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Relevant bibliographies by topics / Smart structures; Distributed sensors

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Academic literature on the topic 'Smart structures; Distributed sensors'

Author: Grafiati

Published: 4 June 2021

Last updated: 15 February 2022

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Journal articles on the topic "Smart structures; Distributed sensors"

1

Martínez, Fernando, E. Tynan, M. Arregui, G. Obieta, and J. Aurrekoetxea. "Electroactive Pressure Sensors for Smart Structures." Advances in Science and Technology 56 (September 2008): 122–26. http://dx.doi.org/10.4028/www.scientific.net/ast.56.122.

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A hardware-software interface for smart electroactive pressure sensors has been designed with the objective of providing a low power consumption and high performance impact monitoring system, integrated in new smart structures. The interface is specifically designed for its use with distributed pressure sensors based on conductive polymers. Their low cost and flexibility make them suitable for placing on large surfaces. The smart sensor integrates a microprocessor, a radio chip and a complete analog front end based on a period-modulated oscillator. The software developed implements new interface applications for this hardware in TinyOS. The response of the sensor, both loading and unloading, to different impact energies first, and then to different probe stiffness is presented. The behaviour of the sensor to impact is also compared to the response in static, and the different factors affecting the sensor response in both conditions are described. Comparing and contrasting the sensor signal with that of an impact pendulum shows that the sensor is suitable for measuring impact in both flexible and rigid structures.

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Kim, Sang Hoon, Jung Ju Lee, Dae Cheol Seo, and Jeong Ok Lim. "Application of Point and Distributed Optical Fiber Sensors to Health Monitoring of Smart Structures." International Journal of Modern Physics B 17, no. 08n09 (2003): 1368–73. http://dx.doi.org/10.1142/s0217979203019010.

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Point optical fiber sensors are useful in the monitoring of localized structural damage, but a large number of the sensors must be multiplexed for large structure monitoring. On the other hand, distributed optical fiber sensors can obtain a continuous distribution of strain or temperature with one sensing fiber, and they are suitable for the large structure monitoring due to their measurement range reaching tens of kilometers. However, the distributed sensors have the spatial resolution of tens of centimeters to several meters, and they measure averaged strain or temperature. In this paper, the application results of transmission-type extrinsic Fabry-Perot interferometric (TEFPI) optical fiber sensors and Brillouin distributed optical fiber sensors to structural monitoring are presented. The TEFPI optical fiber sensors and Brillouin distributed sensors were applied to the fatigue damage monitoring of an aluminum plate patched with CFRP composite and the deflection monitoring of an alumimum-bending beam, respectively.

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Alwis, Lourdes S. M., Kort Bremer, and Bernhard Roth. "Fiber Optic Sensors Embedded in Textile-Reinforced Concrete for Smart Structural Health Monitoring: A Review." Sensors 21, no. 15 (2021): 4948. http://dx.doi.org/10.3390/s21154948.

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The last decade has seen rapid developments in the areas of carbon fiber technology, additive manufacturing technology, sensor engineering, i.e., wearables, and new structural reinforcement techniques. These developments, although from different areas, have collectively paved way for concrete structures with non-corrosive reinforcement and in-built sensors. Therefore, the purpose of this effort is to bridge the gap between civil engineering and sensor engineering communities through an overview on the up-to-date technological advances in both sectors, with a special focus on textile reinforced concrete embedded with fiber optic sensors. The introduction section highlights the importance of reducing the carbon footprint resulting from the building industry and how this could be effectively achieved by the use of state-of-the-art reinforcement techniques. Added to these benefits would be the implementations on infrastructure monitoring for the safe operation of structures through their entire lifespan by utilizing sensors, specifically, fiber optic sensors. The paper presents an extensive description on fiber optic sensor engineering that enables the incorporation of sensors into the reinforcement mechanism of a structure at its manufacturing stage, enabling effective monitoring and a wider range of capabilities when compared to conventional means of structural health monitoring. In future, these developments, when combined with artificial intelligence concepts, will lead to distributed sensor networks for smart monitoring applications, particularly enabling such distributed networks to be implemented/embedded at their manufacturing stage.

