GRC : a schema for the analysis of the complexity of geometry-based rule checks

In order for a building to comply with the regulations and building code requirements, there is an increasing necessity for automatic rule checking. A significant proportion of those rules is geometry-based. To date, no generalisation for the implementation or classification of geometry-based rule checks has been established. This paper proposes a schema (GRC) to analyse a geometry-based rule check. GRC is based on taxonomies, which are used to categorise the complexity of the problem and the complexity of the solution. The implementation of the rule check is classified within predefined groups. This enables the evaluation of whether a rule checking implementation is suitable for the given problem or whether a simpler implementation is reasonable and sufficient. The schema also facilitates the comparison of differing rule checking implementations.

Publication Details

Journal
Strathprints: The University of Strathclyde institutional repository (University of Strathclyde)
Published
2025-01-01
DOI
https://doi.org/10.17868/strath.00093250
Primary Topic
Constraint Satisfaction and Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

GRC : a schema for the analysis of the complexity of geometry-based rule checks

Strathprints: The University of Strathclyde institutional repository (University of Strathclyde)
Constraint Satisfaction and Optimization
article

GRC : a schema for the analysis of the complexity of geometry-based rule checks

article en

Abstract

In order for a building to comply with the regulations and building code requirements, there is an increasing necessity for automatic rule checking. A significant proportion of those rules is geometry-based. To date, no generalisation for the implementation or classification of geometry-based rule checks has been established. This paper proposes a schema (GRC) to analyse a geometry-based rule check. GRC is based on taxonomies, which are used to categorise the complexity of the problem and the complexity of the solution. The implementation of the rule check is classified within predefined groups. This enables the evaluation of whether a rule checking implementation is suitable for the given problem or whether a simpler implementation is reasonable and sufficient. The schema also facilitates the comparison of differing rule checking implementations.

Strathprints: The University of Strathclyde institutional repository (University of Strathclyde)
Peace, Justice and strong institutions
Openalex Percentile: Top 47%
Constraint Satisfaction and Optimization
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