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Engineering Mechanics
Preliminary Exam Terminologies
Lecture 2: Vectors and Force Systems
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Cards (30)
Is any positive or negative physical quantity that can be completely classified by its magnitude
scalar
is any physical quantity that requires both a magnitude and direction for its complete description
vectors
whose action is not confined to or associated with a unique line in space
free vector
has a unique line of action in space but not a unique point of application
sliding vector
for which a unique point of application is specified
fixed vector
is the process of determining the resultant of vectors
composition of vectors
the characteristics of a force:
magnitude
direction
point of application
line of action
is produced by direct physical contact
contact force
generated by virtue of the position of a body within a force field such as gravitational, electric or magnetic field
body forces
force that is considered to act on a point
point load
or
concentrated load
applied across a length or area instead of a one point
distributed load
forces that originate within an object
internal forces
forces that act on an object or system from outside
external forces
two main subsections of force system:
coplanar
non coplanar
forces under coplanar:
collinear
parallel
concurrent
non concurrent
forces under non coplanar:
parallel
concurrent
non concurrent
when the lines of action of all forces of a system act along the same line
collinear force system
forces that are parallel from one another
parallel
forces
when the lines of action of all the forces lie in a single plane
coplanar force system
when the line of action of all the forces does not lie on a single plane
non coplanar force system
when the forces of a system do not meet at a common point of concurrency
non concurrent force system
unit vector is also known as
direction vector
it is defined as the cosines of the angles between the three coordinate axes and the vector
directional cosines
r is defined as a fixed vector that locates a point in space relative to another point
position vector
the process is done by the algebraic
addition
or
subtraction
of all similar vector components at their respective axes
vector
addition
and
subtraction
vector dot product produces a
scalar quantity
applications of dot product:
find the
angle
of
two vectors
find the
orthogonal projection
and
perpendicular line
cross product yields a
vector quantity
properties of vector cross product:
Non commutative
multiplicative
by
scalar
distributive
when the cross product of two vectors is dotted with a third vector
scalar triple product