Relevant bibliographies by topics / Smart structure

Academic literature on the topic 'Smart structure'

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Published: 4 June 2021
Last updated: 14 March 2023

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Journal articles on the topic "Smart structure"

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Hurlebaus, S., and L. Gaul. "Smart structure dynamics." Mechanical Systems and Signal Processing 20, no. 2 (February 2006): 255–81. http://dx.doi.org/10.1016/j.ymssp.2005.08.025.

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Abdullah, Ermira Junita, Dayang Laila Abang Abdul Majid, Lim Gui Yuan, and Nurul Fareha Harun. "Performance Analysis of Smart Composite Structure Using Shape Memory Alloy Actuators." Applied Mechanics and Materials 225 (November 2012): 361–66. http://dx.doi.org/10.4028/www.scientific.net/amm.225.361.

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Smart structures are able to adapt, alter or change in response to external stimuli. The analysis and design of smart structures involves a highly multi-disciplinary effort which includes structures, materials, dynamics, control and design. Shape memory alloy (SMA) is a suitable candidate for actuator in the smart structure design as it can be activated to alter the shape of the structure. This paper proposes a design for smart composite structure suitable for aerospace applications. Finite element method (FEM) was used to analyze a designer structure which is able to meet the requirements for smart structure as well as determining the placement of the actuators within the structure. Due to the nonlinear behavior of the SMA actuator, it is critical to incorporate a feedback control system that is able to accurately morph the structure. A prototype of the smart composite structure was fabricated and its performance was analyzed.
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Lin, Xueqi, Bing Wang, Shuncong Zhong, Hui Chen, and Dianzi Liu. "Smart driving of a bilayered composite tape-spring structure." Journal of Physics: Conference Series 2403, no. 1 (December 1, 2022): 012042. http://dx.doi.org/10.1088/1742-6596/2403/1/012042.

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Abstract Composite tape-springs (CTS) structure has been applied to spatial developable structures due to its bistability. There is growing interest in smart driving of the CTS-based structures because of the limitations on the working environment. Here, we propose a detailed analysis of the smart driving of the CTS structure. This is achieved by using smart materials to develop a bilayered CTS intelligent structure: the smart material forms the active layer to generate stress/strain to drive the structure; the CTS layer acts as a passive layer where its intrinsic bistability, designability further enriches the diversity of intelligent morphing structures. A theoretical analytical model is developed to anticipate the bistability; the stability criteria are then determined to guide the intelligent morphing design. These will facilitate the future smart driving design of aerospace deployable structures.
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KOMATSU, Keiji. "Introduction to Smart Structure." Journal of the Society of Mechanical Engineers 102, no. 963 (1999): 63. http://dx.doi.org/10.1299/jsmemag.102.963_63.

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Gackstatter, Christian G., and Todd A. Story. "Smart structure manufacturing methods." Matériaux & Techniques 82, no. 11 (1994): 13–17. http://dx.doi.org/10.1051/mattech/199482110013.

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Measures, Raymond M. "Smart materials and structure." Journal of the Acoustical Society of America 87, S1 (May 1990): S15. http://dx.doi.org/10.1121/1.2028076.

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TAKEYA, H., T. OZAKI, and N. TAKEDA. "SMS-30: Fabrication of Highly Reliable Advanced Grid Structure(SMS-V: SMART MATERIALS AND STRUCTURES, NDE)." Proceedings of the JSME Materials and Processing Conference (M&P) 2005 (2005): 43–44. http://dx.doi.org/10.1299/jsmeintmp.2005.43_3.

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Leschenko, V. A., and L. Yu Taran. "Smart Manufactory in The Structure of a Smart Enterprise." Control Systems and Computers, no. 5 (289) (December 2020): 42–51. http://dx.doi.org/10.15407/csc.2020.05.042.

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Introduction. The organization of business at specific enterprises must comply with modern economic conditions, use the information, experience and knowledge of employees and managers. Modern production facilities are characterized by a high degree of organization and technological equipment. To manage such industries, new methods are needed using intelligence and automation, which requires more detailed analysis. First of all, this concerns the shop as the main component of the production process, which is the subject of this article. Purpose of the article. To develop a conceptual model of a smart shop as an element of the production structure of a smart enterprise and detail its elements for the purpose of further software implementation. Conclusion. The proposed concept of a smart shop takes into account the needs of modern industries and the modern capabilities of intellectualization and automation tools. It defines the necessary elements for the organization of modern production and its workshops. A detailed description of each element of such a workshop gives a clear idea of ​​the further software implementation of this development using modern technologies. The proposed approach can be used in the development of other components of a smart enterprise, which is relevant at the moment.
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Whittle, M., and W. A. Bullough. "The structure of smart fluids." Nature 358, no. 6385 (July 1992): 373. http://dx.doi.org/10.1038/358373a0.

