Academic literature on the topic 'Dynamic response variability'

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Journal articles on the topic "Dynamic response variability"

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KATAFYGIOTIS, L. S., and C. PAPADIMITRIOU. "DYNAMIC RESPONSE VARIABILITY OF STRUCTURES WITH UNCERTAIN PROPERTIES." Earthquake Engineering & Structural Dynamics 25, no. 8 (August 1996): 775–93. http://dx.doi.org/10.1002/(sici)1096-9845(199608)25:8<775::aid-eqe581>3.0.co;2-1.

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Papadopoulos, Vissarion, and Odysseas Kokkinos. "Variability response functions for stochastic systems under dynamic excitations." Probabilistic Engineering Mechanics 28 (April 2012): 176–84. http://dx.doi.org/10.1016/j.probengmech.2011.08.002.

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Papadopoulos, Vissarion, and Odysseas Kokkinos. "Transient response of stochastic finite element systems using Dynamic Variability Response Functions." Structural Safety 52 (January 2015): 100–112. http://dx.doi.org/10.1016/j.strusafe.2014.09.006.

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Schaette, Roland, Tim Gollisch, and Andreas V. M. Herz. "Spike-Train Variability of Auditory Neurons In Vivo: Dynamic Responses Follow Predictions From Constant Stimuli." Journal of Neurophysiology 93, no. 6 (June 2005): 3270–81. http://dx.doi.org/10.1152/jn.00758.2004.

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Reliable accounts of the variability observed in neural spike trains are a prerequisite for the proper interpretation of neural dynamics and coding principles. Models that accurately describe neural variability over a wide range of stimulation and response patterns are therefore highly desirable, especially if they can explain this variability in terms of basic neural observables and parameters such as firing rate and refractory period. In this work, we analyze the response variability recorded in vivo from locust auditory receptor neurons under acoustic stimulation. In agreement with results from other systems, our data suggest that neural refractoriness has a strong influence on spike-train variability. We therefore explore a stochastic model of spike generation that includes refractoriness through a recovery function. Because our experimental data are consistent with a renewal process, the recovery function can be derived from a single interspike-interval histogram obtained under constant stimulation. The resulting description yields quantitatively accurate predictions of the response variability over the whole range of firing rates for constant-intensity as well as amplitude-modulated sound stimuli. Model parameters obtained from constant stimulation can be used to predict the variability in response to dynamic stimuli. These results demonstrate that key ingredients of the stochastic response dynamics of a sensory neuron are faithfully captured by a simple stochastic model framework.
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Whiting, W. C., M. Peralta, A. Zink, and G. Settle. "FORCE PARAMETER VARIABILITY IN RESPONSE TO LOWER EXTREMITY DYNAMIC FATIGUE922." Medicine &amp Science in Sports &amp Exercise 28, Supplement (May 1996): 155. http://dx.doi.org/10.1097/00005768-199605001-00920.

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Manitaras, Theofilos-Ioannis, Vissarion Papadopoulos, and Manolis Papadrakakis. "Dynamic variability response functions for stochastic wave propagation in soils." Soil Dynamics and Earthquake Engineering 97 (June 2017): 60–73. http://dx.doi.org/10.1016/j.soildyn.2017.02.004.

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Žcaronivanović, Stana, and Aleksandar Pavić. "Quantification of Dynamic Excitation Potential of Pedestrian Population Crossing Footbridges." Shock and Vibration 18, no. 4 (2011): 563–77. http://dx.doi.org/10.1155/2011/403147.

