Filtering by
- All Subjects: Materials Science
- All Subjects: CFD
- Creators: Mechanical and Aerospace Engineering Program
![136339-Thumbnail Image.png](https://d1rbsgppyrdqq4.cloudfront.net/s3fs-public/styles/width_400/public/2021-05/136339-Thumbnail%20Image.png?versionId=MAftq2v8iFJLHwU2dj_LqT2bcrHSm1uj&X-Amz-Content-Sha256=UNSIGNED-PAYLOAD&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIASBVQ3ZQ42ZLA5CUJ/20240611/us-west-2/s3/aws4_request&X-Amz-Date=20240611T143622Z&X-Amz-SignedHeaders=host&X-Amz-Expires=120&X-Amz-Signature=62e608d502e30723e3b9fe37cb7906f370bd9b7c66df639702d81bd1bb62b5b0&itok=tYy2ypM7)
![136455-Thumbnail Image.png](/s3/files/styles/width_400/public/2021-05/136455-Thumbnail%20Image.png?itok=wiULWLow)
![136994-Thumbnail Image.png](https://d1rbsgppyrdqq4.cloudfront.net/s3fs-public/styles/width_400/public/2021-05/136994-Thumbnail%20Image.png?versionId=cr_Q0v91TYhXEXyiVNapgzD7WvrU1s0X&X-Amz-Content-Sha256=UNSIGNED-PAYLOAD&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIASBVQ3ZQ42ZLA5CUJ/20240613/us-west-2/s3/aws4_request&X-Amz-Date=20240613T151307Z&X-Amz-SignedHeaders=host&X-Amz-Expires=120&X-Amz-Signature=252cf083a8a60f0e1d5f31c3ce2f11779d53f3b5631a3501cb241928dece1d76&itok=HfFCGzhq)
![136658-Thumbnail Image.png](https://d1rbsgppyrdqq4.cloudfront.net/s3fs-public/styles/width_400/public/2021-05/136658-Thumbnail%20Image.png?versionId=.RjFlHjgrUURN0.B8IHmOM.3acRcPUgp&X-Amz-Content-Sha256=UNSIGNED-PAYLOAD&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIASBVQ3ZQ42ZLA5CUJ/20240613/us-west-2/s3/aws4_request&X-Amz-Date=20240613T171811Z&X-Amz-SignedHeaders=host&X-Amz-Expires=120&X-Amz-Signature=883a3f558b12cd402b46d9e7e25a1c6f163417ee842f6ce502ac91ec7a94603b&itok=ZONvStP9)
![136442-Thumbnail Image.png](https://d1rbsgppyrdqq4.cloudfront.net/s3fs-public/styles/width_400/public/2021-05/136442-Thumbnail%20Image.png?versionId=cV5A_BQrF5l8l28oKdGbyTMAZvpyaALT&X-Amz-Content-Sha256=UNSIGNED-PAYLOAD&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIASBVQ3ZQ42ZLA5CUJ/20240612/us-west-2/s3/aws4_request&X-Amz-Date=20240612T220600Z&X-Amz-SignedHeaders=host&X-Amz-Expires=120&X-Amz-Signature=d6c69b5149427df03c1f29e8db04af4f5de6229049f13f78ba85af2cae960c05&itok=VMMcCi7B)
![148437-Thumbnail Image.png](https://d1rbsgppyrdqq4.cloudfront.net/s3fs-public/styles/width_400/public/2021-07/148437-Thumbnail%20Image.png?versionId=JvsMA5svo5Hgv.XA4JIUI5Wykwyq86oX&X-Amz-Content-Sha256=UNSIGNED-PAYLOAD&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIASBVQ3ZQ42ZLA5CUJ/20240613/us-west-2/s3/aws4_request&X-Amz-Date=20240613T184558Z&X-Amz-SignedHeaders=host&X-Amz-Expires=120&X-Amz-Signature=8f8d0a43d02c64b795dbb5483defb39c6086a1555e7fff8c2a27abcb8b7509d5&itok=qvGoNm8f)
A novel CFD algorithm called LEAP is currently being developed by the Kasbaoui Research Group (KRG) using the Immersed Boundary Method (IBM) to describe complex geometries. To validate the algorithm, this research project focused on testing the algorithm in three dimensions by simulating a sphere placed in a moving fluid. The simulation results were compared against the experimentally derived Schiller-Naumann Correlation. Over the course of 36 trials, various spatial and temporal resolutions were tested at specific Reynolds numbers between 10 and 300. It was observed that numerical errors decreased with increasing spatial and temporal resolution. This result was expected as increased resolution should give results closer to experimental values. Having shown the accuracy and robustness of this method, KRG will continue to develop this algorithm to explore more complex geometries such as aircraft engines or human lungs.
![131374-Thumbnail Image.png](https://d1rbsgppyrdqq4.cloudfront.net/s3fs-public/styles/width_400/public/2021-07/131374-Thumbnail%20Image.png?versionId=eTOjGh0hKh4aVAdAxy8800QUB.i7w2PU&X-Amz-Content-Sha256=UNSIGNED-PAYLOAD&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIASBVQ3ZQ42ZLA5CUJ/20240611/us-west-2/s3/aws4_request&X-Amz-Date=20240611T215449Z&X-Amz-SignedHeaders=host&X-Amz-Expires=120&X-Amz-Signature=0e43a84dd979d03210fc3cdb2f870da17eae90edde8f9dd1e014514229e0f09d&itok=KdD5HIga)
![131242-Thumbnail Image.png](https://d1rbsgppyrdqq4.cloudfront.net/s3fs-public/styles/width_400/public/2021-07/131242-Thumbnail%20Image.png?versionId=GVqARb02p9Cb.neg8tHIRM29cvZGlrlB&X-Amz-Content-Sha256=UNSIGNED-PAYLOAD&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIASBVQ3ZQ42ZLA5CUJ/20240613/us-west-2/s3/aws4_request&X-Amz-Date=20240613T153946Z&X-Amz-SignedHeaders=host&X-Amz-Expires=120&X-Amz-Signature=9f6966bf7cc876572026f68c5d8960b959f6392a51155400a3ec948f17d93f64&itok=9gC15Szx)
The two general categories of structural health monitoring (SHM) systems include passive and active monitoring. Active SHM systems utilize an input of energy to monitor the health of a structure (such as sound waves in ultrasonics), while passive systems do not. As such, passive SHM tends to be more desirable. A system could be permanently fixed to a critical location, passively accepting signals until it records a damage event, then localize and characterize the damage. This is the goal of acoustic emissions testing.
When certain types of damage occur, such as matrix cracking or delamination in composites, the corresponding release of energy creates sound waves, or acoustic emissions, that propagate through the material. Audio sensors fixed to the surface can pick up data from both the time and frequency domains of the wave. With proper data analysis, a time of arrival (TOA) can be calculated for each sensor allowing for localization of the damage event. The frequency data can be used to characterize the damage.
In traditional acoustic emissions testing, the TOA combined with wave velocity and information about signal attenuation in the material is used to localize events. However, in instances of complex geometries or anisotropic materials (such as carbon fibre composites), velocity and attenuation can vary wildly based on the direction of interest. In these cases, localization can be based off of the time of arrival distances for each sensor pair. This technique is called Delta T mapping, and is the main focus of this study.