Relevant bibliographies by topics / Structural interaction

Contents

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

Academic literature on the topic 'Structural interaction'

Author: Grafiati
Published: 4 June 2021
Last updated: 9 June 2025

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Journal articles on the topic "Structural interaction"

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JOHNSTON, RICHARD D., and GEOFFREY W. BARTON. "Structural interaction analysis." International Journal of Control 41, no. 4 (April 1985): 1005–13. http://dx.doi.org/10.1080/0020718508961179.

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Pooler, James. "Structural Spatial Interaction∗." Professional Geographer 45, no. 3 (August 1993): 297–305. http://dx.doi.org/10.1111/j.0033-0124.1993.00297.x.

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Gursoy, Attila, Ozlem Keskin, and Ruth Nussinov. "Topological properties of protein interaction networks from a structural perspective." Biochemical Society Transactions 36, no. 6 (November 19, 2008): 1398–403. http://dx.doi.org/10.1042/bst0361398.

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Protein–protein interactions are usually shown as interaction networks (graphs), where the proteins are represented as nodes and the connections between the interacting proteins are shown as edges. The graph abstraction of protein interactions is crucial for understanding the global behaviour of the network. In this mini review, we summarize basic graph topological properties, such as node degree and betweenness, and their relation to essentiality and modularity of protein interactions. The classification of hub proteins into date and party hubs with distinct properties has significant implications for relating topological properties to the behaviour of the network. We emphasize that the integration of protein interface structure into interaction graph models provides a better explanation of hub proteins, and strengthens the relationship between the role of the hubs in the cell and their topological properties.
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ZHU, ZHENGWEI, ANDREY TOVCHIGRECHKO, TATIANA BARONOVA, YING GAO, DOMINIQUE DOUGUET, NICHOLAS O'TOOLE, and ILYA A. VAKSER. "LARGE-SCALE STRUCTURAL MODELING OF PROTEIN COMPLEXES AT LOW RESOLUTION." Journal of Bioinformatics and Computational Biology 06, no. 04 (August 2008): 789–810. http://dx.doi.org/10.1142/s0219720008003679.

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Structural aspects of protein–protein interactions provided by large-scale, genome-wide studies are essential for the description of life processes at the molecular level. A methodology is developed that applies the protein docking approach (GRAMM), based on the knowledge of experimentally determined protein–protein structures (DOCKGROUND resource) and properties of intermolecular energy landscapes, to genome-wide systems of protein interactions. The full sequence-to-structure-of-complex modeling pipeline is implemented in the Genome Wide Docking Database (GWIDD) resource. Protein interaction data are imported to GWIDD from external datasets of experimentally determined interaction networks. Essential information is extracted and unified to form the GWIDD database. Structures of individual interacting proteins in the database are retrieved (if available) or modeled, and protein complex structures are predicted by the docking program. All protein sequence, structure, and docking information is conveniently accessible through a Web interface.
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Hakes, Luke, David L. Robertson, Stephen G. Oliver, and Simon C. Lovell. "Protein Interactions from Complexes: A Structural Perspective." Comparative and Functional Genomics 2007 (2007): 1–5. http://dx.doi.org/10.1155/2007/49356.

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By combining crystallographic information with protein-interaction data obtained through traditional experimental means, this paper determines the most appropriate method for generating protein-interaction networks that incorporate data derived from protein complexes. We propose that a combined method should be considered; in which complexes composed of five chains or less are decomposed using the matrix model, whereas the spoke model is used to derive pairwise interactions for those with six chains or more. The results presented here should improve the accuracy and relevance of studies investigating the topology of protein-interaction networks.
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Oke, S. A., and M. K. O. Ayomoh. "The hybrid structural interaction matrix." International Journal of Quality & Reliability Management 22, no. 6 (August 2005): 607–25. http://dx.doi.org/10.1108/02656710510604917.

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Guven-Maiorov, Emine, Chung-Jung Tsai, and Ruth Nussinov. "Structural host-microbiota interaction networks." PLOS Computational Biology 13, no. 10 (October 12, 2017): e1005579. http://dx.doi.org/10.1371/journal.pcbi.1005579.

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Anton, M., and F. Casciati. "Structural control against failure interaction." Journal of Structural Control 5, no. 1 (June 1998): 63–73. http://dx.doi.org/10.1002/stc.4300050104.

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Drobakha, Hr, I. Neklonskyi, A. Kateshchenok, V. Sobyna, D. Taraduda, L. Borysova, and I. Lysachenko. "Structural and functional simulation of interaction in the field of aviation safety by using matrices." Archives of Materials Science and Engineering 2, no. 95 (February 1, 2019): 74–84. http://dx.doi.org/10.5604/01.3001.0013.1734.

