Filtern
Erscheinungsjahr
Dokumenttyp
- Vortrag (56)
- Beitrag zu einem Sammelband (27)
- Beitrag zu einem Tagungsband (24)
- Zeitschriftenartikel (5)
- Forschungsbericht (4)
- Posterpräsentation (3)
- Buchkapitel (2)
- Sonstiges (1)
Referierte Publikation
- nein (122) (entfernen)
Schlagworte
- Non-destructive testing (9)
- Monitoring (8)
- Condition assessment (5)
- NDT (5)
- Nondestructive testing (5)
- Active thermography (4)
- Inspection (4)
- Non-Destructive Testing (4)
- Ontology (4)
- Zerstörungsfreie Prüfung (4)
Organisationseinheit der BAM
Eingeladener Vortrag
- nein (56)
The reliability of data, obtained from nondestructive testing depends on many different factors as e.g. the equipment, the human factor, the influence of material properties, geometrical accessibility of the given detail, the structure of the detail, but also from data acquisition, processing and interpretation. The presentation introduces to current possibilities for the quantification of measurement results received during nondestructive testing.
The amount of new knowledge about bridges, about the materials they are made of, deterioration processes for the different materials, typical defects, methods for early detection of them and related causes for damage increases day by day. Often the knowledge remains in the heads of ageing specialists leaving the inspection teams or universities. This paper presents a feasibility study about application of a new tool from artificial in-telligence, ontology, for modeling and organizing bridge engineering knowledge from a domain expert´s view. Exemplarily, knowledge and not only data from bridge testing in the field and in the laboratory were formalized for the presentation of the functionality of ontologies. The open source ontology editor Protégé was ap-plied to test the feasibility.
The amount of new knowledge about bridges, about the materials they are made of, deterioration processes for the different materials, typical defects, methods for early detection of them and related causes for damage increases day by day. Often the knowledge remains in the heads of ageing specialists leaving the inspection teams or universities. This paper presents a feasibility study about application of a new tool from artificial in-telligence, ontology, for modeling and organizing bridge engineering knowledge from a domain expert´s view. Exemplarily, knowledge and not only data from bridge testing in the field and in the laboratory were formalized for the presentation of the functionality of ontologies. The open source ontology editor Protégé was ap-plied to test the feasibility.
Structural health monitoring contributes to early damage detection in the built infrastructure. During the last two decades, the sensor networks transferred from wired to wireless sensor networks.
Several methods exist to measure moisture in building materials. Most of the introduced commercial humidity measurement methods as provide information about the local or near surface moisture. A feasibility study is presented to demonstrate, how the Received Signal Strength Indicator (RSSI) of a BlueTooth® Low Energy (BLE) signal, transmitted from the BLE-module embedded in building materials with changing moisture content. The BLE-module communicates with a mobile Smart Device as tablet or mobile phone. The RSSI indicates to what extend the received signal strength is changed due to moisture, while the transmitted signal strength remains constant.
Cast iron arch bridges were built in the late 18th and early 19th century across Europe. After the famous Iron Bridge in the Ironbridge Gorge in Coalbrookdale in England, being now part of the UNESCO world heritage, many cast iron bridges followed and substituted timber bridges. A series of cast iron bridges has been built in central Europe, in Laasan, Breslau, (now Wrocław), in Berlin, Potsdam, Bad Muskau and Schwerin. The paper gives an overview about the current state of some remaining cast iron arch bridges, typical damage cases, material properties and rehabilitation. Most of the old cast iron arch bridges serve as pedestrian bridges. Some of these bridges have been strengthened to increase the traffic load. Different rehabilitation measures as substitution of parts of the bridges and strengthening using Carbon Reinforced Polymers (CFRP) are discussed.
Brücken zählen einerseits zu den ältesten Zeugnissen der Verkehrsgeschichte und sind andererseits ein wichtiger Bestandteil der Verkehrsinfrastruktur für unsere heutige Gesellschaft. Sie erfüllen eine wichtige Funktion bei Transport von Personen und Gütern und prägen das Stadtbild. Die Berliner Hoch- und Untergrundbahn, eröffnet im Februar 1902 nach 5 1/2 –jähriger Bauzeit, ist in der heutigen Berliner Denkmalliste als Denkmalbereich (Gesamtanlage) geschützt. Bereits seit 1980 waren die historischen Bahnhöfe entlang der Stammstrecke als Baudenkmale gelistet.
An der Stahlkonstruktion der Hochbahnviadukte zwischen Halleschem Tor und Prinzenstraße wurden während regulärer Inspektionen in den 1990ziger Jahren Risse dokumentiert. Die Berliner Verkehrsbetriebe (BVG) bezogen die Bundesanstalt für Materialforschung und –prüfung (BAM) sowie Ingenieurbüros in eine Diskussion über die optimale Lösung zur Sanie-rung und zum Erhalt der Hochbahnviadukte ein. Zahlreiche Versuche im Labor und Messungen vor Ort dienten der Optimierung der bevorzugten Sanierungsvariante. Die BVG für eine Lösung mit relativ geringem Eingriff in die Konstruktion. Das äußere Erscheinungsbild der Hochbahnviadukte im Berliner Stadtbild konnte durch die Sanierungsvariante der BVG erhalten werden.
Bridges represent a crucial part of traffic infrastructure networks for both, freight transport and transport of people. None the less, sometimes it is not easy for infrastructure owners to manage or extract data and knowledge of interest about specific bridges from bridge management systems, e.g. along a line. In case of search for a special material parameter or for a recent strengthening measure, the selection of the wanted information may be time consuming. The search process depends on the complexity of the selected issue.
The paper presents the applicability of ontologies, a new tool from artificial intelligence transferred to bridge engineering issues. Current modern ontologies consider the rules from the World Wide Web consortium (W3C), use a defined Web Ontology Language (OWL) and the Dublin Core Metadata Initiative (DCMI®) to describe the members of a domain and the relations between them in a machine readable manor. Any information, data as well as text information is broken down to a simple triple (RDF) in a subject- predicate- object relation to organize the link between them. Advantage over any type of data base is processibility due to the use of restrictions and axioms. Visualization plug-ins, as OntoGraph or GraphViz, can visualize the structure of the ontology or parts of it and the described relations.
In the recent years, ontology editors like e.g. Protégé, were developed to enable domain experts to structure a specific domain. The editor is still under development. None the less, the study shows exemplarily, how an ontology for riveted steel bridges could consider results from testing in the laboratory and in the field. Besides typical materials, typical damage processes defects and structures, applicable methods are formalized, classified and described. Queries using e.g. DL-Query may address tasks of interest and extract it from the ontology.
Active Thermography
(2016)
Active thermography is a nondestructive testing method for identification of near surface defects and signs of early deterioration. The presentation explains the potential and Limits of the method and the equipment for application to concrete structures. Advanced data analysis can increase the quality of imaging of the measurement. The method is usually applied once for analysis of the current condition. If applied periodically, the method can be used for observation of a deterioration process.
The amount of new knowledge about bridges, materials they are made of, deterioration processes for the different materials, resulting defects, methods for early detection of them and related causes for damage increases day by day. Often the knowledge remains in the heads of ageing specialists leaving the inspection teams or universities. This paper presents a feasibility study about application of a new tool from artificial intelligence to model and organize bridge engineering knowledge from a domain expert´s view. Exemplarily, knowledge and not only data from bridge testing in the field and in the laboratory were formalized for the presentation of the functionality of ontologies.