Powered by Engineering Brain, Japan | What is PKV? | PKV Methodology | KnowledgeRank v4.0.0: PKV Trends of My Authored Papers Are Now Available on My Page

Fracture and Structural Integrity - 巻 18 / 号 68

タイトル
著者 巻 号 ページ 年 PKV
Fracture processes numerical modeling of elastic-brittle bodies with statistically distributed subregions strength values
Eugeniia Feklistova, Artur Mugatarov, Valeriy Wildemann, Anton Agishev 18 68 425–439 2024 0.0
平均評価: 0.0 / 5 (0 件のレビュー)
Numerical investigation of an extra-deep drawing process with industrial parameters: formability analysis and process optimization
Amina Belguebli, Ibrahim Zidane, Adel Hadj Amar, Abdessoufi Benhamou 18 68 45–62 2024 0.0
平均評価: 0.0 / 5 (0 件のレビュー)
Improving the performance of damage repair in thin-walled structures with analytical data and machine learning algorithms
Abdul Aabid Shaikh, Md Abdul Raheman, Meftah Hrairi, Muneer Baig 18 68 310–324 2024 0.0
平均評価: 0.0 / 5 (0 件のレビュー)
Exploring strength and ductility responses of beam-column joints using UHPC and UHPFRC employing concrete damaged plasticity
Guilherme Santos da Silveira, Carlos Natã Zenatti, Gustavo de Miranda Saleme Gidrão , Rúbia Mara Bosse, Paulo Rogério Novak 18 68 77–93 2024 0.0
平均評価: 0.0 / 5 (0 件のレビュー)
Effect of fiber orientation-based composite lamina on mitigation of stress intensity factor for a repaired plate: a finite element study: Repair of thin-walled structures
Abdul Aabid Shaikh, Muneer Baig, Meftah Hrairi, Jaffar Syed Mohamed Ali 18 68 209–221 2024 0.0
平均評価: 0.0 / 5 (0 件のレビュー)
Machining effects and multi-objective optimization in Inconel 718 turning with unitary and hybrid nanofluids under MQL
Satish Chinchanikar, Paresh Kulkarni 18 68 222–241 2024 0.0
平均評価: 0.0 / 5 (0 件のレビュー)
Phenomenon of ignition and explosion of high-entropy alloys of systems Ti-Zr-Hf-Ni-Cu, Ti-Zr-Hf-Ni-Cu-Co under quasi-static compression
Oleksandra Zatsarna, Sergiy Kotrechko, Oleksandr Filatov, Vadim Bondarchuk, Georgiy Firstov, Vladimir Dubinko 18 68 410–421 2024 0.0
平均評価: 0.0 / 5 (0 件のレビュー)
Shapley additive explanation on machine learning predictions of fatigue lifetimes in piston aluminum alloys under different manufacturing and loading conditions
Mohammad Azadi, Mahmood Matin 18 68 357–370 2024 0.0
平均評価: 0.0 / 5 (0 件のレビュー)
Predictive Modeling of Fracture Behavior in Ti6Al4V Alloys Manufactured by SLM Process
Mohsen Sarparast, Majid Shafaie, Mohammad Davoodi, Ahmad Memaran Babakan, Hongyan Zhang 18 68 340–356 2024 0.0
平均評価: 0.0 / 5 (0 件のレビュー)
Metastability, adiabatic shear bands initiation and plastic strain localization in the AMg6 alloy under dynamic loading
Mikhail Sokovikov, Sergey Uvarov, Mikhail Simonov, Vasiliy Chudinov, Oleg Naimark 18 68 255–266 2024 0.0
平均評価: 0.0 / 5 (0 件のレビュー)