Relevant bibliographies by topics / Nonlinear behavioural modelling

Contents

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

Academic literature on the topic 'Nonlinear behavioural modelling'

Author: Grafiati
Published: 5 June 2025
Last updated: 24 June 2025

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Journal articles on the topic "Nonlinear behavioural modelling"

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O'Droma, Mairtin, Serban Meza, and Yiming Lei. "New modified saleh models for memoryless nonlinear power amplifier behavioural modelling." IEEE Communications Letters 13, no. 6 (2009): 399–401. http://dx.doi.org/10.1109/lcomm.2009.090222.

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O'droma, Mairtin, Serban Meza, and Yiming Lei. "New modified Saleh models for memoryless nonlinear power amplifier behavioural modelling." IEEE Communications Letters 13, no. 12 (2009): 1007. http://dx.doi.org/10.1109/lcomm.2009.12.0902222.

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Kim, Kyunghoon, Bongsub Song, Junan Lee, Kwangsoo Kim, Jung Han Choi, and Jinwook Burm. "A behavioural modelling of nonlinear RF power amplifiers using noise compensation technique." International Journal of Electronics 100, no. 12 (2013): 1675–82. http://dx.doi.org/10.1080/00207217.2013.766909.

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Chen, Xinyuan, and Inhi Kim. "Modelling Rail-Based Park and Ride with Environmental Constraints in a Multimodal Transport Network." Journal of Advanced Transportation 2018 (October 4, 2018): 1–15. http://dx.doi.org/10.1155/2018/2310905.

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Environmental sustainability is a significant aspect in the sustainable development of modern urban cities, especially in the road transport system. As traffic demands increase, public transport requires more promotion to accommodate the increasing travel demands while maintaining the environmental quality. Public transport, however, is less attractive in vast suburb areas mainly due to its longer travel distance and waiting time. Therefore, this paper proposes a rail-based Park-and-Ride (RPR) scheme to promote public transport in the multimodal transport network. To remedy the heterogeneous distribution of vehicle pollutants in the network, regulations in environmental sensitive districts are required and studied in this paper. To quantitatively evaluate and analyse this joint RPR and environmental regulation strategy in multimodal transport systems, this paper develops an environmental constrained combined modal split and traffic assignment (EC-CMSTA) model. The proposed formulation adopts the concept of fix-point to reformulate the nonlinear complementarity conditions associated with the combined modal split and user equilibrium conditions, which is subsequently incorporated into a VI formulated nonlinear complementarity conditions associated with environmental constraints. The proposed VI formulation can handle a general constraint structure, which enhances the modelling adaptability and flexibility. The strictly monotone and Lipschitz continuity properties of this model are rigorously proved, giving rise to efficient algorithms for the model. A customized projection based self-adaptive gradient projection (SAGP) algorithm is then developed. Numerical studies demonstrate that the EC-MSTA model could enhance the behavioural modelling of network users’ travel decisions and assist in quantitatively evaluating the effectiveness of RPR schemes and environmental regulations.
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Daunizeau, Jean, Vincent Adam, and Lionel Rigoux. "VBA: A Probabilistic Treatment of Nonlinear Models for Neurobiological and Behavioural Data." PLoS Computational Biology 10, no. 1 (2014): e1003441. http://dx.doi.org/10.1371/journal.pcbi.1003441.

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Xing, Li, Qingshuai Cao, and Ru Zhang. "Structural behaviour of inner set bolted joints in steel tubes under tension." Advances in Structural Engineering 23, no. 8 (2020): 1601–13. http://dx.doi.org/10.1177/1369433219898084.

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In this article, the structural behaviour of a new continuous joint of steel tube under tension is systematically studied. Structural analyses of six typical joints under tension are carried out. The experimental set-up and details of the specimens are introduced, followed by descriptions of the results and experimental observations. Based on the experimental results, the main behavioural patterns are discussed and the salient response characteristics related to stress concentration and capacity are examined. An ideal elastoplastic stress–strain relationship, Mises yield criterion and geometric nonlinear finite element analysis model are established, and a detailed description of the modelling assumptions is presented. A large number of finite element parameters are further analysed. The experimental and numerical findings presented in this article offer direct information on the influence of key bearing capacity properties, such as the plugged length of the cross-gusset, the area of the cross-gusset and the area of the cushion-plate, on the main response characteristics. The results also provide essential data for future analytical and design-oriented studies.
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Higham, Desmond J., and Henry-Louis de Kergorlay. "Epidemics on hypergraphs: spectral thresholds for extinction." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 477, no. 2252 (2021): 20210232. http://dx.doi.org/10.1098/rspa.2021.0232.

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Epidemic spreading is well understood when a disease propagates around a contact graph. In a stochastic susceptible–infected–susceptible setting, spectral conditions characterize whether the disease vanishes. However, modelling human interactions using a graph is a simplification which only considers pairwise relationships. This does not fully represent the more realistic case where people meet in groups. Hyperedges can be used to record higher order interactions, yielding more faithful and flexible models and allowing for the rate of infection of a node to depend on group size and also to vary as a nonlinear function of the number of infectious neighbours. We discuss different types of contagion models in this hypergraph setting and derive spectral conditions that characterize whether the disease vanishes. We study both the exact individual-level stochastic model and a deterministic mean field ODE approximation. Numerical simulations are provided to illustrate the analysis. We also interpret our results and show how the hypergraph model allows us to distinguish between contributions to infectiousness that (i) are inherent in the nature of the pathogen and (ii) arise from behavioural choices (such as social distancing, increased hygiene and use of masks). This raises the possibility of more accurately quantifying the effect of interventions that are designed to contain the spread of a virus.
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Prentice, Catherine. "Testing complexity theory in service research." Journal of Services Marketing 34, no. 2 (2019): 149–62. http://dx.doi.org/10.1108/jsm-09-2019-0353.

