TY - JOUR A1 - Bartholmai, Matthias A1 - Werner, Klaus-Dieter A1 - Kammermeier, Michael A1 - Köppe, Enrico T1 - Erprobung eines Messsystems mit Datenbus und dezentraler Datenspeicherung für den Einsatz bei Fallprüfungen N2 - Zur Untersuchung der Sicherheit von Behältern für den Transport und die Lagerung von Gefahrstoffen und -gütern werden Fallprüfungen durchgeführt. Die Aufpralldynamik und die strukturmechanischen Einwirkungen auf den Behälter werden mittels Beschleunigungsaufnehmern und Dehnungsmessstreifen erfasst. Dabei kommen derzeit Vielkanalmesssysteme zum Einsatz, die eine Verkabelung jeder einzelnen Messstelle und somit das Mitfallen eines Kabelbaums erfordern, wodurch Probleme bei der Versuchsvorbereitung und Durchführung entstehen. Die Verwendung eines Messsystems mit Datenbus und dezentraler Datenspeicherung bietet diesbezüglich einen vielversprechenden Lösungsansatz. KW - Vielkanalmesssystem KW - Datenbus KW - Gefahrstoffe KW - Behälter KW - Fallprüfung KW - Hopkinsonstab KW - Multichannel measuring system KW - Data bus KW - Dangerous goods KW - Container KW - Drop test KW - Hopkinson bar PY - 2009 DO - https://doi.org/10.1524/teme.2009.0945 SN - 0340-837X SN - 0178-2312 SN - 0171-8096 VL - 76 IS - 10 SP - 447 EP - 454 PB - Oldenbourg CY - München AN - OPUS4-20284 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Bartholmai, Matthias A1 - Köppe, Enrico A1 - Prager, Jens ED - Boller, C. T1 - Early damage detection of structural defects using guided waves N2 - Limited access to the object of relevance is often an essential problem in testing routines, e.g. for non-destructive testing of industry facilities or components of means of transportation. The presented project is about the development of a non-destructive testing method for application over great distances (up to 100 m). The method is based on directed excitation and measuring of Lamb waves (guided waves). It enables an effective differentiation of structural and defective indications as well as a classification of different defect types. The advantage of guided waves is the ability of propagation over great distances. This offers innovative possibilities for the investigation of large or difficult to access constructions. The testing method can be helpful in a broad variety of applications. It is useable for the characterization of plane or cylindrical, thin-walled surfaces of metal or fiber laminated materials. Particularly the investigation of aircraft wings and other aerospace components as well as the investigation of pipelines are addressed fields of application. T2 - EWSHM'12 - 6th European workshop on structural health monitoring 2012 CY - Dresden, Germany DA - 03.07.2012 KW - Lamb-waves KW - Ultrasound KW - Non-destructive evaluation KW - Early-damage-detection KW - Structural health monitoring PY - 2012 SN - 978-3-940283-41-2 VL - 2 SP - 1471 EP - 1478 CY - Berlin AN - OPUS4-26240 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Bartholmai, Matthias A1 - Köppe, Enrico A1 - Neumann, Patrick P. T1 - Monitoring of hazardous scenarios using multi-sensor devices T2 - Sensordevices 2013 - The 4th International conference on sensor device technologies and applications CY - Barcelona, Spain DA - 2013-08-25 KW - Multi-sensor device KW - Hazardous scenarios KW - Data-fusion PY - 2013 SN - 978-1-61208-297-4 SP - 9 EP - 13 AN - OPUS4-29069 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Bartholmai, Matthias A1 - Köppe, Enrico A1 - Neumann, Patrick P. T1 - Monitoring of hazardous scenarios using multi-sensor devices and sensor data fusion N2 - The combination of different types of sensors to multi-sensor devices offers excellent potential for monitoring applications. This should be demonstrated by means of four different examples of actual developments carried out by Federal Institute for Materials Research and Testing (BAM): monitoring and indoor localization of relief forces, a micro-drone for gas measurement in hazardous scenarios, sensor-enabled radio-frequency identification (RFID) tags for safeguard of dangerous goods, and a multifunctional sensor for spatially resolved under-surface monitoring of gas storage areas. Objective of