TY - CONF A1 - Johann, Sergej A1 - Stürenberg, Jan A1 - Tandon, Aditya T1 - Robotergestütztes Bauwerksmonitoring basierend auf eingebetteter Sensorik N2 - In den letzten Jahrzehnten hat sich das Bauwerksmonitoring (engl. „Structural Health Monitoring“, SHM) zu einer nützlichen Ergänzung routinemäßiger Inspektionen entwickelt. SHM ermöglicht die frühzeitige Erkennung von Schäden an Bauwerken und dadurch die frühe, und somit kostengünstige, Durchführung von Reparatur- und Wartungsarbeiten. Mit dem Aufkommen drahtloser Technologien und Fortschritten in der Informations- und Kommunikationstechnologie werden Bauwerke zunehmend mit drahtlosen Sensorknoten ausgestattet, um für SHM relevante Bauwerksdaten zu erfassen, zu analysieren und zu übertragen. Eine vielversprechende Methode für SHM ist die direkte Einbettung von Sensoren in den Beton. In diesem Beitrag wird ein Sensorsystem zur Einbettung in Beton vorgestellt, das in der Lage ist, die im Beton aufgenommenen Bauwerksdaten auszuwerten. Die Sensoren werden bei Bedarf von vierbeinigen Robotern mittels Radio Frequency Identification (RFID) ausgelesen und mit Energie versorgt, was einen automatisierten und effizienten Prozess ermöglicht. Der prototypische Prozess zur automatischen Erfassung von Bauwerksdaten mit eingebetteter Sensorik und vierbeinigen Robotern wird durch Tests in einer Büroumgebung validiert. Die Ergebnisse der Tests bestätigen die automatische und effiziente Erfassung von Bauwerksdaten, die eine frühzeitige Erkennung von Bauwerksschäden, auch von nicht sichtbaren Schäden, ermöglicht, und eine folgerichtige Weiterentwicklung des modernen Bauwerksmonitorings repräsentiert. T2 - 35. Forum Bauinformatik CY - Hamburg, Germany DA - 18.09.2024 KW - Radio Frequency Identification (RFID) KW - Bauwerksmonitoring (SHM) KW - Eingebettete Sensorik KW - Vierbeinige Roboter KW - Autonome Navigation PY - 2024 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-621890 DO - https://doi.org/10.15480/882.13502 SP - 139 EP - 146 AN - OPUS4-62189 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Stührenberg, Jan T1 - Robotergestütztes Bauwerksmonitoring basierend auf eingebetteter Sensorik N2 - In den letzten Jahrzehnten hat sich das Bauwerksmonitoring (engl. „Structural Health Monitoring“, SHM) zu einer nützlichen Ergänzung routinemäßiger Inspektionen entwickelt. SHM ermöglicht die frühzeitige Erkennung von Schäden an Bauwerken und dadurch die frühe, und somit kostengünstige, Durchführung von Reparatur- und Wartungsarbeiten. Mit dem Aufkommen drahtloser Technologien und Fortschritten in der Informations- und Kommunikationstechnologie werden Bauwerke zunehmend mit drahtlosen Sensorknoten ausgestattet, um für SHM relevante Bauwerksdaten zu erfassen, zu analysieren und zu übertragen. Eine vielversprechende Methode für SHM ist die direkte Einbettung von Sensoren in den Beton. In diesem Beitrag wird ein Sensorsystem zur Einbettung in Beton vorgestellt, das in der Lage ist, die im Beton aufgenommenen Bauwerksdaten auszuwerten. Die Sensoren werden bei Bedarf von vierbeinigen Robotern mittels Radio Frequency Identification (RFID) ausgelesen und mit Energie versorgt, was einen automatisierten und effizienten Prozess ermöglicht. Der prototypische Prozess zur automatischen Erfassung von Bauwerksdaten mit eingebetteter Sensorik und vierbeinigen Robotern wird durch Tests in einer Büroumgebung validiert. Die Ergebnisse der Tests bestätigen die automatische und effiziente Erfassung von Bauwerksdaten, die eine frühzeitige Erkennung von Bauwerksschäden, auch von nicht sichtbaren Schäden, ermöglicht, und eine folgerichtige Weiterentwicklung des modernen Bauwerksmonitorings repräsentiert. T2 - 35. Forum Bauinformatik CY - Hamburg, Germany DA - 18.09.2024 KW - Radio Frequency Identification (RFID) KW - Bauwerksmonitoring (SHM) KW - Eingebettete Sensorik KW - Vierbeinige Roboter KW - Autonome Navigation PY - 2024 AN - OPUS4-62190 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Johann, Sergej A1 - Strangfeld, Christoph A1 - Zimmek, David A1 - Bartholmai, Matthias T1 - Smart electronic helper for long-term monitoring of bridges and building structures N2 - Increasing traffic volume on the one hand and ageing infrastructure on the other hand have created many new challenges for maintenance and structural health monitoring of roads and bridges. In the past, many bridges and road structures have been neglected, often resulting in traffic congestion, road closure, and increased repair costs. This research is concerned with the development of a system to improve the challenge of maintenance and early detection of damage, particularly moisture penetration and corrosion of steel reinforced concrete components. The objective is to develop a method that will also work after 30 years and longer. Many new IoT solutions are equipped with internal energy storage elements (accumulators or batteries) which are inappropriate here, since most relevant signs of concrete degradation occur after decades, where the functioning of such elements are more than questionable. The presented technology approach uses radio-frequency identification (RFID) and enables connectivity to sensors. It offers the advantage of an passive, completely independent energy supply without any energy storage components. Since