must be colinear.

Let Is,,(i = 1,2) be the unit normals to the fixed surface, y =f(x, z), at the contact points, Ci(i = 1,2), then

tic1 = J& ax, (%)~(!S) i=l,2

where ?=, is given in Eq. (9) and the components of the matrix [G] are determined by

i=l,2

with

I x =xc, x2=zc, , x3 =f(xc,, zc).

Therefore, the components of matrix [Gk,] may be written as

Since (az,/ax,) = 0 and (ax,/az,) = 0, then the components of matrix [Gk,] reduce to

(12)

(13)

W)

W)

(154 G xx

G .?: (15b)

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122 ALI ERKAN ENGIN AND MANSSXJR H. MOEINWDEH

From Eqs. (15), the det[G] can be written as

(16)

and therefore the unit outward normals expressed in Eq. (12) will have the following form:

(17)

where the parameter, y, is chosen such that li, represents the outward normal. Similarly, following the same procedure as outlined above liii(i = 1,2), the unit outward normal to the moving surface, y’ =g(x’, z’), at contact points, C,{i = 1,2), and expressed in (i’,jl, RI) system, can be written as

where the parameter, /?, is chosen such that Al represents the outward normal. Colinea~ty of unit normals at each contact point C,(i = 1,2), requires that

(4,) = - PT(~rJ. (19)

Note that colinearity condition can also be satisfied by requiring that the cross product (nci x Trnii) be zero.

Ligament and contact forces

During its motion the moving body segment is subjected to the ligament forces, contact forces and the externally applied forces and moments (Fig. 3). The contact forces and the ligament forces are the unknowns of the problem and the external forces and moments will be specified. These forces are discussed in some detail in the following paragraphs.

The ligaments are modelled as nonlinear elastic springs. To be more specific, for the major ligaments of the knee joint the following force-elongation relationship can be assumed:

F, = Kj(Lj - 4)” for Li > 4, W4

in which Kj is the spring constant, Lj and 4 are, respectively, the current and initial lengths of the ligament j. The tensile force in the jth ligament, thus, designated by Fp It is assumed that the ligaments can not carry any compressive force; accordingly,

F,=o for Lj<I,_ VW

The stiffness values, Ki, are estimated according to the data available in the literature [7, 81. Let (@& be the position vector in the base (i’,y, i?) of the insertion point of the ligament,

j, in the moving body segment. The position vector of the origin point of the same ligament,

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Human articulating joints 123

Fig. 3. Forces acting on the moving body segment of a two-body segmented joint in three dimensions.

j, in the fixed body segment is denoted by (Fzj), in the base (i,j, f). Here the subscripts m and

foutside the parenthesis imply “moving” and “fixed,” respectively. The current length of the ligament is given by

Lj = J[(fzj)/- io - TT( pi)J . [(izj), - ie - TT( ,Gj),,J. (21)

The unit vector, 4, along the ligament,j, directed from the moving to the fixed body segment is

Thus, the axial force in the ligament, 1, in its vectorial form, becomes

4= F&, (23)

where Fj is given by EQ. (20). Since the friction force between the moving and fixed body segment is neglected, the contact force will be in the direction of the normal to the surface at the point of contact. The contact forces, Ni, acting on the moving body segment is given by

Ni = INi([Cnq)E + Cnq>J + (nci)zRl* (24)

where lNil are the unknown magnitudes of the contact forces and (n,),, (n& and (n,,), are the components of the unit normal, ti,, in the x, y, and z directions, respectively.

