Relevant bibliographies by topics / Strukturüberwachung (Structural Health Monitoring)

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Strukturüberwachung (Structural Health Monitoring)'

Author: Grafiati
Published: 4 June 2021
Last updated: 6 February 2022

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Journal articles on the topic "Strukturüberwachung (Structural Health Monitoring)"

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Jansen, Andreas, and Karsten Geißler. "Strukturüberwachung von Straßenbrücken durch Bauwerksmonitoring – Teil 1: Rechnerische Simulation mit einem auf Einflusslinien basierenden Merkmal/Structural health monitoring of road bridges – Part 1: Simulations with an influence line-based feature." Bauingenieur 96, no. 07-08 (2021): 275–83. http://dx.doi.org/10.37544/0005-6650-2021-07-08-73.

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Die messtechnische Strukturüberwachung von Brücken hat das Potenzial, sich langfristig als wichtiges ergänzendes Instrument zur kontinuierlichen Zustandsbewertung zu etablieren. Die jüngere Forschung auf diesem Gebiet setzt verstärkt auf Signalmerkmale unterschiedlicher Sensortypen sowie auf Methoden des maschinellen Lernens. Daran anknüpfend wird in diesem zweiteiligen Aufsatz erläutert, wie Bauwerksschäden mithilfe der Anomalieerkennung mit Modellen des maschinellen Lernens identifiziert werden können. Im Teil 1 wird ein Signalmerkmal vorgestellt, das auf Einflusslinien basiert: Die R-Signatur. Durch Simulationen kann gezeigt werden, dass die R-Signatur deutlich empfindlicher auf einen Bauwerksschaden reagiert als die betrachteten Eigenfrequenzen. In Teil 2 wird ein Verfahren zur Anomalieerkennung beschrieben, das Bauwerksschäden durch eine Veränderung der Korrelationsstruktur der R-Signatur identifiziert. Das zugrunde liegende Datenmodell nutzt dabei die Hauptkomponentenanalyse. Der vorgestellte Ansatz wurde mit den Messdaten einer Straßenbrücke verifiziert.
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Ghodake, Prasad, and S. R. Suryawanshi. "Structural Health Monitoring." Journal of Advances and Scholarly Researches in Allied Education 15, no. 2 (2018): 360–63. http://dx.doi.org/10.29070/15/56847.

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Pines, Darryll J., and Fu-Kuo Chang. "Structural Health Monitoring." Journal of Intelligent Material Systems and Structures 9, no. 11 (1998): 875. http://dx.doi.org/10.1177/1045389x9800901101.

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Del Grosso, Andrea E. "Structural Health Monitoring Standards." IABSE Symposium Report 102, no. 6 (2014): 2991–98. http://dx.doi.org/10.2749/222137814814069804.

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Chattopadhyay, Aditi, and Roger Ghanem. "Preface: Structural Health Monitoring." Journal of Intelligent Material Systems and Structures 24, no. 17 (2013): 2061–62. http://dx.doi.org/10.1177/1045389x13506146.

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Rasool, Junaid. "IOT Based Structural Health Monitoring." International Journal of Trend in Scientific Research and Development Volume-2, Issue-6 (2018): 771–73. http://dx.doi.org/10.31142/ijtsrd18743.

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Yi, Ting-Hua, and Hong-Nan Li. "Innovative structural health monitoring technologies." Measurement 88 (June 2016): 343–44. http://dx.doi.org/10.1016/j.measurement.2016.05.038.

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Elwasia, Nazar, Mannur J. Sundaresan, Mark J. Schulz, Anindya Ghoshal, P. Frank Pai, and Peter K. C. Tu. "Damage Bounding Structural Health Monitoring." Journal of Intelligent Material Systems and Structures 17, no. 7 (2006): 629–48. http://dx.doi.org/10.1177/1045389x06060148.

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Rivera, E., A. A. Mufti, and D. J. Thomson. "Civionics for structural health monitoring." Canadian Journal of Civil Engineering 34, no. 3 (2007): 430–37. http://dx.doi.org/10.1139/l06-159.

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As the design and construction of civil structures continue to evolve, it is becoming imperative that these structures be monitored for their health. To meet this need, the discipline of civionics has emerged. It involves the application of electronics to civil structures and aims to assist engineers in realizing the full benefits of structural health monitoring (SHM). Therefore, the goal of the civionics specifications outlined in this work is to ensure that the installation and operation of fibre optic sensors are successful. This paper will discuss several lessons learned during the implementation of health monitoring systems for civil structures. The monitoring of these structures primarily motivated the writing of these specifications. Creating a standard procedure for SHM eliminated several ambiguities, such as fibre sensor specifications and the types of cables required. As a result, it is expected that these specifications will help ensure that the sensors will survive the installation process and eventually prove their value over years of structural health monitoring. The civionics fibre optic sensor specifications include the requirements for fibre sensors and their corresponding readout units. They also include specifications for the cables, conduits, junction boxes, termination, and environmental protection.Key words: civionics, structural health monitoring, fibre optic sensors, specifications.
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Sumitro, S., and M. L. Wang. "Sustainable structural health monitoring system." Structural Control and Health Monitoring 12, no. 3-4 (2005): 445–67. http://dx.doi.org/10.1002/stc.79.

