Analyzing Destructive Testing: Measurement Systems and Applications

This report provides a comprehensive analysis of Measurement System Analysis (MSA) within the context of destructive testing, focusing on its application in determining material robustness and adhesiveness. It contrasts destructive testing with non-destructive testing, highlighting the advantages of the former in providing detailed information about material properties through methods that involve breaking down the specimen. The report further explores the use of high-speed cameras and stress gauges to document and analyze destructive failures in large structures and software. Specific software testing techniques, such as regression testing, are examined, with a focus on tools like Selenium for automating regression tests. The document also differentiates MSA for destructive and non-destructive tests, emphasizing the alteration of the test subject in destructive testing scenarios.

Running Head: MSA FOR DESTRUCTIVE TESTING 1
MSA for Destructive Testing
Name
Institutional Affiliation

MSA FOR DESTRUCTIVE TESTING 2
Destructive testing
Destructive testing is tests carried out to determine the robustness or adhesiveness of a
material. It includes methods where the specimen is broken down to discover its mechanical
properties like toughness, hardness or strength (Amenabar, Lopez & Mendikute, 2013). Unlike
nondestructive testing, destructive testing is more comfortable to carry out and provide more
information about the specimen, making them easier to understand. The cost that comes with
destroying a small number of objects is eligible when it comes to determining the suitability of
the mass-produced objects. The analysis of the destructive failure is documented through high-
speed cameras that are recorded in a loop manner until the fault in the purpose is detected. The
detection of the fault or negligence is done through a stress gauge or sound detector, which gives
out a signal that triggers the cameras (Hoła and Schabowicz 2010). The recording modes of
these cameras are high tech thus are advanced to record any destructive failure. As soon as the
fault is detected, the cameras stop recording. The camera images are then played back in slow
motion to determine the adverse event and the occurrence of the crash.
The methods and techniques entail testing of large structures and software testing.
Testing of large structures includes structures that are building or mom buildings such as dams
and bridges. They are rarely subjected to destructive testing because of the cost of construction
and the scale, but earthquake engineering needs to understand how the structures will overcome
the pressures in earthquake-prone areas. Therefore, destructive testing is often carried out in
earthquake zone structures. To discover the seismic design performance of a building in an
earthquake zone, crash tests are carried out to determine the performance of the structure
(Martines, Velasco & Maddox, 2012). In software testing, on the other hand, destructive testing
is conducted to test the robustness of the software by causing it to fail in an uncontrolled manner.

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Software engineering comprises of many destructive testing techniques including; regression
testing, loop testing, alpha or beta testing, equivalent partitioning, and so on.
Regression testing is a destructive test carried out to determine whether new code has
changed the existing features of the software. It is done to confirm that existing functionalities
are still up and running by full or partial re-execution of existing test cases. The need for
regression testing occurs when the software encounters new features, issues with the
performance, or there is a need for a defect fixing (Martines, Velasco & Maddox, 2012).
Regression testing is done using the techniques below; retest all, regression test selection and
prioritization of test cases.
Regression tests contain costs and manual execution results in more costs as it is time-
consuming. Because of this, the regression test has to be automated as it will allow for re-
usability and continuous regression cycles. Therefore there is a need for a regression tool in
software engineering. An excellent example of such a device is Selenium. Selenium is a browser-
based regression testing tool and open source equipment that handles web application
automatically.
Regression Testing
Retest All
Regression Test
Selection
Prioritization of Test
Cases

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Measurement System Analysis (MSA)
A measurement system analysis is a thorough evaluation process through a specially
designed experiment to determine the components for variation in the process of measurement.
The process of providing the data may be incorrect similar to the production process. The
function of the measurement system analysis includes assessing the test methods, the instruments
used for measuring and the process of getting the measurements of the data to ensure quality
analysis and integrity of the data (Amenabar, Lopez and Mendikute, 2013). The MSA for
Selenium will start by assessing whether it is the correct instrument to carry out the approach.
Then carry out a Gage R & R to analyze how the destructive tool is by repeatability and
reproducibility. Repeatability is the equipment variation or measurement system error. The
design entails checking if the parts of the software are changed during testing. It is done through
managing the configuration method by continuously modifying the code. It is to ensure the
regression testing is sufficient. The database containing the regression tool and the regression
testing must be isolated. The regression phrase change must be immune to any moves by the
developer.
The difference that emerges from a Measurement System Analysis of destructive testing
and a nondestructive test is as follows; in a nondestructive test, the part is not altered during the
examination (Prassianakis, Grum, & Hellenic, 2011). Different developers can measure the same
part repeatedly. In a destructive test, the part, in this case, the software is changed during the
testing.

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References
Amenabar, I., Lopez, F., & Mendikute, A. (2013). In introductory review to THz non-destructive
testing of composite mater. Journal of Infrared, Millimeter, and Terahertz Waves, 34(2),
152-169.
Hoła, J., & Schabowicz, K. (2010). State-of-the-art non-destructive methods for diagnostic
testing of building structures–anticipated development trends. Archives of civil and
mechanical engineering, 10(3), 5-18.
Martínez, C., Velasco, B. P., & Maddox Arts. (2012). Destructive testing. London: Maddox Arts.
Prassianakis, I. N., Grum, J., & Hellenic Society for NDT. (January 01, 2011). Non destructive
testing and preventive technology. International Journal of Materials and Product
Technology, 41.