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Purpose: The conducted research was aimed at constructing a structural and functional model for the interaction of bodies providing aviation safety during crisis management. Design/methodology/approach: The methods of mathematical simulation and the graph theory, the methods comparison and formalization have been applied to study the process of interaction between the bodies assuring aviation safety. Using methods of the linear algebra allowed constructing a mathematical model for the functional structure of the interaction process that contains description of this process by the main methods of interaction. Findings: It has been proved that the interaction process has a certain functional properties that reflect the functional relations between the modes of violator actions, the modes of using the response forces and the modes of interaction. A structural and functional model of interaction in semantic, algebraic forms and in the form of graphs has been created. using typical operations with incidence matrices, the possibility of obtaining the physical interpretation of the simulation results within the introduced algebra of functional structure models has been justified. Research limitations/implications: Discusses interactions between the bodies that assure aviation safety and at the same time, the possibility of a crisis situation is taken into account. Practical implications: The developed models allow reflecting the current state of the functional system and the elements of the process of interaction rather completely. It makes a structural and functional analysis of interaction possible and allows defining the priority directions of its organization, simulating the options and methods of interaction in solving relevant tasks by the bodies that assure aviation safety. Originality/value: That allowed not only describing the formal relations between the methods of interaction and interacting units, between the interacting units and the modes of violator actions, but also considering the influence of the interaction process on the current state of the functional system.
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DeBlasio, Stacy L., Juan D. Chavez, Mariko M. Alexander, John Ramsey, Jimmy K. Eng, Jaclyn Mahoney, Stewart M. Gray, James E. Bruce, and Michelle Cilia. "Visualization of Host-Polerovirus Interaction Topologies Using Protein Interaction Reporter Technology." Journal of Virology 90, no. 4 (December 9, 2015): 1973–87. http://dx.doi.org/10.1128/jvi.01706-15.

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ABSTRACTDemonstrating direct interactions between host and virus proteins during infection is a major goal and challenge for the field of virology. Most protein interactions are not binary or easily amenable to structural determination. Using infectious preparations of a polerovirus (Potato leafroll virus[PLRV]) and protein interaction reporter (PIR), a revolutionary technology that couples a mass spectrometric-cleavable chemical cross-linker with high-resolution mass spectrometry, we provide the first report of a host-pathogen protein interaction network that includes data-derived, topological features for every cross-linked site that was identified. We show that PLRV virions have hot spots of protein interaction and multifunctional surface topologies, revealing how these plant viruses maximize their use of binding interfaces. Modeling data, guided by cross-linking constraints, suggest asymmetric packing of the major capsid protein in the virion, which supports previous epitope mapping studies. Protein interaction topologies are conserved with other species in theLuteoviridaeand with unrelated viruses in theHerpesviridaeandAdenoviridae. Functional analysis of three PLRV-interacting host proteinsin plantausing a reverse-genetics approach revealed a complex, molecular tug-of-war between host and virus. Structural mimicry and diversifying selection—hallmarks of host-pathogen interactions—were identified within host and viral binding interfaces predicted by our models. These results illuminate the functional diversity of the PLRV-host protein interaction network and demonstrate the usefulness of PIR technology for precision mapping of functional host-pathogen protein interaction topologies.IMPORTANCEThe exterior shape of a plant virus and its interacting host and insect vector proteins determine whether a virus will be transmitted by an insect or infect a specific host. Gaining this information is difficult and requires years of experimentation. We used protein interaction reporter (PIR) technology to illustrate how viruses exploit host proteins during plant infection. PIR technology enabled our team to precisely describe the sites of functional virus-virus, virus-host, and host-host protein interactions using a mass spectrometry analysis that takes just a few hours. Applications of PIR technology in host-pathogen interactions will enable researchers studying recalcitrant pathogens, such as animal pathogens where host proteins are incorporated directly into the infectious agents, to investigate how proteins interact during infection and transmission as well as develop new tools for interdiction and therapy.
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Dissertations / Theses on the topic "Structural interaction"

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Lea, Patrick D. "Fluid Structure Interaction with Applications in Structural Failure." Thesis, Northwestern University, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=3605735.