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Dissertations / Theses on the topic "Strukturüberwachung (Structural Health Monitoring)"

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Auerswald, Christian. "Mikromechanischer Körperschall-Sensor zur Strukturüberwachung." Doctoral thesis, Universitätsbibliothek Chemnitz, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-205864.

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Strukturüberwachung und Condition Monitoring spielen in vielen Gebieten der Technik eine große Rolle. Zur Überwachung von Leichtbaustrukturen aus faserverstärkten Kunststoffen bietet sich hierfür besonders die Körperschall-Analyse an. Am Markt etabliert sind hierfür piezoelektrische Signalaufnehmer. Diese Arbeit stellt eine kostengünstige Alternative in Form von mikromechanischen Körperschall-Sensoren vor. Eine Besonderheit stellt hierbei das Prinzip des mechanischen Bandpasses dar. Es wird die Elektronik- und Gehäuseentwicklung sowie die experimentelle Untersuchung dargelegt<br>Structural health monitoring is of vital importance in many technical fields. For monitoring of lightweight structures made from fiber reinforced plastics especially acoustic emission testing is used. Commercially available transducers utilize the piezoelectric effect. This thesis introduces a cost efficient alternative in form of micromechanical sensors, in particular sensors using the principle of a mechanical bandpass. The design of electronics and the packaging as well as experimental investigations are provided
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Hetti, Mimi. "Synthesis and Characterization of Polymeric Magnetic Nanocomposites for Damage-Free Structural Health Monitoring of High Performance Composites." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-211082.

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The poly(glycidyl methacrylate)-modified magnetite nanoparticles, Fe3O4-PGMA NPs, were investigated and applied in nondestructive flaw detection of polymeric materials in this research. The Fe3O4 endowed magnetic property to the materials for flaw detection while the PGMA promoted colloidal stability and prevented particle aggregation. The magnetite nanoparticles (Fe3O4 NPs) were successfully synthesized by coprecipitation and then surface-modified with PGMA to form PGMA-modified Fe3O4 NPs by both grafting-from and grafting-to approaches. For the grafting-from approach, the Fe3O4 NPs were surface-functionalized with α-bromo isobutyryl bromide (BIBB) to form BIB-modified Fe3O4 NPs (Fe3O4-BIB NPs) with covalent linkage. The resultant Fe3O4-BIB NPs were used as surface-initiators to grow PGMA by surface-initiated atom transfer radical polymerization (SI-ATRP). For the grafting-to approach, the Fe3O4 NP were surface-functionalized with (3-mercaptopropyl)triethoxysilane (MCTES) to form MCTES-modified Fe3O4 NPs (Fe3O4-MCTES NPs). The PGMA with Br-end group was pre-synthesized by ATRP and then was grafted to the surface of the Fe3O4-MCTES NPs by coupling reaction. Both bare and modified Fe3O4 NPs exhibited superparamagnetism and the existence of iron oxide in the form of Fe3O4 was confirmed. The particle size of individual Fe3O4 NPs was about 8 – 24 nm but they aggregated to form clusters. The PGMA-modified NPs formed stable dispersion in chloroform and had larger cluster sizes than the unmodified ones because of the PGMA polymer layer. However, the uniformity of the NP clusters could be improved with PGMA surface grafting. The PGMA surface layer of the grafting-from (Fe3O4-gf-PGMA) NPs was thin and dense while that of the grafting-to (Fe3O4-gt-PGMA) NPs was thick and loose. The hydrodynamic diameters (Zave) of Fe3O4-gf-PGMA NP clusters could be controlled between 176 to 643 nm, dependent on the PGMA contents and reaction conditions. During SI-ATRP, side reactions happened and caused NP aggregation as well as increase of size of NP clusters. However, the aggregation has been minimized through optimization of reaction conditions. Oppositely, Zave values of Fe3O4-gt-PGMA NPs had little variation of about 120 – 190 nm. And the PGMA content of the Fe3O4-gt-PGMA NPs was limited to 12.5% because of the spatial hindrance during grafting process. The saturation magnetization (Ms) of the unmodified Fe3O4 NPs was about 77 emu/g, while those of the grafting-from and grafting-to Fe3O4-PGMA NPs were 50 – 66 emu/g and 63 – 70 emu/g, respectively. For Fe3O4-PGMA NPs with similar Fe3O4 contents, the grafting-to NPs had slightly higher Ms than the grafting-from counterparts. In addition, the Ms of both kinds of the Fe3O4-PGMA NPs with higher Fe3O4 content (> 87%) were also higher than that of the fluidMAG-Amine, the commercially available amine-modified MNPs. Besides, both kinds of Fe3O4-PGMA NPs also had much higher Fe3O4 contents and Ms values than most of the reported PGMA-modified MNPs. The magnetic epoxy nanocomposites (MENCs) were prepared by blending the modified Fe3O4 NPs into bisphenol A diglycidyl ether (BADGE)-based epoxy system and the distributions of both kinds of the PGMA-modified NPs were much better than that of the oleic acid-modified Fe3O4 NPs. Similar to the NPs, the MENCs also exhibited superparamagnetism. By cross-section TEM observation, the grafting-to Fe3O4-PGMA NPs formed more homogeneous distributions with smaller cluster size than the grafting-from counterparts and gave higher Ms of the MENCs. Nondestructive flaw detection of surface and sub-surface defects could be successfully achieved by brightness contrast of images given through eddy current testing (ET) method, which is firstly reported. The mechanical properties of the materials were influenced very slightly when 2.5% or lower Fe3O4-gt-PGMA NPs were present while the presence of the Fe3O4-gf-PGMA NPs (1 – 2.5 %) gave mild improvement of the storage modulus and increase of the glass-rubber transition temperature(Tg) of the MENCs. Furthermore, the Fe3O4-PGMA NPs could be evenly coated onto the functionalized ultra-high molecular weight poly(ethylene) (UHMWPE) textiles. The Fe3O4-gt-PGMA NPs were coated on the textile in order to prepare NP-coated textile-reinforced composite. Preliminary result of ET measurement showed that the Fe3O4-gt-PGMA NPs coated on the textiles could visualize the structure of the textile hidden inside and their relative depth. Accordingly, the incorporation of MNPs to polymers opens a new pathway of damage-free structural health monitoring of polymeric materials.
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Webb, Graham Thomas. "Structural health monitoring of bridges." Thesis, University of Cambridge, 2014. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.708027.