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Koh, Y. L., N. Rajic, W. K. Chiu, and S. Galea. "Smart structure for composite repair." Composite Structures 47, no. 1-4 (December 1999): 745–52. http://dx.doi.org/10.1016/s0263-8223(00)00048-9.

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Dissertations / Theses on the topic "Smart structure"

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Griffin, Steven F. "Acoustic replication in smart structure using active structural/acoustic control." Diss., Georgia Institute of Technology, 1995. http://hdl.handle.net/1853/13085.

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Iong, Kuoc-Vai. "Smart structure integrity monitoring using transient response." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp04/mq26332.pdf.

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Nwankwo, Cosmas Chidozie. "Smart offshore structure for reliability prediction process." Thesis, Cranfield University, 2013. http://dspace.lib.cranfield.ac.uk/handle/1826/9335.

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A review of the developments within the field of structural reliability theory shows that some gaps still exist in the reliability prediction process and hence there is an urgent desire for improvements such that the estimated structural reliability will be capable of expressing a physical property of the given structure. The current reliability prediction process involves the continuous estimation and use of reliability index as a way of estimating the safety of any given structure. The reliability index β depends on the Probability Density Function (PDF) distribution for the wave force and the corresponding PDF of resistance from respective structural members of the given structure. The PDF for the applied wave force will depend on the PDF of water depth, wave angular velocity and wave direction hence the reliability index as currently practiced is a statistical way of managing uncertainties based on a general probabilistic model. This research on Smart Offshore Structure for Reliability Prediction has proposed the design of a measurement based reliability prediction process as a way of closing the gap on structural reliability prediction process. Structural deflection and damping are some of the measurable properties of an offshore structure and this study aims at suggesting the use of these measurable properties for improvements in structural reliability prediction process. A design case study has shown that a typical offshore structure can deflect to a range of only a few fractions of a millimetre. This implies that if we have a way of monitoring this level of deflection, we could use the results from such measurement for the detection of a structural member failure. This advocated concept is based on the hypothesis that if the original dynamic characteristics of a structure is known, that measurement based modified dynamic properties can be used to determine the onset of failure or failure propagation of the given structure. This technology could reveal the location and magnitude of internal cracks or corrosion effects on any given structure which currently is outside the current probability based approach. A simple economic analysis shows that the recommended process shows a positive net present value and that some $74mln is the Value of Information for any life extension technology that could reveal the possibility of extending the life of a given 10,000bopd production platform from 2025 to 2028.
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Won, Chin Chung. "Active control of smart structure : theory and experiment." Diss., Georgia Institute of Technology, 1990. http://hdl.handle.net/1853/12374.

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Nale, Kumar S. "Multiplexed Control of Smart Structure using Piezoelectric Actuators." Cleveland State University / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=csu1231281641.

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Lellis, Leandro. "An organizational structure analysis for BC Hydro, Power Smart /." Burnaby B.C. : Simon Fraser University, 2006. http://ir.lib.sfu.ca/handle/1892/3523.

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Research Project (M.B.A.) - Simon Fraser University, 2006.
Theses (Faculty of Business Administration) / Simon Fraser University. MBA-MOT Program. Senior supervisor : Dr. Sudheer Gupta. Also issued in digital format and available on the World Wide Web.
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Al-Baradi, Ateyyah. "Nanoscale structure and single molecule diffusion in smart polymeric systems." Thesis, University of Sheffield, 2012. http://etheses.whiterose.ac.uk/14559/.

