Modeling Analysis and Simulation Control Mechanism of Resource Ability Occupation

2011 ◽  
Vol 314-316 ◽  
pp. 2116-2123
Author(s):  
Can Xia Shao ◽  
Ai Min Wang ◽  
Hua Wei Chen ◽  
Hong Liang Yuan
Keyword(s):  
Control Mechanism ◽  
Modeling Method ◽  
Capacity Constraint ◽  
Control Logic ◽  
Modeling Framework ◽  
Simulation Control ◽  
Constraint Modeling ◽  
Technological Route ◽  
Set Up ◽  
Constraint Model

The cases of resource ability occupation are always simplified in the traditional study of modeling and simulation (M&S) of manufacturing system, which commonly leads to the situation of untruthful model and unbelieving outcome during simulation. For this problem, a flexible capacity constraint modeling method and its simulation control mechanism are proposed. On the background of similar issues in production, such as parallel occupation of resources, and discrete combination occupation of resource capacities, a modeling framework for production constraints based on hierarchy simulation model is brought forward. First, a fundamental model is established automatically by data-driven modeling method; then, the constraint model is set up through extending of data structure and transforming of control logic. So universal modeling under condition of resource capacity constraint is realized. Next, its simulation control mechanism is analyzed for typical issues of resource ability occupation. At last, effectiveness of above technological route is verified by case study.

Insurance Cycles: Interest Rates and the Capacity Constraint Model

1995 ◽  
Vol 68 (3) ◽  
pp. 383 ◽  
Author(s):  
Neil A. Doherty ◽  
James R. Garven
Keyword(s):  
Interest Rates ◽  
Capacity Constraint ◽  
Constraint Model

Development of Reliable NARX Models of Gas Turbine Cold, Warm and Hot Start-Up

2017 ◽  
Author(s):  
Hilal Bahlawan ◽  
Mirko Morini ◽  
Michele Pinelli ◽  
Pier Ruggero Spina ◽  
Mauro Venturini
Keyword(s):  
Gas Turbine ◽  
Training Data ◽  
Series Data ◽  
Data Sets ◽  
Control Logic ◽  
Start Up ◽  
Hot Start ◽  
Narx Models ◽  
Set Up ◽  
Rapid Transients

This paper documents the set-up and validation of nonlinear autoregressive exogenous (NARX) models of a heavy-duty single-shaft gas turbine. The considered gas turbine is a General Electric PG 9351FA located in Italy. The data used for model training are time series data sets of several different maneuvers taken experimentally during the start-up procedure and refer to cold, warm and hot start-up. The trained NARX models are used to predict other experimental data sets and comparisons are made among the outputs of the models and the corresponding measured data. Therefore, this paper addresses the challenge of setting up robust and reliable NARX models, by means of a sound selection of training data sets and a sensitivity analysis on the number of neurons. Moreover, a new performance function for the training process is defined to weigh more the most rapid transients. The final aim of this paper is the set-up of a powerful, easy-to-build and very accurate simulation tool which can be used for both control logic tuning and gas turbine diagnostics, characterized by good generalization capability.

Modeling mercury cycling in the marine environment

2020 ◽  
Author(s):  
Johannes Bieser ◽  
Ute Daewel ◽  
Corinna Schrum
Keyword(s):  
Numerical Models ◽  
Marine Ecosystem ◽  
Ecosystem Model ◽  
Trophic Levels ◽  
Modeling Framework ◽  
Modeling Tools ◽  
Large Variability ◽  
Marine Ecosystem Model ◽  
Set Up ◽  
Fully Coupled

<p>Five decades of Hg science have shown the <strong>tremendous complexity of the global Hg cycle</strong>. Yet, the pathways that lead from anthropogenic Hg emissions to MeHg exposure through sea food are not fully comprehended. Moreover, the observed amount of MeHg in fish exhibits a large temporal and spatial variability that we cannot predict yet. A key issue is that fully speciated Hg measurements in the ocean are difficult to perform and thus we will never be able to achieve a comprehensive spatial and temporal coverage.</p><p>Therefore, we need complex modeling tools that allow us to fill the gaps in the observations and to predict future changes in the system under changing external drivers (emissions, climate change, ecosystem changes). Numerical models have a long history in Hg research, but so far have virtually only addressed inorganic Hg cycling in atmosphere and oceans.</p><p>Here we present a novel 3d-hydrodynamic mercury modeling framework based on fully coupled compartmental models including atmosphere, ocean, and ecosystem. The generalized high resolution model has been set up for European shelf seas and was used to model the transition zone from estuaries to the open ocean. Based on this model we present our findings on intra- and inter-annual dynamics and variability of mercury speciation and distribution in a coastal ocean. Moreover, we present the first results on the dynamics of mercury bio-accumulation from a fully coupled marine ecosystem model. Most importantly, the model is able to reproduce the large variability in methylmercury accumulation in higher trophic levels.</p>