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124 ALI ERKAN ENGIN AND MANSWUR H. MOEINZADEH

In general, the moving body segment of the joint is subjected to various external forces and moments whose resultants at the center of mass of the moving body segment are given as

Equations of motion

The equations governing the forced motion of the moving body segment are

i-l j- 1 (27b)

(27~)

(284

WW

(28~)

where p and q represent the number of ligaments and the contact point, respectively. IX,+ I,,,,,, and I,,,, are the principal moments of inertia of the moving body segment about its centroidal principal axis system (x’, y’, z’), and CO,, o,,,, and CO,., are the components of the angular velocity vector which are given below in terms of the Euler angles:

wX, = B co@ + f$ sin0 sin* (29a)

WY, = B sin* + q5 sin0 co@ (29b)

CO,, = d cos I9 + 4 (29~)

The angular acceleration components, k,, c6,,, and c3, are directly obtained from Eq. (29):

(3, = 8’ cos $ - $ (4 sin JI - d cosJl sine) + 4 sin0 sin+ + &I cos0 sin+ Wa)

tiY, = - &sin+ - 1+4 (8 cos$ + 4 sin+ sine) + f$ sine cos$ + &I c0se co@ VW

ti,. = 6 c0se - ~$4 sine + J;. (304

Note that the moment components shown on the left-hand side of equations (28) have the following terms:

(31) i-1

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Human articulating joints 125

where n;i, is applied external moment, and p and q represent the number of ligaments and contact points, respectively.

Equations (27) and (28) form a set of six nonlinear second-order differential equations which, together with the contact conditions (11) and (19), form a set of 16 nonlinear equations (assuming two contact points, i.e., i = 1,2) with 16 unknowns: (a) 0, 4, and $, which determine the components of transformation matrix [7”j; (b) x0, yO, and zO: the components of position vector ?O; (c) xci, zci, xzi and zii (i = 1,2): the coordinates of contact points; (d) lNil (i = 1,2): the magnitudes of the contact forces. The problem description is completed by assigning the initial conditions which are

* -- x0 - Yo =io=o (324

,=c3y=ci),=o WI

along with specified values for x0, y,, z,, 8, 4, and $ at t = 0. The numerical procedure employed in the solution of the governing equations is described in the following section.

III. NUMERICAL PROCEDURE

The governing equations of the initial value problem at hand are the six equations of motion (27) and (28), four contact conditions (11) and six geometric compatibility conditions (19). The main unknowns of the problem are x,,, yo, z,, 0, 4, $, x,,, z,,, xc*, z~*, xi,, z&, x& z$ N,, and N2. The problem is, thus, reduced to the solution of a set of simultaneous nonlinear differential and algebraic equations.

The first step in arriving at a numerical solution of these equations is the replacement of the time derivatives with a temporal operator; in the present work, the Newmark operators [9] are chosen for this purpose. For instance, Z. is expressed in the following form:

%I = (&)2 4(xb-x;-‘3-~~‘-A’-~~-b(,

(33W

in which At is the time increment and the superscripts refer to the time stations. Similar expressions may be used for ji,, fo, &I$ and $. In the application of Eqs. (33), the conditions at the previous time station (t - dz) are, of course, assumed to be known.

After the time derivatives in Eqs. (27) and (28) are replaced with the temporal operators defined, the governing equations take the form of a set of nonlinear algebraic equations. The solution of these equations is complicated by the fact that iteration or perturbation methods must be used. In this work, the Newton-Raphson [lo] iteration process is used for the solution. To linearize the resulting set of simultaneous algebraic equations we assume

kx;=k-lx;)+Axo (34)

and similar expressions for the other variables are written. Here, the right superscripts denote the time station under consideration and the left superscripts denote the iteration number. At each iteration k the values of the variables at the previous (k - 1) iteration are assumed to be known. The delta quantities denote incremental values. Equation (34) and the

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126 ALI ERKAN ENGIN AM) Mmsowt H. MOEINZADLW

corresponding ones for the other variables are substituted into the governing nonlinear algebraic equations and the higher order terms in the delta quantities are dropped. The set of n simultaneous algebraic (now linearized) equations can be put into the following matrix form

WI(A) = {D}, (35)

where [K] is an n x n coefficient matrix, {A) is a vector of incremental quantities, and {D} is a vector of known values.

