IRAS 25
IRAS 25
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Paper-Conference
A adaptive Kriging-assisted first order reliability method for efficient and accurate reliability analysis
Structural reliability analysis is essential for ensuring the safe and dependable operation of engineering equipment. Delivering both …
Shiyuan Yang
,
Debiao Meng
,
Abílio M. P. De Jesus
,
Hengfei Yang
,
Shun-Peng Zhu
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A damage-tolerant design framework for total fatigue life prediction applied to thin-walled and cold-formed mild steel structures
Carlos Souto
,
Marco Parente
,
José Correia
,
Abílio De Jesus
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A Hybrid Modeling-Based Reliability Optimization Method for Complex Engineering Structures
Reliability-based optimization design plays a crucial role in enhancing the safety, economic efficiency, and sustainability of …
Debiao Meng
,
Hengfei Yang
,
Shiyuan Yang
,
Abílio M. P. De Jesus
,
Shun-Peng Zhu
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Air Blast TNT Equivalence for Explosive With and Without Aluminium Powder
The addition of aluminum powder to the explosive reduces the maximum value of the pressure impulse while significantly increasing the …
Maciej Grudnik
,
Paweł Krysiński
,
Jakub Polkowski
,
Marcin Konarzewski
,
Robert Panowicz
,
Józef Paszula
,
Leszek Szymańczyk
,
Marcin Hara
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Analysis of Damage in Glass and Carbon Reinforced Epoxy Composites Utilizing Acoustic Emission
Michał Smolnicki
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Analysis of Energy Dissipation in Multilayer Composite Structures Under Extreme Conditions
Study compares the energy absorption of a glass fiber-reinforced composite and a basalt fiber-reinforced composite modified with cast …
Jakub Hanszke
,
Maciej Roszak
,
Dariusz Pyka
,
Krzysztof Jamroziak
,
Miroslaw Bocian
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Analysis of fatigue resistance of titanium alloy produced by Electron Beam Powder Bed Fusion
Szymon Dziuba
,
Marcin Madeja
,
Michał Karoluk
,
Patrycja Szymczyk-Ziółkowska
,
Grzegorz Lesiuk
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Analysis of the Impact of Loading Modality on the Structural Integrity of HMS-Type Safety Connectors
Agnieszka Szust
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Application for Predition of Crack Path and Fracture Parameters in CTS Specimens Under Mixed-Mode I+II
Michał Smolnicki
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Application of Artificial Intelligence Methods to the Analysis of Failure Problems in Reservoir Dams
Artificial intelligence (AI) has enormous potential in the field of structural failure, particularly for predicting, detecting and …
Mohamed Essaddik Kerkar
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