Back to Wiki

[69] Topological BIM for Building Performance

Topology / Graph Data Infrastructure Topology & Graph Data Infrastructure 2024

Paper Description extracted from PDF · abstract · 144 words

Despite the recognized benefits of Building Information Modeling (BIM) and Building Performance Simulation (BPS), these procedures are often time- and resource-intensive, posing significant barriers to adoption in building management. While significant advancements have been made in automating BIM generation using scanning technologies, these applications often yield geometrically complex, product-oriented, and semantic-poor models, often incompatible with BPS tools, which are instead space-oriented. This paper introduces a semi-automated method for generating space-oriented BIM models tailored for BPS. The process utilizes topological and condi tional modeling principles to create semantically defined, and information-rich models suitable for simulation environments called Topological BIM (TBIM). This method ensures semantic standardization, rapid digitization, and high interoperability, facilitating progressive data enrichment for building digital models. In the paper, a case study of a higher education building is presented to demonstrate the approach and validate a toolkit developed for delivering the TBIM models.

AuthorsMassafra, A.; Jabi, W.; Gulli, R.
Year2024
VenueAutomation in Construction 166, 105628
DOI10.1016/j.autcon.2024.105628
Source DatabaseBacktracking
Bridge-to-GNNCategory B
GNN ArchitectureGNN (heuristic — verify)
Graph EncodingBIM Element Topology Graph (inferred from title)
AEC TaskNot yet extracted from PDF
CohortMature Applications (2024–2026)

Extracted Methodology heuristic — verify before citing

Implementation FrameworkTopologic, Grasshopper / Rhino, Revit / Dynamo (heuristic — verify)
Key Findingsemi-automated method for generating space-oriented BIM models tailored for BPS (heuristic — verify)
Quality Assessment2/6 · rigor: Low ·
Code/Data: ✓Baseline: ✓ (heuristic — verify)

Detected Technical Stack auto-detected from PDF · regex catalogue match

GNN architectures detectedKnowledge Graph Embedding (TransE/RotatE/DistMult)
Frameworks / librariesTopologic / Topologicpy · Grasshopper / Rhino · Revit / Dynamo · EnergyPlus · Ladybug / Honeybee · RDF / OWL / SPARQL
Code repositories found in texthttps://github.com/angelomassafra/TBIM · https://github.com/eirannejad/PyRevit
Quality (heuristic, 6-flag)1/6 · rigor: Low
Code/Data: ✓Benchmark: —Baseline: —CV/Split: —Ablation: —Reproducible: —

Lineage Families

topology-infrastructure energy-digital-twin

Enabled By / Precursors

[2]

Extended By

[59]

Infrastructure Dependencies

IFC BIM Topologic (auto-suggested) Topologic / Topologicpy (detected from PDF) Grasshopper / Rhino (detected from PDF) Revit / Dynamo (detected from PDF) EnergyPlus (detected from PDF) Ladybug / Honeybee (detected from PDF) RDF / OWL / SPARQL (detected from PDF)

Research Frontier Tags

bim-graph topology

Part of the GML/GNN in AEC Systematic Review (PRISMA 2020) — 112 papers, 2020–2026