BIM Clash Detection and Coordination Flashcards
6 cards from real Building Information Modeling practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.
Read the first 6 BIM Clash Detection and Coordination flashcards as text
What are the three main types of clashes detected in a BIM coordination process?
Answer: Hard clash, soft clash, and workflow clash
Hard clashes are physical intersections, soft clashes involve clearance violations, and workflow (or 4D) clashes involve scheduling conflicts in the construction sequence.
What is a 'clash report' in BIM coordination?
Answer: A document listing detected conflicts between model elements with location and severity data
A clash report generated by tools like Navisworks identifies each conflict, its location in the model, and classifies it by type and priority for resolution.
During a BIM coordination meeting, who is typically responsible for resolving a hard clash between structural steel and HVAC ductwork?
Answer: The MEP and structural engineers collaborate to reroute one system
Clash resolution requires collaboration between the affected disciplines — typically the MEP and structural teams agree on rerouting the conflicting system.
What is the 'tolerance' setting in Navisworks clash detection used for?
Answer: Defining the minimum distance between elements before a clash is flagged
The tolerance setting in Navisworks specifies the gap distance below which elements are flagged as clashing, allowing teams to set clearance requirements.
What does '4D BIM' add to a traditional 3D BIM model?
Answer: Construction scheduling and time simulation
4D BIM links model elements to a construction schedule, enabling teams to simulate and visualize the sequence of construction activities over time.
Which file format is most commonly used to federate models for clash detection in Navisworks?
Answer: .nwc / .nwd
Navisworks Cache (.nwc) and Navisworks Document (.nwd) files are the primary formats for aggregating discipline models into a federated model for clash detection.