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SUMMARY:CESS Seminar Series - Probabilistic modeling of fatigue resistance
  for welded joints
DTSTART:20220401T121500
DTEND:20220401T130000
DTSTAMP:20260429T045326Z
UID:43409beb7cc648ceb1500aeda11572a4ac83cead1c3672191e60cd74
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Davide Leonetti\, Eindhoven University of Technology\nA
 bstract\nThe design of civil infrastructures subjected to fatigue loading 
 should satisfy a predetermined safety level\, usually expressed in terms o
 f structural reliability. A sound probabilistic model of the fatigue resis
 tance is required for this purpose. A better\, i.e. more reliable\, modeli
 ng of the fatigue resistance allows reducing the uncertainty\, especially 
 those related to the threshold\, which has economic implications for bridg
 e infrastructures.\nThis presentation concerns the probabilistic modeling 
 for the fatigue resistance for welded joints in bridges using fatigue resi
 stance curves and based on a fracture mechanics derivation. The fatigue re
 sistance curves relate the load level\, i.e. the stress range\, to the num
 ber of cycles to failure\, whereas fracture mechanics enables modeling the
  macrostructural fatigue damage consisting of the stable cycle-by-cycle pr
 opagation of cracks. Two types of cyclic loading are considered: (1) const
 ant amplitude (CA) loading\, which is applied in the majority of laborator
 y tests carried out in the past to characterize the fatigue strength of th
 e material and of structural components and (2) variable amplitude (VA) lo
 ading\, the type of loading that structural components in bridges experien
 ce in service where the threshold phenomena are relevant.\n\nBiography\nDa
 vide Leonetti was born on 16-12-1989 in Caserta\, Italy. He studied Mechan
 ical Engineering for Design and Production at the “Federico II” Univer
 sity of Naples. In 2015 he graduated within the RaMeG (Railway Mechanics G
 roup) on a thesis about the strength analysis of railway switch maneuverin
 g systems for high-speed railway turnouts for train speeds up to 350km/h.\
 nHe got his Ph.D. at Eindhoven University of Technology with a study on th
 e formulation and the use of advanced probabilistic fatigue resistance mod
 els for welded joints using both stress-life curves and linear elastic fra
 cture mechanics.\nSince 2020 he is employed at Eindhoven University of Tec
 hnology as an assistant professor in Steel Structures and Structural Healt
 h Monitoring. His current research projects concern further investigation 
 of fatigue crack initiation and growth in steel bridges as well as the use
  of Artificial intelligence for inspection and structural health monitorin
 g of civil infrastructures.\n 
LOCATION:GC B3 30 https://plan.epfl.ch/?room==GC%20B3%2030
STATUS:CONFIRMED
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