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Grisso, Benjamin Luke. "Advancing Autonomous Structural Health Monitoring." Diss., Virginia Tech, 2007. http://hdl.handle.net/10919/29960.

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The focus of this dissertation is aimed at advancing autonomous structural health monitoring. All the research is based on developing the impedance method for monitoring structural health. The impedance technique utilizes piezoelectric patches to interrogate structures of interested with high frequency excitations. These patches are bonded directly to the structure, so information about the health of the structure can be seen in the electrical impedance of the piezoelectric patch. However, traditional impedance techniques require the use of a bulky and expensive impedance analyzer. Research presented here describes efforts to miniaturize the hardware necessary for damage detection. A prototype impedance-based structural health monitoring system, incorporating wireless based communications, is fabricated and validated with experimental testing. The first steps towards a completely autonomous structural health monitoring sensor are also presented. Power harvesting from ambient energy allows a prototype to be operable from a rechargeable power source. Aerospace vehicles are equipped with thermal protection systems to isolate internal components from harsh reentry conditions. While the thermal protection systems are critical to the safety of the vehicle, finding damage in these structures presents a unique challenge. Impedance techniques will be used to detect the standard damage mechanism for one type of thermal protection system. The sensitivity of the impedance method at elevated temperatures is also investigated. Sensors are often affixed to structures as a means of identifying structural defects. However, these sensors are susceptible to damage themselves. Sensor diagnostics is a field of study directed at identifying faulty sensors. The influence of temperature on these techniques is largely unstudied. In this dissertation, a model is generated to identify damaged sensors at any temperature. A sensor diagnostics method is also adapted for use in developed hardware. The prototype used is completely digital, so standard sensor diagnostics techniques are inapplicable. A new method is developed to work with the digital hardware.<br>Ph. D.
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Ward, Jacob Thomas Elliott. "Guided wave structural health monitoring." Thesis, University of Bristol, 2015. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.682233.

