Number of the records: 1
PREDICTION OF FRACTURE TOUGHNESS TRANSITION FROM TENSILE TEST DATA APPLYING NEURAL NETWORKS
- 1.
SYSNO 0484701 Title PREDICTION OF FRACTURE TOUGHNESS TRANSITION FROM TENSILE TEST DATA APPLYING NEURAL NETWORKS Author(s) Dlouhý, I. (CZ)
Hadraba, Hynek (UFM-A) RID, ORCID
Chlup, Zdeněk (UFM-A) RID, ORCID
Válka, Libor (UFM-A)
Žák, L. (CZ)Source Title PROCEEDING OF THE ASME PRESSURE VESSELS AND PIPING CONFERENCE, Codes and Standards, Vol. 1. S. 101-105. - New York : American Society Mechanical Engineers, 2012 Conference ASME 2011 - Pressure Vessels and Piping Conference, 17.07.2011 - 21.07.2011, Baltimore Document Type Konferenční příspěvek (zahraniční konf.) Grant GAP108/10/0466 GA ČR - Czech Science Foundation (CSF), CZ - Czech Republic CEZ AV0Z2041904 - UFM-A Language eng Country US Keywords PRECRACKED CHARPY SPECIMENS * IMPACT TOUGHNESS * MO-V * STEEL Cooperating institutions Vysoké učení technické v Brně (Czech Republic) Permanent Link http://hdl.handle.net/11104/0279850
Number of the records: 1