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<p> Methods for modeling structural failure with applications for fluid structure interaction (FSI) are developed in this work. Fracture as structural failure is modeled in this work by both the extended finite element method (XFEM) and element deletion. Both of these methods are used in simulations coupled with fluids modeled by computational fluid dynamics (CFD). The methods presented here allow the fluid to pass through the fractured areas of the structure without any prior knowledge of where fracture will occur. Fracture modeled by XFEM is compared to an experimental result as well as a test problem for two phase coupling. The element deletion results are compared with an XFEM test problem, showing the differences and similarities between the two methods. </p><p> A new method for modeling fracture is also proposed in this work. The new method combines XFEM and element deletion to provide a robust implementation of fracture modeling. This method integrates well into legacy codes that currently have element deletion functionality. The implementation allows for application by a wide variety of users that are familiar with element deletion in current analysis tools. The combined method can also be used in conjunction with the work done on fracture coupled with fluids, discussed in this work. </p><p> Structural failure via buckling is also examined in an FSI framework. A new algorithm is produced to allow for structural subcycling during the collapse of a pipe subjected to a hydrostatic load. The responses of both the structure and the fluid are compared to a non-subcycling case to determine the accuracy of the new algorithm. </p><p> Overall this work looks at multiple forms of structural failure induced by fluids modeled by CFD. The work extends what is currently possible in FSI simulations.</p>
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García, García Julio Abraham. "Reduction of seismically induced structural vibrations considering soil-structure interaction." [S.l. : s.n.], 2002. http://deposit.ddb.de/cgi-bin/dokserv?idn=969246390.

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Rahgozar, Mohammad Ali Carleton University Dissertation Engineering Civil. "Semismic soil-structure interaction analysis of structural base shear amplification." Ottawa, 1993.

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Tan, Mengmeng. "Structural optimization of polypod-like structured DNA based on structural analysis and interaction with cells." Kyoto University, 2020. http://hdl.handle.net/2433/253233.

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Campagna, Anne. "Structural analysis of protein interaction networks." Doctoral thesis, Universitat Pompeu Fabra, 2012. http://hdl.handle.net/10803/84111.

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Interactions between proteins give rise to many functions in cells. In the lastdecade, highthroughput experiments have identified thousands of protein interactions, which are often represented together as large protein interaction networks. However, the classical way of representing interaction networks, as nodes and edges, is too limited to take dynamic properties such as compatible and mutually exclusive interactions into account. In this work, we study protein interaction networks using structural information. More specifically, the analysis of protein interfaces in threedimensional protein structures enables us to identify which interfaces are compatible and which are not. Based on this principle, we have implemented a method, which aims at the analysis of protein interaction networks from a structural point of view by (1) predicting possible binary interactions for proteins that have been found in complex experimentally and (2) identifying possible mutually exclusive and compatible complexes. We validated our method by using positive and negative reference sets from literature and set up an assay to benchmark the identification of compatible and mutually exclusive structural interactions. In addition, we reconstructed the protein interaction network associated with the G proteincoupled receptor Rhodopsin and defined related functional submodules by combining interaction data with structural analysis of the network. Besides its established role in vision, our results suggest that Rhodopsin triggers two additional signaling pathways towards (1) cytoskeleton dynamics and (2) vesicular trafficking.<br>Las funciones de las proteínas resultan de la manera con la que interaccionan entre ellas. Los experimentos de alto rendimiento han permitido identificar miles de interacciones de proteínas que forman parte de redes grandes y complejas. En esta tesis, utilizamos la información de estructuras de proteínas para estudiar las redes de interacciones de proteínas. Con esta información, se puede entender como las proteínas interaccionan al nivel molecular y con este conocimiento se puede identificar las interacciones que pueden ocurrir al mismo tiempo de las que están incompatibles. En base a este principio, hemos desarrollado un método que permite estudiar las redes de interacciones de proteínas con un punto de vista mas dinámico de lo que ofrecen clásicamente. Además, al combinar este método con minería de la literatura y Los datos de la proteomica hemos construido la red de interacciones de proteínas asociada con la Rodopsina, un receptor acoplado a proteínas G y hemos identificado sus sub--‐módulos funcionales. Estos análisis surgieron una novel vıa de señalización hacia la regulación del citoesqueleto y el trafico vesicular por Rodopsina, además de su papel establecido en la visión.
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Stalker, R. "Engineer-computer interaction for structural monitoring." Thesis, Lancaster University, 2000. http://eprints.lancs.ac.uk/11792/.

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Thorpe, Christopher John. "Structural analysis of MHC : peptide interaction." Thesis, Birkbeck (University of London), 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.321649.

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Southall, Stacey Mary. "Structural studies of protein interaction modules." Thesis, University of Cambridge, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.615774.

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Gallagher, Timothy. "Towards multi-scale reacting fluid-structure interaction: micro-scale structural modeling." Thesis, Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/53483.

