Today, I would like to discuss BIM knowledge, focusing on parameterization in BIM. Domain knowledge, or specialized expertise in a particular field, often involves a wide range of complexities. In architecture, engineering, and construction (AEC), these rules are based on material and manufacturing properties, safety factors, existing production equipment, good design practices, aesthetics, derived guidelines, construction sequences, and non-geometric properties of building elements. Many, though not all, of these are represented through geometric shapes and integrated into the final architectural design. When domain knowledge is interpreted through geometric forms, it can be embedded into parameterized simulation systems using geometric rules or constraints.
Intelligent CAD systems are capable of generating consistent and effective information that can interact with other systems, making them a central driver of building information simulation. It is anticipated that individual companies will incorporate such systems into their professional knowledge base or intellectual property.
However, parametric simulation remains both challenging and limited. First, it is difficult to capture implicit knowledge and clearly define relationships that can be understood through geometry or other systems, such as formulas expressed numerically or through specific declarative expressions. Additionally, as design and engineering processes become increasingly automated, the risk of propagating errors grows. A parameterized simulation system demands careful engineering judgment, clear input requirements, and defined responsibilities for verifying outputs, alongside a well-established methodology. Another challenge is the significant performance degradation that occurs when a large number of parameters and geometric constraints are added to a model.
Since parameterized simulation allows anyone to develop and add parameterized objects to a model or system, it is crucial to establish a common method for describing design intent. This enables sharing and reusing user-defined parameterized objects consistently, especially among collaborators. Although no solution can completely resolve all issues related to parameterized simulation, these problems can be mitigated to some extent through a clear roadmap and a gradual process. This approach helps transform design and engineering knowledge into explicit geometric rules, which can then be embedded within the simulation process of their systems.
Advanced parametric simulation systems are likely to play an increasingly important role in BIM. Clear communication and collaboration among domain experts, consultants, and software developers are essential for the successful development of any advanced parametric simulation system. That wraps up today’s BIM insight on parameterization in BIM. See you in the next issue.
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