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53:244 (58:254) ENERGY PRINCIPLES IN STRUCTURAL MECHANICS

SCALAR FIELDS

Ø of a f(x), a : ¶f Ñf( x ) = ei ¶xi

Ø of f(x) in the direction s: Let u be a

unit vector that defines the direction s: ¶x u = i e ¶s i

Ø The directional derivative of f in the direction u is given as df = u · Ñf ds

Ø The scalar component of Ñf in any direction gives the rate

of change of df/ds in that direction.

Ø Let q be the angle between u and Ñf. Then df = u · Ñf = u Ñf cos q = Ñf cos q ds

Ø Therefore df/ds will be maximum when cosq = 1; i.e., q = 0.

This means that u is in the direction of f(x).

Ø Ñf points in the direction of the maximum rate of increase

of the f(x).

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Ø The magnitude of Ñf equals the maximum rate of increase

of f(x) per unit distance.

Ø If direction u is taken as tangent to a f(x) = constant

curve, then df/ds = 0 (because f(x) = c). df = 0 Þ u· Ñf = 0 Þ Ñf is to f(x) = c curve or surface. ds

THEORY OF CONSERVATIVE FIELDS

Vector Field

Ø Rule that associates each (xi) in the domain D (i.e.,

open and connected) with a vector F = Fxi(xj)ei; where xj =

x1, x2, x3. The vector field F determines at each point in

the region a direction.

Flow Lines of F

Ø A curve C passing through a region where F is defined and

is non-zero at all points in the region is called a flow line of

F provided (1) at every point on the curve a unique tangent

vector T is defined whose direction varies continuously

with C, and (2) T is parallel to F.

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Ø If the curve C is traced by a particle, i.e., its

direction coincides with the direction of the vector field F

at that point, it is called a streamline or characteristic

curve.

Ø Since the direction of a flow line is uniquely determined by

the field F, it is impossible to have two different

directions at the same point, and therefore it is impossible

for two flow lines to intersect.

Ø Define R = position vector of an arbitrary point on the flow

line, and s = the arc length along the curve. The unit

tangent vector to the curve at that point, T is given as dR dx T = = i e ds ds i

Ø Since the point is on the flow line, T has same direction as

F. This can be written as dx T = bF Þ bF = i ; i = 1, 2, 3 i ds dx dx dx dx dy dz Ø Leads to the relationship: 1 = 2 = 3 ; or = = F1 F2 F3 Fx Fy Fz

Line

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Ø of the tangential component of vector F along

the smooth curve C is defined as

Ø ò F · dR = ò Fidxi = ò(Fxdx + Fydy + Fzdz) C C C dR Ø Let T = Unit tangent vector to the path C. Then, T = ds

Ø Line Integral = Work done by F in a displacement

along C, if F = Force Field dR ò F · dR = ò F · ds = ò F ·Tds = ò Fsds C C ds C C

where Fs is the tangential component of F

Conservative Fields

Ø Vector Field, F is conservative in domain D if there is a

scalar field in D such that, F = ÑF , F =Potential Function

or Potential of F.

Ø Theorem: Vector Field F, continuous in the domain D is

conservative if and only if the line integral of the

tangential component of F along every regular curve

depends only on the end points of the curve.

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Ø In that case the line integral of the tangential component

is simply the difference in potential of the end points; i.e.,

ò F · dR = Difference in the potential value at the end

points.

ò F · dR = ò Fidxi = ò(Fxdx + Fydy + Fzdz) = F( Q ) - F( P ) C C C

Ø Also, F = ÑF so that ¶F ò F · dR = ò ÑF · dR = ò dxi = ò dF ¶xi

\F · dR = dF

RESTATE

Ø A vector field F continuous in the domain D (i.e., open and

connected) is conservative if and only if it possesses any

one (and hence all) of the following properties:

1. It is the gradient of a scalar function; F = ÑF

2. Its line integral of the tangential component around any

regular closed curve C in D is zero, i.e., ò F · dR = 0

3. Its line integral of the tangential component along any

regular curve in D extending from, a point P to a point Q

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is independent of the path; i.e.,

ò F · dR = ò dF = F( Q ) - F( P ). C C

Ø If the domain D in which F is defined is simply connected,

then there is a fourth property equivalent to any one of

other three: F is free, Ñ ´ F = Ñ ´ ÑF = 0; i.e., Curl of F

¶F ¶Fy ¶Fy ¶F ¶F ¶F = 0 which means that x = ; = z ; z = x ¶y ¶x ¶z ¶y ¶x ¶z

Lecture #5 6