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The fluid-structure interaction of reacting materials requires computational models capable of resolving the wide range of scales present in both the condensed phase energetic materials and the turbulent reacting gas phase. This effort is focused on the development of a micro-scale structural model designed to simulate heterogeneous energetic materials used for solid propellants and explosives. These two applications require a model that can track moving surfaces as the material burns, handle spontaneous formation of discontinuities such as cracks, model viscoelastic and viscoplastic materials, include finite-rate kinetics, and resolve both micro-scale features and macro-scale trends. Although a large set of computational models is applied to energetic materials, none meet all of these criteria. The Micro-Scale Dynamical Model serves as the basis for this work. The model is extended to add the capabilities required for energetic materials. Heterogeneous solid propellant burning simulations match experimental burn rate data and descriptions of material surface. Simulations of realistic heterogeneous plastic-bound explosives undergoing impact predict the formation of regions of localized heating called hotspots which may lead to detonation in the material. The location and intensity of these hotspots is found to vary with the material properties of the energetic crystal and binder and with the impact velocity. A statistical model of the hotspot peak temperatures for two frequently used energetic crystals indicates a linear relationship between the hotspot intensity and the impact velocity. This statistical model may be used to generate hotspot fields in macro-scale simulations incapable of resolving the micro-scale heating that occurs in heterogeneous explosives.
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Sribalaskandarajah, Kandiah. "A computational framework for dynamic soil-structure interaction analysis /." Thesis, Connect to this title online; UW restricted, 1996. http://hdl.handle.net/1773/10180.

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Books on the topic "Structural interaction"

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1925-, Ryan Robert S., Scofield Harold N, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Branch, eds. Structural dynamics and control interaction of flexible structures. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1987.

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International Conference on Soil Dynamics and Earthquake Engineering (4th 1989 Mexico City, Mexico). Structural dynamics and soil-structure interaction. Edited by Cakmak A. S. 1934- and Herrera Ismael. Ashurst: Computational Mechanics, 1989.

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Nawawi, Chouw, and Pender Michael J, eds. Soil-Foundation-Structure Interaction. Abingdon: CRC Press [Imprint], 2010.

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E, Schumacker Randall, and Marcoulides George A, eds. Interaction and nonlinear effects in structural equation modeling. Mahwah, N.J: L. Erlbaum Associates, 1998.

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Engineers, Institution of Structural. Soil-structure interaction: The real behaviour of structures. London: The Institution of Structural Engineers, 1989.

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Thurston, Gaylen A. Modal interaction in postbuckled plates: Theory. Washington, D.C: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1989.

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M, O'Farrell J., and George C. Marshall Space Flight Center., eds. High frequency flow/structural interaction in dense subsonic fluids. Marshall Space Flight Center, Ala: National Aeronautics and Space Administration, Marshall Space Flight Center, 1995.

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M, O'Farrell J., and George C. Marshall Space Flight Center, eds. High frequency flow/structural interaction in dense subsonic fluids. Marshall Space Flight Center, Ala: National Aeronautics and Space Administration, Marshall Space Flight Center, 1995.

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M, O'Farrell J., and United States. National Aeronautics and Space Administration., eds. High frequency flow/structural interaction in dense subsonic fluids. [Huntsville, Ala.]: Rockwell Aerospace, Space Systems Division, Huntsville Operations, 1994.

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Manolis, Papadrakakis, Topping B. H. V, and International Conference on Computational Structures Technology (2nd : 1994 : Athens, Greece), eds. Advances in simulation and interaction techniques. Edinburgh, UK: Civil-Comp Press, 1994.

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Book chapters on the topic "Structural interaction"

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Aerts, Diederik, and Sandro Sozzo. "Entanglement Zoo I: Foundational and Structural Aspects." In Quantum Interaction, 84–96. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-45912-6_8.

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Aerts, Diederik, and Sandro Sozzo. "Entanglement Zoo I: Foundational and Structural Aspects." In Quantum Interaction, 84–96. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54943-4_8.

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Daley, C. G., C. Ferregut, and R. Brown. "Structural Risk Model of Arctic Shipping." In Ice-Structure Interaction, 507–40. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-84100-2_25.

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Vaziri, Mohsen. "Soil–Structure Interaction." In Structural Design of Buildings: Holistic Design, 105–36. Leeds: Emerald Publishing Limited, 2024. http://dx.doi.org/10.1680/978-1-83549-560-520241006.

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Xie, Yi Min. "Human–Computer Interaction." In Generalized Topology Optimization for Structural Design, 107–31. Singapore: Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-4524-4_6.

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Abstract This chapter presents an interactive topology optimization method that incorporates the designer’s subjective preferences. We have developed two techniques: one based on drawing an initial pattern and the other on assigning subjective scores to intermediate designs. These techniques use the designer’s initial pattern or subjective scores to modify the sensitivity values of elements, thereby altering their relative ranking. This leads to innovative and efficient structural designs that account for the designer’s subjective preferences. Further, this chapter introduces our recent research on integrating virtual reality (VR) technology with topology optimization. We demonstrate that VR sculpting offers the designer an interactive, intuitive, and immersive platform for visualizing and editing 3D geometries. The sculpted 3D models can effectively incorporate the designer’s subjective preferences and influence material redistribution in the generalized topology optimization process through human–computer interaction.
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de Miranda Batista, Eduardo. "Modelling Buckling Interaction." In Phenomenological and Mathematical Modelling of Structural Instabilities, 135–94. Vienna: Springer Vienna, 2005. http://dx.doi.org/10.1007/3-211-38028-0_3.