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Due to their slenderness, many modern footbridges may vibrate significantly under pedestrian traffic. Consequently, the vibration serviceability of these structures under human-induced dynamic loading is becoming their governing design criterion. Many current vibration serviceability design guidelines, concerned with prediction of the vibration in the vertical direction, estimate a single response level that corresponds to an "average" person crossing the bridge with the step frequency that matches a footbridge natural frequency. However, different pedestrians have different dynamic excitation potential, and therefore could generate significantly different vibration response of the bridge structure. This paper aims to quantify this potential by estimating the range of structural vibrations (in the vertical direction) that could be induced by different individuals and the probability of occurrence of any particular vibration level. This is done by introducing the inter- and intra-subject variability in the walking force modelling. The former term refers to inability of a pedestrian to induce an exactly the same force with each step while the latter refers to different forces (in terms of their magnitude, frequency and crossing speed) induced by different people. Both types of variability are modelled using the appropriate probability density functions. The probability distributions were then implemented into a framework procedure for vibration response prediction under a single person excitation. Instead of a single response value obtained using currently available design guidelines, this new framework yields a range of possible acceleration responses induced by different people and a distribution function for these responses. The acceleration ranges estimated are then compared with experimental data from two real-life footbridges. The substantial differences in the dynamic response induced by different people are obtained in both the numerical and the experimental results presented. These results therefore confirm huge variability in different people's dynamic potential to excite the structure. The proposed approach for quantifying this variability could be used as a sound basis for development of new probability-based vibration serviceability assessment procedures for pedestrian bridges.
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de Ruiter, Naomi M. P., Tom Hollenstein, Paul L. C. van Geert, and E. Saskia Kunnen. "Self-Esteem as a Complex Dynamic System: Intrinsic and Extrinsic Microlevel Dynamics." Complexity 2018 (September 12, 2018): 1–19. http://dx.doi.org/10.1155/2018/4781563.

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The variability of self-esteem is an important characteristic of self-esteem. However, little is known about the mechanisms that underlie it. The goal of the current study was to empirically explore these underlying mechanisms. It is commonly assumed that state self-esteem (the fleeting experience of the self) is a response to the immediate social context. Drawing from a complex dynamic systems perspective, the self-organizing self-esteem model asserts that this responsivity is not passive or stimulus-response like, but that the impact of the social context on state self-esteem is intimately connected to the intrinsic dynamics of self-esteem. The model suggests that intrinsic dynamics are the result of higher-order self-esteem attractors that can constrain state self-esteem variability. The current study tests this model, and more specifically, the prediction that state self-esteem variability is less influenced by changes in the immediate context if relatively strong, as opposed to weak, self-esteem attractors underlie intrinsic dynamics of self-esteem. To test this, parent-adolescent dyads (N=13, Mage=13.6) were filmed during seminaturalistic discussions. Observable components of adolescent state self-esteem were coded in real time, as well as real-time parental autonomy-support and relatedness. Kohonen’s self-organizing maps were used to derive attractor-like patterns: repeated higher-order patterns of adolescents’ self-esteem components. State space grids were used to assess how much adolescents’ self-esteem attractors constrained their state self-esteem variability. We found varying levels of attractor strength in our sample. In accordance with our prediction, we found that state self-esteem was less sensitive to changes in parental support and relatedness for adolescents with stronger self-esteem attractors. Discussion revolves around the implications of our findings for the ontology of self-esteem.
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Bell, Iris R., John A. Ives, and B. Jonas Wayne. "Nonlinear Effects of Nanoparticles: Biological Variability from Hormetic Doses, Small Particle Sizes, and Dynamic Adaptive Interactions." Dose-Response 12, no. 2 (November 7, 2013): dose—response.1. http://dx.doi.org/10.2203/dose-response.13-025.bell.

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Chen, Zhuo Shi, Xiao Ming Yuan, and Shang Jiu Meng. "Analysis on the Bias of Seismic Ground Motion Prediction in a Shallow Stiff-Soil Site by LSSRL-1 Program." Advanced Materials Research 915-916 (April 2014): 18–21. http://dx.doi.org/10.4028/www.scientific.net/amr.915-916.18.

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The main causes of the ground motion blind prediction bias are the variability of the adopted program, the shear-wave velocity of the site, and the soil nonlinear dynamic parameters. By considering the variability of shear-wave velocity and the dynamic parameters, this essay used LSSRLI-1 Codes and Mw6.0 seismic record of Parkfield earthquake to calculate ground responses of 9 different conditions at Turkey Flat site. The authors believe that the variability of shear-wave velocity caused the dominant impact to the blind prediction of this shallow stiff-soil site. That impact is much greater than that of the dynamic parameters. LSSRLI-1 program may either underestimate the ground response of the shallow stiff-soil site or may overestimate it, so we should combine the specific site conditions and a large amounts of data to do the further analysis.
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Dissertations / Theses on the topic "Dynamic response variability"

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Campbell, Thomas George. "Ambulatory physiological assessment : an ergonomic approach to the dynamic work environment and temporal variability in heart rate variability, blood pressure and the cortisol awakening response." Thesis, Edinburgh Napier University, 2014. http://researchrepository.napier.ac.uk/Output/452967.

