While constructibility is an accepted industry project management concept, its value can be undermined by poor construction documentation. Constructible data addresses this by moving beyond visualization to address doubt and put BIM into production. Constructible models contain the data and accuracy needed to build, create predictable plans and drive downstream efficiencies in the field and factory. They enable prefabrication, off-site fabrication, supply chain optimization and jobsite automation.
Traditionally, building designs weren’t finished before construction. Many of the decisions about how to do things were left to the last minute. And even today, most buildings aren’t designed down to the last detail. However, technology is available today that makes this possible and puts constructible models within reach so that project stakeholders can start modeling at a constructible level earlier in the process.
With the solutions available, it should be common practice to create, share and use high-precision, construction-ready models to leverage the full potential of BIM for planning, fabrication, construction and operation. But how?
It all begins with data. Starting early in the project life cycle, use efabrication quality data along with construction quantities and historical data to optimize project delivery. It’s important to understand the role that data plays in producing a constructible model.
Data is the key to creating, sharing and using constructible models. Moving beyond BIM into true constructibility requires an understanding of level of development (LOD) and what makes a model constructible.
LOD was published by the American Institute of Architects in 2009 and then further developed by the Associated General Contractors of America, which has been steadily expanding the definition. It refers to the reliability of the model and is the degree to which an element’s geometry and attached (non-graphic) information, such as manufacturer-specific properties, have been thought through.
The different LODs are defined as:
One of the greatest challenges facing every construction project is uncertainty. When a model lacks a crucial bit of data, or the measurements or placement information is even slightly ambiguous, it introduces doubt among project stakeholders. No one wants to risk making a costly mistake under these circumstances, so doubt drives requests for information back to the engineers or detailers, which cost time, energy and money to address. In turn, this leads to bottlenecks in the project timeline, budget overruns and loss of profit margin. On the other hand, if fabricators and contractors move ahead without questioning the model, costly rework and other waste can lead to the same results.
Constructible models can address these challenges. The higher the LOD of each component modeled, the more every project stakeholder can rely on it. The most value is in a component that is modeled to the highest level of development that’s both possible and practical. That value is realized by:
Every bit of data that is incorporated into a model is another step closer to optimal speed, efficiency, accuracy and profitability. Data-rich models drive smarter, content-enabled workflows and are the heart of a truly constructible process in which all phases and trades are connected. Producing constructible models early in the process and building on them throughout the project life cycle is not only possible today, it’s practical.
Written by {{author.AuthorName}} - {{author.AuthorPosition}}, {{author.Company}} {{author.Company}} Contact Info: {{author.OfficePhone}} , {{author.EmailAddress}}
{{comment.Text}}