In: Civil Engineering

Design a concrete mixture that has a 28 day compressive strength of 4000 psi and a maximum size aggregate of 0.75 in. The concrete would be placed in a column exposed to freezing and thawing and will be in contact with a soil that has a sulfate content of 0.3%.

**Step 1: Assemble information from specifications and
local materials**

Cement:

Use any type and assume a specific gravity of 3.15

Coarse Aggregate:

Bulk Specific Gravity (BSG) – 2.65

Absorption Capacity – 1.5%

Surface Moisture – 1.0%

Dry-Rodded Unit Weight = 105 lb/ft^3

Fine Aggregate:

Bulk Specific Gravity (BSG) – 2.75

Absorption Capacity – 1.0%

Surface Moisture – 3.0%

Fineness Modulus – 2.7

**Step 2: Select Slump**

**Step 3: Determine the maximum size of the
aggregate**

**Step 4: Estimate the mix water and the air
content**

**Step 5: Choose the water-to-cement ratio**

**Step 6: Determine the Cement Content**

**Step 7: Estimate the Coarse Aggregate
Content**

**Step 8: Estimate the Fine Aggregate Content for a cubic
yard**

**Step 9: Adjust for Moisture**

**Step 10: Summarize batch proportions in a
table**

Ans) Following is required mix design procedure :

Step 1) Selection of slump :

Let the total volume of trial mix be 1 yd3 (27 ft3) then according to ACI 211.1.8 Table 6.3.1 ,slump required for column is between 1 to 4 in .Let us choose 3 in slump .

Step 2) Maximum size of aggregate is given as 0.75 in

Step 3) Estimation of mixing water and air content

According to table 6.3.3 for a slump of 3 in and nominal aggregate size of 0.75 in , amount of water required per cubic yard of concrete is 305 lb

=> Amount of water = 360 lb per yd3 concrete

Since,concrete is exposed to freezing/thawing and sulphates, class of exposure is moderate so according to table 6.3.3, air content for 0.75 in aggregate size is 5 %

Step 4) Estimation of water-cement ratio

Now according to Table 6.3.4 (a) , for compressive strength of 4000 psi , water cement ratio is 0.48 .But since concrete is exposed to suphates, according to Table 6.3.4 (b) , maximum permissible water cement ratio is 0.40

Step 5) Estimation of cement content :

Hence, amount of cement = Amount of water / water cement ratio

=> Cement requied = 305 lb / 0.40 = 762.50 lb

Step 6) Estimation of Coarse aggregate

Now, according to table 6.3.6 for nominal aggregate size of 0.75 in and fineness modulus of 2.7 , volume of coarse aggregate is 0.63 yd3 or 17.01 ft3

=> Amount of coarse aggregate = dry rodded density x volume = 105 x 17.01 = 1786 lb

Step 7) Estimation of fine aggregates

Volume of fine aggregate = Total volume of concrete - Volume of water , cement , coarse aggregate and air

Volume of material = Amount / (Specific gravity x Unit weight of water)

=> Fine aggregate volume = 27 - [(305/62.4) + (762.5 / 3.15 x 62.4) + (1786/ 2.65 x 62.4) + 0.05(27)]

=> Fine aggregate volume = 27 - 20.91 = 6.09 ft3

=> Amount of fine aggregate = Specific gravity x unit weight of water x volume = 2.75 x 62.4 x 6.09 = 1045 lb

Step 8) Adjustment of moisture

Now, since both aggregates has moisture and absorption capacity, amount of mixing water needs to be corrected

=> Water provided by coarse aggregate = (0.01 - 0.015) x 1786 = -8.93 lbs

=> Water provided by fine aggregate = (0.03 - 0.01) x 1045 = 20.90 lbs

Corrected amount of mixing Water = Uncorrected weight - Water provided by aggregates

**=> Corrected mixing Water needed = 305 - 20.90 + 8.93
= 293 lbs**

Step 9) Final batch weigts for 1 cubic yard concrete are as follows :

Material |
Amount (lb) |

Cement | 762.50 |

Water | 293 |

Coarse aggregate | 1786 |

Fine aggregate | 1045 |

The compressive strength of concrete is normally distributed
with ? = 2500 psi and ? = 50 psi. Find the probability that a
random sample of n = 10 specimens will have a sample mean diameter
that falls in the interval from 2499 psi to 2610 psi.