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Aerts, Diederik, and Sandro Sozzo. "What is Quantum? Unifying Its Micro-physical and Structural Appearance." In Quantum Interaction, 12–23. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15931-7_2.

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Modi, V. J., and F. Welt. "On the Control of Instabilities in Fluid-Structure Interaction Problems." In Structural Control, 473–95. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3525-9_32.

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Tumanov, A. V., and V. N. Shlyannikov. "Damage Accumulation and Growth Models for the Creep-Fatigue Interaction." In Structural Integrity, 112–16. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-47883-4_20.

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Kalsi, Ishita, and Rama Debbarma. "Seismic Response of Reinforced Concrete Buildings Considering Soil Structure Interaction." In Structural Integrity, 383–92. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-05509-6_31.

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Conference papers on the topic "Structural interaction"

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Calderón-Arce, Cindy, Juan Luis Crespo-Mariño, and Rodrigo Mora-Rodríguez. "Structural miRNA-lncRNA Interaction Database: Integrating Structural Insights for Enhanced Predictive Modeling." In 2024 IEEE 42nd Central America and Panama Convention (CONCAPAN XLII), 1–8. IEEE, 2024. https://doi.org/10.1109/concapan63470.2024.10933592.

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Dayal, Vinay, and Ilyas Mohammed. "Crack interaction in composites." In 35th Structures, Structural Dynamics, and Materials Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1994. http://dx.doi.org/10.2514/6.1994-1454.

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Schuster, Sven, Sandro Schulze, and Ina Schaefer. "Structural feature interaction patterns." In the Eighth International Workshop. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2556624.2556640.

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Yurkovich, Rudy. "Wing-tail interaction flutter revisited." In 37th Structure, Structural Dynamics and Materials Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1996. http://dx.doi.org/10.2514/6.1996-1447.

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Liu, Hongjun, Jie Liu, and Jun Teng. "Control-Structure Interaction in Structural Vibration Control." In 11th Biennial ASCE Aerospace Division International Conference on Engineering, Science, Construction, and Operations in Challenging Environments. Reston, VA: American Society of Civil Engineers, 2008. http://dx.doi.org/10.1061/40988(323)196.

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Lee, Ki-Myung, Won-Hyuk Choi, Hyun Soo Kim, Seung Han Moon, and Jin Tae Kim. "Hull Structural Analysis of Turret-Moored FPSOs Considering Hull–Turret Interaction." In ASME 2014 33rd International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/omae2014-23902.

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For turret-moored ship-type offshore structures such as floating production storage and offloading (FPSO) units, the hull structure is affected by mooring and riser loads that are transferred through turret systems, in addition to environmental loads on the hull itself. Moreover, the existence of turret structures has an influence on the structural behavior of the hull around the turret system. In the structural design of FPSOs, the turret structure and its loads are considered in a direct analysis of hull structure for a realistic strength assessment of FPSOs. This paper investigates several specific techniques for hull structural analysis considering the interaction with the turret system. The linear gap function is utilized to represent the nonlinear contact behavior between the hull and turret structures. The linear superposition of structural responses is also adapted, and its validity is demonstrated in the case of hull–turret contact problems. These studies conclude that the hull structures with turret systems that involve contact nonlinearity in their interface can be assessed using the conventional hull strength assessment based on linear analysis. Moreover, by including the turret model directly in hull structural analysis, the uncertainty arising from hull–turret interface loads can be reduced, and a robust and adaptive design procedure can be set up in the detailed engineering stages.
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Tan, Huade, John Goetz, Andre´s Tovar, and John E. Renaud. "Validation of Computational Fluid Structure Interaction Models for Shape Optimization Under Blast Impact." In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-28110.

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A first order structural optimization problem is examined to evaluate the effects of structural geometry on blast energy transfer in a fully coupled fluid structure interaction problem. The fidelity of the fluid structure interaction simulation is shown to yield significant insights into the blast mitigation problem not captured in similar empirically based blast models. An emphasis is placed on the accuracy of simulating such fluid structure interactions and its implications on designing continuum level structures. Higher order design methodologies and algorithms are discussed for the application of such fully coupled simulations on vehicle level optimization problems.
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Heller, R., and S. Thangjitham. "Probabilistic service life prediction for creep-fatigue interaction." In 37th Structure, Structural Dynamics and Materials Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1996. http://dx.doi.org/10.2514/6.1996-1560.

