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Brilliant_brown [7]
2 years ago
7

ENERGIA

Engineering
1 answer:
VMariaS [17]2 years ago
4 0

nswer:

i dont understand french

97

Explanation:

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Consider a W21x93. Determine the moment capacity of the beam. Assume the compression flange is not laterally braced and that the
OLga [1]

Answer:

The answer is "828.75"

Explanation:

Please find the correct question:

For W21x93 BEAM,

Z_x = 221.00 in^3 \\\\\to \frac{b_t}{2t_f} =4.53\\\\\to \frac{h}{t_w}=32.3

For A992 STREL,

F_y= 50\  ks

Check for complete section:

\to \frac{b_t}{2t_f} =4.53 < \frac{65}{\sqrt{f_y = 9.19}}\\\\\to \frac{h}{t_w} =32.3 < \frac{640}{\sqrt{f_y = 90.5}}

Design the strength of beam =\phi_b Z_x F_y\\\\

                                                =0.9 \times 221 \times 50\\\\=9945 \ in \ \ kips\\\\=\frac{9945}{12}\\\\= 828.75 \ft \ kips \\

8 0
3 years ago
Write a function named "read_prices" that takes one parameter that is a list of ticker symbols that your company owns in their p
ohaa [14]

Answer:

import pandas pd

def read_prices(tickers):

price_dict = {}

# Read ingthe ticker data for all the tickers

for ticker in tickers:

# Read data for one ticker using pandas.read_csv  

# We assume no column names in csv file

ticker_data = pd.read_csv("./" + ticker + ".csv", names=['date', 'price', 'volume'])

# ticker_data is now a panda data frame

# Creating dictionary

# for the ticker

price_dict[ticker] = {}

for i in range(len(ticker_data)):

# Use pandas.iloc  to access data

date = ticker_data.iloc[i]['date']

price = ticker_data.iloc[i]['price']

price_dict[ticker][date] = price

return price_dict  

7 0
3 years ago
Reagen pembatas adalah
kow [346]
I don’t know what you mean by that
5 0
3 years ago
What is soil texture in civil engineering​
Bond [772]

Answer:

It will indicate the percentage of sand, silt, and clay present in the soil.

Explanation:

4 0
2 years ago
Adam has 5 barrels of different volumes. The barrel of which volume can contain the most liquid?
Natalija [7]

Answer:

D

Explanation:

5 0
2 years ago
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