Abaqus Steel Column Validation

Job ID: 40365848

Budget: £750 – £1,500 GBP

I need the complete Abaqus recreation of the paper “Numerical Investigation of the Post-Fire Performance of Steel Columns,” followed by an extended parametric study. The first milestone is a strict numerical validation: every figure and every table published in the reference study must be reproduced in my own report, generated directly from your Abaqus output. That means matching residual capacity curves, temperature-dependent stress-strain responses, failure modes, and any tabulated ultimate load data within an acceptable engineering tolerance.

Once the benchmark model is confirmed, the second milestone broadens the scope into a parametric investigation. Two preliminary paths are on the table—(A) carbon-steel columns where geometry, slenderness λ, and applied axial load ratio vary independently, or (B) a stainless-steel set that isolates material effects under identical thermal actions. You are free to suggest an efficient sequence or even merge both paths if that achieves deeper insight without inflating runtime.

Abaqus is required; use user-defined material subroutines only if the built-in high-temperature steel models prove insufficient.

Deliverables
• Validated CAE/inp files and a concise verification report mirroring all reference figures & tables
• Parametric study model files with an organised spreadsheet or CSV of input variables and resulting metrics
• Technical report (Word or LaTeX) summarising methodology, assumptions, and key findings, including fresh plots for each parametric run
• Brief README explaining folder structure and how to rerun simulations

Acceptance criteria
• Graph-to-graph agreement with the reference study within ±5 % for ultimate load and critical temperature points
• Figures and tables numbered identically to the paper for side-by-side comparison
• Clean, rerunnable models with no suppressed parts, orphan meshes, or missing material definitions

If something is unclear in the paper (mesh density, boundary conditions, fire exposure curve), flag it early so we lock the modelling choices before heavy computation begins. I’m ready to supply the PDF and any supplementary data the journal provides.