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Aim: The aim of this thesis was to investigate the psychophysiological response to the dynamic working environment within a cohort of higher education employees via ambulatory assessment of psychosocial and physiological measures. Methods: Data was collected from two observational studies. Study one employed a cross-sectional design to investigate relationships between work-related psychosocial hazard, work-time heart rate variability, blood pressure, and the cortisol awakening response. Consideration was given to occupation type and acute work-related demand. Study two, a single-subject case study, employed an experience sampling methodology to peform a 24 hour assessment over 21 days. Workload, affect and demand were sampled during working hours, while heart rate variability and physical activity were continually sampled (24 hours), with salivary cortisol, being sampled at 3 time points during the awakening period. This study also investigated some of the methodological issues associated with ambulatory assessment of both heart rate variability and the cortisol awakening response. Findings: Chronic work-related demand was found to be positively associated with sympathetic dominance of the autonomic nervous system. Acute work-related demand was associated with ambulatory heart rate variability during work time and evening time whilst the rise in salivary free cortisol over the immediate post awakening period varies according to acute anticipatory demand and prior day's workload. Substantial intra--individual variation in both the cortisol awakening response and ambulatory heart variability was found to occur across work-days. Work time activity levels accounted for little of the variation in ambulatory heart rate variability and blood pressure. The cortisol awakening response was associated with both heart rate variability and nocturnal movement in the latter stage of sleep. Conclusion: Attending to the psychophysiological response to work at the individual level by means of ambulatory assessment appears to provide a useful means of assessing the balance between employee and environment. This could have significant implications for work design, employee selection and targeting of workplace interventions.
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Sonje, Abhijit Ravindra. "Experimental and finite element investigation into the effects of manufacturing variability on the dynamic response of a bolted interface between a bracket and a thin-walled sheet metal structure." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1546418059243072.

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Pandey, Sudip. "Assessment of forest community response to environmental variability by using an integrated approach from tree-ring anatomy to allometry of tree structures." Doctoral thesis, Università degli studi di Padova, 2018. http://hdl.handle.net/11577/3426839.

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Climate change is the biggest challenge of this century and is exerting pressure on high altitude forests. Increase in global temperature along with the rise in CO2 in the atmosphere may change the structure and function of treeline species. Several studies showed the range shifts of trees towards higher altitude affecting growth, mortality, and composition of the forest. There are few studies carried out in Nepalese Himalaya at tree ring level but still miss the inter and intra annual information. To enhance our knowledge, the main objectives of the thesis is to understand the response of treeline species to climate change. This study provides knowledge on the competition between trees for the resources used in the natural forest which alters the structure and pattern of the forest ecosystem. The target species for wood anatomical and isotopic study were Abies spectabilis D. Don Mirb. and Betula utilis D. Don which is dominating in upper treeline of Himalayas. I used the dendro-anatomy to assess the growth responses of xylem anatomical traits to climatic constraints. This allowed retrieving the information at a cellular level with longer time resolution. Further, the results were complemented by isotopic measurements that were inscribed in wood cellulose during their formation. Moreover, dendrometric data (DBH, crown radius, tree height) were collected from forest permanent plots located from different geographic locations (Nepal, Italy, and Romania). The data were used to test the crown allometries and their effects on natural forest structure and dynamics using crown area and crown volume models. Wood anatomical studies of B. utilis showed mean ring width, mean vessel area, and ring specific hydraulic conductivity to positively correlated with summer temperatures. However, fibers were negatively correlated with same season temperature suggesting that fiber get narrower when the vessel is wider to maintain the xylem hydraulic system. Another, study based on dual isotope (carbon and oxygen) showed growing season water availability could be a supplementary limiting factor for this treeline species though high altitude species are mainly limited by low temperature. In such a condition, A. spectabilis, a high altitude conifer could benefit from its higher water use efficiency during the drier period taking the competitive advantage to gas exchange compare to B. utilis. The last part of a study on the crown geometry of natural forest showed trees are site-specific determining the structure of forest ecosystem through growth, mortality, and recruitment. The predicted number of trees calculated based on crown area/volume models suggested that natural forest is oriented towards a condition of space equivalence between tree-size classes, showing in parallel that the use of soil resources increment in higher tree classes. In conclusion, this thesis provides information on wood anatomy and physiology of treeline species in response to global warming. Integration of crown models opens the idea how crown allometries contribute to a better understanding of forest communities and dynamics.
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Luken, Heather Grace. "Long-term response of zooplankton biomass and phenology to environmental variability in a eutrophic reservoir." Miami University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=miami1605897812690996.

