Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Prakash Thamburaja"'
Publikováno v:
Frattura ed Integrità Strutturale, Vol 18, Iss 68, Pp 197-208 (2024)
This paper discusses the application of machine learning techniques, notably artificial neural networks (ANN), in the fracture analysis of semi-infinite elastic plates with edge cracks. The Stress Intensity Factor (SIF) model for a semi-infinite plat
Externí odkaz:
https://doaj.org/article/f23d9a10ab5e423787342fe79343d6b9
Autor:
Teoman Özer, Vladimir B. Taranov, Roman G. Smirnov, Thomas Klemas, Prakash Thamburaja, Sanith Wijesinghe, Burak Polat
Publikováno v:
Advances in Mathematical Physics, Vol 2012 (2012)
Externí odkaz:
https://doaj.org/article/70ad2b7fec504fad9503418ed68db3ea
Efficient Neighbour Search Algorithm for Nonlocal-Based Simulations—Application to Failure Mechanics
Autor:
Sarah Kamaludin, Prakash Thamburaja
Publikováno v:
Journal of Failure Analysis and Prevention. 23:540-547
Autor:
Ho Yong Shin, Carson Lawrence, Kalyan Raj Kota, Prakash Thamburaja, Arun Srinivasa, Thomas E. Lacy, Junuthula Reddy
Publikováno v:
Mechanics of Advanced Materials and Structures. 29:7115-7159
Frequency-domain fatigue damage prediction based on spectral moments provides a framework in which anticipated life calculated over an entire structure subject to vibratory random loading (typically in the high cycle fatigue regime) can be rapidly ob
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13246a869b09054363af93f3c76ac1c6
https://doi.org/10.22541/au.167095356.66484220/v1
https://doi.org/10.22541/au.167095356.66484220/v1
Publikováno v:
Physica B: Condensed Matter. 659:414877
Publikováno v:
Scopus-Elsevier
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::06fb38ffa4a9db427ccf584ffb951168
http://www.scopus.com/inward/record.url?eid=2-s2.0-85063375360&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-85063375360&partnerID=MN8TOARS