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Routine airframe Non-Destructive Testing (NDT) procedures are costly and prone to human error. Guided wave structural health monitoring (GWSHM) shows great promise to in future assist these carefully regulated aerospace NDT practices. Using automatic GWSHM to both detect and localise damage can better focus the human NDT effort and ultimately lead to safer operation of airframes. The thesis presents structural health monitoring techniques for airframes using measurements of guided waves. Work is presented on both metal plates and carbon fibre reinforced plastic panels. An active GWSHM method is considered in its capability to detect and localise damage by measurements of scattered Lamb waves from artificially placed damage. The contribution to knowledge on active GWSHM has been towards effective and practical strategies for placing a low number of transducers into arrays suitable for global coverage. Much early active GWSHM studies often adopted a uniformly sparse distribution of transducer elements, perhaps in an attempt to gain the best possible global coverage. In this thesis, active GWSHM performance has been evaluated for arrays of different geometry and has shown that a uniformly sparse distribution of transducer elements may not be the most effective strategy when using a minimal number of sensors. Simulated and artificial damage, placed with different orientations over a large area, has been used to test candidate array layouts. It finds the layout optimal for damage detection is not necessarily the layout optimal for damage localisation. The zeroth order anti-symmetric Lamb wave mode has been used at low frequency-thickness. The mode, referred to as the flexural mode when propagating with low frequency-thickness, is favoured for its short wave length and long range. At low frequency-thickness this mode is quickly outrun by its symmetric counterpart, causing coherent noise in the signals recorded. Baseline subtraction is used to suppress the coherent noise before imaging. Benign structural features, that would usually hinder damage-localisation from an image, are actually found to assist damage localisation for some array layouts when using the reference baseline signal subtraction technique. A passive GWSHM method is considered in its capability to localise impacts. Impact events on carbon fibre panels are localised using a low frequency passive array. The technique is suggested for evaluating damage from tyre-burst or propeller debris impacts to airframe surfaces. It is particularly relevant to new airframe designs that have significant usage of composite materials on their outer surface. Historically the aerospace sector has readily adopted time of arrival estimation methods similar to those found on a standard oscilloscope. As an example, acoustic emission monitoring, in recent decades has routinely used threshold-crossing as a means of time of arrival measurement. An alternative is presented requiring the whole time series to be post-processed. It extracts an alternative arrival time from propagating waves resulting from the impact, which can be used in time-difference of arrival algorithms. This method is shown to be more reliable and accurate for impact localisation than historical techniques.
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Singh, Gurjashan. "Health Monitoring of Round Objects using Multiple Structural Health Monitoring Techniques." FIU Digital Commons, 2010. http://digitalcommons.fiu.edu/etd/330.

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Structural Health Monitoring (SHM) techniques are widely used in a number of Non – destructive Evaluation (NDE) applications. There is a need to develop effective techniques for SHM, so that the safety and integrity of the structures can be improved. Two most widely used SHM methods for plates and rods use either the spectrum of the impedances or monitor the propagation of lamb waves. Piezoelectric wafer – active sensors (PWAS) were used for excitation and sensing. In this study, surface response to excitation (SuRE) and Lamb wave propagation was monitored to estimate the integrity of the round objects including the pipes, tubes and cutting tools. SuRE obtained the frequency response by applying sweep sine wave to surface. The envelope of the received signal was used to detect the arrival of lamb waves to the sensor. Both approaches detect the structural defects of the pipes and tubes and the wear of the cutting tool.
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Brigman, Nicholas (Nicholas Allen). "Structural health monitoring in commercial aviation." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/73846.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2012.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 87-90).<br>The number of aging commercial aircraft in service is steadily increasing as airlines continue to extend the life of their aircraft. Aging aircraft are more susceptible to fatigue and corrosion and require more frequent and intensive inspections and maintenance, which is a financial drain on operators. One way to improve the economics and safety of commercial aircraft is through implementation of a structural health monitoring (SHM) system. An ideal SHM would be able to give be capable of indicating damage type, location, severity, and estimate the remaining life of the structure while the structure is in use. This paper is an overview of how SHM can be applied in commercial aviation including discussion of requirements, implementation, challenges, and introducing several possible SHM systems. The SHM systems introduced in this paper are: vibration based monitoring, fiber optic sensors, and high frequency wave propagation techniques including acoustic emission, ultrasonic, Lamb waves, piezoelectric and MEMS actuator/sensors. The limitations and challenges inhibiting introduction of SHM to industry and recommendations for the future are also discussed.<br>by Nicholas Brigman.<br>M.Eng.
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Mani, Girindra N. "Structural Health Monitoring of Rotordynamic Systems." University of Akron / OhioLINK, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=akron1144522032.

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Ashwin, Belle. "WIRELESS INTELLIGENT STRUCTURAL HEALTH MONITORING SYSTEM." VCU Scholars Compass, 2008. http://scholarscompass.vcu.edu/etd/1626.

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Metal structures are susceptible to various types of damages, including corrosion, stress damage, pillowing deformation, cracks etc. These kinds of damages in the metal structures occur mainly due to operational conditions and exposure to the environment. Our research involves a portable integrated wireless sensor system with video camera and ultrasound capabilities which is being developed to investigate corrosion damage on real structures in real time. This system uses images of the metal surfaces, which are captured from an integrated wireless sensor and then quantified and analyzed using computational intelligence. The quantification of the obtained images is done with specialized component analysis software which enhances and performs wavelet transforms on the received images. Through this quantized analysis of the images we can detect and isolate regions of degradation on the metal surface. We believe that the final developed system will allow us to detect damage in metallic structures in its early stages, thereby ensuring proper safety and maintenance of its structural health. This system will further be targeted towards medical applications with capabilities of remote health monitoring. The initial target areas being bone structure and cancer detection and analysis. Applying such a wireless data capture system in these areas will reveal a broad spectrum of the usage of such an application system.
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Azhari, Faezeh. "Cement-based sensors for structural health monitoring." Thesis, University of British Columbia, 2008. http://hdl.handle.net/2429/7324.