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Boehme, Elizabeth A. "Temporal Dynamics of Benthic Macroinvertebrate Communities and Their Response to Elevated Specific Conductance in Headwater Streams of the Appalachian Coalfields." Thesis, Virginia Tech, 2013. http://hdl.handle.net/10919/51852.

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Prior studies have demonstrated Appalachian coal mining often causes elevated specific conductance (SC) in streams, and others have examined SC effects on benthic macroinvertebrate communities using point-in-time SC measurements. However, both SC and benthic macroinvertebrate communities exhibit temporal variation. Twelve Appalachian headwater streams with minimally impacted physical habitat and reference-quality physicochemical conditions (except elevated SC) were sampled ten to fourteen times each for benthic macroinvertebrates between June 2011 and November 2012. In situ loggers recorded SC at 15-minute intervals. Streams were classified by mean SC Level (Reference 17-142 S/cm, Medium 262-648 S/cm, and High 756-1,535 S/cm). Benthic macroinvertebrate community structure was quantified by the Virginia Stream Condition Index and other metrics. Structural metric differences among SC Levels and month of sampling were explored. Reference-SC streams exhibited significantly higher scores on most metrics, supporting previous findings that SC may act as a biotic stressor, even in streams lacking limitations from degradation of physical habitat or other physicochemical conditions. Temporal variation was greatest in Medium-SC streams, which had the most metrics exhibiting significant differences among months and the greatest range of monthly means for six metrics. Metrics involving % Plecoptera and/or % Trichoptera were not sensitive to elevated SC, as Leuctridae and Hydropsychidae exhibited increased abundance in streams with elevated SC. Best scores for benthic macroinvertebrate community metrics differed based on selected metric, SC Level, and month. Consequently, timing of sampling is important, particularly in streams with elevated SC because community metric scores may be impacted by dominant taxa life history patterns.
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Landry, Jennifer Jacobs. "Coastal Ocean Variability off the Coast of Taiwan in Response to Typhoon Morakot: River Forcing, Atmospheric Forcing, and Cold Dome Dynamics." Thesis, Massachusetts Institute of Technology (MIT), 2014. http://hdl.handle.net/10945/43427.

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CIVINS
Multidisciplinary Simulation, Estimation, and Assimilation Systems, Reports in Ocean Science and Engineering, MSEAS-20
The ocean is a complex, constantly changing, highly dynamical system. Prediction capabilities are constantly being improved in order to better understand and forecast ocean properties for applications in science, industry, and maritime interests. Our overarching goal is to better predict the ocean environment in regions of complex topography with a continental shelf, shelfbreak, canyons and steep slopes using the MIT Multidisciplinary Simulation, Estimation and Assimilation Systems (MSEAS) primitive-equation ocean model. We did this by focusing on the complex region surrounding Taiwan, and the period of time immediately following the passage of Typhoon Morakot. This area and period were studied extensively as part of the intense observation period during August - September 2009 of the joint U.S. - Taiwan program Quantifying, Predicting, and Exploiting Uncertainty Department Research Initiative (QPE DRI). Typhoon Morakot brought an unprecedented amount of rainfall within a very short time period and in this research, we model and study the effects of this rainfall on Taiwan’s coastal oceans as a result of river discharge. We do this through the use of a river discharge model and a bulk river-ocean mixing model. We complete a sensitivity study of the primitive-equation ocean model simulations to the different parameters of these models. By varying the shape, size, and depth of the bulk mixing model footprint, and examining the resulting impacts on ocean salinity forecasts, we are able to determine an optimal combination of salinity relaxation factors for highest accuracy.
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"Case Study on the Dynamic Response of Long Bridges Subject to Spatially Varying Ground Motions." Master's thesis, 2019. http://hdl.handle.net/2286/R.I.54886.