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Murayama, Hideaki, Kazuro Kageyama, Isamu Ohsawa, Makoto Kanai, Kiyhoshi Uzawa, and Tsuyoshi Matsuo. "Development of Smart Composite Panel with Optical Fiber Sensors." Key Engineering Materials 297-300 (November 2005): 659–64. http://dx.doi.org/10.4028/www.scientific.net/kem.297-300.659.

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We have developed a novel fiber-optic vibration sensors and applied commercially available strain and temperature sensors to health monitoring of composite structures. In this study, we constructed an optical fiber network integrating four types of optical fiber sensor into a carbon reinforced plastic (CFRP) panel. These four sensors were the vibration sensor developed by our laboratory, two distributed sensors based on Brillouin and Raman backscattering and Fiber Bragg Grating (FBG) sensors. By dealing the data obtained from the measurement systems corresponding to these four sensors, strain/stress and temperature distributions throughout the panel can be monitored. Vibration and elastic waves transmitting on the panel are also detected at several sensing points. Furthermore, we will be able to determine damage locations and modes by processing the wave signals. To make the panel with the optical fiber sensor network more sensitive and smarter, we are developing some techniques that can improve the performance of the sensors and can assess the structural integrity by analyzing measurement results. In this paper, the development of the first generation of our smart composite panel with the optical fiber sensors is described and the techniques making the panel more sensitive and smarter are also described.

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Tzou, H. S., and C. I. Tseng. "Distributed Modal Identification and Vibration Control of Continua: Piezoelectric Finite Element Formulation and Analysis." Journal of Dynamic Systems, Measurement, and Control 113, no. 3 (1991): 500–505. http://dx.doi.org/10.1115/1.2896438.

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“Smart” continua with integrated sensor/actuator for structural identification and control have drawn much attention in recent years due to the rapid development of high-performance “smart” structures. The continua are distributed and flexible in nature. Thus, distributed dynamic measurement and active vibration control are of importance to their high-demanding performance. In this paper, continua (shells or plates) integrated with distributed piezoelectric sensors and actuators are studied using a finite element technique. A new piezoelectric finite element with internal degrees of freedom is derived. Two control algorithms, namely, constant gain feedback control and Lyapunov control, are implemented. Structural identification and control of a plate model with distributed piezoelectric sensor/actuator is studied. Distributed modal voltage and control effectiveness of mono and biaxially polarized piezoelectric actuators are evaluated.

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Meoni, Andrea, Antonella D’Alessandro, Massimo Mancinelli, and Filippo Ubertini. "A Multichannel Strain Measurement Technique for Nanomodified Smart Cement-Based Sensors in Reinforced Concrete Structures." Sensors 21, no. 16 (2021): 5633. http://dx.doi.org/10.3390/s21165633.

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Nanomodified smart cement-based sensors are an emerging self-sensing technology for the structural health monitoring (SHM) of reinforced concrete (RC) structures. To date, several literature works demonstrated their strain-sensing capabilities, which make them suited for damage detection and localization. Despite the most recent technological improvements, a tailored measurement technique allowing feasible field implementations of smart cement-based sensors to concrete structures is still missing. In this regard, this paper proposes a multichannel measurement technique for retrieving strains from smart cement-based sensors embedded in RC structures using a distributed biphasic input. The experiments performed for its validation include the investigation on an RC beam with seven embedded sensors subjected to different types of static loading and a long-term monitoring application on an RC plate. Results demonstrate that the proposed technique is effective for retrieving time-stable simultaneous strain measurements from smart cement-based sensors, as well as for aiding the identification of the changes in their electrical outputs due to the influence of environmental effects variable over time. Accordingly, the proposed multichannel strain measurement technique represents a promising approach for performing feasible field implementations of smart cement-based sensors to concrete structures.

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KOSAKA, Tatsuro, and Nobuo TAKEDA. "Sensitivity Analysis of Modal Domain Distributed Fiber Optic Sensors for Smart Structures." Transactions of the Japan Society of Mechanical Engineers Series C 64, no. 618 (1998): 565–70. http://dx.doi.org/10.1299/kikaic.64.565.