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Purpose This study aims to draw on the complexity theory and uses a non-an asymmetrical method – fuzzy-set qualitative comparative analysis (fsQCA) to test the core tenets of complexity theory, namely, asymmetry, equifinality and causal complexity and valence reversals or conjunction with a focus on testing the relationships between service quality, customer satisfaction and loyalty. Case outcome forecasting accuracy rather than relationships are tested in asymmetric testing. Design/methodology/approach Both symmetrical (structural equation modelling or SEM) and non-symmetrical (fsQCA) methods were used to test the proposed relationships (symmetrical testing) and case outcome forecasting accuracy (asymmetric testing). The former was used as a comparison. The study setting was in Australian airports. The data were collected from departure passengers. Findings The results from SEM and fsQCA differ substantially. The former provides very simplistic findings of variable directional relationships; whereas the latter presents asymmetrical, equifinal and conjunctional relationships regarding service quality, customer satisfaction and behavioural intentions. These findings support the core tenets of the complexity theory. Research limitations/implications The study findings conform to the complexity theory that indicates relationships between variables can be nonlinear and the same causes can produce different effects. The findings suggest the outcomes of interest often result from combined antecedent conditions rather than a single causal factor. The study confirms that asymmetrical thinking relies on Boolean algebra and set theory principles. Originality/value This study uses both symmetrical and asymmetrical methods to reveal the nuanced information about the relationship that has been tested primarily using symmetrical methods.
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Foster, Allen, and Christine Urquhart. "Modelling nonlinear information behaviour: transferability and progression." Journal of Documentation 68, no. 6 (2012): 784–805. http://dx.doi.org/10.1108/00220411211277046.

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Yang, Li-Ming, Te-Lin Shi, and Da-Qing Guo. "Mathematical modelling of nonlinear behaviour of seismicity." Acta Seismologica Sinica 8, no. 2 (1995): 223–32. http://dx.doi.org/10.1007/bf02650485.

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Dissertations / Theses on the topic "Nonlinear behavioural modelling"

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Qi, Hao. "Nonlinear data utilization : direct data look-up to behavioural modelling." Thesis, Cardiff University, 2008. http://orca.cf.ac.uk/54764/.

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Newly developed communication systems put strict requirements on the performance of RF power amplifiers. A key issue for the development of RF PA is the inherent nonlinearity of power amplifiers hindering its integration with the well established small-signal development infrastructure which forms a closely interlinked chain of measurement systems, small-signal models and CAD based simulation and design software. The linkage between these components is provided by common small-signal data import and export file formats ensuring a bidirectional data exchange without any loss of the small-signal information. However, no equivalent infrastructure exists for a large-signal design process inhibiting the development of RF power amplifiers and other nonlinear components. This work demonstrates a coherent methodology aiming to provide equivalent infrastructure for large signal design process as already exists in small signal design process. As first part of the methodology, a new approach is proposed to directly import measured current and voltage waveforms, obtained from a typical Large Signal Network Analyser (LSNA) system recently developed in Cardiff University, into nonlinear CAD simulator for power amplifier design. This approach offers an efficient solution for using large signal characteristic data in CAD-based simulation and PA design as the simulation/design accuracy is guaranteed by measurement and the no lengthy data processing is required. The approach is implemented in Agilent ADS simulator and its validity is comprehensively verified on different devices and device technologies. Moreover, the potential of it in predicting device large signal performance when interpolation or extrapolation is needed is explored. As second part of the methodology, a new large signal nonlinear behavioural approach is proposed from behavioural modelling perspective as a complementation to the direct waveform utilization approach. The proposed modelling approach features in impressive simulation speed while maintaining excellent simulation accuracy. The modelling approach is developed on the basis of polynomial approximation and theoretical analysis shows that the approach can be considered as reasonable extension of S parameter design tool in large signal environment. It's demonstrated in this work that the model is extracted from large signal waveform data with specially designed parameter extraction procedure. The extracted model is verified on several devices and repeatable accuracy can be obtained even on high power devices such as 100w LDMOS. It's illustrated in this work that the above two distinctive approaches can be combined and nicely considered as parts of an integrated nonlinear measurement data utilization strategy. Such a strategy provides a fast and time efficient path to accurate CAD-based nonlinear design even at power levels relevant for base station applications.
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Mirkovic, J. "Modelling of nonlinear behaviour of metallic structure components." Thesis, Cranfield University, 2004. http://dspace.lib.cranfield.ac.uk/handle/1826/10549.

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Engineering has seen an increase in the use of computer simulations over experiments, in order to save time and reduce costs. The improvement of simulation tools continues with the objective of decreasing the difference between the results of numerical simulations and structural response in real mechanical processes. This study was focused on the improvement of simulation tools that will be used in aerospace crashworthiness, with the common type of problem defined as high-Velocity impact loading of thin-walled aluminium alloy structures. In order to achieve the defined task it was decided to develop a suitable material model that can provide the correct material response in the numerical simulations. The material model is developed as a part of the DYNA3D code and can be used for both solid and shell elements. Three phenomena that are essential for impact loading and that are incorporated in the material model are anisotropy, strain rate and temperature dependency, and material failure. The level of anisotropy that is treated is orthotropy which is a good approximation for sheet metal. For the purpose of providing more accurate results of dynamically loaded structures, a strain rate and temperature dependent flow stress definition was added to the material model. Based on the elastic-plastic algorithm with orthotropy and strain rate dependency, a tensile damage model was established. The current 3D damage/failure model is porosity based and allows for the modelling of tensile failure. The model can be applied to impact loading and both shell and solid elements. The performance of the developed material model was investigated by using a series of test cases, including helicopter impact on rigid surface, and the comparison of simulation results to experimental data. It was shown that the developed model provides improved material description in the simulation of aluminium alloys behaviour.
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Kilminster, Devin. "Modelling dynamical systems via behaviour criteria." University of Western Australia. Dept. of Mathematics and Statistics, 2002. http://theses.library.uwa.edu.au/adt-WU2003.0029.

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An important part of the study of dynamical systems is the fitting of models to time-series data. That is, given the data, a series of observations taken from a (not fully understood) system of interest, we would like to specify a model, a mathematical system which generates a sequence of “simulated” observations. Our aim is to obtain a “good” model — one that is in agreement with the data. We would like this agreement to be quantitative — not merely qualitative. The major subject of this thesis is the question of what good quantitative agreement means. Most approaches to this question could be described as “predictionist”. In the predictionist approach one builds models by attempting to answer the question, “given that the system is now here, where will it be next?” The quality of the model is judged by the degree to which the states of the model and the original system agree in the near future, conditioned on the present state of the model agreeing with that of the original system. Equivalently, the model is judged on its ability to make good short-term predictions on the original system. The main claim of this thesis is that prediction is often not the most appropriate criterion to apply when fitting models. We show, for example, that one can have models that, while able to make good predictions, have long term (or free-running) behaviour bearing little resemblance to that exhibited in the original time-series. We would hope to be able to use our models for a wide range of purposes other than just prediction — certainly we would like our models to exhibit good free-running behaviour. This thesis advocates a “behaviourist” approach, in which the criterion for a good model is that its long-term behaviour matches that exhibited by the data. We suggest that the behaviourist approach enjoys a certain robustness over the predictionist approaches. We show that good predictors can often be very poorly behaved, and suggest that well behaved models cannot perform too badly at the task of prediction. The thesis begins by comparing the predictionist and behaviourist approaches in the context of a number of simplified model-building problems. It then presents a simple theory for the understanding of the differences between the two approaches. Effective methods for the construction of well-behaved models are presented. Finally, these methods are applied to two real-world problems — modelling of the response of a voltage-clamped squid “giant” axon, and modelling of the “yearly sunspot number”.
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Nassiri, Esmail. "Modelling nonlinear behaviour of two-dimensional steel structures subjected to cyclic loading." Thesis, Queensland University of Technology, 1998.

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Braghieri, Giovanni. "Application of robust nonlinear model predictive control to simulating the control behaviour of a racing driver." Thesis, University of Cambridge, 2018. https://www.repository.cam.ac.uk/handle/1810/275524.

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The work undertaken in this research aims to develop a mathematical model which can replicate the behaviour of a racing driver controlling a vehicle at its handling limit. Most of the models proposed in the literature assume a perfect driver. A formulation taking human limitations into account would serve as a design and simulation tool for the automotive sector. A nonlinear vehicle model with five degrees of freedom under the action of external disturbances controlled by a Linear Quadratic Regulator (LQR) is first proposed to assess the validity of state variances as stability metrics. Comparison to existing stability and controllability criteria indicates that this novel metric can provide meaningful insights into vehicle performance. The LQR however, fails to stabilise the vehicle as tyres saturate. The formulation is extended to improve its robustness. Full nonlinear optimisation with direct transcription is used to derive a controller that can stabilise a vehicle at the handling limit under the action of disturbances. The careful choice of discretisation method and track description allow for reduced computing times. The performance of the controller is assessed using two vehicle configurations, Understeered and Oversteered, in scenarios characterised by increasing levels of non- linearity and geometrical complexity. All tests confirm that vehicles can be stabilised at the handling limit. Parameter studies are also carried out to reveal key aspects of the driving strategy. The driver model is validated against Driver In The Loop simulations for simple and complex manoeuvres. The analysis of experimental data led to the proposal of a novel driving strategy. Driver randomness is modelled as an external disturbance in the driver Neuromuscular System. The statistics of states and controls are found to be in good agreement. The prediction capabilities of the controller can be considered satisfactory.
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Winkley, Jonathan James. "Behaviour recognition and monitoring of the elderly using wearable wireless sensors : dynamic behaviour modelling and nonlinear classification methods and implementation." Thesis, University of Bradford, 2013. http://hdl.handle.net/10454/5762.

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In partnership with iMonSys - an emerging company in the passive care field - a new system, 'Verity', is being developed to fulfil the role of a passive behaviour monitoring and alert detection device, providing an unobtrusive level of care and assessing an individual's changing behaviour and health status whilst still allowing for independence of its elderly user. In this research, a Hidden Markov Model incorporating Fuzzy Logic-based sensor fusion is created for the behaviour detection within Verity, with a method of Fuzzy-Rule induction designed for the system's adaptation to a user during operation. A dimension reduction and classification scheme utilising Curvilinear Distance Analysis is further developed to deal with the recognition task presented by increasingly nonlinear and high dimension sensor readings, and anomaly detection methods situated within the Hidden Markov Model provide possible solutions to identification of health concerns arising from independent living. Real-time implementation is proposed through development of an Instance Based Learning approach in combination with a Bloom Filter, speeding up the classification operation and reducing the storage requirements for the considerable amount of observation data obtained during operation. Finally, evaluation of all algorithms is completed using a simulation of the Verity system with which the behaviour monitoring task is to be achieved.
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Delgado, M., M. Delgado, A. Rosales, and V. Arana. "Evaluation of the Evacuation of Essential Buildings: Interaction of Structural and Human Behaviour through Nonlinear Time-History Analysis and Agent-Based Modelling." Institute of Physics Publishing, 2020. http://hdl.handle.net/10757/651838.

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In this article, a performance assessment of the evacuation system is established for educational buildings. Structural and geotechnical information of the building is collected and introduced into a database. A similar procedure was realized for the information related to the occupants. Using this information, a) the structural fragility and localized collapse were determined and b) the interaction of the person with the partial collapse was established. For the first aspect, nonlinear time history was used, and for the second, the agent-based modeling was applied to recreate the reaction of people that face the micro collapse. Therefore, the important results of this evaluation are: 1) To localize collapsed beans and columns that make inoperable evacuation routes, 2) to localize bottleneck areas that people concentration during evacuation, and 3) quantification of affected people, in terms of persons caught up in the building that cannot evacuate.
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Del, Masto Alessandra. "Transition d’échelle entre fibre végétale et composite UD : propagation de la variabilité et des non-linéarités." Thesis, Bourgogne Franche-Comté, 2018. http://www.theses.fr/2018UBFCD022/document.

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Bien que les matériaux composites renforcés par fibres végétales (PFCs) représentent une solution attractive pour la conception de structures légères, performantes et à faible coût environnemental, leur développement nécessite des études approfondies concernant les mécanismes à la base du comportement non-linéaire en traction exprimé, ainsi que de la variabilité des propriétés mécaniques. Compte tenu de leur caractère multi-échelle, ces travaux de thèse visent à contribuer, via une approche numérique, à l’étude de la propagation de comportement à travers les échelles des PFCs. Dans un premier temps, l’étude se focalise sur l’échelle fibre : un modèle 3D de comportement de la paroi est d’abord implémenté dans un calcul EF, afin d’établir l’influence de la morphologie de la fibre sur le comportement exprimé. Une fois l’impact non négligeable de la morphologie déterminé, une étude des liens entre morphologie, matériau et ultrastructure et comportement en traction est menée via une analyse de sensibilité dans le cas du lin et du chanvre. La deuxième partie du travail es dédiée à l’échelle du pli de composite. Une nouvelle approche multi-échelle stochastique est développée et implémentée. Elle est basée sur la définition d’un volume élémentaire (VE) à microstructure aléatoire pour décrire le comportement du pli. L’approche est ensuite utilisée pour étudier la sensibilité du comportement du VE aux paramètres nano, micro et mésoscopiques. L’analyse de sensibilité, menée via le développement de la réponse sur la base du chaos polynomial, nous permet ainsi de construire un métamodèle du comportement du pli<br>Although plant-fiber reinforced composites (PFCs) represent an attractive solution for the design of lightweight, high performance and low environmental cost structures, their development requires in-depth studies of the mechanisms underlying their nonlinear tensile behavior, as well as variability of mechanical properties. Given their multi-scale nature, this thesis aims to contribute, using a numerical approach, to the study of the propagation of behavior across the scales of PFCs. Firstly, the study focuses on the fiber scale: a 3D model of the behavior of the wall is first implemented in an EF calculation, in order to establish the influence of fiber morphology on the tensile behavior. Once the non-negligible impact of the morphology has been determined, a study of the links between morphology, material and ultrastructure and tensile behavior is conducted via a sensitivity analysis in the case of flax and hemp. The second part of the work is dedicated to the composite ply scale. A new stochastic multi-scale approach is developed and implemented. It is based on the definition of an elementary volume (VE) with random microstructure to describe the behavior of the ply. The approach is then used to study the sensitivity of VE behavior to nano, micro and mesoscopic parameters. Sensitivity analysis, conducted via the development of the response on the basis of polynomial chaos, allows us to construct a metamodel of the tensile behavior of the ply
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Mazanov, Jason. "Linear versus nonlinear modelling of adolescent smoking : the role of behavioural intention." Phd thesis, 2003. http://hdl.handle.net/1885/151266.

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Hrynyk, Trevor. "Behaviour and Modelling of Reinforced Concrete Slabs and Shells Under Static and Dynamic Loads." Thesis, 2013. http://hdl.handle.net/1807/35851.

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A procedure for improved nonlinear analysis of reinforced concrete (RC) slab and shell structures is presented. The finite element program developed employs a layered thick-shell formulation which considers out-of-plane (through-thickness) shear forces, a feature which makes it notably different from most shell analysis programs. Previous versions were of limited use due to their inabilities to accurately capture out-of-plane shear failures, and because analyses were restricted to force-controlled monotonic loading conditions. The research comprising this thesis focuses on addressing these limitations, and implementing new analysis features extending the range of structures and loading conditions that can be considered. Contributions toward the redevelopment of the program include: i) a new solution algorithm for out-of-plane shear, ii) modelling of cracked RC in accordance with the Disturbed Stress Field Model, iii) the addition of fibre-reinforced concrete (FRC) modelling capabilities, and iv) the addition of cyclic and dynamic analysis capabilities. The accuracy of the program was verified using test specimens presented in the literature spanning various member types and loading conditions. The new program features are shown to enhance modelling capabilities and provide accurate assessments of shear-critical structures. An experimental program consisting of RC and FRC slab specimens under dynamic loading conditions was performed. Eight intermediate-scale slabs were constructed and tested to failure under sequential high-mass low-velocity impact. The data from the testing program were used to verify the dynamic and FRC modelling procedures developed, and to contribute to a research area which is currently limited in the database of literature: the global response of RC and FRC elements under impact. Test results showed that the FRC was effective in increasing capacity, reducing crack widths and spacings, and mitigating local damage under impact. Analyses of the slabs showed that high accuracy estimates can be obtained for RC and FRC elements under impact using basic modelling techniques and simple finite element meshes.
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Books on the topic "Nonlinear behavioural modelling"

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Tervoort, Theodorus Anthonius. Constitutive modelling of polymer glasses: Finite, nonlinear viscoelastic behaviour of polycarbonate. Eindhoven University of Technology, 1996.

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Finney, Mark, Sara McAllister, Torben Grumstrup, and Jason Forthofer. Wildland Fire Behaviour. CSIRO Publishing, 2021. http://dx.doi.org/10.1071/9781486309092.

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Wildland fires have an irreplaceable role in sustaining many of our forests, shrublands and grasslands. They can be used as controlled burns or occur as free-burning wildfires, and can sometimes be dangerous and destructive to fauna, human communities and natural resources. Through scientific understanding of their behaviour, we can develop the tools to reliably use and manage fires across landscapes in ways that are compatible with the constraints of modern society while benefiting the ecosystems.&#x0D; &#x0D; The science of wildland fire is incomplete, however. Even the simplest fire behaviours – how fast they spread, how long they burn and how large they get – arise from a dynamical system of physical processes interacting in unexplored ways with heterogeneous biological, ecological and meteorological factors across many scales of time and space. The physics of heat transfer, combustion and ignition, for example, operate in all fires at millimetre and millisecond scales but wildfires can become conflagrations that burn for months and exceed millions of hectares.&#x0D; &#x0D; Wildland Fire Behaviour: Dynamics, Principles and Processes examines what is known and unknown about wildfire behaviours. The authors introduce fire as a dynamical system along with traditional steady-state concepts. They then break down the system into its primary physical components, describe how they depend upon environmental factors, and explore system dynamics by constructing and exercising a nonlinear model. The limits of modelling and knowledge are discussed throughout but emphasised by review of large fire behaviours. Advancing knowledge of fire behaviours will require a multidisciplinary approach and rely on quality measurements from experimental research, as covered in the final chapters.
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Book chapters on the topic "Nonlinear behavioural modelling"

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Pointon, C. T., R. A. Carrasco, and M. A. Gell. "Complex Behaviour in Nonlinear Systems." In Modelling Future Telecommunications Systems. Springer US, 1996. http://dx.doi.org/10.1007/978-1-4615-2049-8_17.

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Haben, Stephen, Marcus Voss, and William Holderbaum. "Machine Learning Point Forecasts Methods." In Core Concepts and Methods in Load Forecasting. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-27852-5_10.

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AbstractThe traditional statistical and benchmark methods presented in Sect. 9.1 often assume some relatively simple relationship between the dependent and independent variables, be that linear trends, particular seasonalities or autoregressive behaviours. They have performed quite successfully for load forecasting, being quite accurate, even with low amounts of data, and can easily be interpreted by practitioners. However, the methods described in Sect. 9.1 may be less suitable for modelling more complex and highly nonlinear relationships. As data has become more ubiquitous due to increased monitoring, machine learning methods are becoming increasingly common as they can find complicated and subtle patterns in the data.
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Zivaljevic, Vladimir, Dusan Kovacevic, and Zvonko Rakaric. "Analytical and FEM Modelling of the Behaviour of Pile in Dynamic Load Test." In IUTAM Symposium on Exploiting Nonlinear Dynamics for Engineering Systems. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23692-2_24.

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Soleilhet, François, Noureddine Houhou, Karim Benzarti, Sylvain Chataigner, and Marc Quiertant. "Experimental Analysis and Modelling of the Nonlinear Shear Creep Behaviour at the Concrete–FRP Interface." In 8th International Conference on Advanced Composite Materials in Bridges and Structures. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09632-7_44.

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Braghieri, G., and D. Cole. "Modelling human steering behaviour at the limit of adhesion using robust nonlinear model predictive control." In Advanced Vehicle Control AVEC’16. Crc Press, 2016. http://dx.doi.org/10.1201/9781315265285-56.

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Martin, Katharina, Dennis Daub, Burkard Esser, Ali Gülhan, and Stefanie Reese. "Numerical Modelling of Fluid-Structure Interaction for Thermal Buckling in Hypersonic Flow." In Notes on Numerical Fluid Mechanics and Multidisciplinary Design. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-53847-7_22.

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Abstract Experiments have shown that a high-enthalpy flow field might lead under certain mechanical constraints to buckling effects and plastic deformation. The panel buckling into the flow changes the flow field causing locally increased heating which in turn affects the panel deformation. The temperature increase due to aerothermal heating in the hypersonic flow causes the metallic panel to buckle into the flow. To investigate these phenomena numerically, a thermomechanical simulation of a fluid-structure interaction (FSI) model for thermal buckling is presented. The FSI simulation is set up in a staggered scheme and split into a thermal solid, a mechanical solid and a fluid computation. The structural solver Abaqus and the fluid solver TAU from the German Aerospace Center (DLR) are coupled within the FSI code ifls developed at the Institute of Aircraft Design and Lightweight Structures (IFL) at TU Braunschweig. The FSI setup focuses on the choice of an equilibrium iteration method, the time integration and the data transfer between grids. To model the complex material behaviour of the structure, a viscoplastic material model with linear isotropic hardening and thermal expansion including material parameters, which are nonlinearly dependent on temperature, is used.
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Horejš, Otakar, Martin Mareš, Michal Straka, Jiří Švéda, and Tomáš Kozlok. "Adaptive Thermal Error Compensation Model of a Horizontal Machining Centre." In Lecture Notes in Production Engineering. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-34486-2_7.

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AbstractThe state-of-the-art method to reduce CNC machine tool thermal errors is real-time error compensation based on the thermal error estimation models. However, it is difficult to establish a thermal error compensation model with good versatility, high accuracy, and strong robustness due to various manufacturing conditions and a thermally varying surrounding environment. It causes that thermal behaviour of the machine tools is nonlinear and varying in real time. Consequently, the pre-trained and non-adaptive model may not be accurate and robust enough for long-term application. The presented research shows a systematic adaptation technique to update the thermal error compensation model of a horizontal machining centre under varying conditions, which differ from the calibration test. System identification theory is applied to build a dynamic thermal error model for a horizontal machining centre based on calibration test. Linear parametric models of autoregressive with external input (ARX) present an established dynamic method, and its modelling and calculation speed are suitable for real-time applications. Additionally, process-intermittent probing and thermal error model are integrated into the machine management software of the horizontal machining centre to monitor and compensate for thermal errors at the tool centre point (TCP) in real time using C#/C++ programming language. The results show that the prediction accuracy measured as peak-to-peak values and the normalized root mean squared error of the thermal error compensation models are improved by up to 33% and 51%, respectively, when adaptive compensation model is applied.
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Leitner, Stephan. "Corporate Investment." In The Oxford Handbook of Agent-based Computational Management Science. Oxford University Press, 2024. http://dx.doi.org/10.1093/oxfordhb/9780197668122.013.14.

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Abstract This chapter explores the significance of agent-based modelling and simulation in advancing theories in the field of corporate investment. It sheds light on three primary contributions of agent-based techniques: testing assumptions in analytical models, modelling human behaviour realistically, and analysing contingency effects and resulting dynamic and nonlinear effects. First, agent-based modelling enables the rigorous testing of assumptions made in analytical models. By employing agent-based simulations alongside analytical approaches, researchers can critically evaluate the robustness of existing theories. This comparative analysis helps identify the limitations and refine the assumptions underlying corporate investment models, leading to more accurate and reliable theoretical frameworks. Second, agent-based techniques offer a more flexible and realistic means of modelling human behaviour in corporate investment. By incorporating factors such as biases, adaptive behaviour, learning processes, and social norms, agent-based models can capture the complexities of decision-making processes. This enhanced representation of human behaviour facilitates the development of a comprehensive behavioural theory of corporate investment, providing valuable insights into the factors influencing investment decisions and outcomes. Lastly, agent-based modelling allows for the systematic exploration of contingency effects on corporate investment theories. Contingency factors, including firm characteristics, industry dynamics, and economic conditions, significantly influence investment strategies. By integrating these contingencies into agent-based models, researchers can analyse their interactions and understand how they shape investment behaviour, leading to a deeper understanding of the dynamic nature of corporate investment decisions.
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Yogeesh, N. "Fuzzy Logic Modelling of Nonlinear Metamaterials." In Advances in Wireless Technologies and Telecommunication. IGI Global, 2023. http://dx.doi.org/10.4018/978-1-6684-8287-2.ch010.

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Nonlinear metamaterials have interesting properties that could change the way technology works. Modelling the complex behaviour of metamaterials is needed to improve their performance and make new gadgets. This chapter looks at fuzzy logic models for complex effects in metamaterials. This part talks about fuzzy sets, membership functions, fuzzy rules, and inference systems. Metamaterials don't behave in a straight way, so there are problems with describing them. Input factors, membership functions, along with fuzzy rules are talked about in the modelling method of fuzzy logic for nonlinear metamaterials. Acoustic and visual metamaterial case studies show how fuzzy logic models can be used. This part also talks about the latest developments, possible uses, and pros and cons of fuzzy logic models in nonlinear metamaterials. This chapter tells scientists and engineers how to use fuzzy logic to model and understand nonlinear metamaterials.
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Wallis*, Kenneth F. "Seasonal Adjustment and Relations between Variables." In Modelling Seasonality. Oxford University PressOxford, 1992. http://dx.doi.org/10.1093/oso/9780198773177.003.0003.

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Abstract This article studies the effect of official seasonal adjustment procedures on the relations between variables. By considering time-invariant linear filters, and in particular a linear approximation to the Census Method II adjustment program, the effect of adjusting one or both of the variables in a distributed lag relation is examined, and the distortions which can arise are described. Applying the actual (nonlinear) adjustment procedure to artificial data indicates that at least for the particular x-series used, the results of the linear filter analysis provide a good guide to the behaviour of estimates obtained from data adjusted by the official method.
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Conference papers on the topic "Nonlinear behavioural modelling"

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Gartland, Per Olav, and Roy Johnsen. "COMCAPS - Computer Modelling of Cathodic Protection Systems." In CORROSION 1985. NACE International, 1985. https://doi.org/10.5006/c1985-85319.

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Abstract A computer program - COMCAPS - has been developed in order to assist in design of cathodic protection systems. The program is based on the boundary element method (BEM) and uses nonlinear and time dependent cathodic boundary conditions to simulate real polarization conditions during the formation of calcareous deposits. The program computational accuracy is demonstrated. A number of model calculations are shown in order to demonstrate the ability to model fairly complex geometric structures like node areas of offshore structures. Some model calculations using dynamic (time dependent) boundary conditions demonstrate the redistribution of the current distribution by time and reproduce fairly well the dynamic potential and current density behaviour monitored on an offshore platform over two years. Application areas for COMCAPS may include studies involving anode positioning, anode resistance, shielding effects, design safety margins, interference problems, simulation of various design proposals and the use of coatings.
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Schwerz, R., and M. Roellig. "Modelling of Nonlinear, Viscoelastic Material Behaviour for Highly Deformed Polymers towards Accurate Virtual Design in Advanced Electronic Development." In 2025 26th International Conference on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems (EuroSimE). IEEE, 2025. https://doi.org/10.1109/eurosime65125.2025.11006550.

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Hassan, Sheikh, Stoyan Stoyanov, Pushparajah Rajaguru, and Christopher Bailey. "Reduced-Order Modelling for Coupled Thermal-Mechanical Analysis and Reliability Assessment of Power Electronic Modules with Nonlinear Material Behaviours." In 2024 IEEE 10th Electronics System-Integration Technology Conference (ESTC). IEEE, 2024. http://dx.doi.org/10.1109/estc60143.2024.10712079.

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Luqman, Muhammad, Ashhad Zawar Khan, and Muhammad Arif. "Failure Mechanism of Tree-Shape Support Structures under Static and Lateral Loading." In 14th International Civil Engineering Conference. Trans Tech Publications Ltd, 2025. https://doi.org/10.4028/p-pig6ma.

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Trees' consistent shape and robust structure can withstand massive loads, which has influenced numerous architects and design engineers. Tree shape support structures are considered one of the most suitable alternatives to long-span roof-truss systems. Limited research has been undertaken on the structural efficiency of the columns with geometric subdivisions. This study investigates the Y-shape tree column's failure mechanism and damage index under static and lateral load. The variables considered are the external moment, subdivision element angle (θ), and joint failure volume of material (Vdj), investigating buckling and yielding behaviour. SAP2000 and ABAQUS are used in numerical modelling. The results revealed that when sliced half into branches, a symmetric column (prone to local buckling) switches the failure behaviour from buckling/ yielding to joint failure. Furthermore, Vdj has been found more in branches than stems, which increases with branch inclination (96.72% for θ =75o). Considering both static and lateral load simultaneously resulted in a slight reduction (less than 35 %) in total Vdj but made the areas with high-stress asymmetric, making the support structure unfunctional comparatively at lesser load. The sliced column behaved like a single beam/column element for pure lateral load. To brace tree-shaped structures, this study recommends using a triangular wedge by welding the erected branches together just above the joint with the stem, increasing the overall affected joint area and making it resilient by reducing the stress intensity. Yet numerous areas need more exploration, such as integrating nonlinear behaviour and using a multilayer multi-material system utilizing high-fidelity modelling approaches.
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Casas, F., N. Garmendia, and J. Portilla. "Behavioural Modelling Method for RF and Microwave Mixers." In 2006 International Workshop on Integrated Nonlinear Microwave and Millimeter-Wave Circuits. IEEE, 2006. http://dx.doi.org/10.1109/inmmic.2006.283539.

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Raffo, Antonio, Gianni Bosi, Valeria Vadala, and Giorgio Vannini. "Nonlinear modelling of GaN transistors: Behavioural and analytical approaches." In 2015 12th International Conference on Telecommunication in Modern Satellite, Cable and Broadcasting Services (TELSIKS). IEEE, 2015. http://dx.doi.org/10.1109/telsks.2015.7357743.

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O'Droma, Mairtin, and Yiming Lei. "Comparison of four OFDM signal representations approaches for high dynamic range nonlinear PA behavioural modelling." In 2007 European Microwave Integrated Circuit Conference. IEEE, 2007. http://dx.doi.org/10.1109/emicc.2007.4412668.

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Doll, Carsten, Caroline Berard, Andreas Knauf, and Jean-Marc Biannic. "LFT modelling of the 2-DOF longitudinal nonlinear aircraft behaviour." In 2008 IEEE International Conference on Computer-Aided Control Systems (CACSD) part of the Multi-Conference on Systems and Control. IEEE, 2008. http://dx.doi.org/10.1109/cacsd.2008.4627373.

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Ellman, Asko. "Leakage Behaviour of Four-Way Servovalve." In ASME 1998 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1998. http://dx.doi.org/10.1115/imece1998-0486.

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Abstract The paper presents a model for a four-way servovalve which is based on nonlinear modelling of valves’ leakage behaviour. The model is identified according to measured flow rate at valve ports and pressure gain curve. The model can take into account some unsymmetry of the valve. The model is verified in the case of a commercial servovalve.
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Schwingshackl, C. W., and E. P. Petrov. "Modelling of Flange Joints for the Nonlinear Dynamic Analysis of Gas Turbine Engine Casings." In ASME Turbo Expo 2012: Turbine Technical Conference and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/gt2012-69281.

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The finite element analysis of individual components of aircraft engine casings provides high accuracy and a good agreement with the measured response data. However, when these components are assembled, the accuracy of such predictions can significantly deteriorate since models describing stiffness and friction properties of joints are linearised. A full nonlinear analysis of the casing flanges is required to fully include the influence of the bolted joints, model the flexibility in the contact interface, and consider the nonlinear behaviour of the contact due to partial slip and separation. In this paper different nonlinear models of casings are investigated with an available nonlinear analysis tool; A parametric study of the contact interface meshes is conducted to identify a satisfying analysis approach. The dynamic flange behaviour is analysed in detail, including effects of the bolt and normal load distribution. A comparison of the introduced nonlinear modelling with more traditional rigid or linear-elastic flange joint models is carried out to evaluate the effect of the nonlinear approach. The study demonstrates the nonlinear nature of a casing flange joint and highlights the need to include them in the analysis. The detailed modelling of the contact interaction of joints, gives an insight in the nonlinear contact behaviour of flanges of aircraft engine casings, and the predictive capabilities for the nonlinear analysis of gas turbine engines.
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Reports on the topic "Nonlinear behavioural modelling"

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A SIMPLE METHOD FOR A RELIABLE MODELLING OF THE NONLINEAR BEHAVIOUR OF BOLTED CONNECTIONS IN STEEL LATTICE TOWERS. The Hong Kong Institute of Steel Construction, 2022. http://dx.doi.org/10.18057/ijasc.2022.18.1.6.

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The behaviour of bolted connections in steel lattice transmission line towers affects their load-bearing capacity and failure mode. Bolted connections are commonly modelled as pinned or fixed joints, but their behaviour lies between these two extremes and evolves in a nonlinear manner. Accordingly, an accurate finite element modelling of the structural response of complete steel lattice towers requires the consideration of various nonlinear phenomena involved in bolted connexions, such as bolt slippage. In this study, a practical method is proposed for the modelling of the nonlinear response of steel lattice tower connections involving one or multiple bolts. First, the local load-deformation behaviour of single-bolt lap connections is evaluated analytically depending on various geometric and material parameters and construction details. Then, the predicted nonlinear behaviour for a given configuration serves as an input to a 2D/3D numerical model of the entire assembly of plates in which the bolted joints are represented as discrete elements. For comparison purposes, an extensive experimental study comprising forty-four tests were conducted on steel plates assembled with one or two bolts. This approach is also extended to simulate the behaviour of assemblies including four bolts and the obtained results are checked against experimental datasets from the literature. The obtained results show that the proposed method can predict accurately the response of a variety of multi-bolt connections. A potential application of the strategy developed in this paper could be in the numerical modelling of full-scale steel lattice towers, particularly for a reliable estimation of the displacements.
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SIMPLIFIED MODELLING OF NOVEL NON-WELDED JOINTS FOR MODULAR STEEL BUILDINGS. The Hong Kong Institute of Steel Construction, 2021. http://dx.doi.org/10.18057/ijasc.2021.17.4.10.

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Prefabricated modular steel (PFMS) construction is a more efficient and safe method of constructing a high-quality building with less waste material and labour dependency than traditional steel construction. It is indeed critical to have a precise and valuable intermodular joining system that allows for efficient load transfer, safe handling, and optimal use of modular units' strength. Thus, the purpose of this study was to develop joints using tension bolts and solid tenons welded into the gusset plate (GP). These joints ensured rigid and secure connectivity in both horizontal and vertical directions for the modular units. Using the three-dimensional (3D) finite element (FE) analysis software ABAQUS, the study investigated the nonlinear lateral structural performance of the joint and two-storey modular steel building (MSB). The solid element FE models of joints were then simplified by introducing connectors and beam elements to enhance computational efficiency. Numerous parameters indicated that column tenons were important in determining the joint's structural performance. Moreover, with a standard deviation (SD) of 0.025, the developed connectors and beam element models accurately predicted the structural behaviour of the joints. As a result of their simplification, these joints demonstrated effective load distribution, seismic performance, and ductility while reducing computational time, effort, and complexity. The validity of the FE analysis was then determined by comparing the results to the thirteen joint bending tests performed in the reference.
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