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Soft nanotechnology requires the development and understanding of smart polymeric systems that respond to small changes in the surrounding environment. This thesis reports on the structure and dynamics in poly(methacn"lic acid) (PMAA) hydrogels and hyperbranched poly(N-isopropyl acrylamide) (HB-PNIPAM) in response to physical and chemical stimuli. Fluorescence correlation spectroscopy (FCS) has been utilized to study the diffusion of single dextran molecules labelled with fluorescein isothiocyanate within a PMAA hydrogel. Diffusion in pure water shows a temperature dependence described by Zimm dynamics, whereas the diffusion coefficient decreases with temperature in the hydrogel for which a model has been developed. Diffusion in PMAA hydrogel has revealed the mesh size dependence on temperature. The effect of pH and salt on the diffusion in PMAA hydrogel has also been considered. Introducing magnetic nanoparticles to hydrogels forms ferrogels the mesh of which is controlled by applied magnetic fields. The swelling, diffusion and release in PMAA ferro gel has been found to follow the same scaling theory developed in this work. Small angle neutron scattering (SANS) has revealed the structural behaviour of HB-PNIPAM as a function of temperature compared to its linear counterpart. These experiments have shown that water is a good solvent for HB-PNIPAM at low temperatures, while increasing the temperature leads to a gradual collapse of these polymers until they form spherical particles with sharp boundaries of the order of 24-40 nm in diameter, depending on the branching degree. This indicates that HB-PNIPAM shows no entanglements either as a function of temperature or branching degree. In contrast, linear PNIPAM showed a network-like behaviour above its collapsing temperature. Neutron spin echo experiments on HB-PNIPAM are described well by the Rouse model for unentangled chains and the self-diffusion of HB-PNIPAl\I by FCS follows Zimm behaviour, which is in agreement with SANS results. These studies have given a better understanding of the nanostructure and dynamics in the investigated polymeric systems, showing their usefulness as delivery systems for many biological and medical applications.
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Phoenix, Austin Allen. "High Precision Thermal Morphing of the Smart Anisogrid Structure for Space-Based Applications." Diss., Virginia Tech, 2016. http://hdl.handle.net/10919/78824.

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To meet the requirements for the next generation of space missions, a paradigm shift is required from current structures that are static, heavy and stiff, to innovative structures that are adaptive, lightweight, versatile, and intelligent. This work proposes the use of a novel morphing structure, the thermally actuated anisogrid morphing boom, to meet the design requirements by making the primary structure actively adapt to the on-orbit environment. The proposed concept achieves the morphing capability by applying local and global thermal gradients and using the resulting thermal strains to introduce a 6 Degree of Freedom (DOF) morphing control. To address the key technical challenges associated with implementing this concept, the work is broken into four sections. First, the capability to develop and reduce large dynamic models using the Data Based Loewner-SVD method is demonstrated. This reduction method provides the computationally efficient dynamic models required for evaluation of the concept and the assessment of a vast number of loading cases. Secondly, a sensitivity analysis based parameter ranking methodology is developed to define parameter importance. A five parameter model correlation effort is used to demonstrate the ability to simplify complex coupled problems. By reducing the parameters to only the most critical, the resulting morphing optimization computation and engineering time is greatly reduced. The third piece builds the foundation for the thermal morphing anisogrid structure by describing the concept, defining the modeling assumptions, evaluating the design space, and building the performance metrics. The final piece takes the parameter ranking methodology, developed in part two, and the modeling capability of part three, and performs a trust-region optimization to define optimal morphing geometric configuration. The resulting geometry, optimized for minimum morphing capability, is evaluated to determine the morphing workspace, the frequency response capability, and the minimum and maximum morphing capability in 6 DOF. This work has demonstrated the potential and provided the technical tools required to model and optimize this novel smart structural concept for a variety of applications.
Ph. D.
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Kakani, Naveen Kumar. "Algorithms for Efficient Utilization of Wireless Bandwidth and to Provide Quality-of-Service in Wireless Networks." Thesis, University of North Texas, 2000. https://digital.library.unt.edu/ark:/67531/metadc2635/.

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This thesis presents algorithms to utilize the wireless bandwidth efficiently and at the same time meet the quality of service (QoS) requirements of the users. In the proposed algorithms we present an adaptive frame structure based upon the airlink frame loss probability and control the admission of call requests into the system based upon the load on the system and the QoS requirements of the incoming call requests. The performance of the proposed algorithms is studied by developing analytical formulations and simulation experiments. Finally we present an admission control algorithm which uses an adaptive delay computation algorithm to compute the queuing delay for each class of traffic and adapts the service rate and the reliability in the estimates based upon the deviation in the expected and obtained performance. We study the performance of the call admission control algorithm by simulation experiments. Simulation results for the adaptive frame structure algorithm show an improvement in the number of users in the system but there is a drop in the system throughput. In spite of the lower throughput the adaptive frame structure algorithm has fewer QoS delay violations. The adaptive call admission control algorithm adapts the call dropping probability of different classes of traffic and optimizes the system performance w.r.t the number of calls dropped and the reliability in meeting the QoS promised when the call is admitted into the system.
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Goulet-Langlois, Gabriel. "Exploring regularity and structure in travel behavior using Smart Card data." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/99546.

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Thesis: S.M. in Transportation, Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, 2015.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 161-166).
As the economic opportunities fostered by large cities become more diverse, the travel patterns of public transport users become more heterogeneous. From personalized customer information, to improved travel demand models, understanding these heterogeneous travel patterns is useful for a number of applications relevant to public transport agencies. This thesis explores how smart card data can be used to analyze and compare the structure of individual travel patterns observed over several weeks. Specifically, the way in which multiple journeys and activities are ordered and combined into repeated patterns, both by the same individual over time and across individuals is evaluated from the journey sequence of each user. The research is structured around three objectives. First, we introduce a representation of individual travel patterns and develop a measure of travel sequence regularity. The mobility of each individual is modeled as a stochastic process with memory, of which each new realization represents an activity or journey. Entropy rate, a measure of randomness in the stochastic process, is used to quantify repetition in the order of journeys and activities. This analysis reveals that the order of events is an important component of regularity not explicitly captured in previous literature. Second, we develop an approach to identify clusters of travel patterns with similar structure considered with respect to public transport usage and activity patterns. Finally, we present an exploratory evaluation of the associations between the identified clusters and socio-demographic characteristics by linking smart card data to an annual travel diary survey. These three objectives are considered in the context of a practical application using the transactions of a sample of approximately 100,000 users collected between February 10th and March 10th 2015 in London.
by Gabriel Goulet-Langlois.
S.M. in Transportation
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Books on the topic "Smart structure"

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C, Kang Z., ed. Functional and smart materials: Structural evolution and structure analysis. New York: Plenum Press, 1998.

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Giles, I. P. Smart structure technology: Report of OSTEMS mission to USA 9th-20th November 1992 : final report. Leatherhead, Surrey, England: Era Technology, 1993.

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Wang, Z. L. Functional and Smart Materials: Structural Evolution and Structure Analysis. Boston, MA: Springer US, 1998.

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China) International Conference on Intelligent Structure and Vibrational Control (2012 Chongqing. Advances in intelligent structure and vibration control: Selected, peer reviewed papers from the International Conference on Intelligent Structure and Vibration Control (ISVC 2012), March 16-18, 2012, Chongqing, China. Stafa-Zurich, Switzerland: Trans Tech Publications, 2012.

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China) International Conference on Intelligent Structure and Vibrational Control (2011 Chongqing. Intelligent structure and vibration control: Selected, peer reviewed papers from the International Conference on Intelligent Structure and Vibration Control (ISVC) 2011, January 14-16, 2011, Chongqing, China. Stafa-Zurich: TTP Trans Tech Publications, 2011.

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McCutcheon, Beth. The structure of the Biblical hermeneutic of James Dick Smart. Toronto: [s.n.], 1988.

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Gulmanelli, Stefano. PopWar: [il netattivismo contro l'ordine costituito : smart mob, wardriver, freenetwork, cypherpunk, hacktivismo ... ]. Milano: Apogeo, 2003.

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Dynamics of smart structures. Hoboken, NJ: John Wiley, 2010.

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International Conference on "Smart Materials, Structures, and Systems" (4th : 2012 : Terme, Italy), ed. Electroactive polymers: Advances in materials and devices : selected, peer reviewed papers from the Symposium C "Electroactive Polymers: Advances in Materials and Devices" of CIMTEC 2012 - 4th International Conference "Smart Materials, Structures and Systems", held in Montecatini Terme, Italy, June 10-14, 2012. Stafa-Zurich: Trans Tech, 2013.

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1939-, Vincenzini P., ed. Adaptive, active and multifunctional smart materials systems: Selected, peer reviewed papers from Symposium A "Adaptive and Multifunctional Smart Materials Systems" of CIMTEC 2012 - 4th International Conference "Smart Materials, Structures and Systems", held in Montecatini Terme, Italy, June 10-14, 2012. Durnten-Zurich: Trans Tech, 2013.