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Chen, Xiyuan, Tanay Topac, Wyatt Smith, Purim Ladpli, Cheng Liu, and Fu-Kuo Chang. "Characterization of Distributed Microfabricated Strain Gauges on Stretchable Sensor Networks for Structural Applications." Sensors 18, no. 10 (2018): 3260. http://dx.doi.org/10.3390/s18103260.

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Smart structures mimic biological systems by using thousands of sensors serving as a nervous system analog. One approach to give structures this sensing ability is to develop a multifunctional sensor network. Previous work has demonstrated stretchable sensor networks consisting of temperature sensors and impact detectors for monitoring external environments and interacting with other objects. The objective of this work is to develop distributed, robust and reliable strain gauges for obtaining the strain distribution of a designated region on the target structure. Here, we report a stretchable network that has 27 rosette strain gauges, 6 resistive temperature devices and 8 piezoelectric transducers symmetrically distributed over an area of 150 × 150 mm to map and quantify multiple physical stimuli with a spatial resolution of 2.5 × 2.5 mm. We performed computational modeling of the network stretching process to improve measurement accuracy and conducted experimental characterizations of the microfabricated strain gauges to verify their gauge factor and temperature coefficient. Collectively, the results represent a robust and reliable sensing system that is able to generate a distributed strain profile of a common structure. The reported strain gauge network may find a wide range of applications in morphing wings, smart buildings, autonomous cars and intelligent robots.

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Wu, Bin-Yi, Xian-Sheng Qin, Shun-Qi Zhang, Jing Bai, Ting Xue, and Rüdiger Schmidt. "Unknown disturbance estimation for vibration systems using distributed piezoelectric sensors." Mechanics & Industry 19, no. 5 (2018): 506. http://dx.doi.org/10.1051/meca/2018042.

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Vibration is usually caused by external disturbances, which may lead to structural damage. Vibrations can be significantly suppressed by taking disturbances into account. However, in many cases disturbances are unknown or difficult to be measured directly. In order to estimate external unknown disturbances, this article develops a proportional-integral (PI) disturbance observer with measurement noises for smart structures using multiple distributed piezoelectric sensors. For simulation purpose, a dynamic finite element model of piezoelectric bonded smart structure is presented. This disturbance observation method is validated by estimating various kinds of unknown disturbances using piezoelectric measurements. Furthermore, the measurement numbers and the position of measurements are investigated.

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Jha, Akhilesh K., and Daniel J. Inman. "Sliding Mode Control of a Gossamer Structure Using Smart Materials." Journal of Vibration and Control 10, no. 8 (2004): 1199–220. http://dx.doi.org/10.1177/1077546304044796.

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Gossamer structures have been a subject of renewed interest for space applications because of their low weights, on-orbit deploying capabilities, and minimal stowage volumes. In this study, vibration suppression of an inflated structure using piezoelectric actuators and sensors has been attempted. These actuators and sensors can be suitably used for gossamer structures since they can conform to curved surfaces and provide distributed actuation and sensing capabilities. Using the natural frequencies and mode shapes of the system (structure, actuators, and sensors), a state-space model is derived. For designing a robust vibration controller, we used a sliding mode technique. The derivations of the sliding model controller and observer are presented in details. Finally, by means of numerical analysis, the method was demonstrated for an inflated torus considering Macro-Fiber Composite (MFC™) as actuators and Polyvinylidene Fluoride (PVDF) as sensors. The simulation studies show that the piezoelectric actuators and sensors are suitable for vibration suppression of an inflatable torus. The robustness properties of the controller and observer against the parameter uncertainty and disturbances are also studied.

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Dissertations / Theses on the topic "Smart structures; Distributed sensors"

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Johnson, Martin Eric. "Active control of sound transmission." Thesis, University of Southampton, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.243189.

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Myers, Robert L. "SMART SENSORS VS DISTRIBUTED DATA ACQUISITION." International Foundation for Telemetering, 2001. http://hdl.handle.net/10150/606371.

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International Telemetering Conference Proceedings / October 22-25, 2001 / Riviera Hotel and Convention Center, Las Vegas, Nevada<br>Distributed processing is coming to data acquisition. The desire for smart sensors that can preprocess data, is growing. Making sensors themselves intelligent will reverse the historic trend toward smaller and cheaper sensors. Incorporating current sensor technology into data acquisition nodes in a network will create a distributed data acquisition, DAQ, environment that can acquire data from around the world over the Internet. The future is now.

