Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Daniel Sparkman"'
Publikováno v:
IEEE Signal Processing Magazine. 39:68-77
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e1254a34f0eca8dac75284c37c81730f
https://doi.org/10.1109/msp.2021.3118904
https://doi.org/10.1109/msp.2021.3118904
Publikováno v:
JOM. 73:3230-3239
This study presents a correlative characterization of internal porosity within a Ti-6Al-4V (Ti64) additively manufactured sample. An x-ray computed tomography (XCT) reconstruction is compared to a mechanical polishing-based serial sectioning (SS) rec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6af905ee189c8b789e633fceaf919924
https://doi.org/10.1007/s11837-021-04863-z
https://doi.org/10.1007/s11837-021-04863-z
Publikováno v:
Signal Processing, Sensor/Information Fusion, and Target Recognition XXIX.
Recent advances in the development of artificial intelligence and machine learning (AI/ML) techniques have shown great potential for enhancing the modeling and characterization of materials science issues. AI/ML techniques revolutionize big data anal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7381648ba90bf3c1e58bdf00ac48b500
https://doi.org/10.1117/12.2559030
https://doi.org/10.1117/12.2559030
Autor:
George Em Karniadakis, Khemraj Shukla, James L. Blackshire, Daniel Sparkman, Patricio Clark Di Leoni
We introduce an optimized physics-informed neural network (PINN) trained to solve the problem of identifying and characterizing a surface breaking crack in a metal plate. PINNs are neural networks that can combine data and physics in the learning pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d476ce9ce9bbec253046b0ff8dd69a53
http://arxiv.org/abs/2005.03596
http://arxiv.org/abs/2005.03596
Publikováno v:
Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems. 3
Characterization of barely visible impact damage (BVID) in polymer matrix composites (PMCs) is necessary to use slow crack growth damage tolerance models and evaluate remaining life of PMC components. Azimuthally scanned angled-beam pulse-echo ultras
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ade1b46c62443adb5524532c030b9762
https://doi.org/10.1115/1.4046726
https://doi.org/10.1115/1.4046726
Publikováno v:
Journal of Nondestructive Evaluation. 39
This paper studies the detection of hidden polymer matrix composite delaminations with a pitch–catch ultrasonic testing system and an agglomerative clustering algorithm. Existing ultrasonic testing methods characterize damage through normal-inciden
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ca186ae2df0e5a2aff074b4dcff48b9
https://doi.org/10.1007/s10921-019-0649-7
https://doi.org/10.1007/s10921-019-0649-7
Autor:
John C. Aldrin, Mark Flores, Daniel Sparkman, John N. Wertz, Josiah Dierken, David Zainey, Sarah Wallentine, Mike D. Uchic, Norm Schehl, John T. Welter
Publikováno v:
AIP Conference Proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::593073501f7c9661e7db95efae894b2b
https://doi.org/10.1063/1.5099748
https://doi.org/10.1063/1.5099748
Autor:
Daniel Sparkman, Josiah Dierken, John N. Wertz, Sarah Wallentine, Sean P. Donegan, David Zainey
Publikováno v:
AIP Conference Proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac69e7b43ac9d45a05c720d2c244b071
https://doi.org/10.1063/1.5099757
https://doi.org/10.1063/1.5099757
Publikováno v:
AIP Conference Proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e12ea992a7dbec95e5a8702e43a77cd0
https://doi.org/10.1063/1.5099816
https://doi.org/10.1063/1.5099816
Publikováno v:
AIP Conference Proceedings.
The US Air Force seeks to implement damage tolerant lifecycle management of composite structures. Nondestructive characterization of damage is a key input to this framework. One approach to characterization is model-based inversion of the ultrasonic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e57ef8a06f2ba629625d85705069152
https://doi.org/10.1063/1.5031602
https://doi.org/10.1063/1.5031602