Previous studies have primarily focused on converting point clouds(PC)into a dense mech of 3Dfinite element models,neglecting the conversion of PCs into as-built wireframe models with two-node elements for line elemen...Previous studies have primarily focused on converting point clouds(PC)into a dense mech of 3Dfinite element models,neglecting the conversion of PCs into as-built wireframe models with two-node elements for line elements such as beams and columns.This study aims to demonstrate the feasibility of this direct conversion,utilizing building framing patterns to create wireframe models.The study also integrates the OpenSeesPy package for modal analysis and double integration for bending estimation to demonstrate the application of the presented method in robotic inspection.Results indicate the successful conversion of a 4-story mass timber building PC to a 3D structural model with an average error of 7.5%under simplified assumptions.Further,two complex mass timber shed PCs were tested,resulting in detailed wireframe models.According to resource monitoring,our method can process∼593points/second,mostly affected by the number of neighbors used in thefirst stage of sparse points removal.Lastly,our method detects beams,columns,ceilings(floors),and walls with their directions.This research can facilitate various structural modeling directly based on PC data for digital twinning and autonomous robotic inspection.展开更多
文摘Previous studies have primarily focused on converting point clouds(PC)into a dense mech of 3Dfinite element models,neglecting the conversion of PCs into as-built wireframe models with two-node elements for line elements such as beams and columns.This study aims to demonstrate the feasibility of this direct conversion,utilizing building framing patterns to create wireframe models.The study also integrates the OpenSeesPy package for modal analysis and double integration for bending estimation to demonstrate the application of the presented method in robotic inspection.Results indicate the successful conversion of a 4-story mass timber building PC to a 3D structural model with an average error of 7.5%under simplified assumptions.Further,two complex mass timber shed PCs were tested,resulting in detailed wireframe models.According to resource monitoring,our method can process∼593points/second,mostly affected by the number of neighbors used in thefirst stage of sparse points removal.Lastly,our method detects beams,columns,ceilings(floors),and walls with their directions.This research can facilitate various structural modeling directly based on PC data for digital twinning and autonomous robotic inspection.