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The purpose of structural health monitoring is to continuously and accurately assess the performance of structures using a sensory system. Recently introduced, cement-based sensors are piezoresistive and therefore can be used to sense stress/strain, simply by monitoring their electrical resistivity. These sensors, also known as smart (self-monitoring) structural materials can be used as a part or total component of structures and provide both structural capability and response to applied stress and damage. In this study cement-based sensors are developed using two types of carbon fibres, as well as both single-walled and multi-walled carbon nano-tubes. A wide range of experiments were conducted to pinpoint the most efficient fibre content, frequency, electrode type and resistivity measurement technique. The influence of different parameters such as curing, temperature, moisture and chloride were also investigated. The resistivity of the specimens increased with curing time, but became almost constant after a certain amount of time. The resistivity values decreased with increasing temperature and increased with the decrease in temperature at a rate of about 22-35 ohm-cm/°C. It was further found that moisture and chloride have a considerable influence on the electrical resistivity of these sensors. Next, the response of the developed cement-based sensors to compressive, tensile and flexural loading was explored. The resistivity values from the sensors were compared with load and displacement values as well as strain data acquired from conventional strain gauges. The results indicate that electrical resistivity of the sensors increases reversibly upon tension and decreases reversibly under compression provided that substantial cracking does not occur and the sensor remains in the elastic range. Once a dense field of micro-cracking followed by macro-cracking occurs, these sensors respond distinctly, possibly even prior to the appearance of visible cracks, providing an early prediction of any upcoming failure. The resistivity measurements under both compressive and tensile stress demonstrated an excellent correlation with strain. The developed sensors offer gauge factors well above those of electrical strain gauges. It is concluded, therefore, that cement-based sensors can be the future alternative for conventional sensors in the structural health monitoring of concrete structures.
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Books on the topic "Strukturüberwachung (Structural Health Monitoring)"

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Balageas, Daniel, Claus-Peter Fritzen, and Alfredo Gemes, eds. Structural Health Monitoring. ISTE, 2006. http://dx.doi.org/10.1002/9780470612071.

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Yan, Ruqiang, Xuefeng Chen, and Subhas Chandra Mukhopadhyay, eds. Structural Health Monitoring. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56126-4.

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Farrar, Charles R., and Keith Worden. Structural Health Monitoring. John Wiley & Sons, Ltd, 2012. http://dx.doi.org/10.1002/9781118443118.

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Ganguli, Ranjan. Structural Health Monitoring. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-4988-5.

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International Workshop on Structural Health Monitoring (2nd 1999 Stanford, Calif.). Structural health monitoring, 2000. Technomic Pub. Co., 1999.

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Limongelli, Maria Pina, and Mehmet Çelebi, eds. Seismic Structural Health Monitoring. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-13976-6.

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Rainieri, Carlo, Giovanni Fabbrocino, Nicola Caterino, Francesca Ceroni, and Matilde A. Notarangelo, eds. Civil Structural Health Monitoring. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-74258-4.

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Wicks, Alfred, ed. Structural Health Monitoring, Volume 5. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04570-2.

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Chan, Tommy. Structural health monitoring in Australia. Nova Science Publishers, 2010.

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Gelman, Len, Nadine Martin, Andrew A. Malcolm, and Chin Kian (Edmund) Liew, eds. Advances in Condition Monitoring and Structural Health Monitoring. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-9199-0.

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Book chapters on the topic "Strukturüberwachung (Structural Health Monitoring)"

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Weihnacht, Bianca, Uwe Lieske, Tobias Gaul, and Kilian Tschöke. "Structural Health Monitoring." In Handbook of Advanced Nondestructive Evaluation. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-26553-7_50.

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Tennina, Stefano, Marco Tiloca, Jan-Hinrich Hauer, et al. "Structural Health Monitoring." In SpringerBriefs in Electrical and Computer Engineering. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37368-8_7.

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Bakht, Baidar, and Aftab Mufti. "Structural Health Monitoring." In Bridges. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-17843-1_10.

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Mangalgiri, Prakash D., and Kota Harinarayana. "Structural Health Monitoring." In Aerospace Materials and Material Technologies. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-2143-5_22.

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Chang, Fu-Kuo, Johannes F. C. Markmiller, Jinkyu Yang, and Yujun Kim. "Structural Health Monitoring." In System Health Management. John Wiley & Sons, Ltd, 2011. http://dx.doi.org/10.1002/9781119994053.ch26.