the system should be permanently embedded in concrete, it is crucial to develop a long-term stable device which is adapted to the environmental influences of the structure, e.g., long-term resistance in very alkaline environment of pH 13. In numerous experiments, the robustness of the system was tested and evaluated. Various tests with encapsulations to protect the electronics were performed, and for long-term validation different concrete specimens were instrumented with RFID-sensor-systems. Their operating time is now around two years and investigations for signs of fatigue and damage to the encapsulation and the electronics are ongoing. T2 - SMAR 2019 CY - Potsdam, Germany DA - 27.08.2019 KW - Sensors KW - Passive RFID KW - Smart structures KW - SHT KW - Long term monitoring PY - 2020 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-501931 UR - https://www.ndt.net/?id=25011 SN - 1435-4934 VL - 25 IS - 1 SP - 1 EP - 6 PB - NDT.net CY - Kirchwald AN - OPUS4-50193 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Johann, Sergej T1 - Implementation and validation of robot-enabled embedded sensors for structural health monitoring N2 - In the past decades, structural health monitoring (SHM) has matured into a viable supplement to regular inspections, facilitating the execution of repair and maintenance work in the early stages of structural damage. With the advent of wireless technologies and advancements in information and communication technologies, civil infrastructure has been increasingly instrumented with wireless sensor nodes to record, analyze, and communicate data relevant to SHM. A promising method for SHM is to embed sensors directly into concrete for recording SHM data from inside structural elements. In this paper, a sensor system for embedment into concrete is proposed, able to assess SHM data recorded from concrete. Power is supplied to the sensors on-demand by quadruped robots, which also collect the SHM data via radio-frequency identification (RFID), providing an automated and efficient SHM process. In laboratory experiments, the capability of the sensor system of automatically collecting the SHM data using quadruped robots is validated. In summary, the integration of RFID technology and robot-based inspection presented in this study demonstrates a vital approach to evolve current SHM practices towards more digitalized and automated SHM. T2 - VDI/VDE-GMA FA 4.52 - Strukturanalyse und- überwachung in der Bautechnik CY - Clausthal-Zellerfeld, Germany DA - 04.09.2024 KW - Structural health monitoring KW - RFID-based sensors KW - Smart sensors KW - Embedded sensors KW - Legged robots KW - Quadruped robots PY - 2024 AN - OPUS4-60978 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Johann, Sergej T1 - Investigation of long-term embedded RFID sensors for structural health monitoring N2 - Ensuring the health of civil engineering structures is crucial for the safety and longevity of the built environment. In this direction, structural health monitoring (SHM) has been increasingly employed, providing insight into the structural behavior, based on sensor data representing structural responses. This paper investigates the plausibility of embedding sensors into concrete structures for SHM, leveraging radio frequency identification (RFID) technology, in an attempt to enable the passive operation of sensors without continuous power supply and to reduce potential sources of interference. In contrast to conventional SHM sensors, the uninterrupted operation of embedded sensors must be ensured because post-installation interventions are either impractical or impossible. RFID technology enables wireless data acquisition and energy transmission without mechanical impact on civil engineering structures, although it may be challenging when RFID sensors are embedded in concrete. This study presents a durable passive embedded RFID sensor system (i.e., a system without batteries), including the selection of components, such as housing and cable materials, suitable for withstanding the aggressive environment of concrete without damaging the sensitive electronics or contaminating the data recorded by the sensors. The proposed sensor system is validated in laboratory tests, the results of which provide insights into the influence of each component and are intended to advance the implementation of embedded sensor systems. T2 - IEEE Sensors 2024 CY - Kobe, Japan DA - 20.10.2024 KW - Structural health monitoring KW - RFID-based sensors KW - Smart sensors KW - Embedded sensors PY - 2024 AN - OPUS4-62163 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Johann, Sergej A1 - Stührenberg, Jan A1 - Tandon, Aditya A1 - Dragos, Kosmas A1 - Bartholmai, Matthias A1 - Strangfeld, Christoph A1 - Smarsly, Kay T1 - Investigation of long-term embedded RFID sensors for structural health monitoring N2 - Ensuring the health of civil engineering structures is crucial for the safety and longevity of the built environment. In this direction, structural health monitoring (SHM) has been increasingly employed, providing insight into the structural behavior, based on sensor data representing structural responses. This paper investigates the plausibility of embedding sensors into concrete structures for SHM, leveraging radio