The iteration process at a fixed time station continues until the delta quantities of all the variables become negligibly small. In the present work, a solution is accepted and iteration process is terminated when the delta quantities become less than or equal to 0.01% of the previous values of the corresponding variables. The converged solution of each variable is then used as the initial value for the next time step and the process is repeated for consecutive time steps.

The only problem that the Newton-Raphson process may present in the solution of dynamic problems is due to the fact that the period of the forced motion of the system may turn out to be quite short. In this case it becomes necessary to use very small time steps; otherwise, a significantly large number of iterations is required for convergence. The time increment used in the present work is At = 0.0001 sec.

Numerical procedure outlined above can be utilized for the solution of the three- dimensional joint model equations presented so far. However, because of the extreme complexity of these equations, in this study we will present only the numerical results of the two-dimensional version of our formulation applied to the dynamic model of the human knee joint. Detailed numerical solution and complete discussion of the previously developed knee joint models are given in Engin and Moeinzadeh [ 111. Discussions of various anatomical and functional aspects of the human knee joint can be found in [12, 131.

IV. NUMERICAL RESULTS AND DISCUSSION

The first task in obtaining numerical results is determination of the functions defining the articulating surfaces. In the two-dimensional case these functions [(7) and (811 becomef(x) and g(x’) and were determined from an X-ray of a human knee joint. A number of points on the two-dimensional profiles of the femoral and tibia1 articulating surfaces were utilized to obtain the following best-fit polynomials:

j-(x) = 0.04014 - 0.247621x - 6.889185x2 - 270.4456x3 - 8589.942x’

g(x’) = 0.213373 - 0.0456051x’ + 1.073446~‘~. (36)

The numerical results to be presented are only for an external force acting on the tibia (Fig. 4) without the presence of an external moment. It is assumed that the force is always perpendicular to the longitudinal axis of the tibia b’ axis) and passes through its center of mass. Let this force be denoted by F,(f). A parametric study of the effect of various combinations of moment and force acting simultaneously on the response of the knee joint may prove to be rewarding.

However, for the present work we will only consider an external force and believe that this will be sufficient to illustrate the capabilities of the model. The effect of the shape of the forcing function on the knee joint response will be studied by considering the following two functions for F,(t ):

FAO = A [w) - w - 4lx (37)

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Human articulating joints 127

Fig. 4. Forces acting on the moving tibia are shown for the two-dimensional model of the knee joint.

F, = MEDIAL COLLATERAL \

FL= LATERAL COLLATERAL F,= ANTERIOR CRUCIATE F,= POSTERIOR CRUCIATE FEMUR

which is a rectangular pulse of duration r,,, and amplitude A ; and

which is an exponentially decaying sinusoidal pulse of duration to, and amplitude A. A dynamic loading in the form of Eq. (37) is extremely difficult to simulate experimentally; however, the study of these two functions will hopefully be helpful in understanding the effect of rise time of the dynamic load on the joint response. Equation (38) is a more realistic forcing function and it has been previously used as a typical representation of the dynamic load in head impact analysis [14].

The following are obtained as a function of time from the computer program developed in this study; the coordinates x0, y, of the center of mass of tibia; the flexion angle a; the coordinates x, and XL of the contact point in (x, y) and (x’, y’) coordinate systems, respectively; the magnitude, N, of the contact force; the elongations of the ligaments and the ligament forces, 4. Before the application of the external force, the flexion angle of the knee is chosen to be about 55” for which the ligaments of the joint are in a relaxed state.

The effect of pulse duration on the response of the knee joint motion is studied by taking to = 0.05, 0.10, and 0.15 seconds for both rectangular and exponentially decaying sinusoidal pulses. The effect of pulse amplitude, A, is also examined by taking A = 20, 60, 100, 140, and 180 N for both types of pulses. In principle, it is possible to plot the numerical results in numerous ways. However, because of the space limitations only some representative results will be presented.

