Knowledge practices for Revit and Rhino: Manual schematic modeling of existing buildings

This paper examines knowledge implications of digitally modeling existing buildings through a comparative analysis of modeling practices in Revit and Rhino. The paper introduces the concept of Manual Schematic Modeling (MSM), an approach distinct from conventional highly-detailed, semantically-enriched parametric modeling. Through an MSM case study, software-specific decisions are shown to uniquely inform architectural knowledge production. Results suggest that the use of multiple epistemological frameworks, i. e., digital modeling software platforms, can inform architectural knowledge production even if these frameworks appear to be mutually incommensurable. This work challenges the presumed value of a single, comprehensive digital model and argues for the value of diverse modeling approaches for existing buildings.

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Publication Details

Journal
International Journal of Architectural Computing
Published
2025-12-03
DOI
https://doi.org/10.1177/14780771251405441
Primary Topic
Architecture and Computational Design
Type
article
Field-Weighted Citation Impact
0.00
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article

Knowledge practices for Revit and Rhino: Manual schematic modeling of existing buildings

Mike Christenson
International Journal of Architectural Computing
Architecture and Computational Design
article

Knowledge practices for Revit and Rhino: Manual schematic modeling of existing buildings

Mike Christenson
article en

Abstract

This paper examines knowledge implications of digitally modeling existing buildings through a comparative analysis of modeling practices in Revit and Rhino. The paper introduces the concept of Manual Schematic Modeling (MSM), an approach distinct from conventional highly-detailed, semantically-enriched parametric modeling. Through an MSM case study, software-specific decisions are shown to uniquely inform architectural knowledge production. Results suggest that the use of multiple epistemological frameworks, i. e., digital modeling software platforms, can inform architectural knowledge production even if these frameworks appear to be mutually incommensurable. This work challenges the presumed value of a single, comprehensive digital model and argues for the value of diverse modeling approaches for existing buildings.

International Journal of Architectural Computing
University of Minnesota (US), Twin Cities Orthopedics (US)
Openalex Percentile: Top 62%
Architecture and Computational Design
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