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abstract: This report analyzed the dynamic response of a long, linear elastic concrete bridge subject to spatially varying ground displacements as well as consistent ground displacements. Specifically, the study investigated the bridge’s response to consistent ground displacements at all supports (U-NW), ground displacements with wave passage effects and no soil profile variability (U-WP), and ground displacements with both wave passage effects and soil profile variability (V-WP). Time-history ground displacements were taken from recordings of the Loma Prieta, Duzce, and Chuetsu earthquakes. The two horizontal components of each earthquake time-history displacement record were applied to the bridge supports in the transverse and longitudinal directions. It was found that considering wave passage effects without soil profile variability, as compared with consistent ground displacements, significantly reduced the peak total energy of the system, as well as decreasing the maximum relative longitudinal displacements. The maximum relative transverse displacements were not significantly changed in the same case. It was also found that including both wave passage effects and soil profile variability (V-WP) generally resulted in larger maximum transverse relative displacements, across all earthquake time-histories tested. Similarly, it was found that using consistent ground displacements (U-NW) generally resulted in larger maximum longitudinal relative displacements, as well as larger peak total energy values.
Dissertation/Thesis
Masters Thesis Civil, Environmental and Sustainable Engineering 2019
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Books on the topic "Dynamic response variability"

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Botsford, Louis W., J. Wilson White, and Alan Hastings. Population Dynamics for Conservation. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198758365.001.0001.

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This book is a quantitative exposition of our current understanding of the dynamics of plant and animal populations, with the goal that readers will be able to understand, and participate in the management of populations in the wild. The book uses mathematical models to establish the basic principles of population behaviour. It begins with a philosophical approach to mathematical models of populations. It then progresses from a description of models with a single variable, abundance, to models that describe changes in the abundance of individuals at each age, then similar models that describe populations in terms of the abundance over size, life stage, and space. The book assumes a knowledge of basic calculus, but explains more advanced mathematical concepts such as partial derivatives, matrices, and random signals, as it makes use of them. The book explains the basis of the principles underlying important population processes, such as the mechanism that allow populations to persist, rather than go extinct, the way in which populations respond to variable environments, and the origin of population cycles.The next two chapters focus on application of the principles of population dynamics to manage for the prevention of extinction, as well as the management of fisheries for sustainable, high yields. The final chapter recapitulates how different population behaviors arise in situations with different levels of density dependence and replacement (the potential lifetime reproduction per individual), and how variability arises at different time scales set by a species’ life history.
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Book chapters on the topic "Dynamic response variability"

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Papadopoulos, Vissarion, and Odysseas Kokkinos. "Dynamic Variability Response for Stochastic Systems." In Computational Methods in Stochastic Dynamics, 15–30. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-5134-7_2.

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Papadopoulos, Vissarion, and Odysseas Kokkinos. "Dynamic Response Variability of General FE-Systems." In Multiscale Modeling and Uncertainty Quantification of Materials and Structures, 271–86. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06331-7_18.

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Di Maio, D., Z. Mitha, J. V. Paul, and X. Chi. "Variability of Dynamic Response in Jointed Structures." In Dynamics of Coupled Structures, Volume 4, 331–47. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-54930-9_29.

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Stefanou, George, and Michalis Fragiadakis. "Nonlinear Dynamic Response Variability and Reliability of Frames with Stochastic Non-Gaussian Parameters." In Computational Methods in Stochastic Dynamics, 171–85. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-9987-7_9.

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Price, Eric, Yu Tang Liu, Michael J. Black, and Aamir Ahmad. "Simulation and Control of Deformable Autonomous Airships in Turbulent Wind." In Lecture Notes in Networks and Systems, 608–26. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-95892-3_46.

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Abstract Fixed wing and multirotor UAVs are common in the field of robotics. Solutions for simulation and control of these vehicles are ubiquitous. This is not the case for airships, a simulation of which needs to address unique properties, i) dynamic deformation in response to aerodynamic and control forces, ii) high susceptibility to wind and turbulence at low airspeed, iii) high variability in airship designs regarding placement, direction and vectoring of thrusters and control surfaces. We present a flexible framework for modeling, simulation and control of airships. It is based on Robot operating system (ROS), simulation environment (Gazebo) and commercial off the shelf (COTS) electronics, all of which are open source. Based on simulated wind and deformation, we predict substantial effects on controllability which are verified in real-world flight experiments. All our code is shared as open source, for the benefit of the community and to facilitate lighter-than-air vehicle (LTAV) research. (Source code: https://github.com/robot-perception-group/airship_simulation.)
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Koskinen, Hannu E. J., and Emilia K. J. Kilpua. "Dynamics of the Electron Belts." In Astronomy and Astrophysics Library, 213–40. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-82167-8_7.