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Hadjiprocopiou, Marios. "Fibre optic sensors for smart structures." Thesis, University of Surrey, 1997. http://epubs.surrey.ac.uk/842922/.

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"Smart Structures" or "Smart Skins" will require structurally integrated sensing systems that can operate in practical situations. Optical sensing techniques are receiving considerable attention for the monitoring of such systems. Single ended polarimetric sensors were utilized with a large dynamic range for strain measurements as surface mounted and embedded strain sensors in composite materials (glass fibre and carbon fibre reinforced polymers). They were also used to monitor the strain and the formation of microcracks in the glue line of carbon fibre reinforced polymer (CFRP) concrete beams. The intrinsic Fabry-Perot was also used as a surface mounted sensor to monitor axial strain of GFRP coupons. Finite Element (FE) modelling was used in order to investigate the stress/strain distributions within the composite material and the embedded optical fibre. The modelling results show excellent agreement with the experimental results and suggest that the soft acrylate coating is debonding, thus reducing the sensor's dynamic range. Actuators and/or Sensors embedded into a host material will disrupt the physical properties of the host. Finite element analysis was used to determine and to minimise the stress concentrations which arise in a "Smart" material system due to the embedded optical fibre sensor. A parametric study was undertaken to determine the theoretical mechanical and thermal properties of the interface coating that minimises the disruption of the polymer composite host material properties due to the optical fibre inclusion. The effects of transverse tensile and thermal loading were studied, and also the residual thermal stress concentrations due to the manufacturing process were taken into consideration. The stress concentrations in the composite host are affected by the dimensions, mechanical and thermal properties of the interface coating. The results show that with careful selection of the interface coating properties die stress concentrations in the host material caused by the optical fibre inclusion can be reduced and be similar to those of the pure host material.

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Dennerlein, Jürgen. "Broadband vibration control of spatially distributed smart structures." Düsseldorf VDI-Verl, 2008. http://d-nb.info/993722431/04.

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Miller, Scott E. (Scott Edward). "Distributed parameter active vibration control of smart structures." Thesis, Massachusetts Institute of Technology, 1988. http://hdl.handle.net/1721.1/33473.

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Riddle, Brian K. "General purpose, data driven, extensible, computer interface for smart sensors." Thesis, Georgia Institute of Technology, 1994. http://hdl.handle.net/1853/18920.

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Lee, Young-Sup. "Active control of smart structures using distributed piezoelectric transducers." Thesis, University of Southampton, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.324821.

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Kahn, Mohammed Tariq Ekeramodien. "Miniaturised dedicated application opto-electronic sensors in the evolution of smart systems." Thesis, Peninsula Technikon, 2002. http://hdl.handle.net/20.500.11838/1196.

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Thesis (DTech (Electrical Engineering))--Peninsula Technikon, Cape Town, 2002<br>In the last decade, the South Amcan Electricity Supply Commission would have had their ability to serve an ever demanding public severely tested. With the dilemma of providing electricity supply through hazardous environmental conditions, and with prospects of supplying power even beyond South Afiican borders, the need for a comprehensive damage and power delivery assessment strategy becomes all the more relevant. The rapid growth being made in the evolution of so called "intelligent" structures, with inherent sensor, actuator and control mechanisms built in can have direct influence on a power distribution network. At least in the foreseeable future, the impact ofphotonic sensors with inherent miniaturization, a foremost candidate in Smart System technology, can play a vital role in damage assessment of a potentially large network such as that found in the supply ofelectricity. Smart systems are nonliving systems that integrate the functions of sensing, actuation, logic and control, to respond adaptively to changes in their condition or environment to which they are exposed, in a useful and usually repetitive manner. Sensors are a fundamental part of the evolution of such systems and form the basis for the topic of this dissertation. The use ofoptical fiber sensors is increasing widely mainly due to their (a) miniature size, (b) remote signal processing ability, and (c) multiplexing capabilities. Because of the above features a variety of optical fiber sensing techniques has evolved over the years having potential for a myriad of applications. In this work a systems model and equations was developed for modeling the propagation of light in a optical waveguide, in order to study a Fabry Perrot sensor topology for application as a miniaturised sensor in a new type of smart structure, namely a smart electrical power system.

