Buckling Analysis
Buckling Analysis (Linear & Non-Linear)
Buckling analysis is one of the many FEA structural analysis services we provide at our Singapore offices in BroadTech Engineering.
Featured Buckling Analysis Case Studies
Linear, Non-linear and Buckling Analysis of 46m MLC-70 Modular Bridge
Objective: weight optimization of nose modules. Software used: Abaqus 6.12, Hyper mesh. Method: The complete bridge assembly is divided into three parts, the launching system, the bridge module and the nose module. The system is already developed and is in use.
It was proposed to reduce the weight of the nose module. so the material was changed from DMR 1100 to DMR 1700, which is less dense and has higher yield strength. Also, the thickness of nose assembly was reduced wherever the stresses were low. five critical load cases were considered and the simulation was carried out. material nonlinearity, geometric nonlinearity, linear static and buckling analysis was carried out for all the five cases. The complete model was made using shell elements, the nose modules were connected to each other through coupling constraints
Conclusion: As a result of this FEA consulting project, a 14% of weight reduction was achieved.
Buckling Simulation Analysis of Structural Weak Beams
Objective: Improving load carrying capacity of a weak building beam is the target of the FEA analysis project.
Introducing FRP sheets and steel metal sheets are the design approach to improve the load carrying capacity of the target joint.
Numerical models are created and they are being analyzed till they begin to exhibit failure under buckling.
Outcome: A comparative conclusion of which support serves better was found and the optimal length and thickness of FRP or metal sheet for their effective use are proposed.
Nonlinear Buckling Analysis using Riks Algorithm
Objective: To study the post-buckling behavior of Bank seat Beam. Why riks algorithm: * Linear buckling analysis is an eigenvalue analysis and gives only the buckling factor as output, stresses, and displacement obtained is immaterial.
* Nonlinear buckling analysis uses conventional load increment method which would result in numerical instability, whenever there is a loss of stiffness and whenever there is a buckling there is a momentary loss of stiffness. which makes it impossible to view the post-buckling results.
*Riks algorithm: Riks algorithm, uses arc length method over the conventional load increment method also provides the ability to include imperfections. The bank seat beam was modeled and meshed in Abaqus 6.12. a linear buckling analysis was carried out to write all the nodal displacements using a
*node fil command. scaled values of these displacements were used as inputs in riks algorithm as imperfection. followed by a riks analysis was carried out.
Conclusion: Near perfect results were obtained closer to the original test results. also, load proportionality factor vs arc length curve was obtained as output.
Analysis of Buckling & Failure Behavior Due to Impact Damage
Objective: The objective was to study effects of impact damage on Buckling and failure behavior. The procedure used was FEM modeling the panel, establishing constraints and boundary conditions and loading the panel till collapse. The simulation was done in Geometric Non Linear analysis (NL Geom Off ) to enable onset of Buckling.
Two sets of panels ( Impacted and Pristine) were loaded in geometric non linearity till collapse. Made use of Eigen Value Buckling analysis to study buckling load. Effects of impact on Buckling mode shapes and buckling behaviour were studied successfully.
Buckling Analysis of Steel Truss Components
Simulation objective: Buckling analysis of steel truss components, as part of the Continuous collapse analysis of an existing Multi-purpose Hall).
Methodology: Using LS-DYNA to analyze the buckling mode and compressive capacity of truss component
Conclusion:
The structural collapse did not start from the truss buckling but started from the failure of the connection.
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