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Lu, George, and Y. J. Yang. "STRUCTURAL HEALTH MONITORING." In Internet of Things and Data Analytics Handbook. John Wiley & Sons, Inc., 2016. http://dx.doi.org/10.1002/9781119173601.ch40.

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Weihnacht, Bianca, Uwe Lieske, Tobias Gaul, and Kilian Tschöke. "Structural Health Monitoring." In Handbook of Advanced Non-Destructive Evaluation. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-30050-4_50-1.

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Ganguli, Ranjan. "Damage Detection in Composite Plates." In Structural Health Monitoring. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-4988-5_4.

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Ganguli, Ranjan. "Introduction." In Structural Health Monitoring. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-4988-5_1.

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Ganguli, Ranjan. "Fuzzy Logic and Probability in Damage Detection." In Structural Health Monitoring. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-4988-5_2.

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Conference papers on the topic "Strukturüberwachung (Structural Health Monitoring)"

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"Computational Study of Scattering Elastic Waves Due to a Teredo Marine Borer-Like Cylindrical Defect Embedded in an Isotropic Solid Cylinder." In Structural Health Monitoring. Materials Research Forum LLC, 2021. http://dx.doi.org/10.21741/9781644901311-13.

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Abstract. This paper showcases a quantitative investigation of scattering of ultrasonic waves experiences when impinging on a cylindrical defect inside a solid cylinder. Such cylindrical bores reduce the structural capacity of the cylinder, these defects constitute an even greater risk as they cannot be observed from the surface. The focal point investigated herein is to develop a better understanding of the wave’s scattering when interacting with defects of cylindrical bore, mimicking the Teredo marine borer, within the solid cylinder. Two-dimensional Finite Element simulations are carried out using ABAQUS software. A 200 kHz 5.5 cycle Hann windowed excitation on an isotropic cylinder is simulated a point source excitation at the circumference of the cylinder is used. The scattering wave fields from a range of defect diameters through the solid cylinder are presented. Using Two-Dimensional Fast Fourier Transform, the wave mode and velocity of the scattered wavefield along various directions was identified in cylindrical coordinates, to decouple the wave modes. Computational results are presented for the scattering pattern as a function of cylindrical bore diameter size relative to wavelength. This study serves as an efficient approach when choosing an input for ultrasonic imaging, with the aim to obtain high fidelity imaging resolution for structural health monitoring applications.
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"Gaussian Mixture Model Based Damage Evaluation for Aircraft Structures." In Structural Health Monitoring. Materials Research Forum LLC, 2021. http://dx.doi.org/10.21741/9781644901311-18.

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Abstract. The Guided Wave (GW) based Structural Health Monitoring (SHM) method is of significant research interest because of its wide monitoring range and high sensitivity. However, there are still many challenges in real engineering applications due to complex time-varying conditions, such as changes in temperature and humidity, random dynamic loads, and structural boundary conditions. In this paper, a Gaussian Mixture Model (GMM) is adopted to deal with these problems. Multi-dimensional GMM (MDGMM) is proposed to model the probability distribution of GW features under time-varying conditions. Furthermore, to measure the migration degree of MDGMM to reveal the crack propagation, research on migration indexes of the probability model is carried out. Finally, the validation in an aircraft fatigue test shows a good performance of the MDGMM.
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"Damage Identification of High-speed Maglev Guideway Girder Based on Modal Identification." In Structural Health Monitoring. Materials Research Forum LLC, 2021. http://dx.doi.org/10.21741/9781644901311-34.

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Abstract. As a modern high-tech rail vehicle, the maglev train realizes the non-contact suspension and guidance between the train and the guideway, which greatly reduces the resistance of the system. Due to the high-speed operation characteristics of maglev trains, the structural health monitoring of guideway girders is particularly important for the safety and stability of maglev train operation. This paper takes the maglev train guideway girder as the monitoring target, and the finite element model of the maglev vehicle-guideway is established to simulate the running state of the train passing through the guideway girder. The dynamic response data of the guideway girder is obtained in the finite element model, considering healthy states and different damage states of the guideway girder. Then, a modal-based damage identification method is proposed, which obtains the guideway girder damage sensitive characteristics by decomposing the guideway girder acceleration response signal. Finally, based on the measured guideway girder acceleration data, this paper verifies the effectiveness of the damage identification method in guideway girder structure health monitoring, which provides reference and guidance for the future maintenance of the maglev guideway girder.
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"Extraction of Parameters for 90-degree Turn Prediction Using the IMU-based Motion Capture System." In Structural Health Monitoring. Materials Research Forum LLC, 2021. http://dx.doi.org/10.21741/9781644901311-29.