A Methodology for Quantifying the Perceived Environmental Friendliness of Vehicle Silhouettes in Engineering Design

2009 ◽  
Author(s):  
Tahira Reid ◽  
Richard Gonzalez ◽  
Panos Papalambros
Keyword(s):  
Statistical Analysis ◽  
Design Of Experiments ◽  
Design Optimization ◽  
Engineering Design ◽  
Survey Design ◽  
Modeling Method ◽  
Modeling Framework ◽  
Environmental Friendliness ◽  
Design Attributes

Methods from psychology and engineering are used to quantify subjective, or perceptual, design attributes of artifacts. A modeling framework of perceptual attributes suitable for inclusion in design optimization is presented. The framework includes stimuli development based on design of experiments, survey design, and statistical analysis of data. The proposed modeling method is demonstrated on a subjective attribute we call ‘perceived environmental friendliness’ using vehicle silhouettes as a case study.

A Framework for Energy-Based Kinetostatic Modeling of Compliant Mechanisms

2017 ◽  
Author(s):  
Guimin Chen ◽  
Fulei Ma ◽  
Ruiyu Bai ◽  
Spencer P. Magleby ◽  
Larry L. Howell
Keyword(s):  
Strain Energy ◽  
Compliant Mechanisms ◽  
Modeling Framework ◽  
Geometric Nonlinearities ◽  
Complementary Strain ◽  
Minimum Strain Energy ◽  
Constraint Model ◽  
Future Work

Although energy-based methods have advantages over the Newtonian methods for kinetostatic modeling, the geometric nonlinearities inherent in deflections of compliant mechanisms preclude most of the energy-based theorems. Castigliano’s first theorem and the Crotti-Engesser theorem, which don’t require the problem being solved to be linear, are selected to construct the energy-based kinetostatic modeling framework for compliant mechanisms in this work. Utilization of these two theorems requires explicitly formulating the strain energy in terms of deflections and the complementary strain energy in terms of loads, which are derived based on the beam constraint model. The kinetostatic modeling of two compliant mechanisms are provided to demonstrate the effectiveness of using Castigliano’s first theorem and the Crotti-Engesser theorem with the explicit formulations in this framework. Future work will be focused on incorporating use of the principle of minimum strain energy and the principle of minimum complementary strain energy.

Modeling DCS of Nuclear Power Plant With Extended GO-FLOW Methodology

2017 ◽  
Author(s):  
Lu Hongxing ◽  
Yang Ming ◽  
Dai Xinyu ◽  
Li Wei ◽  
Yoshikawa Hidekazu
Keyword(s):  
Control System ◽  
Flow Model ◽  
Modeling Method ◽  
System Structure ◽  
Control Action ◽  
Volume Control ◽  
Flow Modeling ◽  
Control Logic ◽  
And Control ◽  
The Relationship

GO-FLOW model is a success-oriented system modeling method which describes how the system configures its resources to achieve required functions by using basic functional units in terms of substances and demand flows in the system. The GO-FLOW models, which are directly built according to system structure drawings, can be used to analyze the reliability of a system with time and phased mission problems. With the development of Digital Control System (DCS), the reliability analysis of whole DCS has become an important task. However, there are some shortcomings using the traditional GO-FLOW methodology to model DCS: 1. There are not abundant operators in the GO-FLOW model to describe the control logic in DCS; 2. It is hard to model the relationship between the control actions and hardware devices using traditional GO-FLOW methodology; This paper presents an extended GO-FLOW modeling method. In this study, the GO-FLOW model is supplemented and improved, which can accurately describe the relationship and control logic between the hardware and control action (or human control action) in the running process of the DCS. In this paper, taking the Chemical and Volume Control System (CVCS) as an example, using the extended GO-FLOW modeling method established the model of CVCS, and the model of DCS control logic. This improved modeling method can be applied to the reliability modeling and evaluation of DCS.

