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Plan and Organize<br>Plan and organize project requirements, constraints, and timelines.<br>Creating a design brief with the scope of work, design objectives, and project constraints.<br>Define the modeling standards, naming conventions, and modeling hierarchy.
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TIPS FOR EFFICIENT BIM STRUCTURAL DESIGN
TIP 1 • Plan and Organize • Plan and organize project requirements, constraints, and timelines. • Creating a design brief with the scope of work, design objectives, and project constraints. • Define the modeling standards, naming conventions, and modeling hierarchy.
Tip 2 • Use the Right Software • Choose software that handles complex 3D structural modeling, analysis, and collaboration. • Select software that meets your project requirement and has a user friendly interface, robust modeling tools, and seamless integration with other software tools. • Best Structural BIM software are Autodesk Revit and Tekla
Tip 3 • Coordinate with Other Services • Detect clashes with architectural and structural services • Save errors during construction by resolving clashes with BIM coordination
Tip 4 • Automate Recitative Tasks • Automate the repetitive tasks by using scripts and plugins to save time and improve accuracy • Use software tools that can automatically generate Bill of Quantities, Quantity Take Offs, and cost estimates.
Tip 5 • Optimize Design for Efficiency and Sustainability • BIM structural design allows engineers to simulate and optimize the structure’s behavior for efficiency and sustainability. • Use simulation tools to identify potential design conflicts, improve structural performance, and optimize material usage. • Consider the environmental impact of the structural design for energy efficiency, water conservation, and waste reduction.
Tip 6 • Validate design with Analysis and Testing • BIM structural design involves the analysis and testing of the structural model to validate its behavior under different loads and conditions. • Use simulation tools to perform structural analysis, including seismic analysis. • Test the design against different scenarios and validate its performance using real-world data.
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