Results 211 to 220 of about 23,805,970 (249)

On the identification and uniqueness of constitutive parameters for a non-local GTN-model

, 2020
The present study proposes a parameter identification and calibration strategy for a specific non-local GTN-model, which has been developed to circumvent spurious mesh dependency during simulation of ductile failure. The parameter calibration strategy is
A. Seupel, Geralf Hütter, M. Kuna
semanticscholar   +1 more source

Mechanism of increasing spinnability by multi-pass spinning forming – Analysis of damage evolution using a modified GTN model

International Journal of Mechanical Sciences, 2019
Multi-pass spinning forming is one of the major approaches to manufacture rotationally symmetric thin-walled components, which is strongly influenced by the spinnability of materials. But it remains an open question regarding the formability limit in the
He Wu, Wenchen Xu, D. Shan, B. Jin
semanticscholar   +1 more source

Meso-mechanics and damage evolution of AA5182-O aluminum alloy sheet Based on the GTN model

, 2020
According to meso-damage mechanics, the evolution of the volume of micro-voids is an important factor that contributes to damage and fracture. Improving the prediction accuracy of plastic deformation of aluminum alloy sheet is an important endeavor for ...
Gui Li, Saisai Cui
semanticscholar   +1 more source

An extended GTN model for low stress triaxiality and application in spinning forming

Journal of Materials Processing Technology, 2019
The Gurson-Tvergaard-Needleman (GTN) models are effective to predict damage evolution and ductile fracture during plastic deformation, while the existing modified GTN models mainly focus on the range of stress triaxiality between −1/3  η ...
He Wu, Wenchen Xu, D. Shan, B. Jin
semanticscholar   +1 more source

A cyclic GTN model for ultra-low cycle fatigue analysis of structural steels

International Journal of Fatigue, 2023
Yue Yin, Wenjian Qin, Tengyu Ma, Jinghan Bai   +3 more
semanticscholar   +1 more source

A study on the parameter identification and failure prediction of ductile metals using Gurson–Tvergaard–Needleman (GTN) model

Materials Today Communications, 2023
Tairui Zhang, Yafang Zhao
semanticscholar   +1 more source

Prediction of magnesium alloy edge crack in edge-constraint rolling process by using a modified GTN model

International Journal of Mechanical Sciences, 2022
Chenchen Zhao, Tao Wang, Zi-xuan Li, Jianglin Liu, Zhiquan Huang, Qing-xue Huang   +5 more
semanticscholar   +1 more source

The biofilm life cycle: expanding the conceptual model of biofilm formation

Nature Reviews Microbiology, 2022
Karin Sauer, Paul Stoodley, Darla M Goeres   +2 more
exaly  

A novel method for predicting mechanical properties of megacasting alloy based on the modified GTN model and machine learning

Engineering Failure Analysis
Qiangqiang Zhai, Ren-zhi Tang, Zhao Liu, Ping Zhu   +3 more
semanticscholar   +1 more source

Material Parameters in the GTN Model for Ductile Fracture Simulation of G20Mn5QT Cast Steels

Journal of materials in civil engineering, 2022
Yue Yin, Tengyu Ma, Q. Han, Yan Lu, Y. Zhang   +4 more
semanticscholar   +1 more source