the presented projects is to increase the personal and technical safety in hazardous scenarios. These examples should point to application specific challenges for the applied components and infrastructure, and it should emphasize the potential of multi-sensor systems and sensor data fusion. KW - Monitoring KW - Multi-sensor KW - Hazardous scenarios KW - Data fusion PY - 2014 UR - http://www.iariajournals.org/systems_and_measurements/sysmea_v7_n34_2014_paged.pdf SN - 1942-261x VL - 7 IS - 3/4 SP - 193 EP - 200 PB - IARIA CY - [S.l.] AN - OPUS4-32509 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - GEN A1 - Bartholmai, Matthias A1 - Köppe, Enrico A1 - Kammermeier, Michael A1 - Werner, Klaus-Dieter A1 - Homfeld, S.D. T1 - Funkbasiertes Sensornetzwerk zur Schadensfrüherkennung an Bauwerken T2 - Wireless Automation : funkgestützte Kommunikation in der industriellen Automatisierungstechnik ; Tagung Berlin CY - Berlin, Deutschland DA - 2008-02-28 KW - Funksensorik KW - Sensornetzwerk KW - Schadensfrüherkennung KW - Strukturüberwachung PY - 2008 SN - 978-3-18-092010-8 SN - 0083-5560 N1 - Serientitel: VDI-Berichte – Series title: VDI-Berichte IS - 2010 SP - 117 EP - 125 PB - VDI-Verl. CY - Düsseldorf AN - OPUS4-17137 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Bartholmai, Matthias A1 - Köppe, Enrico ED - Urs Meier, ED - Bernadette Havranek, ED - Masoud Motavalli, T1 - Wireless sensor network for long-term structural health monitoring of buildings and infrastructures N2 - Damage commonly occurs in buildings when a component fails suddenly with a partial or total collapse as a consequence. This type of event leads to serious damage to property and if it is a bridge or a large hall, then people in particular are at risk. The often great age of bridges and the increasing volume of traffic (particularly heavy traffic) which they are expected to carry are in clear contradiction to each other. Thus the probability increases that the loadbearing capacity of a bridge decreases rapidly and often unnoticed with sometimes dire consequences. In order to prevent such accidents, the Federal Institute for Materials Research and Testing is currently developing a special radio-based, self-configuring measuring system in cooperation with the Berlin-based ScatterWeb Company. This measuring system consists of a number of identically designed sensor nodes which are self-sustaining, need no wiring, can act as both transmitters and receivers and are equipped with a special sensor technology making long-term monitoring of buildings or engineering facilities possible. The sensor unit uses strain gauges for stress analysis and contains interfaces for additional sensors. The system in particular applies to buildings and structures for transport and traffic and large-scale industrial facilities, where a subsequent wiring installation is difficult or impossible. T2 - 4th International conference on structural health monitoring of intelligent infrastructure CY - Zurich, Switzerland DA - 2009-07-22 KW - Funksensorik KW - Sensornetzwerk KW - Schadensfrüherkennung KW - Strukturüberwachung PY - 2009 IS - Paper 365 SP - 1 EP - 5 AN - OPUS4-19748 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - GEN A1 - Bartholmai, Matthias A1 - Köppe, Enrico ED - León, F.P. ED - Sommer, K.-D. ED - Heizmann, M. T1 - Funksensornetzwerk zur Strukturüberwachung und Schadensfrüherkennung an Bauwerken KW - Funksensorik KW - Sensornetzwerk KW - Schadensfrüherkennung KW - Strukturüberwachung PY - 2010 SN - 978-3-86644-476-8 SP - 49 EP - 56 PB - KIT Scientific Publishing CY - Karlsruhe AN - OPUS4-21086 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - GEN A1 - Bartholmai, Matthias A1 - Kammermeier, Michael A1 - Werner, Klaus-Dieter A1 - Homfeld, S.D. A1 - Köppe, Enrico T1 - Funkbasiertes Sensornetzwerk zur Schadensfrüherkennung an Bauwerken KW - Funksensorik KW - Sensornetzwerk KW - Schadensfrüherkennung KW - Strukturüberwachung PY - 2008 SN - 978-3-18-092011-5 SN - 0083-5560 N1 - Serientitel: VDI-Berichte – Series title: VDI-Berichte IS - 2011 SP - 587 EP - 592 PB - VDI-Verl. CY - Düsseldorf AN - OPUS4-17264 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -