The aim of this paper is the implementation of a methodological workflow for the diagnosis of masonry settlings, within the HBIM approach, developing a rule-based logical inference tool in Visual Programming Language. The rule-based inferencing diagnosis is a guided process, which increases the confidence factor about settlings and actual causes, on the basis of surveyors’ technical insights and evidences. The final step is the suggestion of appropriate interventions. The results show that inference logic is directly applicable to the diagnosis problem; their efficacy depends on i) the structured parametric and data modelling of decay patterns in the HBIM model and ii) the knowledge base training. The application has been validated on a case study, Masseria Don Cataldo (Bari, South Italy).

Rule-based inferencing diagnosis in HBIM

Silvana Bruno
;
Antonella Musicco;Rosella Alessia Galantucci;Fabio Fatiguso
2020-01-01

Abstract

The aim of this paper is the implementation of a methodological workflow for the diagnosis of masonry settlings, within the HBIM approach, developing a rule-based logical inference tool in Visual Programming Language. The rule-based inferencing diagnosis is a guided process, which increases the confidence factor about settlings and actual causes, on the basis of surveyors’ technical insights and evidences. The final step is the suggestion of appropriate interventions. The results show that inference logic is directly applicable to the diagnosis problem; their efficacy depends on i) the structured parametric and data modelling of decay patterns in the HBIM model and ii) the knowledge base training. The application has been validated on a case study, Masseria Don Cataldo (Bari, South Italy).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/215483
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