Ligament forces as functions of flexion angle of the knee joint for the two previously described forcing functions are presented in Fig. (5a) and 5(b). Results indicate that when

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128

2400

2200

2000

I 800

s v 1600 .

xi

ii I400

2 I200

!s g 1000

s zj 800

600

ALI ERKAN ENGIN AND MANSXXJR H. MOEINZADEH

ANTERIOR CRUCIATE POSTERIOR CRUCIATE LATERAL COLLATERAL MEDIAL COLLATERAL

50 40 30 20 10 0 -10

FLEXION ANGLE, a0

Fig. 5a. Ligament forces as functions of flexion angle for an externally applied rectangular pulse of 100 N amplitude and 0.15 set duration.

the knee joint is extended by a dynamic application of a pulse on the tibia, lateral collateral, medial collateral and anterior cruciate ligaments are elongated while the posterior cruciate ligament is shortened. The load carried by the anterior cruciate ligament is substantially higher than those of the lateral collateral and medial collateral ligaments. The variation of the lengths of ligaments and the forces carried by them during normal knee motion has been the subject of various studies reported in the literature and in these studies several different opinions and conclusions have been expressed in regard to the biomechanical role and function of various ligaments of the knee joint. The function of the anterior cruciate as depicted in the dynamic knee-model developed in this study is to resist anterior displacement of the tibia.

The present dynamic model also predicts that the medial and lateral collateral ligaments offer very little resistance in the flexion-extension motion of the knee joint. The major role

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Human articulating joints 129

900

800

700

2 600 L

2

g 500

i?

2 400

z c3 300 -l

-.

0.15s

ANTERIOR CRUCIATE POSTERIOR CRUCIATE LATERAL COLLATERAL MEDIAL COLLATERAL

/

FLEXION ANGLE, u”

Fig. Sb. Ligament forces as functions of flexion angle for an externally applied exponentially decaying sinusoidal pulse of 100 N amplitude and 0.15 set duration.

of these ligaments is to offer varus-valgus and partial internal-external rotational stability. The model shows that as the knee joint is extended under influence of a dynamic load the lateral collateral and medial collateral ligaments elongate at different magnitudes.

The model shows good agreement with the quasistatic experimental investigations reported in the literature. It is important to note that the dynamic model presented in this study is an idealized representation of a very complex anatomical structure; thus, static experimental studies may not support some of the predictions of the model. Additional disagreements may also be due to approximate locations of the attachment sites of the ligaments in particular, and two-dimensional nature of the model in general.

In Figs. 6(a) and 6(b), a few representative plots of forces in the anterior cruciate ligament are shown as a function of time for two different forcing functions with varying pulse

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130

2400

I800

s 1600

fi

k? 1400

2 1200

5

Y loo0

9 800

600

400

200

Au ERKAN ENGIN AND MANSWUF~ H. MOEINUDEH

ANTERIOR CRUCIATE

-100 N

t-l

I I I 1 I 0.04 0.08 0.12 0.16 0.20 0.24

TIME (set) Fig. 6a. Anterior cruciate ligament force as a function of time for an externally applied rectangular pulses of 100 N amplitude and durations of 0.05, 0.10, and 0.15 set,

durations. Although not presented here, similar curves may be obtained for other pulse durations and pulse magnitudes. Generally, for a fixed amplitude, the shorter the pulse duration, the sooner the tibia reaches its turning point (i.e., direction of motion reverses) and for a given pulse duration, the smaller the amplitude, the sooner the turning point is reached. In Figs. 5, 6, and 7 the values in parentheses indicate the flexion angles at the corresponding times. Note that, for illustrative purposes up to 6” of hyperextension was allowed. Generally, one expects only 1” to 3” of hyperextension to be anatomically tolerable beyond which joint failure becomes unavoidable. In Fig. 7, contact forces as a function of time are plotted. These forces are in response to the different forcing functions with varying amplitudes and pulse durations. Note that the magnitudes of the anterior cruciate ligament and the corresponding contact forces in response to a particular forcing function are comparable.

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Human articulating joints 131

1000

800

700

g 600

E

g 500

L?