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Book chapters on the topic "Smart structure"

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Suleman, A., and R. Sedaghati. "An Adaptive Truss Structure." In Smart Structures, 55–61. Vienna: Springer Vienna, 2001. http://dx.doi.org/10.1007/978-3-7091-2686-8_5.

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Hubbard, James E. "Smart Structure Systems." In Spatial Filtering for the Control of Smart Structures, 1–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03804-4_1.

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Narkiewicz, Janusz P. "Effectiveness of Smart Structure Concepts to Improve Rotorcraft Behaviour." In Smart Structures, 221–28. Dordrecht: Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-011-4611-1_25.

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Greetham, Bryan. "How to structure your ideas." In Smart Thinking, 155–71. London: Macmillan Education UK, 2016. http://dx.doi.org/10.1007/978-1-137-50209-4_11.

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Sheng, Huanhuan, Xiang Fan, Wei Hu, Xing Liu, and Kai Zhang. "Economic Incentive Structure for Blockchain Network." In Smart Blockchain, 120–28. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-05764-0_13.

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Samad, Wael A., and Elie Azar. "Book Structure." In Smart Cities in the Gulf, 7–9. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2011-8_2.

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Belu, Radian. "Power System Structure and Components." In Smart Grid Fundamentals, 21–72. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9780429174803-2.

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Gaul, L., H. Albrecht, M. Kögl, R. Nitsche, U. Stöbener, and J. Wirnitzer. "Adaptive Structure Projects at the Institute A of Mechanics imbedded in a Collaborative Research Center at the University of Stuttgart." In Smart Structures, 65–73. Vienna: Springer Vienna, 2001. http://dx.doi.org/10.1007/978-3-7091-2686-8_6.

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Wang, Z. L., and Z. C. Kang. "Structure, Bonding, and Properties." In Functional and Smart Materials, 9–69. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5367-0_2.

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Barone, Rossano, and Peter C. H. Cheng. "Structure Determines Assignment Strategies in Diagrammatic Production Scheduling." In Smart Graphics, 77–89. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11536482_7.

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Conference papers on the topic "Smart structure"

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Measures, Raymond M., A. Tino Alavie, Kexing Liu, and Serge Melle. "Optoelectronic smart structure interface: a key development for practical smart structures." In Fibers '92, edited by Richard O. Claus and Robert S. Rogowski. SPIE, 1993. http://dx.doi.org/10.1117/12.141312.

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Jawad, Saad A., and Mohamed Ridha Baccouche. "Frontal Offset Crash: Smart Structure Solution." In ASME 2001 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/imece2001/amd-25454.

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Abstract The majority of real world frontal collisions involve partial overlap of the vehicle front. Excessive, intrusion is usually generated on the impacted side subjecting occupants to higher contact injury risk compared with full frontal collision. The problem encountered by the front end design engineer is to address conflicting requirements of keeping the G-level in the full frontal crash within its permitted values, and minimizing intrusions in offset crash. Traditional solutions to this problem focus on the use of three forked and cross members to ensure continuity of the load path into the passenger compartment. The ideal structure for offset crash is to stiffen the impacted side of the structure, and transfer part of the load to the non-impacted side to even out the load on both sides. Smart hydraulic structure is proposed to meet these ideal requirements. Sample hydraulic “Smart Structures” were designed and tested for feasibility of crash under high-pressure and high-speed impact conditions. This research is attempting to find a solution to the design trade off faced by the designer for offset crash. A novel system of “Smart Structures” is introduced to support the function of the existing passive structure. The proposed “Smart Structures” consist of two independently controlled hydraulic cylinders integrated with the front-end rails. A ten-degrees of freedom, two-dimensional spring-mass-damper simulation model has been developed to study the dynamics of crash between two vehicles in head-on collisions. The model inputs mass, speed of both colliding vehicles, overlap ratio and deformation characteristics of both passive and “smart” structures. The model assumes that the two colliding structures geometrically interact with each other. Full simulations of various scenarios of offset crashes were investigated using “Smart Structures” integrated with the front rail members. Deployable “Smart Structures” have not been considered in this paper as this scenario was covered in previous publication (9). “Smart Structures” proved superior to the traditional passive structures by absorbing more energy for the same crush zone distance, stiffening the impacted side and stiffening the structure at high-speed impacts. The results are reduced intrusion for offset crashes while maintaining the permitted G-level in both full and offset crashes.
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Udd, Eric. "Fiber optic smart structure system for natural structures." In Smart Structures and Materials: Second European Conference, edited by Alaster McDonach, Peter T. Gardiner, Ron S. McEwen, and Brian Culshaw. SPIE, 1994. http://dx.doi.org/10.1117/12.184828.