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Berglin, Lena. "Interactive Textile Structures : Creating Multifunctional Textiles based on Smart Materials." Doctoral thesis, Högskolan i Borås, Institutionen Textilhögskolan, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-3490.

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Textiles of today are materials with applications in almost all our activities. We wear clothes all the time and we are surrounded with textiles in almost all our environments. The integration of multifunctional values in such a common material has become a special area of interest in recent years. Smart Textile represents the next generation of textiles anticipated for use in several fashion, furnishing and technical textile applications. The term smart is used to refer to materials that sense and respond in a pre-defined manner to environmental stimuli. The degree of smartness varies and it is possible to enhance the intelligence further by combining these materials with a controlling unit, for example a microprocessor. As an interdisciplinary area Smart Textile includes design spaces from several areas; the textile design space, the information technology design space and the design space of material science. This thesis addresses how Smart Textiles affect the textile design space; how the introduction of smart materials and information technology affects the creation of future textile products. The aim is to explore the convergence between textiles, smart materials and information technology and to contribute to providing a basis for future research in this area. The research method is based on a series of interlinked experiments designed through the research questions and the research objects. The experiments are separated into two different sections: interactive textile structures and health monitoring. The result is a series of basic methods for how interactive textile structures are created and a general system for health monitoring. Furthermore the result consists of a new design space, advanced textile design. In advanced textile design the focus is set on the relation between the different natures of a textile object: its physical structure and its structure in the context of design and use.

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Attarian, Vatche. "Long-term structural health monitoring of plate-like structures using distributed guided wave sensors." Thesis, Imperial College London, 2013. http://hdl.handle.net/10044/1/24840.

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Aircraft, containers, and storage tanks contain plate-like structures that are safety critical. The structures often undergo non-destructive inspections. The inspection frequency tends to be over-conservatively high, and it may be possible to reduce the intervals between inspections to realize cost savings. This goal can possibly be realized by automated structural health monitoring (SHM) of structures using sparse active guided wave sensor arrays. Guided waves are sensitive to small defects and can propagate long distances across feature dense plates. Thus, a guided wave SHM system that enables reliable detection of critical defects or monitoring of their growth can potentially be used to reduce the frequency of inspections for real structures. Industrial guided wave SHM systems must be reliable throughout prolonged exposure to temperature, humidity, and loading changes encountered in operation. Research at Imperial College shows that temperature compensation and subtraction between monitored guided wave signals and baselines acquired from healthy plates enables detection of 1.5% reflection change over areas ~1 m^2 in the presence of thermal swings and uniform liquid layers. These results and findings from scattering studies indicate it may be possible to detect reflections from hole type defects and notches affecting structures during their operation. An issue is that demonstrations of SHM system capabilities have only been shown in controlled laboratory tests within short periods following baseline acquisition. There is concern whether sustained exposure to service conditions will subject transducer elements to irreversible changes and introduce variability in baseline subtraction results that would mask signals due to slowly growing damage. This thesis studies the reliability of guided wave SHM for monitoring plate-like structures over longer time periods. The theoretical characteristics of the fundamental Lamb waves and their use to monitor and detect damage are reviewed. Strategies for sensing and signal processing are described alongside experimental validation of their performance. The effectiveness of the SHM system is tested in experiments where damage-free plates are exposed to British weather as well as thermal variations in an environmental chamber. The monitoring capabilities of bonded piezoelectric sensors are quantified and compared to the performance achieved using electromagnetic acoustic transducers. Experimental results and findings from simulations of bonded piezoelectric transduction establish that performances achieved with bonded sensors degrade due to variations in the properties of adhesives used to attach sensors to plates. EMATs are relatively stable and capable of enabling detection of 1.5% reflection change at points away from the edges of plates after sustained exposure to thermal cycling loads.

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Books on the topic "Smart structures; Distributed sensors"

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Melashvili, Yuri. Controlled structures with electromechanical and fiber-optical sensors. Nova Science Publishers, 2008.