frequency identification (RFID) technology, in an attempt to enable the passive operation of sensors without continuous power supply and to reduce potential sources of interference. In contrast to conventional SHM sensors, the uninterrupted operation of embedded sensors must be ensured because post-installation interventions are either impractical or impossible. RFID technology enables wireless data acquisition and energy transmission without mechanical impact on civil engineering structures, although it may be challenging when RFID sensors are embedded in concrete. This study presents a durable passive embedded RFID sensor system (i.e., a system without batteries), including the selection of components, such as housing and cable materials, suitable for withstanding the aggressive environment of concrete without damaging the sensitive electronics or contaminating the data recorded by the sensors. The proposed sensor system is validated in laboratory tests, the results of which provide insights into the influence of each component and are intended to advance the implementation of embedded sensor systems. T2 - IEEE Sensors 2024 CY - Kobe, Japan DA - 20.10.2024 KW - Structural health monitoring KW - RFID-based sensors KW - Smart sensors KW - Embedded sensors PY - 2024 SN - 979-8-3503-6351-7 DO - https://doi.org/10.1109/SENSORS60989.2024.10785220 SP - 1 EP - 4 AN - OPUS4-62162 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Bartelmeß, Jürgen A1 - Zimmek, David A1 - Bartholmai, Matthias A1 - Strangfeld, Christoph A1 - Schäferling, M. T1 - Fibre optic ratiometric fluorescence pH sensor for monitoring corrosion in concrete N2 - In this communication a novel concept for pH sensing is introduced which is specifically adapted to monitor carbonation induced corrosion in concrete structures. The method is based on a ratiometric measurement principle, exploiting the pH sensitive colour switching of thymol blue in the basic pH regime and the emissive properties of two different (Zn)CdSe/ZnS core shell quantum dots. The transition point of thymol blue in a Hydrogel D4 matrix was determined to be at around pH 11.6, which fits ideally to the intended application. Next to the fundamental spectroscopic characterization of the ratiometric response, a new design for a sensor head, suitable for the incorporation into concrete matrices is presented. Toward this, a manufacturing process was developed which includes the preparation of a double layer of polymers containing either thymol blue or a quantum dot mixture inside a porous ceramic tube. Results of a proof-of-priciple performance test of the sensor head in solutions of different pH and in cement specimens are presented, with encouraging results paving the way for future field tests in concrete. KW - Fiber optic sensing KW - PH monitoring in concrete KW - Embedded sensors KW - Ratiometric fluorescence PY - 2020 DO - https://doi.org/10.1039/c9an02348h VL - 145 IS - 6 SP - 2111 EP - 2117 PB - Royal Society of Chemistry AN - OPUS4-50381 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Neumann, Patrick P. A1 - Grotelüschen, Bjarne A1 - Bartholmai, Matthias A1 - Strangfeld, Christoph ED - Kossa, A. ED - Kiss, R. T1 - Towards Autonomous NDT Inspection: Setup and Validation of an Indoor Localization System N2 - Monitoring and maintenance of civil infrastructure are of great importance, as any undetected damage can cause high repair costs, unintended deadtime, or endanger structural integrity. The inspection of large concrete structures such as bridges and parking lots is particularly challenging and time-consuming. Traditional methods are mostly manual and involve mapping a grid of measurement lines to record the position of each measurement. Current semi-automated methods, on the other hand, use GPS or tachymeters for localization but still require trained personnel to operate. An entirely automated approach using mobile robots would be more cost- and time-efficient. While there have been developments in using GPS-enabled mobile robots for bridge inspection, the weak signal strength in indoor areas poses a challenge for the automated inspection of structures such as parking lots. This paper aims to develop a solution for the automated inspection of large indoor concrete structures by addressing the problem of robot localization in indoor spaces and the automated measurement of concrete cover and rebar detection. T2 - 39th Danubia-Adria Symposium on Advances in Experimental Mechanics CY - Siófok, Hungary DA - 26.09.2023 KW - NDT Inspection KW - Mobile Robot KW - Indoor Localization KW - Setup and Validation PY - 2023 SN - 978-963-421-927-9 SP - 88 EP - 89 PB - Hungarian Scientific Society of Mechanical Engineering (GTE) CY - Siófok, Hungary AN - OPUS4-58660 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Johann, Sergej T1 - Implementation and validation of robot-enabled embedded sensors for structural health monitoring N2 - In the past decades, structural health monitoring (SHM) has matured into a viable supplement to regular inspections, facilitating the execution of repair and maintenance work in the early stages of structural damage. With the advent of wireless technologies and advancements in information and communication technologies, civil infrastructure has