An article considered regressing y = 28-day
standard-cured strength (psi) against x =
accelerated strength (psi). Suppose the equation of the true
regression line is y = 1900 +
1.4x,
and that the standard deviation of the random deviation
ϵ is 350 psi.
(a)
What is the probability that the observed value of 28-day
strength will exceed 5000 psi when the value of accelerated
strength is 2000? (Round your answer to four decimal places.)
(b)
What is the probability that the...

7-Day Strength (psi) x: 3380 2620 2890 3390 2480
28-Day Strength (psi) y: 5020 4190 4620 5220 4120
As concrete cures, it gains strength. The following data
represent the 7-day and 28-day strength in pounds per square
inch (psi) of a certain type of concrete. Complete parts (a)
through (f) below.
(a) Treating the 7-day strength as the explanatory variable,
x, use technology to determine the estimates of beta 0β0 and beta
1β1.
beta 0β0almost equals≈b 0b0equals=? (Round to one...

Design a concrete mix by using ACI Method of Mix Design having 28-day characteristic mean strength of 28 MPa for a deck of a residential building at Nebraska. Dry weather and gradually warming temperatures may be expected throughout the working week. Fresh concrete composed of a slump of 90 mm and maximum aggregate size of 25 mm. Determine the amount of water reducing admixture to be used for 0.24 % and 0.35 %. Deck is a flat surface capable of...

Q 1: Design a concrete mix for the following
performances and ingredients:
* Compressive strength at 28 days = 32 MPa, slump 80 mm
* Crushed coarse aggregate of max size 20 mm readily
available
* Fine aggregate is river sand, fineness modulus = 2.5
* Cement Strength Class = 42.5
* Specific gravity of combined aggregate =2.6
* Water absorption of coarse aggregate = 0.8%
* Water absorption of fine aggregate = 0.5%
Q 2: Design a concrete mix...

As concrete cures, it gains strength. The following data
represent the 7-day and 28-day strength in pounds per square
inch (psi) of a certain type of concrete. Complete parts (a)
through (f) below. 7-Day Strength (psi), x 2300 2480 3330 2890
3390 28-Day Strength (psi), y 4070 4120 4850 4620 5220 (a)
Treating the 7-day strength as the explanatory variable, x, use
technology to determine the estimates of beta 0 and beta 1. beta
0almost equalsb 0equals nothing (Round to...

As concrete cures, it gains strength. The following data
represent the 7-day and 28-day strength in pounds per square
inch
(psi) of a certain type of concrete. Complete parts (a) through
(f) below.
7-Day Strength (psi), x
3330
2480
2620 3380
2300
28-Day Strength (psi), y 4850
4120
4190 5020
4070
(a) Treating the 7-day strength as the
explanatory variable, x, use technology to determine the estimates
of β0 and β1 .
β0 ≈ b0 =_________(Round to one decimal place as needed.)...

As concrete cures, it gains strength. The following data
represent the 7-day and 28-day strength in pounds per square inch
(psi) of a certain type of concrete. Complete parts (a) through (e)
below.
7-Day Strength (psi), x
3380
2480
3330
2890
3390
28-Day Strength (psi), y
5020
4120
4850
4620
5220
Treating the 7-day strength as the explanatory variable, x, use
technology to determine the estimates of β0 and β1.
β0 ≈ b0 =
(Round to one...

As concrete cures, it gains strength. The following data
represent the 7-day and 28-day strength in pounds per square
inch (psi) of a certain type of concrete. Complete parts (a)
through (f) below.
7-Day Strength (psi), x
3380
3390
2300
2480
2620
28-Day Strength (psi), y
5020
5220
4070
4120
4190
(a) Treating the 7-day strength as the explantory variable, x ,
use technology to determine the estimates of β0 and β1.
β0 ≈b0 = ____ (Round to two decimal...

As concrete cures, it gains strength. The following data
represent the 7-day and 28-day strength in pounds per square
inch (psi) of a certain type of concrete.
7-Day_Strength_(psi)_-_x
28-Day_Strength_(psi)_-_y
2300 4070
3380 5020
2620 4190
3390 5220
3330 4850
(a) Treating the 7-day strength as the explanatory variable,
x, use technology to determine the estimates of β0 and β1.
β0≈b0=1753.9
(Round to one decimal place as needed.)
β1≈b1=0.9707
(Round to four decimal places as needed.)
Se=150.6
(Round to...

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