bonsai-impl-clash

To run accurate clash detection in Bonsai, configure properly filtered clash sets using the IfcClash module and select the correct detection mode for intersection, collision, or clearance scenarios. This reduces false positives and wasted review time.

Intersection, collision, and clearance are detection modes in IFC clash detection that identify overlapping geometry, physical contacts, and spatial tolerances respectively. Selecting the correct mode with proper tolerance guidance reduces false positives.

Export BIM clash detection results to BCF directly from Bonsai to enable stakeholder issue tracking with optional snapshots. This workflow supports human review by outputting standardized coordination topics from IfcClash data.

Yes, IfcClash supports exporting clash detection results to JSON for programmatic review and machine parsing. You must configure an explicit output path to satisfy the batch engine requirements for JSON export.

IfcClash requires absolute IFC file paths and explicit output path configuration to satisfy its batch engine requirements. Pre-save-to-disk validation and proper bonsai.* module usage ensure safe operational assumptions during clash detection.

The best way to manage large clash detection result sets is using smart grouping during IfcClash configuration. This reduces review noise by clustering related clashes, making triage faster and more reliable.