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Miki, Mitsunori, Masahiro Furuichi, and Yoichiro Watanabe. "Smart distributed minimization of the volume of discrete structures." In 37th Structure, Structural Dynamics and Materials Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1996. http://dx.doi.org/10.2514/6.1996-1584.

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Takeya, H., T. Ozaki, and N. Takeda. "Structural health monitoring of advanced grid structure using multipoint FBG sensors." In Smart Structures and Materials, edited by Edward V. White. SPIE, 2005. http://dx.doi.org/10.1117/12.598759.

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Ruggiero, Eric, Gyuhae Park, Daniel Inman, and John Main. "Smart Materials in Inflatable Structure Applications." In 43rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2002. http://dx.doi.org/10.2514/6.2002-1563.

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Giese, Cindy, Gregory Reich, Mark Hopkins, and Kenneth Griffin. "An investigation of the aeroelastic tailoring for smart structures concept." In 37th Structure, Structural Dynamics and Materials Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1996. http://dx.doi.org/10.2514/6.1996-1575.

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Baucom, Jared N., James P. Thomas, William R. Pogue III, and Muhammad A. Qidwai. "Autophagous structure-power systems." In Smart Structures and Materials, edited by Dimitris C. Lagoudas. SPIE, 2004. http://dx.doi.org/10.1117/12.540913.

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Kavehei, Omid, Said F. Al-Sarawi, Derek Abbott, and Keivan Navi. "High-performance bridge-style full adder structure." In Smart Materials, Nano-and Micro-Smart Systems, edited by Said F. Al-Sarawi, Vijay K. Varadan, Neil Weste, and Kourosh Kalantar-Zadeh. SPIE, 2008. http://dx.doi.org/10.1117/12.813924.

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Bozich, Daniel J., and H. Bruce MacKay. "Smart structure applications using neurocontrollers." In 1993 North American Conference on Smart Structures and Materials, edited by Nesbitt W. Hagood and Gareth J. Knowles. SPIE, 1993. http://dx.doi.org/10.1117/12.152789.

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Reports on the topic "Smart structure"

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Giese, Cindy L., Gregory W. Reich, Mark A. Hopkins, and Kenneth E. Griffin. An Investigation of the Aeroelastic Tailoring for Smart Structure Concepts. Fort Belvoir, VA: Defense Technical Information Center, April 1996. http://dx.doi.org/10.21236/ada399629.

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Inman, Daniel J. Vibration Analysis and Control of an Inflatable Structure Using Smart Materials. Fort Belvoir, VA: Defense Technical Information Center, August 2004. http://dx.doi.org/10.21236/ada425363.

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Fuller, Chris R. Active Structural Acoustic Control and Smart Structures. Fort Belvoir, VA: Defense Technical Information Center, September 1991. http://dx.doi.org/10.21236/ada248341.

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Coulter, John P., Laura I. Burke, and Arkady S. Voloshin. Electrorheological Material Based Smart Structures. Fort Belvoir, VA: Defense Technical Information Center, November 2000. http://dx.doi.org/10.21236/ada384290.

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Gerardi, Tony, James J. Olsen, and Spencer Wu. Panel Discussion on Smart Structures/Materials,. Fort Belvoir, VA: Defense Technical Information Center, November 1991. http://dx.doi.org/10.21236/ada361256.

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Allison, S. W., and T. Mensah. Smart structures for intelligent highways. Final report. Office of Scientific and Technical Information (OSTI), October 1997. http://dx.doi.org/10.2172/10141143.

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Smith, Ralph C. Smart Structures: Model Development and Control Applications. Fort Belvoir, VA: Defense Technical Information Center, January 2001. http://dx.doi.org/10.21236/ada453831.

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Brockett, Roger W., P. S. Krishnaprasad, and John Baillieul. The Design and Control of Smart Structures. Fort Belvoir, VA: Defense Technical Information Center, January 2004. http://dx.doi.org/10.21236/ada419932.

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Sliva, P., N. C. Anheier, K. L. Simmons, and H. A. Undem. Optical-based smart structures for tamper-indicating applications. Office of Scientific and Technical Information (OSTI), November 1996. http://dx.doi.org/10.2172/416990.

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

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