Feasibility of a Knowledge-Based Engineering framework for the AEC industries

Maarten Mathot, Jeroen Coenders, Anke Rolvink

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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This paper presents the development of a novel computational framework with which expert analysis knowledge can be captured, stored and dynamically retrieved when required to determine the performance of a building design with respect to user-defined requirements. By subdividing the engineer's and designer's knowledge into discrete steps, and storing these steps in a database along with a description of the context in which the knowledge is to be applied, a searchable knowledge base is created. Given a context consisting of a BIM model and one or more building requirements for which metrics are to be provided, the applicable knowledge can be iteratively retrieved from the knowledge base. Through computational reasoning an analysis is acquired as a chain of logically connected analysis steps. Foreseen benefits of use of the framework include safekeeping and disclosure of AEC expert's knowledge and automation of analyses without loss of analysis transparency.
Original languageEnglish
Title of host publicationProceedings of tlie IASS Annual Symposium 2016
Subtitle of host publicationSpatial Structures in the 21st Century
EditorsK. Kawaguchi, M. Ohsaki, T. Takeuchi
Number of pages9
Publication statusPublished - 2016
EventIASS Annual Symposium 2016: Spatial Structures in the 21st Century - University of Tokyo, Tokyo, Japan
Duration: 26 Sep 201630 Sep 2016


ConferenceIASS Annual Symposium 2016
Abbreviated titleIASS2016
Internet address


  • computational analysis
  • knowledge-based engineering
  • requirements engineering
  • BIM
  • model checking
  • knowledge sharing


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