5 400 W

5 “7 300

200

100

ANTERIOR CRUCIATE

100 N

- +,=0.05, c+- +,=0.10,

+ t,= 0.15,

(24

0.06 0.12 0.18 0.24 0.30 0.36 TIME bed

Fig. 6b. Anterior cruciate ligament force as a function of time for externally applied exponentially decaying sinusoidal pukes of 100 N amplitude and durations of 0.05, 0.10, and 0.15 sec.

Femoral and tibia1 contact point locations as a function of flexion angle are plotted in Figs. 8(a) and 8(b). In these figures the values in the parentheses indicate the total elapsed time of the motion since its initiation. The difference between the curves representing the femoral and tibia1 contact points may be explained by the combined rolling and sliding motion of the tibia on the femur. Finally, for illustrative purposes, with the aid of versatec plotter, continuous plots of x0, yO (coordinates of the center of mass of the tibia); x, and x: (femoral and tibia1 contact points, respectively) and flexion angle, a, as a function of time are plotted in Figs. 9(a) and 9(b).

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132 ALI ERKAN ENGIN AND MANSWUR H. MOEINZADM

270C

240C

21 oc

600

300

0 I

- (-6’

t-1”:

(-6’)

(-I01

Cl ) (-I”) 0

10 /I/ (4”) (4O)

) (4”)

._A. (9”)

!4 (24O) 9

A

L I

to=o.Ios

D-- A=20N h A=60N - A=lOON F-- A=140N +- A=l80N

&m-459% 0, \-I .- r I

I I I I 0.06 - 0.12 0.18 0.24 0.30 0.36

TIME,(sec) Fig. 7a. Contact forces as a function of time for externally applied rectangular pulses of 20, 60, 100, 14, and 180 N amplitudes and 0.10 set duration.

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Human articulating joints 133

1600

1200

Is - 6 1000

ri

B 800

5

2 600 z

8

400

0 0.10 0.20 0.30 0.40 0.50 0.60 0.70 0.80

TIME, ( set)

- If (17.04”)

(190) (19”) (19O)

(24”) p(25.5”)

A

PL- to=o.los

D-- A=20N w A=60N b- A=IOON o- A=l40N

+ A=l80N

Fig. 7b. Contact forces as a function of time for externally applied exponentially decaying sinusoidal pulses of 20, 60, 100, 140, and ISON amplitudes and 0.10.~~ duration.

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134 ALI ERKAN ENGIN AND MANSWUR H. MOEINWDEH

--- z 7a 3-

240( 3-

2 lO( I-

>-

\-

600

300

01 I

(-6’

(-I”1

(-SO)4 (-6”) (+”

‘) v

‘::

L (-10) (-IO)

1 y(-I.

(40) (40)

IdO\ (9O)

‘1

A

&A= 20N o-A= 60N &A= IOON v-A= 140N +A= 180N

\3 I

(14”) v, (140) (140)

( I (24”)

0.06 0.12 0.18 0.24 nzn nx TIME, (set) -- “-

Fig. 7c. Contact foxes as a function of time for externally applied rectangular pulses of 20, 60, 100, 140, and 180 N amplitudes and 0.10 set duration.

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t a. 1600

z

E

z? 1200

2400

Human articulating joints

A

PL- 1,=0.15s

D-A= 20N *A= 60N &A= IOON -A= l40N +A= l80N

1 135

(34O) Kl

0 I

0 0.10 0.20 0.30 0.40 0.50 0.60

TIME, (set 1

Fig. 7d. Contact forces as a function of time for externally applied exponentially decaying sinusoidal pulses of 20, 60, 100, 140, and 180 N amplitudes and 0.15 set duration.

V. SUMMARY AND CONCLUDING REMARKS

The research work discussed and presented in this paper can be summarized in ;he following paragraphs:

1. A three-dimensional mathematical dynamic model of a general two-body-segmented articulating joint has been formulated in order to describe the relative motion between the segments and the various forces produced at the joint.

