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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

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)

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 Leonetti^3,4

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

Conference Agenda