Utilizing Parametric Computational Modeling to Generate Masonry Wall System to Facilitate Robotic Task Creation
Publication: Construction Research Congress 2024
ABSTRACT
Building information modeling (BIM) technology in construction has become increasingly prevalent in recent years, and integrating robotics is seen as a natural step to improve efficiency. To increase the level of development (LOD) of a BIM model to support a construction robot, parametric modeling can be used to create highly detailed models by supplementing and defining the geometric and physical properties of the construction elements, such as the components’ size, shape, and material parameters, which are used as inputs for designing robotic tasks. Component information and data are stored as extractable parameters within the BIM model, allowing a robot to perform highly precise and repeatable tasks. This study develops a framework for implementing computational parametric modeling for masonry wall systems with Dynamo. This study tested six wall configurations constructed of 8″ × 8″ × 16″ concrete masonry units (CMUs). Dynamo successfully interpreted most wall geometries placing full-sized CMUs into the correct design locations. Errors occurred when placing partial-sized CMUs, typically at wall intersections, revealing a need for future refinement. The study shows the careful planning and considerations needed to implement computational modeling to generate model content for creating robotic tasks.
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Information & Authors
Information
Published In
Construction Research Congress 2024
Pages: 951 - 961
History
Published online: Mar 18, 2024
ASCE Technical Topics:
- Architectural engineering
- Automation and robotics
- Building information modeling
- Building management
- Computer models
- Construction (by type)
- Construction engineering
- Engineering fundamentals
- Masonry
- Mathematics
- Models (by type)
- Parameters (statistics)
- Physical models
- Statistics
- Structural engineering
- Structural members
- Structural systems
- Systems engineering
- Walls
Authors
Metrics & Citations
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