2. The two-dimensional version of this formulation has been applied to the human knee joint to study the relative dynamic motion between femur and tibia and the forces in the joint. The model includes the geometry of the articular surfaces as well as appropriate constitutive behavior of ligaments.

3. A rectangular and an exponentially decaying sinusoidal pulses of duration, r,,, and amplitude, A, were applied to the tibia and the numerical results from this model were presented to illustrate the effects of duration and shape of the dynamically applied loads on the response of the joint. Special attention has been given to the ligament and contact forces, and the location of contact points.

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136 ALI ERKAN ENCIN AND MANWUR H. MOEINZADEH

0 -I

2 5 -2

LJ

-4

..-

TIBIAL CONTACT POINT, X;

IOON +JyzLzL (t=O.l56s

I I I I I I

FEMORAL CONTACT POINT, X,

(t=O.l56s

50 40 30 20 IO 0 -10

FLEXION ANGLE, a0 Fig. 8a. Femoral and tibia1 contact points as a function of flexion angle for externally applied rectangular pulse of IOON amplitude and O.lOsec duration.

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Human articulating joints 137

4

3

t

2

I

0

-I

-2

-3

TIBIAL CONTACT POINT, X;

c FEMORAL CONTACT POINT, X,

/ (+=o*36’s)

50 40 30 20 IO 0

FLEXION ANGLE, CYO Fig. 8b. Femoral and tibia1 contact points as a function of flexion angle for externally applied exponentially decaying sinusoidal pulse of 1OON amplitude and O.lOsec duration.

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138 ALI ERKAN ENGIN AND MANSOUR H. MOEINZADEH

Fig. 9; points amplit

PLOT OF XO,YO,XC,XPC,QND FLEXION

: FlNGLE RLFR VS. TIME z d z

z g d z

2 = d. :

20N _N

II

z E?_ _d -0 ln . c

0.15s $

c z

-0

Continuous plots of tibia1 center of mass coordinates (X0, YO), femoral (XC), and tibia1 (XPC) contact md the flexion angle (ALFA) as functions of time for an externally applied rectangular pulse of 20N de and 0.15 set duration.

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Human articulating joints 139

Fig. 9b. Continuous plots of tibia1 center of mass coordinates (X0, YO), femoral (XC), and tibia1 (XPC) cOntact points and the flexion angle (ALFA) as functions of time for an externally applied exponentially decaying sinusoidal pulse of 100 N amplitude and 0.15 set duration.

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140 ALI ERKAN ENGIN AND MANWUR H. MOEINZADEH

4. The model predicts that when the knee joint is extended dynamically, by an application

of a pulse on the tibia, lateral collateral, medial collateral and anterior cruciate ligaments are

elongated while the posterior cruciate ligament is shortened. The load carried by the anterior cruciate ligament is substantially higher than those of the lateral collateral and medial collateral ligaments.

5. With this mathematical model the influence of the variations of initial strain of the ligaments and their attachment sites (i.e., insertions and origins) on the response of the model can be determined and a parametric study addressing to these points may reveal the sensitivity of the model to the variations of the coordinates of the insertions and origins of the ligaments.

6. In a similar way, the mathematical models of the other major articulating joints can be developed. However, a special attention should be given in modeling of the ligaments. Some ligaments, particularly the thick band or large cordlike ligaments, have complex behavior, with various portions behaving differently under given conditions or configurations. These are described in the literature as, in the case of the broad ligaments of the hip joint, having anterior and posterior fibers, or medial and lateral components. The mathematical model should include additional elastic elements to reflect the contributions of various fibers of the ligaments. Unfortunately proper experimental data to determine the constitutive behavior of these thick band or broad ligaments do not exist.