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Tomizuka, M. Sensors and smart structures technologies for civil, mechanical, and aerospace systems 2011: 7-10 March 2011, San Diego, California, United States. SPIE, 2011.

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Tomizuka, M. Sensors and smart structures technologies for civil, mechanical, and aerospace systems 2010: 8-11 March 2010, San Diego, California, United States. Edited by SPIE (Society), American Society of Mechanical Engineers, Intelligent Materials Forum (Mitō Kagaku Gijutsu Kyōkai), Jet Propulsion Laboratory (U.S.), and National Science Foundation (U.S.). SPIE, 2010.

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Hubbard, James E. Spatial filtering for the control of smart structures: An Introduction. Springer, 2010.

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Tomizuka, Masayoshi. Smart Structures And Materials 2005: Sensors And Smart Structures Technologies for Civil Mechanical,... (Proceedings of SPIE). Society of Photo Optical, 2005.

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Engineers, Society of Automotive, and International Scientific Conference on "Smart Mechanical Systems--Adaptronics" (2nd : 1997 : Otto von Guericke University of Magdeburg), eds. Smart mechanical systems--adaptronics. Society of Automotive Engineers, 1998.

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Lynch, Jerome. Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2017. SPIE, 2017.

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Lynch, Jerome P. Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2016. SPIE, 2016.

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Lynch, Jerome P. Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2015. SPIE, 2015.

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M, Tomizuka, Yun Chung-Bang, Giurgiutiu Victor, et al., eds. Sensors and smart structures, technologies for civil, mechanical, and aerospace systems: 19-22 March, 2007, San Diego, California, USA. SPIE, 2007.

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Book chapters on the topic "Smart structures; Distributed sensors"

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Albrecht, Hans, Uwe Stöbener, and Lothar Gaul. "Sensor and actuator design methods in active vibration control for distributed parameter structures." In Smart Structures. Springer Vienna, 2001. http://dx.doi.org/10.1007/978-3-7091-2686-8_9.

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Huang, Yueh-Min, and Ying-Xun Lai. "Distributed Energy Management System within Residential Sensor-Based Heterogeneous Network Structure." In Smart Sensors, Measurement and Instrumentation. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36365-8_2.

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Preumont, A., P. De Man, A. François, N. Loix, and K. Henrioulle. "Spatial Filtering with Discrete Array Sensors and Distributed PVDF Films." In Advances in Smart Technologies in Structural Engineering. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-05615-8_5.

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Saito, Nozomi, Takashi Yari, Kazuo Hotate, et al. "Use of Distributed Sensor Networks with Optical Fibers (Brillouin Scattering) for SHM of Composite Structures." In Structural Health Monitoring Technologies and Next-Generation Smart Composite Structures. CRC Press, 2016. http://dx.doi.org/10.1201/9781315373492-3.

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Guemes, A. J. "Fiber Optics Sensors Systems." In Smart Structures. Springer Vienna, 2001. http://dx.doi.org/10.1007/978-3-7091-2686-8_23.

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Xu, You-Lin, and Jia He. "Sensors and sensory systems." In Smart Civil Structures. CRC Press, 2017. http://dx.doi.org/10.1201/9781315368917-4.

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Udd, Eric. "Fiber Optic Smart Structures." In Fiber Optic Sensors. John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9781118014103.ch14.

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Brignell, John E., Neil M. White, and Wolfgang R. Habel. "Sensors in Adaptronics." In Adaptronics and Smart Structures. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-662-03819-2_8.

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Guemes, A. J. "Fiber Optic Sensors for Resin Flow and Composite Cure Monitoring." In Smart Structures. Springer Vienna, 2001. http://dx.doi.org/10.1007/978-3-7091-2686-8_26.

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Xu, You-Lin, and Jia He. "Collective placement of control devices and sensors." In Smart Civil Structures. CRC Press, 2017. http://dx.doi.org/10.1201/9781315368917-13.

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Conference papers on the topic "Smart structures; Distributed sensors"

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Yang, Caiqian, Zhishen Wu, and Lieping Ye. "Distributed sensing of RC beams with HCFRP sensors." In Smart Structures and Materials, edited by Masayoshi Tomizuka. SPIE, 2005. http://dx.doi.org/10.1117/12.606364.