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JAFARPOUR HAMEDANI, SHAHED JAFARPOUR, MEHRISADAT MAKKI ALAMDARI, ELENA ATROSHCHENKO, KAI-CHUN CHANG, CHUL-WOO KIM, and ANDRES FELIPE CALDERON HURTADO. "VEHICLE AND TRUSS BRIDGE INTERACTION ADOPTING A SIMPLIFIED 2D MODEL." In Structural Health Monitoring 2023. Destech Publications, Inc., 2023. http://dx.doi.org/10.12783/shm2023/36763.

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Indirect structural health monitoring of bridges using vehicle-mounted sensors offers a promising approach for the continuous assessment of structures. Full-scale modelling of complex structures, however, is computationally intensive. In order to optimize the required computational expenses, a two-dimensional simplified numerical model whose response resembles the real structure is developed. Euler-Bernoulli frame elements are adopted for finite element structural modelling. The transitional Markov Chain Monte Carlo technique is then applied for Bayesian finite element model updating. The proposed approach proved to reach an accurate model for a real-world truss bridge in Japan. Vehicle bridge interaction elements are then developed based on the updated simplified 2D model. The generalized-α time integration scheme is used to overcome inherent numerical instabilities. Time-response of the vehicle is evaluated using the developed Vehicle-Bridge Interaction (VBI) framework to study the dynamic properties of the bridge. The proposed approach significantly reduces the computational efforts in extracting time history responses of the moving dynamic system over the bridge without sacrificing the prediction accuracy. Time history responses can be processed subsequently to identify damage(s) in the structure, if any.
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Marzban, Ali, Murthy Lakshmiraju, Nigel Richardson, Mike Henneke, Guangyu Wu, Pedro M. Vargas, and Owen Oakley. "Offshore Platform Fluid Structure Interaction Simulation." In ASME 2012 31st International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/omae2012-83472.

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In this study a one-way coupled fluid-structure interaction (FSI) between ocean waves and a simplified offshore platform deck structure was modeled. The FSI model consists of a Volume of Fluid (VOF) based hydrodynamics model, a structural model and an interface to synchronize data between these two. A Computational Fluid Dynamics (CFD) analysis was used to capture the breaking wave and impact behavior of the fluid on the structure using commercially available software STAR-CCM+. A 3D Finite Element (FE) model of the platform deck developed in ABAQUS was used to determine the deflection of the structure due to hydrodynamic loads. Nonlinear material behavior was used for all structural parts in the FE model. Transient dynamic structural analysis and CFD analysis were coupled by transferring the CFD-predicted pressure distribution to the structural part in each time step using the co-simulation capabilities of STAR-CCM+ and ABAQUS. The one-way FSI model was applied to investigate the possible physical causes of observed wave damage of an offshore platform deck during a hurricane. It was demonstrated that with proper physical conditions/configurations, the FSI model could reproduce a structural deformation comparable to field measurement and provide valuable insight for forensic analysis.
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Reports on the topic "Structural interaction"

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Ladias, John A. Structural Basis for the BRCA1 Interaction With Branched DNA. Fort Belvoir, VA: Defense Technical Information Center, August 2004. http://dx.doi.org/10.21236/ada429692.

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Ebeling, Robert, та Barry White. Load and resistance factors for earth retaining, reinforced concrete hydraulic structures based on a reliability index (β) derived from the Probability of Unsatisfactory Performance (PUP) : phase 2 study. Engineer Research and Development Center (U.S.), березень 2021. http://dx.doi.org/10.21079/11681/39881.

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This technical report documents the second of a two-phase research and development (R&amp;D) study in support of the development of a combined Load and Resistance Factor Design (LRFD) methodology that accommodates geotechnical as well as structural design limit states for design of the U.S. Army Corps of Engineers (USACE) reinforced concrete, hydraulic navigation structures. To this end, this R&amp;D effort extends reliability procedures that have been developed for other non-USACE structural systems to encompass USACE hydraulic structures. Many of these reinforced concrete, hydraulic structures are founded on and/or retain earth or are buttressed by an earthen feature. Consequently, the design of many of these hydraulic structures involves significant soil structure interaction. Development of the required reliability and corresponding LRFD procedures has been lagging in the geotechnical topic area as compared to those for structural limit state considerations and have therefore been the focus of this second-phase R&amp;D effort. Design of an example T-Wall hydraulic structure involves consideration of five geotechnical and structural limit states. New numerical procedures have been developed for precise multiple limit state reliability calculations and for complete LRFD analysis of this example T-Wall reinforced concrete, hydraulic structure.
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Zhu, Minjie, and Michael Scott. Two-Dimensional Debris-Fluid-Structure Interaction with the Particle Finite Element Method. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, April 2024. http://dx.doi.org/10.55461/gsfh8371.