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Abstract. Against the increasing number of single households, we have been proposing the “Biofied Building” that provides a safe, secure, and comfortable living space for a resident using a small home robot. The robot can be used for real-time sensing of the resident’s position and behavior. On the other hand, for further use of the robot, such as choosing a path that does not disturb the resident, a phase to predict the resident’s behavior is necessary. Walking, which is one of the most basic activities of daily living, is often targeted in studies of motion prediction. However, most of them deal with steady walking, even though walking in daily life includes unsteady walking such as the turning motion. Therefore, the purpose of this study was to extract the prediction parameters to construct a prediction method for the unsteady 90-degree turn. In this study, we explored the effective prediction parameters for 90-degree turns based on the measured data using the inertial measurement unit (IMU) based motion capture system aiming to introduce the prediction of unsteady walking to the “Biofied Building”.
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"Comparative Assessment of Distributed Strain Measurement Technologies." In Structural Health Monitoring. Materials Research Forum LLC, 2021. http://dx.doi.org/10.21741/9781644901311-3.

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Abstract. Fibre optic (FO) distributed strain sensing technology has introduced a significant new capability for structural health monitoring (SHM). FO sensing (FOS) offers a simpler installation process with improved resistance to corrosion and electromagnetic interference compared to traditional electrical resistance foil strain gauges (FSGs) which unlike FOS is limited to single point measurements. Previous FO distributed strain measurement studies at the Defence Science and Technology Group showed good correlation between strain measurements derived from a proprietary continuous fibre grating system and FSGs. This paper compares a commercially available, non-proprietary FO sensing system and digital image correlation (DIC) against industry standard FSGs and finite element analysis (FEA) predictions.
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"Estimation Method of Maximum Inter-Story Drift Angle of Wood-Frame House using Two Accelerometers." In Structural Health Monitoring. Materials Research Forum LLC, 2021. http://dx.doi.org/10.21741/9781644901311-21.

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Abstract. In April 2016, Kumamoto earthquake occurred in Japan and many wooden houses collapsed and many lives were lost because of the second and larger main shock. As a result, the need for Structural Health Monitoring (SHM) for wooden houses is receiving increased attention. In the SHM system, maximum inter-story drift angle is considered as the damage index. We assume that the first story of a wooden house will be damaged so that we need only to focus on the response of this first story. Hence, we install accelerometers on the ground floor and the second floor. In order to estimate the inter-story drift angle, we need to integrate the acceleration records twice. The simple double integration will result in erroneous results. Thus, in this paper, we propose the most appropriate integration method to estimate the maximum story drift angle with high accuracy using two accelerometers.
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"Improving the Drive-by Bridge Inspection Performance by Vehicle Parameter Optimization." In Structural Health Monitoring. Materials Research Forum LLC, 2021. http://dx.doi.org/10.21741/9781644901311-23.

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Abstract. Recently, there has been an increasing emphasis in the Indirect bridge health monitoring method employing passing vehicles, which is regarded as one of the most effective approaches in bridge damage screening. However, few researches have been conducted on the Drive-by bridge inspection method using vehicle displacement profile as damage indicator due to the challenges in displacement measurement and result accuracy. This paper proposes an optimization approach of designing the optimum vehicle parameters to improve the performance of vehicle displacement-based Drive-by bridge damage inspection. A generalized Vehicle-Bridge Interaction (VBI) system is built in MATLAB, where the bridge is modelled as a simply supported beam with 10 elements and the passing vehicle is represented as a simplified quarter car. Employing the Monte Carlo methods, the optimum parameters are determined by numerous simulations processed under diverse damage scenarios. Results show that by employing the optimal vehicle parameters, the bridge damages can be detected effectively and accurately for general damage scenarios based on the vehicle displacement profile. The proposed optimization method can contribute to the wide application of vehicle displacement-based Drive-by bridge damage inspection, providing merits in simplicity and visualization.
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"Residual Stress Measurement of Additively Repaired Ti-6Al-4V Using Fibre Optic Sensing." In Structural Health Monitoring. Materials Research Forum LLC, 2021. http://dx.doi.org/10.21741/9781644901311-5.

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Abstract. Laser metal deposition (LMD) is a laser-based additive manufacturing (AM) technology that offers significant advantages in the production and repair of bespoke and valuable parts targeting applications in the aerospace, tooling and medical industries. A significant problem with AM is the development of high residual stresses, deformation and cracking. Advanced sensing technologies can be a useful tool for characterising residual stress (RS) and the structural response of AM aerospace components under fatigue loading conditions. This paper reports on a feasibility study assessing the performance of fibre optic (FO) distributed strain measurement technology to measure surface RS in comparison to traditional electrical resistance strain gauges and the contour method. The results from this study will be used to justify further experimental work.
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"Experimental Research on the Bearing Capacity of the Widening Segment of Precast Small Box Girder." In Structural Health Monitoring. Materials Research Forum LLC, 2021. http://dx.doi.org/10.21741/9781644901311-37.

