Specifying cladding attachment systems

Course Number  SFS001

LU   1 LU/Elective

Category/Sub-category Building systems, materials, & assemblies

Expiration 04/26/2025 

With increasing requirements for the building enclosure in energy codes, many building projects are moving towards using exterior insulated building assemblies. Exterior insulated systems allow for increased thermal performance but much of that depends on the design of the exterior cladding attachment system. There are a wide variety of secondary structural attachment systems in the North American market competing to provide better thermal performance, which can overwhelm designers when comparing them for use on projects.

While direct comparisons of components ("clip to clip") may show two systems to be equivalent, it is not until additional project requirements are compared that significant differences in performance can arise. These additional requirements include structural considerations, like wind and dead loads, which dictate the spacing of components, combustibility restrictions on components, and installation flexibility. The perceived advantages in performance from one system over another may not actually turn into tangible benefits once these other design requirements on the project are also satisfied.

The intent of the presentation will be to provide the necessary background information, methodologies and available resources to guide designers in making informed decisions for selecting the right cladding attachment systems for their projects.

Learning objective 1

Understand market factors driving envelope designs towards greater thermal performance

Learning objective 2

Identify differences in the design approach for typical cladding attachment systems and how to appropriately compare them

Learning objective 3

Understand the impacts structural requirements have on the thermal performance of the system and need for a performance-based approach

Learning objective 4

Increase awareness of tools and processes that make it easier to evaluate large data sets and enable early-on design decisions to be informed by data 
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