The binomial series 65
Hence new volume
≈πr^2 h( 1 − 0. 08 )( 1 + 0. 02 )
≈πr^2 h( 1 − 0. 08 + 0. 02 ),neglecting
products of small terms
≈πr^2 h( 1 − 0. 06 )or 0. 94 πr^2 h,i.e. 94%
of the original volume
Hence the volume is reduced by approxi-
mately 6%.
(b) Curved surface area of cylinder= 2 πrh.
New surface area
= 2 π[( 1 − 0. 04 )r][( 1 + 0. 02 )h]
= 2 πrh( 1 − 0. 04 )( 1 + 0. 02 )
≈ 2 πrh( 1 − 0. 04 + 0. 02 ),neglecting
products of small terms
≈ 2 πrh( 1 − 0. 02 )or 0. 98 ( 2 πrh),
i.e. 98% of the original surface area
Hence the curved surface area is reduced by
approximately 2%.
Problem 18. The second moment of area of a
rectangle through its centroid is given by
bl^3
12
.
Determine the approximate change in the second
moment of area ifbis increased by 3.5% andlis
reduced by 2.5%.
New values ofbandlare( 1 + 0. 035 )band( 1 − 0. 025 )l
respectively.
New second moment of area
=
1
12
[( 1 + 0. 035 )b][( 1 − 0. 025 )l]^3
=
bl^3
12
( 1 + 0. 035 )( 1 − 0. 025 )^3
≈
bl^3
12
( 1 + 0. 035 )( 1 − 0. 075 ),neglecting
powers of small terms
≈
bl^3
12
( 1 + 0. 035 − 0. 075 ),neglecting
products of small terms
≈
bl^3
12
( 1 − 0. 040 )or( 0. 96 )
bl^3
12
,i.e. 96%
of the original second moment of area
Hence the second moment of area is reduced by
approximately 4%.
Problem 19. The resonant frequency of a
vibrating shaft is given by:f=
1
2 π
√
k
I
,wherekis
the stiffness andIis the inertia of the shaft. Use the
binomial theorem to determine the approximate
percentage error in determining the frequency using
the measured values ofkandIwhen the measured
value ofkis 4% too large and the measured value
ofIis 2% too small.
Letf,kandIbe the true values of frequency, stiffness
and inertia respectively. Since the measured value of
stiffness,k 1 , is 4% too large, then
k 1 =
104
100
k=( 1 + 0. 04 )k
Themeasured valueof inertia,I 1 ,is2%toosmall,hence
I 1 =
98
100
I=( 1 − 0. 02 )I
The measured value of frequency,
f 1 =
1
2 π
√
k 1
I 1
=
1
2 π
k
1
2
1 I
−^12
1
=
1
2 π
[( 1 + 0. 04 )k]
1
(^2) [( 1 − 0. 02 )I]−
1
2
1
2 π
( 1 + 0. 04 )
1
(^2) k
1
(^2) ( 1 − 0. 02 )−
1
(^2) I−
1
2
1
2 π
k
1
(^2) I−
1
(^2) ( 1 + 0. 04 )
1
(^2) ( 1 − 0. 02 )−
1
2
i.e. f 1 = f( 1 + 0. 04 )
1
(^2) ( 1 − 0. 02 )−
1
2
≈f
[
1 +
(
1
2
)
( 0. 04 )
][
1 +
(
−
1
2
)
(− 0. 02 )
]
≈f( 1 + 0. 02 )( 1 + 0. 01 )
Neglecting the products of small terms,
f 1 ≈( 1 + 0. 02 + 0. 01 )f≈ 1. 03 f
Thus the percentage error infbased on the measured
values ofkandIis approximately [( 1. 03 )( 100 )−100],
i.e.3% too large.