ABAQUS Creep-Validated Beam Model
Budget: $250 – $750 USD
I have two full-scale test specimens, each formed by joining a pair of reinforced-concrete beams with bolted connections. My goal is to replicate these assemblies in ABAQUS, capture their long-term creep behaviour, validate every response against my complete experimental database, and then run a focused parametric study.
Scope of work
• Build a detailed 3-D FE model of the twin-beam system in ABAQUS, including concrete damaged plasticity, embedded reinforcement, bolt shank–plate interaction, and a suitable creep law.
• Calibrate and fine-tune the model until the load–deflection, slip, and strain histories match the laboratory results for both specimens.
• Once the model is proven, investigate how performance shifts when (a) bolt diameter and layout change, (b) concrete or steel material properties vary, and (c) the grout layer thickness between beams is altered.
• Supply all input files, a concise validation report, and clearly labelled plots for each parametric run so I can reproduce or extend the study later.
Acceptance
I will consider the task complete when the calibrated model predicts key response metrics within roughly 10 % of the test data and the requested parametric trends are delivered in a clean, organised package of .cae/.inp files and supporting graphs.
Scope of work
• Build a detailed 3-D FE model of the twin-beam system in ABAQUS, including concrete damaged plasticity, embedded reinforcement, bolt shank–plate interaction, and a suitable creep law.
• Calibrate and fine-tune the model until the load–deflection, slip, and strain histories match the laboratory results for both specimens.
• Once the model is proven, investigate how performance shifts when (a) bolt diameter and layout change, (b) concrete or steel material properties vary, and (c) the grout layer thickness between beams is altered.
• Supply all input files, a concise validation report, and clearly labelled plots for each parametric run so I can reproduce or extend the study later.
Acceptance
I will consider the task complete when the calibrated model predicts key response metrics within roughly 10 % of the test data and the requested parametric trends are delivered in a clean, organised package of .cae/.inp files and supporting graphs.