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Inaudi, Daniele, and Branko Glisic. "Reliability and field testing of distributed strain and temperature sensors." In Smart Structures and Materials, edited by Daniele Inaudi, Wolfgang Ecke, Brian Culshaw, Kara J. Peters, and Eric Udd. SPIE, 2006. http://dx.doi.org/10.1117/12.661088.

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Greene, Gary G., Abdeldjelil Belarbi, Genda Chen, and Ryan McDaniel. "Distributed coaxial cable crack sensors for crack mapping in RC." In Smart Structures and Materials, edited by Masayoshi Tomizuka. SPIE, 2005. http://dx.doi.org/10.1117/12.600143.

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Hyland, David C., and James A. King. "Decentralized adaptive neural control for distributed mesoscale actuators and sensors." In Smart Structures & Materials '95, edited by Vasundara V. Varadan. SPIE, 1995. http://dx.doi.org/10.1117/12.208843.

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Volanthen, Mark, Harald Geiger, and John P. Dakin. "Distributed grating sensors: an alternative to multiplexed grating arrays?" In Smart Structures and Materials '97, edited by Richard O. Claus. SPIE, 1997. http://dx.doi.org/10.1117/12.275757.

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Wilcox, Paul D., George Konstantinidis, and Bruce W. Drinkwater. "Structural health monitoring using sparse distributed networks of guided wave sensors." In Smart Structures and Materials, edited by Yuji Matsuzaki. SPIE, 2006. http://dx.doi.org/10.1117/12.658504.

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Inaudi, Daniele, and Branko Glisic. "Integration of distributed strain and temperature sensors in composite coiled tubing." In Smart Structures and Materials, edited by Daniele Inaudi, Wolfgang Ecke, Brian Culshaw, Kara J. Peters, and Eric Udd. SPIE, 2006. http://dx.doi.org/10.1117/12.661086.

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Butler, Robert K., and Vittal S. Rao. "Identification and control of two-dimensional smart structures using distributed sensors." In Smart Structures & Materials '95, edited by Vasundara V. Varadan. SPIE, 1995. http://dx.doi.org/10.1117/12.208878.

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Pines, Darryll J. "Hybrid distributed modal/wave sensors for structural control." In 1996 Symposium on Smart Structures and Materials, edited by Inderjit Chopra. SPIE, 1996. http://dx.doi.org/10.1117/12.239048.

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Kim, Hong-Il, Lae-Hyong Kang, and Jae-Hung Han. "Real-Time Structure Shape Estimation Using Distributed Fiber Bragg Grating Sensors." In ASME 2009 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. ASMEDC, 2009. http://dx.doi.org/10.1115/smasis2009-1261.

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Abstract:

One of the emerging issues in lightweight aerospace structures is the real-time estimation of the structural shape changes. In order to reconstruct the structure shape based on the measured strain data at multiple points, the displacement-strain transformation (DST) method has been used. In this study, simulation for a 1-D beam model was performed to verify the DST method. Bending displacements for various excitation conditions were successfully estimated using the simulated strain signals. Strain sensor positions were optimized by the minimization of the condition number of the DST matrix for the 1-D beam. We further expanded the shape estimation method to rotating beams. A rotating flexible beam experimental model was constructed and a numerical simulation model was also prepared. Multiplexed four FBG sensors were fabricated and attached to the rotating beam structures to measure strains at four different locations. The experimental device has an optical rotary coupler, and the sensor signals are transmitted through the optical rotary coupler. Bending displacements were estimated based on the FBG signals and compared with directly measured displacement data using photographs taken by a high-speed camera. This shows the validity of the proposed shape estimation technique based on DST matrix for rotating beam structures.

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Reports on the topic "Smart structures; Distributed sensors"

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Saligrama, Venkatesh. Smart Distributed Sensor Fields: Algorithms for Tactical Sensors. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada594998.

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Krishnaswamy, Sridhar, and Jan D. Achenbach. Fiber-Optic Ultrasound Sensors for Smart Structures Applications. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada376112.

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