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Abstract: Widening the existing expressway is an important way to solve the problems like road traffic congestion and level of service declining in the existing highway network. Besides, for the highway with large traffic volume and lack of detour roads, it is inevitable to open to traffic at the same time of construction. Taking a 20 m precast small box girder bridge widening project as the research object, the ABAQUS finite element entity model of the whole bridge and full-scale segment experiment is established, and the boundary conditions and loading force values of the segment model are determined by the similarity analysis. The numerical simulation calculation of the deflection difference between both sides of the joint and the joint reinforcement strain of the full-scale segment test model is performed, and results are compared with the experimental measured values, so as to verify the rationality of the finite element model. Moreover, this research further studies the shear transfer mechanism and bearing capacity of concrete joints with the finite element calculation, and the force-displacement curve of concrete joint loading in whole process is calculated. According to results, the early strength of concrete develops rapidly, while the deflection difference on both sides of the joint drops rapidly, and the deflection difference basically remains unchanged after 8 hours of casting. The shear transfer of joint concrete in the overall analysis model and section test model develops rapidly in the early stage, since then tends to be stable gradually. Results of the bearing capacity test describe that when the bottom reinforcement of the joint reaches the tensile strength and the deflection of the joint increases rapidly, the ultimate bearing capacity could be reached, and the most unfavorable part of the test joint could bear 17 times of 55t wheel load. It is demonstrated that the traffic control scheme of closing and widening the joint adjacent to the lane in the first three days could ensure the reliable casting performance of the concrete joint when the traffic is not interrupted. The research results would provide technical guidance for the design and construction of the same type of bridge.
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"Structural Health Monitoring (SHM) of Space Structures." In Structural Health Monitoring. Materials Research Forum LLC, 2021. http://dx.doi.org/10.21741/9781644901311-42.

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Abstract. Recent years have seen an increased interest in exploring outer space for space tourism or for unmanned or manned planetary explorations. The captivated interests among various stakeholders to employ advanced technologies to meet the requirements of these missions have necessitated the use of newly developed asset monitoring systems to ensure robustness and mission reliability. Although, Non-Destructive Testing (NDT) methods provide sufficient information about the state of the structure at the time of inspection, the need for continuously monitoring the health of the structure throughout the mission has asserted the use of Structure Health Monitoring (SHM) technologies to increase the levels of safety and thereby, reducing the overall mission costs. However, since the implementation of SHM technologies for space missions can be affected by several factors including, environmental conditions, measurement reliability and unavailability of adequate standards, additional considerations on its employability must be reconsidered. This article demonstrates a structured approach to compare the capabilities of some of the most promising SHM technologies in consideration of these influential factors. Additionally, remarks on the feasibility of employing these SHM technologies and the role they could play in such critical missions would be elaborated.
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Reports on the topic "Strukturüberwachung (Structural Health Monitoring)"

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Chattopadhyay, Aditi. Structural Health Monitoring for Heterogeneous Systems. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada465429.

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Chiu, Wing K. Structural Health Monitoring Pertaining to Critical Aircraft Structural Components. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada515997.

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Flynn, Eric B. Design Optimization of Structural Health Monitoring Systems. Office of Scientific and Technical Information (OSTI), 2014. http://dx.doi.org/10.2172/1122908.

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Chang, Fu-Kuo. Structural Health Monitoring: A Summary Report on the First Stanford Workshop on Structural Health Monitoring, September 18-20, 1997. Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada350933.

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Park, G., C. R. Farrar, M. D. Todd, T. Hodgkiss, and T. Rosing. Energy Harvesting for Structural Health Monitoring Sensor Networks. Office of Scientific and Technical Information (OSTI), 2007. http://dx.doi.org/10.2172/902464.

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DOEBLING, S. W., and F. M. HEMEZ. OVERVIEW OF UNCERTAINTY ASSESSMENT FOR STRUCTURAL HEALTH MONITORING. Office of Scientific and Technical Information (OSTI), 2001. http://dx.doi.org/10.2172/783378.

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Masri, Sami F. Analytical and Experimental Studies into Structural Health Monitoring. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada387071.

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Bubacz, Jacob A., Hana T. Chmielewski, Alexander E. Pape, et al. Phase Space Dissimilarity Measures for Structural Health Monitoring. Office of Scientific and Technical Information (OSTI), 2011. http://dx.doi.org/10.2172/1029952.

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Yalisove. Femtosecond Laser Assisted Health Monitoring of Critical Structural Components. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada435785.

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Mahadevan, Sankaran, Vivek Agarwal, Guowei Cai, et al. A Simple Demonstration of Concrete Structural Health Monitoring Framework. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1235197.

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