Ontology based anamnesis and diagnosis of natural stone damage for retrofitting
Al-Hakam Hamdan, Peter Katranuschkov, Raimar J. Scherer
Abstract
During the inspection and assessment of existing buildings, a large portion of the recorded data is stored in documents or models that are not computer interpretable. Managing this data digitally is a complex process because the evaluation of the building components and the affecting structural damages involves a significant amount of manual tasks that can be error-prone and time consuming. Therefore, a knowledge-based approach has been developed, which utilizes web ontologies to store building and damage information in a semantic representation and processes them in an automated assessment via predefined rulesets. The concept is specified and applied for structures made of natural stone and is specifically tested and verified on the common case of a damaged façade. A newly developed software platform is presented, which provides functions for managing and evaluating a damage ontology as well as linking damage information with a geometry-based BIM model by utilizing an Information Container for linked Document Delivery (ICDD) according to ISO 21597-1 and adapting a general-purpose BIMification approach for retrofitting.