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AbstractIn this chapter we discuss the overall structure and dynamics of the electron belts and some of their peculiar features. We also consider the large-scale solar wind structures that drive geomagnetic storms and detail the specific responses of radiation belts on them. Numerous satellite observations have highlighted the strong variability of the outer electron belt and the slot region during the storms, and the energy and L-shell dependence of these variations. The belts can also experience great variations when interplanetary shocks or pressure pulses impact the Earth, even without a following storm sequence.
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Bhutiyani, M. R. "Spatial and Temporal Variability of Climate Change in High-Altitude Regions of NW Himalaya." In Climate Change, Glacier Response, and Vegetation Dynamics in the Himalaya, 87–101. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-28977-9_5.

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Zerva, A. "Effect of Spatial Variability and Propagation of Seismic Ground Motions on the Response of Multiply Supported Structures." In Stochastic Structural Dynamics 2, 307–36. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-84534-5_17.

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Paterson, Shona K., and Kristen Guida. "Bridging Gaps: Connecting Climate Change Risk Assessments with Disaster Risk Reduction and Climate Change Adaptation Agendas." In Creating Resilient Futures, 65–80. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-80791-7_4.

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AbstractChanging climates and increasing variability, in combination with maladaptive societal responses, present many threats and risks to both social and biophysical systems. The outcomes of such changes will progressively affect all aspects of ecosystem functioning including social, political, and economic landscapes. Coordination between the three frameworks that govern risk at national and subnational scales, climate change risk assessments, climate adaptation planning and disaster risk reduction (DRR), is often lacking or limited. This has resulted in a siloed and fragmented approach to climate action. By examining risk as a dynamic social construction that is reimagined and reinvented by society over time, this chapter explores how a greater degree of cohesion between these three frameworks might be achieved.
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Aakala, Tuomas, Cécile C. Remy, Dominique Arseneault, Hubert Morin, Martin P. Girardin, Fabio Gennaretti, Lionel Navarro, et al. "Millennial-Scale Disturbance History of the Boreal Zone." In Advances in Global Change Research, 53–87. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-15988-6_2.

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AbstractLong-term disturbance histories, reconstructed using diverse paleoecological tools, provide high-quality information about pre-observational periods. These data offer a portrait of past environmental variability for understanding the long-term patterns in climate and disturbance regimes and the forest ecosystem response to these changes. Paleoenvironmental records also provide a longer-term context against which current anthropogenic-related environmental changes can be evaluated. Records of the long-term interactions between disturbances, vegetation, and climate help guide forest management practices that aim to mirror “natural” disturbance regimes. In this chapter, we outline how paleoecologists obtain these long-term data sets and extract paleoenvironmental information from a range of sources. We demonstrate how the reconstruction of key disturbances in the boreal forest, such as fire and insect outbreaks, provides critical long-term views of disturbance-climate-vegetation interactions. Recent developments of novel proxies are highlighted to illustrate advances in reconstructing millennial-scale disturbance-related dynamics and how this new information benefits the sustainable management of boreal forests in a rapidly changing climate.
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Conference papers on the topic "Dynamic response variability"

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Souza, Marcos, and Neil Ferguson. "Variability in the dynamic response of connected structures." In 3rd International Symposium on Uncertainty Quantification and Stochastic Modeling. Rio de Janeiro, Brazil: ABCM Brazilian Society of Mechanical Sciences and Engineering, 2015. http://dx.doi.org/10.20906/cps/usm-2016-0004.

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Kokkinos, Odysseas, and Vissarion Papadopoulos. "Response Variability of Stochastic Systems Under Dynamic Excitation." In 6th International Conference on Computational Stochastic Mechanics. Singapore: Research Publishing Services, 2011. http://dx.doi.org/10.3850/978-981-08-7619-7_p039.

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Tzannetakis, Nick, Stijn Donders, Thierry Olbrechts, and Joost Van De Peer. "A System Approach to Dynamic Response Variability Under Parameter Uncertainty and Variability." In 45th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics & Materials Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2004. http://dx.doi.org/10.2514/6.2004-2021.

