scholarly journals Deformation of polyurea-coated steel plates under localised blast loading

2013 ◽  
Vol 51 ◽  
pp. 13-22 ◽  
Author(s):  
Kathryn Ackland ◽  
Christopher Anderson ◽  
Tuan Duc Ngo
Keyword(s):  
Blast Loading ◽  
Steel Plates ◽  
Coated Steel

scholarly journals Corrosion Behavior of Coated Steel Plates with Defects Exposed to Marine Environment

2009 ◽  
Vol 58 (5) ◽  
pp. 437-442 ◽  
Author(s):  
Marish MADLANGBAYAN ◽  
Nobuaki OTSUKI ◽  
Tsuyoshi SAITO ◽  
Aung Kyaw MIN
Keyword(s):  
Corrosion Behavior ◽  
Marine Environment ◽  
Steel Plates ◽  
Coated Steel

Steel Plate Behavior under Blast Loading-Numerical Approach Using LS-DYNA

2016 ◽  
Vol 842 ◽  
pp. 200-207 ◽  
Author(s):  
Vu Minh Thanh ◽  
Sigit P. Santosa ◽  
Djarot Widagdo ◽  
Ichsan Setya Putra
Keyword(s):  
Blast Resistance ◽  
Blast Loading ◽  
Numerical Approach ◽  
Coupling Method ◽  
Steel Plates ◽  
Computational Time ◽  
Arbitrary Lagrangian Eulerian ◽  
Ale Method ◽  
Wide Range ◽  
Coupling Algorithm

Plate is one of the most common structural elements, which appears in a wide range of applications: steel bridges, blast-resistance door, and armored vehicles. In this paper, the behavior of steel plates under blast loading was studied through numerical approaches using LS DYNA and then the results were compared with the experiment results obtained from existing literatures. The study of a clamped square plate exposed to blast loading in three distinct stand-off distances. Three different methods of modeling blast loading were used, namely: empirical blast method, arbitrary Lagrangian Eulerian (ALE) method, and coupling of Lagrangian and Eulerian method. The empirical blast method was deployed by using key card *LOAD_BLAST in LS-DYNA. In ALE method, Langrangian and Eulerian solution were combined in the same model and the fluid-structure interaction (FSI) handled by coupling algorithm. In coupling method, the engineering load blast in LS-DYNA (*LOAD_BLAST_ENHANCED) was coupled with the ALE solver. In terms of central deflection and computational time, the coupling method appeared to be the best method which is very time-effective and showed a good correlation with the experiment data.

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