TY - GEN
T1 - Utilizing Parametric Computational Modeling to Generate Masonry Wall System to Facilitate Robotic Task Creation
AU - McClymonds, Austin D.
AU - Asadi, Somayeh
AU - Leicht, Robert M.
N1 - Publisher Copyright:
© 2024 ASCE.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85188689687
UR - https://www.scopus.com/inward/citedby.url?scp=85188689687&partnerID=8YFLogxK
U2 - 10.1061/9780784485262.097
DO - 10.1061/9780784485262.097
M3 - Conference contribution
AN - SCOPUS:85188689687
T3 - Construction Research Congress 2024, CRC 2024
SP - 951
EP - 961
BT - Advanced Technologies, Automation, and Computer Applications in Construction
A2 - Shane, Jennifer S.
A2 - Madson, Katherine M.
A2 - Mo, Yunjeong
A2 - Poleacovschi, Cristina
A2 - Sturgill, Roy E.
PB - American Society of Civil Engineers (ASCE)
T2 - Construction Research Congress 2024, CRC 2024
Y2 - 20 March 2024 through 23 March 2024
ER -