Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

 
 
Session Overview
Session
TC 3.04: Thematic Symposium: TC 3 - Fracture and fatigue failure of engineering materials and structures 4
Time:
Wednesday, 28/Aug/2024:
11:00am - 12:45pm

Session Chair: Sabrina Vantadori
Session Chair: Francesco Iacoviello
 Location: HALL Voda Jug (Hall 1)

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Presentations
11:00am - 11:15am

ADVANCED CHARACTERIZATION OF BASALT FIBER REINFORCED COMPOSITES USING ENERGY METHODS

Martina Totaro, Giacomo Risitano, Pasqualino Corigliano, Guido Di Bella, Danilo D'Andrea

University of Messina, Italy


11:15am - 11:30am

Development of a damage-dependent modified material model for enhanced description of transient material behavior

Tim Korschinsky1, Benjamin Möller1, Marvin Kiel1, Matthias Hecht2

1Fraunhofer LBF, Institute for Structural Durability and System Reliability; 2Technical University of Darmstadt, Research Group System Reliability, Adaptive Structures, and Machine Acoustics SAM


11:30am - 11:45am

FLOW FORMING TO IMPROVE FATIGUE LIFE OF ORTHOPEDIC IMPLANTS

Mohamed Akram Mechter, Mina Gadour, Léa Romain, Myriam Brochu

Polytechnique montreal, Canada


11:45am - 12:00pm

FATIGUE RESISTANCE PREDICTION MODEL APPLIED TO 410NiMo STAINLESS STEEL WELDS

Cédric Constantineau1, Pierre-Antony Deschênes2, Myriam Brochu1

1Polytechnique Montréal, 2500 Chem. De Polytechnique, Montréal, Canada; 2Hydro-Quebec Research Institute (IREQ), 1800 Bd Lionel-Boulet, Varennes, Canada


12:00pm - 12:15pm

NOVEL INDICATOR & INNOVATIVE METHOD FOR ONSET DAMAGE DETECTION IN VERY HIGH CYCLE FATIGUE TESTS (VHCF)

Julio C. Gomez-Mancilla

INSTITUTO POLITÉNICO NACIONAL, IPN, Mexico


12:15pm - 12:30pm

EXPLORING THE IMPACT OF HETEROGENEOUS YIELDING ON DUCTILE FAILURE IN ALUMINIUM ALLOYS

David Morin, Lars Edvard Blystad Dæhli, Odd Sture Hopperstad

NTNU, Norway


12:30pm - 12:45pm

EVALUATION OF CRACK FRONT GEOMETRY BY STRAIN FIELD CLASSIFICATION USING NEURAL NETWORKS

Giovanni Chianese1, Giovanni Pio Pucillo2, Davide Leonetti3,4

1Institute of Sciences and Technologies for Sustainable Energy and Mobility (STEMS),National Research Council of Italy, Italy; 2Department of Industrial Engineering, University of Naples Federico II, Italy; 3Eindhoven University of Technology, Department of the Built Environment, The Netherlands; 4EAISI, Eindhoven, The Netherlands