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Use the following information for determining sound intensity. The level of sound \(\boldsymbol{\beta}\), in decibels, with an intensity of \(I\), is given by \(\boldsymbol{\beta}=10 \log \left(I / I_{0}\right),\) where \(I_{0}\) is an intensity of \(10^{-12}\) watt per square meter, corresponding roughly to the faintest sound that can be heard by the human ear. In Exercises 65 and 66 , find the level of sound \(\boldsymbol{\beta}\). Due to the installation of a muffler, the noise level of an engine was reduced from 88 to 72 decibels. Find the percent decrease in the intensity level of the noise as a result of the installation of the muffler.

Short Answer

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The percentage decrease in the intensity of the noise as a result of the installation of the muffler is the result obtained in Step 3

Step by step solution

01

Find the intensity before muffler installation

The sound intensity \( I_{1} \) before the muffler was installed can be calculated using the formula \( \beta = 10 \log(I / I_{0}) \), with \( \beta = 88 \) decibels and \( I_{0} = 10^{-12} \). Re-arrange this equation to \( I_{1} = I_{0} * 10^(\beta / 10) \), and fill in the given values.
02

Find the intensity after muffler installation

Similarly, the sound intensity \( I_{2} \) after the muffler was installed can be calculated using the same formula, but now with \( \beta = 72 \) decibels. Re-arrange the equation to \( I_{2} = I_{0} * 10^(\beta / 10) \), and again fill in the given values.
03

Calculate the percentage decrease

The percentage decrease in the intensity of the noise as a result of the installation of the muffler can be calculated using the formula \( percent\ decrease = \((I_{1} - I_{2}) / I_{1}\) * 100% \), and input the values of \( I_{1} \) and \( I_{2} \) obtained from step 1 and 2 respectively.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Decibels
Decibels are a measure for expressing the intensity of sound. They help us describe how loud or soft a sound is in a numerical value, making it easier to compare different sounds. One important thing to know about decibels ( hed standard abbreviation is dB) is that they do not represent a linear measure. This means that an increase by ten decibels does not double the noise.- The formula for finding the sound level \(\beta\), in decibels, is: \(\beta = 10 \log(I / I_{0})\).- \(I_{0}\) is the lowest intensity the human ear can hear, which is about \(10^{-12}\) watts per square meter.For example, if a sound is measured at 88 decibels before a change (like installing a muffler), it can be calculated into a physical sound intensity through this formula. By understanding decibels, students can connect numerical sound levels to real-world experiences of hearing.
Logarithmic Scale
A logarithmic scale is a type of scale used for a range of values that vary exponentially. In terms of sound intensity, the decibel scale is logarithmic. This allows for a wide range of sound levels to be expressed in a manageable way. - Logarithmic scales are beneficial because they can easily represent large differences in data. - With sound, every increase of 10 dB represents a tenfold increase in intensity. This characteristic is why two sounds that differ in intensity by just a few decibels can actually be quite different in terms of real-world loudness. Thanks to this scale, even intense sound waves can be communicated through relatively small numbers.
Percentage Decrease
When calculating a percentage decrease in sound intensity, you're essentially finding out how much the sound level has been reduced in comparison to its original level. This is particularly useful when measuring how effective a noise-reduction solution is, such as installing a muffler.- First, determine the initial and final sound intensities. In our case, before (88 dB) and after (72 dB) a muffler is installed.- Next, calculate their respective intensities using the formula \(I = I_{0} * 10^{(\beta / 10)}\) for both levels.- Finally, the percentage decrease can be computed with: \[(\text{Initial Intensity} - \text{Final Intensity}) / \text{Initial Intensity} \times 100\%\].This approach provides a clear picture of how much sound has been reduced, helping to understand the effectiveness of modifications made to reduce sound pollution.

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Most popular questions from this chapter

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