Results 81 to 90 of about 11,197 (222)

Coupled identification of the hardening behavior laws and Gurson–Tvergaard–Needleman damage parameters - Validation on tear test of 12NiCr6 CT specimen

Fracture and Structural Integrity, 2019
This work is devoted to the application of the micromechanical Gurson-Tvergaard-Needleman (GTN) model to study the ductile tearing of 12NiCr6 steel. GTN model is widely used to describe the three stages of ductile tearing: nucleation, growth and the ...
Mohamed Hadj Miloud, Ibrahim Zidane, Mohammed Mendas   +2 more
doaj   +3 more sources

Assessment of Genetic Profiling in Gestational Trophoblastic Neoplasia Cases is an Innovative Prognostic Tool for Stratification of Malignant or Benign Tumors: A Systematic Review Study

Russian Open Medical Journal
Rationale — Gestational trophoblastic neoplasia (GTN) is an abnormal proliferation of placental trophoblastic cells, often with fatal outcome as metastasis. The remarkable role of genetic alterations in GTN has been scientifically confirmed.
Aghdas Ebadi Jamkhane, Seyedeh Niloofar Hamidi, Zahra Valian, Sedigheh Akbarzadeh Jelodar   +3 more
doaj   +1 more source

Determination of the Constants of GTN Damage Model Using Experiment, Polynomial Regression and Kriging Methods

, 2017
Damage models, particularly the Gurson–Tvergaard–Needleman (GTN) model, are widely used in numerical simulation of material deformations. Each damage model has some constants which must be identified for each material.
F. Rahimidehgolan, G. Majzoobi, Farhad Alinejad, J. F. Sola   +3 more
semanticscholar   +1 more source

Rapid Intravenous Glyceryl Trinitrate in Ischemic Damage (RIGID): A potential neuroprotection strategy for acute ischemic stroke (AIS) patients

Neurotherapeutics
Despite advances in intravenous thrombolysis and endovascular thrombectomy, numerous acute ischemic stroke survivors continue to experience various disability levels.
Lipeng Cai, Yuchuan Ding, Gary Rajah, Yanna Tong, Honglian Duan, Zhenzhen Han, Jie Gao, Zhe Cheng, Ruiqiang Xin, Shangqian Jiang, Xiaokun Geng   +10 more
doaj   +1 more source

Differential effects of organic nitrates on arterial diameter among healthy Japanese participants with different mitochondrial aldehyde dehydrogenase 2 genotypes: randomised crossover trial

BMJ Open
Objectives To determine whether polymorphisms at codon 487 (*1, GAA=Glu; *2, AAA=Lys) of mitochondrial aldehyde dehydrogenase 2 (ALDH2) influence nitroglycerine (glyceryl trinitrate (GTN))-induced vasodilation, and whether GTN or isosorbide dinitrate ...
Hisatomi Arima, Satoko Sakata
doaj   +1 more source

Nonlocality and entanglement transfer of an open three-qubit W state in the background of a dilaton black hole

European Physical Journal C: Particles and Fields
Constrained by the complexity of theoretical calculations, current research on genuine tripartite nonlocality (GTN) within the relativistic framework concentrates mainly on Greenberger–Horne–Zeilinger-like states, with few studies addressing W states or ...
Chun-yao Liu, Zheng-wen Long, Qi-liang He   +2 more
doaj   +1 more source

Experimental determination of critical void volume fraction fF for the Gurson Tvergaard Needleman (GTN) model

, 2016
The goal of the present study is the experimental determination of critical void volume fraction at the moment of failure (f F ) in the GTN model. The experiment involved static tensile tests of notched specimens. The notch geometry allowed to obtain low
W. Wciślik
semanticscholar   +1 more source

Swarm learning anomaly detection framework for cloud data center using multi-channel BiWGAN-GTN and CEEMDAN

Digital Communications and Networks
Anomaly detection is an important task for maintaining the performance of cloud data center. Traditional anomaly detection primarily examines individual Virtual Machine (VM) behavior, neglecting the impact of interactions among multiple VMs on Key ...
Lun Tang, Yuchen Zhao, Chengcheng Xue, Zhiwei Jiang, Wei Zou, Yanping Liang, Qianbin Chen   +6 more
doaj   +1 more source

Evaluating the Applicability of GTN Damage Model in Forward Tube Spinning of Aluminum Alloy

, 2016
Tube spinning is an effective plastic-forming technology for forming light-weight, high-precision and high-reliability components in high-tech fields, such as aviation and aerospace.
Xianxian Wang, M. Zhan, Jing Guo, Bin Zhao   +3 more
semanticscholar   +1 more source

RDM Education with the Galaxy Training Network (GTN) - FAIR and scalable RDM training with Galaxy, GTN and TIaaS

The Galaxy Project [1][2] is a widely-used open-source user-friendly platform for data science research that offers an extensive suite of tools and services for analyzing and visualizing research data. The Galaxy Training Network (GTN; [3][4]) is an open educational resource (OER) that provides a huge collection of training material for researchers ...
Müller, Teresa, Hiltemann, Saskia
openaire   +2 more sources