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Venkatesan, S., and R. Ganesan. "Variability in Dynamic Response of Non Self-Adjoint Mechanical Systems." In ASME 1995 Design Engineering Technical Conferences collocated with the ASME 1995 15th International Computers in Engineering Conference and the ASME 1995 9th Annual Engineering Database Symposium. American Society of Mechanical Engineers, 1995. http://dx.doi.org/10.1115/detc1995-0350.

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Abstract Variations in strength, geometric and deterioration characteristics of both materials and machine components are quite common in real-life mechanical systems due to manufacturing defects and measurement errors. Such inherent fluctuations which are unavoidable even with the best quality control measures, are essentially random in nature. Effects of these random fluctuations on the performance levels, dynamic response and service life of mechanical systems need to be evaluated based on a stochastic approach, in order to assist design and diagnostics of industrial machinery. Non self-adjoint eigenproblems that correspond to the dynamic response of complex mechanical systems such as high speed rotors, fluid-flowing pipes and actively controlled structures are considered in the present work. The coefficients of the matrices are stochastic processes and are resulting from uncertain parameters of the mechanical system being described by the eigenproblem. A perturbational solution is sought and obtained in a form that does not involve repeated solutions of a recursive set of equations. Sample functions are generated based on the perturbational expansion and response moments are obtained by treating uncertain fluctuations to be stochastic perturbations. Complete covariance structures of both eigenvalues and eigenvectors are obtained through computationally efficient expressions. Applications of the developed procedure for real-life mechanical systems, that have uncertain material properties, are demonstrated.
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Mathieu, Johanna L., Duncan S. Callaway, and Sila Kiliccote. "Examining uncertainty in demand response baseline models and variability in automated responses to dynamic pricing." In 2011 50th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC 2011). IEEE, 2011. http://dx.doi.org/10.1109/cdc.2011.6160628.

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Horner, Nathaniel, Ines Azevedo, Doug Sicker, and Yuvraj Agarwal. "Dynamic data center load response to variability in private and public electricity costs." In 2016 IEEE International Conference on Smart Grid Communications (SmartGridComm). IEEE, 2016. http://dx.doi.org/10.1109/smartgridcomm.2016.7778742.

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Ferhatoglu, Erhan, Daniele Botto, and Stefano Zucca. "An Experimental Investigation on the Dynamic Response Variability of a Turbine Blade With Mid-Span Dampers." In ASME Turbo Expo 2022: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/gt2022-79980.

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Abstract This paper addresses two main subjects. Firstly, a novel test setup is described to experimentally study the nonlinear dynamic behavior of a turbine blade coupled with two mid-span dampers. To this end, a representative turbine blade and mid-span friction dampers are originally designed, and they are assembled to a special test rig which has been previously developed at Politecnico di Torino. Secondly, the variability of the dynamic response is intensively investigated with a purposely defined loading/unloading strategy. To better understand the inherent kinematics of the blade-damper interaction, contact forces are measured through the novel design of the experimental campaign. It is shown that multiple responses, which are obtained in different tests while keeping all user-controlled inputs nominally same, are due to non-unique contact forces that provide different static force equilibria on the damper. This outcome is further supported by the qualitative illustration of hysteresis cycles. The current study contributes to the understanding of the response repeatability linked to the non-uniqueness of friction forces.
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Meinhold, Waiman, and Jun Ueda. "Tendon Tapping Stimulus Characterization Through Contact Modeling." In ASME 2018 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/dscc2018-9246.

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Tendon tapping is a common procedure with both diagnostic and therapeutic applications. Significant variability is observed in the reflex response both between and within even healthy subjects, which is likely partially caused by imprecise control or measurement of the mechanical stimulus. Reducing or measuring stimulus variability is critical to future novel applications of tendon tapping for rehabilitative neuromodulation. This work presents a contact mechanics based method for characterization of tendon mechanical stimulus. This work utilizes easily observable dynamic information about hammer impacts to estimate the properties of impacted tissue.
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Deck, Joseph F., and Steven Dubowsky. "On the Limitations of Predictions of the Dynamic Response of Machines With Clearance Connections." In ASME 1992 Design Technical Conferences. American Society of Mechanical Engineers, 1992. http://dx.doi.org/10.1115/detc1992-0413.