It is appropriate to make several concluding remarks on the numerical techniques tried in the course of obtaining the solution for the governing equations of the dynamic joint model. In the first method, the second-order differential equations were transformed to a set of nonlinear algebraic equations by substituting for the differential elements, their equivalent backward difference approximations. In this case, it was impossible to obtain a converging solution due to the highly nonlinear nature of these equations. In the second method, the flexion angle, a, of the moving tibia and contact point coordinates, x, and x: were obtained from the simultaneous solution of the nonlinear contact and geometric compatibility conditions. Knowing a, di was obtained via backward difference method and then the normal force, ZV, was determined from one of the equations of motion. The other two second-order nonlinear differential equations which were in terms of x0 and y,, were written as a set of four first order differential equations by direct substitutions. Runge-Kutta method was applied to these equations and solutions for h, y, and their time derivatives were obtained. Using the new values of x0 and y,, a new value of a and contact point coordinates were obtained and the entire procedure was repeated for the next time step. Although mathematically all the geometric constraints and governing equations of motion were satisfied, the results obtained using this second method were not in agreement with the actual physical geometry and the anatomy of the joint. This was concluded to be due to the solution technique which was not solving all the equations simultaneously, and during the solution process it was forcing some of the variables to accept values which were mathematically correct but physically un- acceptable. Finally, the Newton-Raphson iteration process along with Newmark method of differential approximation was chosen as the method of solution which yielded accurate and stable solutions for the model.

Acknowledgements-This investigation was supported by the Mathematics and Analysis Branch of the Aerospace Medical Research Laboratory at Wright-Patterson Air Force Base under Contract No. F3361>78-C4510 to the senior author. The authors also acknowledge the assistance provided by Dr. N. Akkas of the Middle East Technical University, Ankara, Turkey in numerical phase of the remarch program.

REFERENCES

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2. J. A. Bartz and F. E. Butler, A three-dimensional computer simulation of a motor vehicle crash victim, Phase 2, Validation of the model. Calspan Technical Report No. VJ-2978-V-2 (1972).

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Human articulating joints 141

3. R. L. Huston, R. E. Hessel, and C. E. Passerello, A three-dimensional vehicle-man model for collision and high acceleration studies. SAE Paper No. 740275 (1974).

4. J. T. Fleck, F. E. Butler, and S. L. Vogel, An improved ~~~imensionai computer simulation of vehicle crash victims. U.S. Department of Transportation, National Highway Traffic Safety Administration, Washington DC, Report No. DOT HS-801-507 (1975).

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6. E. L. Radin and I. L. Paul, A consolidated concept of joint lubrication. J. Bone Joint Surgergy S4A, 607616 (1972).

7. P. S. Trent, P. S. Walker, and B. Wolf, Ligament length patterns, strength and rotational axes of the knee joint. Clin. Orthoped. Related Res. 117, 263-270 (1976).

8. J. C. Kennedy, R. J. Hawkins, R. B. Willis, and K. D. Danylchuk, Tension studies of human knee joint ligaments. J. Bone Joinf Surgery 58A, 3SG3SS (1976).

9. K. J. Bathe and E. L. Wilson, Numerical Methods in Finite Element Anulysis, Prentice-Hall, Englewood Chffs, New Jersey (1976).

10. R. Kao, A comparison of Newton-Raphson methods and incremental procedures for geometrically nonlinear analysis. Cumpuf. Structwes 4, 1091-1097 (1974).

11. A. E. Engin and M. H. Moeinzadeh, Modeling of human joint structures. AF AMRL-TR-81-117 (1981). 12. A. E. Engin and M. S. Korde, Biomechanics of normal and abnormal knee joint. J. Biomech. 7, 325-334

($974). 13. A. E. Engin, Mechanics of the knee joint: Guidelines for osteotomy in osteoarthr@, in Orthopuedie

Mechanics: Procedures and Devices, D. N. Ghista and R. Roaf, eds., pp. 55-98, Acadeq Press, London, England ( 1978).

14. A. E. Engin and N. Akkas, Application of a fluid-fili~ spherical sandwich shell as a biodynan$c head injury model for primates. Aviat. Space and Environ. Med. 49(I), 120-124 (1978).