been increasingly instrumented with wireless sensor nodes to record, analyze, and communicate data relevant to SHM. A promising method for SHM is to embed sensors directly into concrete for recording SHM data from inside structural elements. In this paper, a sensor system for embedment into concrete is proposed, able to assess SHM data recorded from concrete. Power is supplied to the sensors on-demand by quadruped robots, which also collect the SHM data via radio-frequency identification (RFID), providing an automated and efficient SHM process. In laboratory experiments, the capability of the sensor system of automatically collecting the SHM data using quadruped robots is validated. In summary, the integration of RFID technology and robot-based inspection presented in this study demonstrates a vital approach to evolve current SHM practices towards more digitalized and automated SHM. T2 - VDI Fachausschuss 4.52 CY - Wernigerode, Germany DA - 04.09.2024 KW - Structural health monitoring KW - RFID-based sensors KW - Smart sensors KW - Embedded sensors KW - Legged robots KW - Quadruped robots PY - 2024 AN - OPUS4-62160 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Agasty, Amit T1 - Structural behavior and damage assessment of a reinforced concrete wall by various NDT methods and embedded sensors under blast-loading N2 - A safety or security related assessment of explosions, accidental and intentional scenarios alike, often necessitate performance of replication-tests. Such test results are necessary to clarify the causes within the scope of forensic investigations. To gain important insights into the behavior of structures and materials under such loading, field tests may also be performed in accordance with different test standards. To determine the resistance of building-structures after explosions, estimation of the residual load-bearing capacity in addition to the assessment of dynamic structural response and damage to the building components is important. In most cases an evaluation of structural integrity is based only on the visual damage, resulting in an overestimation of the residual capacity. The Bundesanstalt für Materialforschung und -prüfung (BAM) operates the Test site for Technical Safety (TTS) on an area measuring about 12 km2 in the Federal State of Brandenburg for execution of true-to-scale explosion tests. At the TTS, building component testing was performed to assess the suitability of different non-destructive testing methods to characterize the dynamic structural response and damage resulting from the detonation of high explosives. Different blast-loading scenarios were realized by varying the net explosive mass and the standoff distance with all scenarios representing a near-field detonation. The test object was a reinforced concrete wall 2 m high, 2.5 m wide and 20 cm thick, fixed at both vertical edges. The dynamic loading of the wall was characterized with 8 piezoelectric pressure sensors flush-mounted on the front surface, thus measuring the reflected pressures from the shock wave. The tests were conducted with the aim of characterizing the global behavior of the wall under dynamic shock loading and the resulting local damage pattern, respectively. High speed digital image correlation was implemented in combination with multiple acceleration sensors to observe the rear surface of the wall to chart the dynamic deflection during the loading and to determine the residual deformation after the loading had ceased. In addition, one test specimen was instrumented with fiber optic sensor cables, both fixed to the rebars and embedded in the concrete-matrix, respectively. Firstly, these sensors were interrogated during the blast test by a distributed acoustic sensing (DAS) device using a particularly high sampling rate to measure the shock-induced vibrations in the structure with high temporal resolution. This delivers information on dynamics of compression and tension cycles from within the structure. Secondly, the local damage-pattern emerging during the series of blasts was determined via distributed fiber optic strain sensing (DSS) by interrogating the embedded fiber optic sensors with a high spatial resolution DSS device after each blast. This enabled the characterization of non-visual damage to the structure, in particular with regard to the formation of localized cracks in the concrete matrix. The DSS was further complimented by a structure-scanner based on ultrasonic measurements. Our contribution describes this new test approach in detail. Results of the three datasets, namely dynamic shock loading, global behavior of the test object and the local damage pattern will be presented. The suitability of the implemented measurement methods will be discussed in combination with the challenges in their application for technical safety evaluation of building components under explosive loading. T2 - 26th International Symposium on Military Aspects of Blast and Shock (MABS26) CY - Wollongong, Australia DA - 03.12.2023 KW - Blast tests KW - Reflected pressure KW - Embedded sensors KW - Distributed fiber optic sensors KW - Acceleration sensors KW - Digital image correlation KW - Ultrasonic structure-scanner PY - 2023 AN - OPUS4-58927 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -