Relevant bibliographies by topics / Joint simulation-optimisation

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Joint simulation-optimisation'

Author: Grafiati
Published: 19 February 2023

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Journal articles on the topic "Joint simulation-optimisation"

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Purnomo, Muhammad Ridwan Andi, Dzuraidah Abdul Wahab, and Ade Rizqy Anugerah. "Optimisation of the Single-Vendor Single-Buyer Supply Chain System under Fuzzy Demand Using Optimisation–Simulation Closed Loop Technique." Mathematical Modelling of Engineering Problems 9, no. 5 (December 13, 2022): 1343–51. http://dx.doi.org/10.18280/mmep.090524.

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This research aims to model and optimise the most applicable supply chain system, which is a single-vendor single-buyer system with fuzzy buyer demand. An optimisation model of the supply chain system under consideration is built by formulating the objective function, which is minimising the joint total cost between a buyer and a vendor. The model is developed on the basis of a simulation system, and optimisation is carried out by utilising a Genetic Algorithm that has been embedded in the simulation system. This technique is called optimisation–simulation closed loop. The vendor actual condition, which deals with uncertain demands from the main buyer and other small buyers, is considered. To analyse timely supply chain events, a simulation system is developed. A new optimisation model for the single-vendor single-buyer supply chain system with fuzzy demand is developed on the basis of the simulation system. The use of optimisation–simulation closed loop is also a new finding. In this study, the optimisation model of the supply chain under consideration is developed by taking into account a specific condition in which the vendor receives demands from the main buyer and other small buyers. Naturally, buyer demand is uncertain and has been modelled using a fuzzy set. The use of optimisation–simulation closed loop enables the supply chain to make the optimum decision when at the steady state condition.
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Volsem, Sofie Van. "Joint optimisation of all inspection parameters for multistage processes: evolutionary algorithm and simulation." International Journal of Innovative Computing and Applications 2, no. 3 (2010): 170. http://dx.doi.org/10.1504/ijica.2010.033648.

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Indukuri, Rama pavan Kumar Varma, Rama Murty Raju P., Srinivasa Rao Ch, and Rajesh S. "Process Parameters Optimisation and Numerical Simulation of Laser Beam Welded Butt Joints of Maraging Steel." International Journal of Automotive and Mechanical Engineering 19, no. 2 (June 28, 2022): 9709–20. http://dx.doi.org/10.15282/ijame.19.2.2022.07.0749.

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Maraging steels are ultra-high strength iron nickel-based alloys which are used in military applications like rocket motor casings, missiles, and ship hulls. In the current work, maraging steels of 250 grade butt joints with 2 mm thickness are welded by using Nd:YAG laser. The experiments were designed and conducted using the L16 orthogonal array. Various welding parameters selected for the current work are laser power, welding speed, and focal position, whereas tensile strength, hardness and depth of penetration were considered as the output responses. The influence of process variables on weld bead morphology was analysed experimentally. The microstructure, mechanical characteristics and numerical analysis of the optimum joint were also investigated. Analysis of variance (ANOVA) was used to determine the effect of different variables on tensile strength and depth of penetration. According to the results, laser power and welding speed are essential factors for tensile strength. The depth of penetration is strongly influenced by welding speed, focal position, and laser power. In order to predict the weld bead, finite element analysis was performed on ABAQUS 3D finite element software. The results reveal that finite element simulation and experimental observations are matched.
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Nyong-Bassey, Bassey, and Ayebatonye Marttyns Epemu. "Inverse Kinematics Analysis of Novel 6-Dof Robotic Arm Manipulator for Oil and Gas Welding Using Grey Wolf Algorithm." International Journal on Robotics, Automation and Sciences 4 (July 8, 2022): 13–22. http://dx.doi.org/10.33093/ijoras.2022.4.3.

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his paper presents a grey-wolf algorithm for solving the inverse kinematics of a newly designed 6-degree-of-freedom robotic arm for oil and gas pipeline welding which has not been used in the literature. Consequently, due to the robot’s multiple joints with compounding combinatory possibilities of joint angles, analysis of the inverse kinematics is relatively complex. In this research, grey-wolf algorithm, a swarm-based meta-heuristic algorithm, has been used to solve for the inverse kinematics of the robotic arm with respect to tracking a rectangular trajectory with six sets of waypoints in the 3D [X, Y, Z] space. The results were further analyzed in terms of the accuracy of the position of end effector from the accurate position of the rectangular target trajectory via a mean squared error cost function. Furthermore, results of comparison between the grey-wolf algorithm and the particle swarm optimisation, an alternate swarm algorithm with respect to position error from the inverse kinematics task is also presented. The results obtained via simulation clearly demonstrates the superior performance of the grey-wolf algorithm compared to particle swarm optimisation with respect to the solving an inverse kinematics task
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Xu, Enyong, Shuilong He, Weiguang Zheng, Tao Tang, Chao Li, and Qibai Huang. "Research on Cab Vibration Control Based on Parameter Hierarchical Interaction Model." Shock and Vibration 2020 (October 21, 2020): 1–15. http://dx.doi.org/10.1155/2020/8841598.

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The vibration level of a cab affects the passenger’s ride comfort and safety significantly. It is of great importance to control the vibration level of cabs under various driving conditions. The associated vibration transfer paths of cabs are studied by using a hierarchical analysis method of a parameter index. The multiobjective design analysis is carried out by using the multiparameter joint optimisation design. Further, the optimal control of the cab vibration level is obtained from a full-condition simulation environment. Additionally, a multibody vehicle model is established. The simulation analysis under multiple working conditions is conducted. The optimal parameter distribution of the cab mounting structure was established by analysing the influence of the design parameters and experimental verification. This greatly improves the comfort of the cab.
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Killen, Bryce A., Antoine Falisse, Friedl De Groote, and Ilse Jonkers. "In Silico-Enhanced Treatment and Rehabilitation Planning for Patients with Musculoskeletal Disorders: Can Musculoskeletal Modelling and Dynamic Simulations Really Impact Current Clinical Practice?" Applied Sciences 10, no. 20 (October 16, 2020): 7255. http://dx.doi.org/10.3390/app10207255.

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Over the past decades, the use of computational physics-based models representative of the musculoskeletal (MSK) system has become increasingly popular in many fields of clinically driven research, locomotor rehabilitation in particular. These models have been applied to various functional impairments given their ability to estimate parameters which cannot be readily measured in vivo but are of interest to clinicians. The use of MSK modelling and simulations allows analysis of relevant MSK biomarkers such as muscle and joint contact loading at a number of different stages in the clinical treatment pathway in order to benefit patient functional outcome. Applications of these methods include optimisation of rehabilitation programs, patient stratification, disease characterisation, surgical pre-planning, and assistive device and exoskeleton design and optimisation. This review provides an overview of current approaches, the components of standard MSK models, applications, limitations, and assumptions of these modelling and simulation methods, and finally proposes a future direction.
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Ye, Xuan, Lan Luo, Li Hou, Yang Duan, and Yang Wu. "Laser Ablation Manipulator Coverage Path Planning Method Based on an Improved Ant Colony Algorithm." Applied Sciences 10, no. 23 (December 3, 2020): 8641. http://dx.doi.org/10.3390/app10238641.

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Coverage path planning on a complex free-form surface is a representative problem that has been steadily investigated in path planning and automatic control. However, most methods do not consider many optimisation conditions and cannot deal with complex surfaces, closed surfaces, and the intersection of multiple surfaces. In this study, a novel and efficient coverage path-planning method is proposed that considers trajectory optimisation information and uses point cloud data for environmental modelling. First, the point cloud data are denoised and simplified. Then, the path points are converted into the rotation angle of each joint of the manipulator. A mathematical model dedicated to energy consumption, processing time, and path smoothness as optimisation objectives is developed, and an improved ant colony algorithm is used to solve this problem. Two measures are proposed to prevent the algorithm from being trapped in a local optimum, thereby improving the global search ability of the algorithm. The standard test results indicate that the improved algorithm performs better than the ant colony algorithm and the max–min ant system. The numerical simulation results reveal that compared with the point cloud slicing technique, the proposed method can obtain a more efficient path. The laser ablation de-rusting experiment results specify the utility of the proposed approach.
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Menser, Bernd, Dirk Manke, Detlef Mentrup, and Ulrich Neitzel. "A MONTE-CARLO SIMULATION FRAMEWORK FOR JOINT OPTIMISATION OF IMAGE QUALITY AND PATIENT DOSE IN DIGITAL PAEDIATRIC RADIOGRAPHY." Radiation Protection Dosimetry 169, no. 1-4 (November 30, 2015): 371–77. http://dx.doi.org/10.1093/rpd/ncv483.

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Chen, H., X. Fang, Z. Zhang, X. Xie, H. Nie, and X. Wei. "Parameter optimisation of a carrier-based UAV drawbar based on strain fatigue analysis." Aeronautical Journal 125, no. 1288 (February 11, 2021): 1083–102. http://dx.doi.org/10.1017/aer.2021.1.

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ABSTRACTCarrier-based unmanned aerial aircraft (UAV) structure is subjected to severe tensile load during takeoff, especially the drawbar, which affects its fatigue performance and structural safety. However, the complex structural features pose great challenges for the engineering design. Considering this situation, a structural design, fatigue analysis, and parameters optimisation joint working platform are urgently needed to solve this problem. In this study, numerical analysis of strain fatigue is carried out based on the laboratory fatigue failure of the carrier-based aircraft drawbar. Taking the sensitivity of drawbar parameters to stress and life into account and optimum design of drawbar with fatigue life as a target using the parametric method, this study also includes cutting-edge parameters of milling cutters, structural details of the drawbar and so on. Then an experimental design is applied using the Latin hypercube sampling method, and a surrogate model based on RBF neural network is established. Lastly, a multi-island genetic algorithm is introduced for optimisation. The results show that the error between the obtained optimal solution and simulation is 0.26%, while the optimised stress level is reduced by 15.7%, and the life of the drawbar is increased by 122%.
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Zahedi-Hosseini, Farhad, Philip Scarf, and Aris Syntetos. "Joint optimisation of inspection maintenance and spare parts provisioning: a comparative study of inventory policies using simulation and survey data." Reliability Engineering & System Safety 168 (December 2017): 306–16. http://dx.doi.org/10.1016/j.ress.2017.03.007.

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Dissertations / Theses on the topic "Joint simulation-optimisation"

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Zahedi-Hosseini, F. "Modelling and simulation for the joint optimisation of inspection maintenance and spare parts inventory in multi-line production settings." Thesis, University of Salford, 2017. http://usir.salford.ac.uk/44353/.

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A simulation methodology is developed to model the joint optimisation of preventive maintenance and spare parts inventory in multi-line settings. The multi-line machines are subject to failure, based on the delay-time concept, and a selection of policies are used for the replenishment of the machines’ critical component. Production lines of varied configurations are modelled and described in three principal chapters. Firstly, the optimisation of preventive maintenance for a multi-line production system is developed in the context of a case study. The policy proposed indicates that consecutive inspection with priority for failure repair is cost-optimal, which suggests a substantial maintenance cost reduction of 61% compared to the run-to-failure policy. The contribution of this study is first and foremost in narrowing the gap between the theory and practice of managing multi-line systems, and in particular, that the scenarios and policies considered have important economic and engineering implications. In a second study, spare parts provisioning for a single-line system is considered, given that the demand for industrial plant spare parts should be driven, at least in part, by maintenance requirements. A paper-making plant provides a real context, for which simulation models are developed to jointly optimise the planned maintenance and the associated spare part inventory. This challenge is addressed in the context of the failure of parts in service and the replacement of defective parts at inspections of period T, using the delay-time concept, and a selection of replenishment policies. The results indicate that a periodic review policy with replenishment twice as frequent as inspection is cost-optimal. Further discussions and sensitivity analysis give insights into the characteristics and features of the policies considered. Finally, in the third study, the joint optimisation of preventive maintenance and the associated spare parts inventory for a multi-line system is developed using an idealised context. It is found that a review policy with inspection as frequent as replenishment using just-in-time (JIT) ordering is cost-optimal, and also the lowest risk policy; it is associated with the lowest simultaneous machine downtime and low stock-out cost-rates. This is a significant contribution to the literature. An implication of the proposed methodology is that, where mathematical modelling is intractable, or the use of certain assumptions make them less practical, simulation modelling is an appropriate solution tool. Throughout this thesis, the long-run average cost per unit time or cost-rate is used as the optimality criterion. In other contexts, one may wish to use availability or reliability instead. To do so would not change the methodology that is presented here.
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Lu, Yu. "Etude du volume de travail des robots : enveloppe, atteignabilite." Paris, ENSAM, 1988. http://www.theses.fr/1988ENAM0002.

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Proposition d'une methode geometrique de construction de l'enveloppe atteignable d'un robot. En effet, la connaisance des volumes atteignables d'un robot permet de determiner la faisabilite d'une trajectoire, de faciliter le positionnement du robot dans sa cellule de travail et l'optimisation des parametres geometriques de conception du manipulateur. Creation d'un outil de simulation a partir d'une base graphique
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Liu, Penghuan. "Statistical and numerical optimization for speckle blind structured illumination microscopy." Thesis, Ecole centrale de Nantes, 2018. http://www.theses.fr/2018ECDN0008/document.

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La microscopie à éclairements structurés(structured illumination microscopy, SIM) permet de dépasser la limite de résolution en microscopie optique due à la diffraction, en éclairant l’objet avec un ensemble de motifs périodiques parfaitement connus. Cependant, il s’avère difficile de contrôler exactement la forme des motifs éclairants. Qui plus est, de fortes distorsions de la grille de lumière peuvent être générées par l’échantillon lui-même dans le volume d’étude, ce qui peut provoquer de forts artefacts dans les images reconstruites. Récemment, des approches dites blind-SIM ont été proposées, où les images sont acquises à partir de motifs d’éclairement inconnus, non-périodiques, de type speckle,bien plus faciles à générer en pratique. Le pouvoir de super résolution de ces méthodes a été observé, sans forcément être bien compris théoriquement. Cette thèse présente deux nouvelles méthodes de reconstruction en microscopie à éclairements structurés inconnus (blind speckle-SIM) : une approche conjointe et une approche marginale. Dans l’approche conjointe, nous estimons conjointement l’objet et les motifs d’éclairement au moyen d’un modèle de type Basis Pursuit DeNoising (BPDN) avec une régularisation en norme lp,q où p=>1 et 0
Conventional structured illumination microscopy (SIM) can surpass the resolution limit inoptical microscopy caused by the diffraction effect, through illuminating the object with a set of perfectly known harmonic patterns. However, controlling the illumination patterns is a difficult task. Even worse, strongdistortions of the light grid can be induced by the sample within the investigated volume, which may give rise to strong artifacts in SIM reconstructed images. Recently, blind-SIM strategies were proposed, whereimages are acquired through unknown, non-harmonic,speckle illumination patterns, which are much easier to generate in practice. The super-resolution capacity of such approaches was observed, although it was not well understood theoretically. This thesis presents two new reconstruction methods in SIM using unknown speckle patterns (blind-speckle-SIM): one joint reconstruction approach and one marginal reconstruction approach. In the joint reconstruction approach, we estimate the object and the speckle patterns together by considering a basis pursuit denoising (BPDN) model with lp,q-norm regularization, with p=>1 and 0
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Brăileanu, Patricia-Isabela. "Research on optimizing customized prostheses." Thesis, Lyon, 2020. http://www.theses.fr/2020LYSEI062.

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La thèse de doctorat intitulée " Research on optimizing customized prostheses " a pour objectif final de développer un logiciel qui modifie la géométrie d'une tige fémorale en fonction de paramètres prédéterminés après l’analyse des images tomographiques du patient. Afin d'obtenir des résultats, ont été réalisées les études suivantes : Des images tomographiques ont été obtenues de patients avec une hanche saine, de patients avec une hanche arthritique et de patients avec prothèse totale de hanche ; Une planification virtuelle de l'opération de remplacement total de la hanche a été réalisée pour construire une prothèse personnalisée et identifier les paramètres qui peuvent être optimisés ; Des études FEA ont été réalisées sur les tiges prothétiques standard et sur la tige prothétique personnalisée pour observer le comportement mécanique de la prothèse sujet à différentes charges externes ; Après avoir interprété les résultats, nous avons poursuivi le développement du logiciel, son objectif sera l’impression de la tige fémorale personnalisée par la technique de fabrication additive
This thesis aims to develop a virtual surgery planning methodology starting from the traditional Total Hip Replacement preoperative planning and having as final goal the realization of a template prosthesis that can be customized according to the femoral landmarks of each patient. Starting from the traditional preoperative planning of THR, which is done on the patients’ X-Ray and using the same principles of obtaining femoral landmarks, the CT scans of a patient with hip joint related disease that need to undergo a THR surgery were segmented by using specific algorithms in order to extract the patients’ femur and after that was imported in dedicated CAD software in which, with the help of evaluation instruments, all the patients’ femoral landmarks were identified. These femoral landmarks were used to develop a custom prosthesis starting from a standard anatomical femoral stem, which was validated using FEA simulations. Based on the information obtained, the development of a software coded in Python language was done to create somehow a tool that allows the analysis of patients’ CT scans in MPR view, but also in 3D view. It allows the bone segmentation of the affected area in order to obtain a CAD model file and perform the virtual preoperative planning in a CAD dedicated software, and finally use some of these dimensions in order to personalize a custom hip stem based on a pre-existing stem model used as basis for the desired geometrical transformations. The work is completed by printing it with FDM technology, using a biocompatible material to demonstrate the potential of this study, the versatility and the possibility of orienting the femoral stems used in THR towards personalization and AM, avoiding the use of standard prostheses that can lead to postoperative complications and thus leading to the elimination of prostheses “banks” due to the fact that they would no longer be necessary
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Zéanh, Adrien. "Contribution à l'amélioration de la fiabilité des modules IGBT utilisés en environnement aéronautique." Phd thesis, Toulouse, INPT, 2009. http://oatao.univ-toulouse.fr/11959/1/zeanh.pdf.

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L’augmentation de la puissance électrique consommée à bord des avions a récemment conduit à introduire des convertisseurs électroniques de puissance à base d'interrupteurs à IGBT dans de nombreuses applications aéronautiques. L'utilisation de ces interrupteurs diffère de leurs emplois traditionnels dans les domaines du ferroviaire ou de l'automobile. En effet, les sollicitations environnementales ainsi que les cycles de commandes électriques sont différents de ceux rencontrés jusqu’alors, ce qui amène à remettre en cause les résultats actuels au sujet de la durée de vie et de la fiabilité de ces interrupteurs. Face à ces interrogations, les sociétés THALES et Hispano-Suiza se sont associées au sein du programme de l’avion plus électrique MODERNE (MODular ElectRical NEtwork) initié par Airbus, en vue de développer des solutions à haut niveau de fiabilité pour des applications aéronautiques sévères. C’est dans ce contexte que prennent place les présents travaux, dont les objectifs sont dans un premier temps de proposer de nouvelles architectures de modules susceptibles de présenter de meilleures performances d’intégration, et dans un second temps d’en étudier la fiabilité. Pour répondre à ces questions, un état de l'art des technologies utilisables a été mené. La confrontation de ses technologies aux contraintes et recommandations aéronautiques a conduit au choix de deux approches d'assemblage, proposées avec un jeu de matériaux sélectionnés pour leurs propriétés physiques et en conformité avec les réglementations sur l’utilisation de matériaux polluants. À l'issue d'une analyse de défaillances, différents développements ont été conduits afin de modéliser et caractériser le comportement thermique, mécanique puis à défaillance des modules. Des modèles Éléments Finis de structures représentatives des solutions proposées ont alors été mis au point et exploités pour l'élaboration de règles de conception, sur la base de plans d'expériences couplés à de la simulation numériques. Les informations générées ont servi à la conception de trois prototypes destinés à des applications différentes. Les performances de ces prototypes ont été évaluées, notamment leurs fiabilités obtenues par des calculs mécano-fiabilistes ayant permis l'optimisation de la conception des différents modules.
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(7637330), Khalid Karim. "An improved approach to the development of operating policies for multiple reservoir systems." Thesis, 1997. https://figshare.com/articles/thesis/An_improved_approach_to_the_development_of_operating_policies_for_multiple_reservoir_systems/21708203.

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The diminishing potential for development of further reservoirs, coupled with environmental awareness about the negative environmental impacts of reservoir construction and operation, has not only necessitated the need for improved operation of reservoirs through better planning, but has also created an additional demand on reservoirs in the form of instream flow requirements to preserve the ecological integrity of the rivers. The combination of these factors has lead to a considerable interest in both private and government water resources engineering practice in the use of mathematical models for optimisation of reservoir operations.

The optimisation approaches which have been most commonly used for planning the operation of reservoirs are dynamic programming (DP), linear programming (LP) and non-linear programming. While all of these techniques are reasonably effective for optimisation of operation of single reservoirs, dynamic programs are by far the most frequently used partly because of the ease with which they can handle stochasticity of inflow regimes. However, while all the techniques, including dynamic programming techniques, are relatively easily applied to optimisation of single reservoirs, serious theoretical and computational issues arise when they are applied to the optimisation of the operations of multiple reservoir systems, particularly when stochastic issues related to inflow regimes or variation in demands are considered. For this reason, none of the above techniques have been able to be applied directly to the simultaneous optimisation of the operation of multiple reservoir systems. Instead, the optimisation processes have relied upon approximations such as decomposition of a system or joint simulation-optimisation approaches.

The research reported in this thesis proposes a new approach to optimisation of the operation of reservoir systems, particularly multiple reservoir systems. This approach enables improved levels of consideration of the stochasticity of the inflow process while also significantly reducing the computational requirement and permits a more detailed and accurate representation of the system within the optimisation process. The approach is based on consideration of the stochasticity of inflows through the concept of Limiting State Probabilities. These Limiting State Probabilities rely on an assumption of stationarity of monthly transition probability matrices, an assumption which is also commonly used in stochastic reservoir operation models and define a probability distribution of inflows which, for each time period, are independent of the flows in the previous month, but which implicitly incorporate the time period to time period correlations normally captured by Markov processes. The Limiting State Probability vectors for each time period are obtained by a process of multiplication of the transition probability matrices associated with the inflows in that time period and the time period immediately preceding it. These Limiting State Probability vectors are the same as the marginal probabilities of inflows derived from steady state solutions in stochastic dynamic programs. The ability of Limiting State Probability vectors to remove the explicit temporal correlations is derived from the close relationship of Limiting State Probabilities to the long term steady state conditions of optimal reservoir operation. The elimination of temporal correlation also enables the spatial correlation between the inflows to reservoirs at different locations to be considered implicitly rather than explicitly. The spatial correlation is able to be eliminated from explicit consideration in the inflows to the model because the removal of the time period to time period correlation means that the results of a deterministic optimisation of reservoir using an inflow sequence generated by and conforming to the Limiting State Probability are independent of the actual order of inflows in that inflow series. This non-dependence of the results of the optimisation on the order of inflows enables the Limiting State Probability generated inflow sequences to be used as input to each reservoir in a multiple reservoir system with a diminished need to consider spatial correlation of inflows explicitly. The approach is validated first by application to the optimisation of the operation of a single reservoir wherein it is shown that the same results, i.e., optimal operating policies, are obtained when Limiting State Probabilities rather than traditional transition probability matrices are used in the recursive equations of the stochastic dynamic program. Optimal operation of the same single reservoir was then performed by the deterministic modelling technique network linear programming using inflow sequences generated by Limiting State Probabilities. The results obtained from the optimisation technique were similar to those obtained by stochastic dynamic programming with some of the differences being due to use of discrete variables in stochastic dynamic programming and continuous variables in the network linear program. Use of the Limiting State Probability concept was then extended to simultaneous optimisation, using network linear programming, of a multiple reservoir system comprising six reservoirs and seventeen demand centres, plus instream flow requirements. The deterministic inflow inputs, i.e., inflow sequences to each reservoir required by network linear programming were generated on the basis of Limiting State Probabilities relevant to each reservoir. The results of the application of the NLP technique using the inflows generated by Limiting State Probabilities showed the approach to be a computationally tractable and effective means to improved level of consideration of stochasticity of inflows in the optimisation of the operation of multiple reservoir systems.

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Book chapters on the topic "Joint simulation-optimisation"

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Humphreys, Joseph, Christopher Peers, Jun Li, Yuhui Wan, Jingcheng Sun, Robert Richardson, and Chengxu Zhou. "Teleoperating a Legged Manipulator Through Whole-Body Control." In Towards Autonomous Robotic Systems, 63–77. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-15908-4_6.

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AbstractIn this work, we present a highly functional teleoperation system, that integrates a full-body inertia-based motion capture suit and three intuitive teleoperation strategies with a Whole-Body Control (WBC) framework, for quadrupedal legged manipulators. This enables the realisation of commands from the teleoperator that would otherwise not be possible, as the framework is able to utilise DoF redundancy to meet several objectives simultaneously, such as locking the gripper frame in position while the trunk completes a task. This is achieved through the WBC framework featuring a defined optimisation problem that solves a range of Cartesian and joint space tasks, while subject to a set of constraints (e.g. halt constraints). These tasks and constraints are highly modular and can be configured dynamically, allowing the teleoperator to switch between teleoperation strategies seamlessly. The overall system has been tested and validated through a physics-based simulation and a hardware test, demonstrating all functionality of the system, which in turn has been used to evaluate its effectiveness.
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Conference papers on the topic "Joint simulation-optimisation"

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Jbira, Asma, Amel Jaoua, Yann Bouchery, and Zied Jemai. "Simulation based optimisation Model for a joint inventory pricing problem for perishables." In 2018 4th International Conference on Logistics Operations Management (GOL). IEEE, 2018. http://dx.doi.org/10.1109/gol.2018.8378079.

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Chatterjee, S., and K. Madhusoodanan. "Finite Element Simulation of Calandria Tube for the Design Optimisation of Calandria Tube-to-Tube Sheet Rolled Joint Detachment Tool." In 5th International Congress on Computational Mechanics and Simulation. Singapore: Research Publishing Services, 2014. http://dx.doi.org/10.3850/978-981-09-1139-3_056.

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Shahpar, Shahrokh, David Giacche, and Leigh Lapworth. "Multi-Objective Design and Optimisation of Bypass Outlet-Guide Vanes." In ASME Turbo Expo 2003, collocated with the 2003 International Joint Power Generation Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/gt2003-38700.

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This paper describes the development of an automated design optimization system that makes use of a high fidelity Reynolds-Averaged CFD analysis procedure to minimize the fan forcing and fan BOGV (bypass outlet guide vane) losses simultaneously taking into the account the down-stream pylon and RDF (radial drive fairing) distortions. The design space consists of the OGV’s stagger angle, trailing-edge recambering, axial and circumferential positions leading to a variable pitch optimum design. An advanced optimization system called SOFT (Smart Optimisation for Turbomachinery) was used to integrate a number of pre-processor, simulation and in-house grid generation codes and postprocessor programs. A number of multi-objective, multi-point optimiztion were carried out by SOFT on a cluster of workstations and are reported herein.
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Padeletti, Davide, Ronan Costello, and John V. Ringwood. "A Multi-Body Algorithm for Wave Energy Converters Employing Nonlinear Joint Representation." In ASME 2014 33rd International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/omae2014-23864.

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When large relative displacements take place between the bodies in a multi-body Wave Energy Conversion system linearisation of the constraints on motion imposed by the joints between the bodies is no longer valid and a non-linear time-domain analysis is necessary. As a part of the Techno-Economic Optimisation of Wave Energy Conversion (TEOWEC) software, which has been developed at the Centre for Ocean Energy Research (COER), NUI Maynooth, we developed an algorithm for the dynamic simulation of Multi-Body Systems for Wave Energy Conversion (MBS4WEC) with fully non-linear representation of the body-to-body joints. The algorithm is based on the Joint-coordinate formulation, which provides a systematic procedure to transform the mixed differential-algebraic equations of motion in body coordinates, for open chain systems, to a minimal set of ODEs. When a closed-loop chain occurs, the same method can be adopted by removing one or more kinematic joints from each loop. Knowing the topology of the system, a path matrix is generated and together with the formulation of data structures representing the body-to-body joints, the Velocity Transformation Matrix is computed. The main advantage of this approach is a fast and automatic generation of the Velocity Transformation Matrix, which leads to a higher computational efficiency, especially for complex systems. This paper presents the equations underpinning the method together with results for simulation of two specimen floating multi-body systems. These two are a simple multi-body hinged barge and a device with a sliding internal reaction mass. In each case the results are contrasted to the results produced by a linearised analysis of the same system.
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Cheschini, Giuseppe Fabio, Fausto Carlevaro, Giuseppe Racioppi, and Andrea Masi. "Turbogroup Spare Part Optimization by Availability Centered Maintenance Methodology: An Application to LTSA Contract." In ASME Turbo Expo 2003, collocated with the 2003 International Joint Power Generation Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/gt2003-38816.

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Most Oil&Gas companies that currently outsource both maintenance and related engineering activities, by establishing Long Terms Service Agreements (LTSA) with engine manufacturers, base their contracts on several clauses. A minimum level of overall Plant Availability is usually to be guaranteed by the maintenance services supplier. Both parts agree upon this availability threshold and Bonus/Penalty clauses are based on this value. The Availability of a system is a non-linear function of: • Reliability, in terms of components life, system functional configuration and scheduled maintenance frequencies; • Maintainability, in terms of time to repair/restore, duration of scheduled maintenance tasks and special maintenance tools on site; • Logistics. Concerning Logistics, the problem is to define both the set and levels of spare parts in a warehouse for one or more installations (pooling) and the location of the warehouse itself. In this paper a solution for this problem is presented, based on RBD (Reliability Block Diagram) Monte Carlo simulation techniques and an associated What-If analysis. One of the deliverables of this optimisation process is the ranking of all the system components in terms of their influence on the availability of the whole system. This spare part list optimisation is one of the major deliverables of the discipline called ACM “Availability Centered Maintenance”, currently developed in Nuovo Pignone.
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Dawes, William N. "Twenty Five Years of Mesh Generation: A Personal Perspective." In ASME-JSME-KSME 2011 Joint Fluids Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/ajk2011-05016.

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Since starting research in CFD the early 1980’s as a PhD Student I have worked with a variety of mesh types and topologies. The main application areas have been in aerospace, mostly in turbomachinery, but also in racing car aerodynamics and in the oil & gas process industries. The first meshes I used were simple, sheared H meshes for blade-to-blade flows; these were — and still are — perfectly adequate for this class of simulation and are in use to this day in routine design all around the world. However, most application areas are fundamentally more complex, both in terms of geometry and of flow physics, and necessitate more complex mesh systems. Current simulation trends are relentlessly towards using fully featured, fully 3D geometry and effective, high-productivity mesh generation systems have become of central significance. Over the past twenty five years I have worked with simple structured meshes, multi-block meshes, unstructured meshes based both on Delaunay and advancing front paradigms and, more recently, on octree-based cut-Cartesian meshes and associated body-conformal, hybrid meshes. This has gone hand in hand with increasing interest in computational geometry and geometry editing and parameterisation to support automated design optimisation. This paper represents my personal perspective on these experiences.
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Denman, Paul A., Ashley G. Barker, Charith W. Jayatunga, and James J. McGuirk. "Modelling and Measurements of Combustor Cooling Tile Flows." In ASME Turbo Expo 2003, collocated with the 2003 International Joint Power Generation Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/gt2003-38793.

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Pressure to reduce available cooling air in modern combustors has driven recent interest in cooling technology based on double-skinned combustor liners, i.e. tiles containing multiple pin-type pedestals to enhance heat transfer. The design of such systems is, however, hampered by the multiplicity of parameters needing optimisation: feedhole configuration, pedestal configuration, tile configuration (e.g. tile overlap). Much experimental testing is currently needed. In addition, the simulation of flow and heat transfer in cooling tile geometries using RANS-based CFD is made particularly difficult by the impossibility of resolving every individual pin in the pedestal matrix whilst retaining an overall CFD problem of reasonable size. The present paper describes a mixture of experimental and computational work undertaken to explore cooling tile flows. On the experimental side, a large-scale Perspex aerodynamic rig of a cooling tile was constructed. Measurements at representative Reynolds numbers were possible and delivered information on discharge coefficients, pressure drops and flow splits for various tile configurations. The same tile geometries were subsequently modeled using a RANS-based CFD approach. The novelty in these simulations was the use of a ‘sub-grid-scale’ model for the pedestal flow and heat transfer. This approach has previously been used in combustor heatshield predictions; it is demonstrated in the present work how it may also be applied to cooling tiles.
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Curto, Georgina, Nieves Montes, Carles Sierra, Nardine Osman, and Flavio Comim. "A norm optimisation approach to SDGs: tackling poverty by acting on discrimination." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/726.

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Policies that seek to mitigate poverty by acting on equal opportunity have been found to aggravate discrimination against the poor (aporophobia), since individuals are made responsible for not progressing in the social hierarchy. Only a minority of the poor benefit from meritocracy in this era of growing inequality, generating resentment among those who seek to escape their needy situations by trying to climb up the ladder. Through the formulation and development of an agent-based social simulation, this study aims to analyse the role of norms implementing equal opportunity and social solidarity principles as enhancers or mitigators of aporophobia, as well as the threshold of aporophobia that would facilitate the success of poverty-reduction policies. The ultimate goal of the social simulation is to extract insights that could help inform and guide a new generation of policy making for poverty reduction by acting on the discrimination against the poor, in line with the UN “Leave No One Behind” principle. An “aporophobia-meter” will be developed and guidelines will be drafted based on both the simulation results and a review of poverty reduction policies at regional levels.
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Barzi, Mohammad, and Ewen Siu Ming Sze. "Optimising the Jansz-Io Trunkline Next Project Using Integrated Production Modelling." In SPE Asia Pacific Oil & Gas Conference and Exhibition. SPE, 2022. http://dx.doi.org/10.2118/210655-ms.

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Abstract The Chevron-operated Gorgon asset is the largest single resource project in Australia, with a portfolio of offshore gas fields to supply gas via two trunklines (Gorgon and Jansz-Io) to a three-train, 15.6 MTPA LNG plant and a 300 TJ/D domestic gas plant on Barrow Island. Gorgon will be a legacy project, with decades of production anticipated from the development of backfill fields gas resources. To realise the value of the asset, it is critical to select the right projects and execute them at the right time. Greater Gorgon Integrated Production Modelling (IPM) has been developed by Chevron Australia's gas supply team on behalf of the Gorgon Joint Venture (Australian Subsidiaries of Chevron, ExxonMobil, Shell, Osaka Gas, Tokyo Gas and JERA) to specifically enable optimisation of both the subsurface and surface value chain. It integrates reservoirs, wells, and subsea production networks to enable rigorous assessment of various portfolio-level development and planning scenarios. The focus of this paper is on the Jansz-Io trunkline, which is initially supplied by the massive depletion drive Jansz-Io field, and the key decision of how to maintain production post development of the Gorgon Stage 2 (GS2) project. To inform this key decision, extensive evaluation was conducted using coupled INTERSECT (IX) IPM model to assess Jansz-Io Compression (J-IC) concepts (floating platform vs subsea compression). The IX-IPM model includes either detailed IX dynamic simulation or simplified material balance (MBAL) reservoirs, and a detailed production system that captures the full pressure hydraulics and their complex interactions. Using this IX-IPM model, a systematic staircase approach was applied, starting with a minimum facility concept, before sequentially adding more functionalities (power, capacity, phasing and backfill fields tie-in) and quantifying their incremental benefits. This enabled comprehensive understanding of the compression model's pressure hydraulic performance and various value trade-offs at each step. A fit-for-purpose, fixed power compression model was implemented to commence the staircase assessment. Once subsea compression was selected, and as the assessment matured, vendor compressor performance curves were adopted for more rigorous modelling. Overall, the Greater Gorgon coupled IX-IPM model has proved to be invaluable in the assessment of the J-IC concept select and supported the Final Investment Decision (FID) on J-IC in 2021. The coupled IX-IPM model is continually refined with greater engineering resolution and additional production history to support the wider Gorgon asset decisions.
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Sharf, I., and A. Bykov. "Compliance Optimisation for Robotic Assembly." In ASME 2003 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/detc2003/vib-48501.

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Robotic assembly is prone to jamming and wedging, however, both conditions can be alleviated if the manipulator has certain compliance properties. In this article, the problem of compliance optimization of robotic arms is investigated with the view to finding robot configurations that have optimal compliance properties in the end-effector frame. Planar manipulators are considered with joint compliance only, ranging from three-dof to kinematically redundant five-dof arms. Robot configurations are determined with some features of the optimal compliance, starting with decoupling of translational and rotational properties to full isotropy of endpoint compliance. Optimization results also account for small variations of joint stiffness values which can be achieved by adjusting the servo-loop proportional gains. Analysis and optimal solutions are validated with commercial simulation software MSC.ADAMS.
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