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In addition to tsunami wave loading, tsunami-driven debris can cause significant damage to coastal infrastructure and critical bridge lifelines. Using numerical simulations to predict loads imparted by debris on structures is necessary to supplement the limited number of physical experiments of in-water debris loading. To supplement SPH-FEM (Smoothed Particle Hydrodynamics-Finite Element Method) simulations described in a companion PEER report, fluid-structure-debris simulations using the Particle Finite Element Method (PFEM) show the debris modeling capabilities in OpenSees. A new contact element simulates solid to solid interaction with the PFEM. Two-dimensional simulations are compared to physical experiments conducted in the Oregon State University Large Wave Flume by other researchers and the formulations are extended to three-dimensional analysis. Computational times are reported to compare the PFEM simulations with other numerical methods of modeling fluid-structure interaction (FSI) with debris. The FSI and debris simulation capabilities complement the widely used structural and geotechnical earthquake simulation capabilities of OpenSees and establish the foundation for multi-hazard earthquake and tsunami simulation to include debris.
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Kennedy, R. P., R. H. Kincaid, and S. A. Short. Engineering characterization of ground motion. Task II. Effects of ground motion characteristics on structural response considering localized structural nonlinearities and soil-structure interaction effects. Volume 2. Office of Scientific and Technical Information (OSTI), March 1985. http://dx.doi.org/10.2172/5817815.

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Zha, Ge-Chenga, Ming-Ta Yang, and Fariba Fahroo. High Cycle Fatigue Prediction for Mistuned Bladed Disks with Fully Coupled Fluid-Structural Interaction. Fort Belvoir, VA: Defense Technical Information Center, June 2006. http://dx.doi.org/10.21236/ada452028.

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Ebeling, Robert, Barry White, John Hite, James Tallent, Locke Williams, Brad McCoy, Aaron Hill, Cameron Dell, Jake Bruhl та Kevin McMullen. Load and resistance factors from reliability analysis Probability of Unsatisfactory Performance (PUP) of flood mitigation, batter pile-founded T-Walls given a target reliability index (𝛽). Engineer Research and Development Center (U.S.), липень 2023. http://dx.doi.org/10.21079/11681/47245.

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This technical report documents the research and development (R&amp;D) study in support of the development of a combined Load and Resistance Factor Design (LRFD) methodology that accommodates both geotechnical and structural design limit states for design of the US Army Corps of Engineers (USACE) batter pile-founded, reinforced concrete flood walls. Development of the required reliability and corresponding LRFD procedures has been progressing slowly in the geotechnical topic area as compared to those for structural limit state considerations, and therefore this has been the focus of this first-phase R&amp;D effort. This R&amp;D effort extends reliability procedures developed for other non-USACE structural systems, primarily bridges and buildings, for use in the design of batter pile-founded USACE flood walls. Because the foundation system includes batter piles under flood loading, the design procedure involves frame analysis with significant soil structure interaction. Three example batter pile-founded T-Wall flood structures on three different rivers have been examined considering 10 geotechnical and structural limit states. Numerical procedures have been extended to develop precise multiple limit state Reliability calculations and for complete LRFD analysis of the example batter pile-founded, T-Wall reinforced concrete, flood walls.
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Montville, Thomas J., and Roni Shapira. Molecular Engineering of Pediocin A to Establish Structure/Function Relationships for Mechanistic Control of Foodborne Pathogens. United States Department of Agriculture, August 1993. http://dx.doi.org/10.32747/1993.7568088.bard.

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This project relates the structure of the bacteriocin molecule (which is genetically determined) to its antimicrobial function. We have sequenced the 19,542 bp pediocin plasmid pMD136 and developed a genetic transfer system for pediococci. The pediocin A operon is complex, containing putative structural, immunity, processing, and transport genes. The deduced sequence of the pediocin A molecule contains 44 amino acids and has a predicted PI of 9.45. Mechanistic studies compared the interaction of pediocin PA-1 and nisin with Listeria monocytgenes cells and model lipid systems. While significant nisin-induced intracellular ATP depletion is caused by efflux, pediocin-induced depletion is caused exclusively by hydrolysis. Liposomes derived from L. monocytogenes phospholipids were used to study the physical chemistry of pediocin and nisin interactions with lipids. Their different pH optima are the results of different specific ionizable amino acids. We generated a predicted 3-D structural model for pediocin PA-1 and used a variety of mutant pediocins to demonstrate that the "positive patch" at residues 11 and 12 (and not the YGNGV consensus sequence) is responsible for the binding step of pediocin action. This structure/function understanding gained here provides necessary prerequisites to the more efficacious use of bacteriocins to control foodborne pathogens.
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Friedlander, Michael, Clinton Dawes, and Y. (Joel) Kashman. The Interaction between Epiphytes and Seaweeds. United States Department of Agriculture, June 1995. http://dx.doi.org/10.32747/1995.7571355.bard.