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Abstract The results of experimental and analytical studies of the dynamic response of machines with flexible links and connection clearances are presented. These results suggest that the actual dynamic response of such systems inherently exhibits both a large amount of variability and high sensitivity to small parameter changes and operating conditions. This work suggests that the accuracy of the dynamic force predictions given by computer simulations for such systems is fundamentally limited, and therefore such simulations should be used in system design with care.
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Abu Husain, M. K., N. I. Mohd Zaki, and G. Najafian. "Efficient Derivation of the Probability Distribution of the Extreme Values of Offshore Structural Response: Comparison of Three Different Methods." In ASME 2013 32nd International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/omae2013-10590.

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Offshore structures are exposed to random wave loading in the ocean environment and hence the probability distribution of the extreme values of their response to wave loading is required for their safe and economical design. To this end, the conventional (Monte Carlo) time simulation technique (CTS) is frequently used for predicting the probability distribution of the extreme values of response. However, this technique suffers from excessive sampling variability and hence a large number of simulated extreme responses (hundreds of simulated response records) are required to reduce the sampling variability to acceptable levels. In this paper, three different versions of a more efficient time simulation technique (ETS) are compared by exposing a test structure to sea states of different intensity. The three different versions of the ETS technique take advantage of the good correlation between extreme responses and their corresponding surface elevation extreme values, or quasi-static and dynamic linear extreme responses.
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Reports on the topic "Dynamic response variability"

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Landry, Jennifer J. Coastal Ocean Variability off the Coast of Taiwan in Response to Typhoon Morakot: River Forcing, Atmospheric Forcing, and Cold Dome Dynamics. Fort Belvoir, VA: Defense Technical Information Center, September 2014. http://dx.doi.org/10.21236/ada608876.

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Brodie, Katherine, Ian Conery, Nicholas Cohn, Nicholas Spore, and Margaret Palmsten. Spatial variability of coastal foredune evolution, part A : timescales of months to years. Engineer Research and Development Center (U.S.), July 2021. http://dx.doi.org/10.21079/11681/41322.

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Coastal foredunes are topographically high features that can reduce vulnerability to storm-related flooding hazards. While the dominant aeolian, hydrodynamic, and ecological processes leading to dune growth and erosion are fairly well-understood, predictive capabilities of spatial variations in dune evolution on management and engineering timescales (days to years) remain relatively poor. In this work, monthly high-resolution terrestrial lidar scans were used to quantify topographic and vegetation changes over a 2.5 year period along a micro-tidal intermediate beach and dune. Three-dimensional topographic changes to the coastal landscape were used to investigate the relative importance of environmental, ecological, and morphological factors in controlling spatial and temporal variability in foredune growth patterns at two 50 m alongshore stretches of coast. Despite being separated by only 700 m in the alongshore, the two sites evolved differently over the study period. The northern dune retreated landward and lost volume, whereas the southern dune prograded and vertically accreted. The largest differences in dune response between the two sections of dunes occurred during the fall storm season, when each of the systems’ geomorphic and ecological properties modulated dune growth patterns. These findings highlight the complex eco-morphodynamic feedback controlling dune dynamics across a range of spatial scales.
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Eckert, Elizabeth, Eleanor Turner, and Jo Anne Yeager Sallah. Youth Rural-Urban Migration in Bungoma, Kenya: Implications for the Agricultural Workforce. RTI Press, August 2019. http://dx.doi.org/10.3768/rtipress.2019.op.0062.1908.

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This study provides insights into a specific, hard-to-reach youth subpopulation—those born in agricultural areas in Western Kenya who migrate to large towns and cities—that is often missed by research and development activities. Using a mixed-methods approach, we find high variability in movement of youth between rural villages, towns, and large urban areas. Top reasons for youth migration align with existing literature, including pursuit of job opportunities and education. For youth from villages where crop farming is the primary economic activity for young adults, 77 percent responded that they are very interested in that work, in contrast to the common notion that youth are disinterested in agriculture. We also find many youth interested in settling permanently in their villages in the future. This research confirms that youth migration is dynamic, requiring that policymakers and development practitioners employ methods of engaging youth that recognize the diversity of profiles and mobility of this set of individuals.
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