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Two Israeli laboratories (IOLR and TAU) cooperated with one American laboratory (USF) in the research of the interaction between epiphytes (Ulva sp.) and the cultivated seaweed (Gracilaria sp.) The main objectives included the following aspects: Structural aspects, effects of different irradiances on growth, sensitivity studies, allelopathic excretions, selective chemicals and integration of studies of epiphytization. The studies were operated in outdoor tanks, indoor growth chambers and in the lab. The main conclusions and their relevance for mariculture are as following: 1. The green algal epiphyte, does penetrate its red algal host. 2. Gracilaria spp. in monoculture released more halogenated hydrocarbons than in biculture with U lactuca, whereas other metabolic parameters did not show a discriminating effect in biculture. 3. Hydrogen peroxide and halogenated hydrocarbons could be a part of the effective excretion compounds in biculture. 4. The presence of mature Gracilaria inhibited the growth of U. lactuca sporelings. 5. G. conferta is most sensitive to epiphytes among Gracilaria species tested. 6. The use of green light can enhance growth in basiphytes but inhibit epiphytes. 7. Effective selectivity has been defined by the use of hydrogen hypochlorite. 8. It may be more profitable in seaweed mariculture to select for epiphyte resistant strains than to search for inhibitors of epiphytization. 9 It is important as well to examine how the basiphyte may be able to prevent penetration. 10. Definition of the effective excretions in biculture has still to be done.
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Hille, Carsten, Daria Morcinczyk-Meier, Sarah Schneider, and Dana Mietzner. From InnoMix to University–Industry Collaboration: Fostering Exchange at Eye Level. Technische Hochschule Wildau, 2021. http://dx.doi.org/10.15771/innohub_1.

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In this paper, we address a specific tool—InnoMix—that is implemented to overcome the lack of university–industry interaction in a selected region facing structural change with its corresponding impact on the economy and society. InnoMix is facilitated and implemented by university-based transfer scouts who act as mediators and translators between the players of the regional innovation system. These transfer scouts are part of the Innovation Hub 13, in which the region’s partners and stakeholders, infrastructures and competencies are systematically networked with each other to set new impulses for knowledge and technology transfer. These new impulses are brought into the region through new transfer approaches ranging from people and tools to infrastructure. InnoMix can be considered to be a highly interactive tool to overcome the weak, direct interaction between researchers and potential corporate partners in the region to foster strong collaboration between academia and industry. InnoMix especially aims to strengthen interdisciplinary exchange to shed light on cross-disciplinary perspectives. For that reason, transfer scouts focusing on transfer activities related to the life sciences, digitalisation and lightweight construction are involved in the implementation of InnoMix. Based on 11 InnoMix running since 2019, we provide insights into the planning and preparation phase of InnoMix and the selection of relevant topics and requirements for matching participants. Furthermore, we clearly indicate which formats of InnoMix work best and in which way university–industry interactions could be curated after InnoMix is implemented.
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Fernandez, Jasmine, Michaela Bonnett, Teri Garstka, and Meaghan Kennedy. Exploring Social Care Network Structures. Orange Sparkle Ball, June 2024. http://dx.doi.org/10.61152/hdnz4028https://www.orangesparkleball.com/innovation-library-blog/2024/5/30/sunbelt2024-exploring-social-care-network-structures.

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This research is grounded in the theory that scale-free networks form between many organizations in a community when coordinating social care services and influential hubs in the network emerge (Barabási &amp; Réka, 1999).We explore the variability in the structures of social care networks, focusing on how the diverse needs of community members and the array of providers influence these structures. We posit that the architecture of these networks may hold the key to discerning patterns in community health and social outcomes. Our study examines the resilience of social care networks, defining them as systems designed to enhance interactions among all nodes to meet diverse community needs. We discuss community as a network and community resilience as a process, introducing three key properties—scale-free, small world, and hubness/information spreading scores, for understanding network resilience. We analyzed 20 social care networks, which have been active over an 18-month period using the referral technology tool to send and receive service referrals, providing raw interaction data among organizational nodes. We focused on two primary objectives: 1) Social care networks are more likely to exhibit scale-free properties and contain influential hubs; and 2) There is significant variability among social care networks in terms of scale-free properties and centrality measures. Using the three properties—small world, scale-free, and hubness/information spreading scores—we classified the 20 social care networks into different structural profiles. We analyzed node,edge radius, diameter, to understand the network structure characteristics. Our findings highlighted four distinct network structures, which we ranked from most to least resilient. We discussed the implications of these structures on community-level outcomes, including the potential centralized vulnerability when hubs and information spreaders overlap, creating efficiency during normal operations but also increasing vulnerability to disruptions. Our findings offer insights into the emergent properties of complex systems, particularly in networks intentionally designed to enhance resilience and meet diverse community needs. We conclude by discussing the variability in centrality and structural metrics within the identified groups and propose future research directions to explore the long-term impact of these network structures.
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