scholarly journals An Energy-Based Framework for Nonlinear Kinetostatic Modeling of Compliant Mechanisms Utilizing Beam Flexures

2021 ◽  
pp. 1-18
Author(s):  
Guimin Chen ◽  
Fulei Ma ◽  
Ruiyu Bai ◽  
Weidong Zhu ◽  
Spencer P Magleby ◽  
...  
Keyword(s):  
Strain Energy ◽  
Compliant Mechanisms ◽  
Modeling Framework ◽  
Geometric Nonlinearities ◽  
Complementary Strain ◽  
Constraint Model

Abstract Although energy-based methods have advantages over the Newtonian methods for kinetostatic modeling, the geometric nonlinearities inherent in deflections of compliant mechanisms preclude most of the energy-based theorems. Castigliano's first theorem and the Crotti-Engesser theorem, which don't require the problem being solved to be linear, are selected to construct the energy-based kinetostatic modeling framework for compliant mechanisms in this work. Utilization of these two theorems requires explicitly formulating the strain energy in terms of deflections and the complementary strain energy in terms of loads, which are derived based on the beam constraint model. The kinetostatic modeling of two compliant mechanisms are provided to demonstrate the effectiveness of the explicit formulations in this framework derived from Castigliano's first theorem and the Crotti-Engesser theorem.

scholarly journals A novel yeast hybrid modeling framework integrating Boolean and enzyme-constrained networks enables exploration of the interplay between signaling and metabolism

2020 ◽  
Author(s):  
Linnea Österberg ◽  
Iván Domenzain ◽  
Julia Münch ◽  
Jens Nielsen ◽  
Stefan Hohmann ◽  
...  
Keyword(s):  
Neurological Disorders ◽  
Regulatory Network ◽  
Glucose Repression ◽  
Hybrid Modeling ◽  
Human Diseases ◽  
Crabtree Effect ◽  
Modeling Framework ◽  
Chronological Lifespan ◽  
Regulatory Effects ◽  
Constraint Model

AbstractThe interplay between nutrient-induced signaling and metabolism plays an important role in maintaining homeostasis and its malfunction has been implicated in many different human diseases such as obesity, type 2 diabetes, cancer and neurological disorders. Therefore, unravelling the role of nutrients as signaling molecules and metabolites as well as their interconnectivity may provide a deeper understanding of how these conditions occur. Both signalling and metabolism have been extensively studied using various systems biology approaches. However, they are mainly studied individually and in addition current models lack both the complexity of the dynamics and the effects of the crosstalk in the signaling system. To gain a better understanding of the interconnectivity between nutrient signaling and metabolism, we developed a hybrid model, combining Boolean model, describing the signalling layer and the enzyme constraint model accounting for metabolism using a regulatory network as a link. The model was capable of reproducing the regulatory effects that are associated with the Crabtree effect and glucose repression. We show that using this methodology one can investigat intrinsically different systems, such as signaling and metabolism, in the same model and gain insight into how the interplay between them can have non-trivial effects by showing a connection between Snf1 signaling and chronological lifespan by the regulation of NDE and NDI usage in respiring conditions. In addition, the model showed that during fermentation, enzyme utilization is the more important factor governing the protein allocation, while in low glucose conditions robustness and control is prioritized.Author summaryElucidating the complex relationship between nutrient-induced signaling and metabolism represents a key in understanding the onset of many different human diseases like obesity, type 3 diabetes, cancer and many neurological disorders. In this work we proposed a hybrid modeling approach, combining Boolean representation of singaling pathways, like Snf11, TORC1 and PKA with the enzyme constrained model of metabolism linking them via the regulatory network. This allowed us to improve individual model predictions and elucidate how single components in the dynamic signaling layer affect the steady-state metabolism. The model has been tested under respiration and fermentation, reveling novel connections and further reproducing the regulatory effects that are associated with the Crabtree effect and glucose repression. Finally, we show a connection between Snf1 signaling and chronological lifespan by the regulation of NDE and NDI usage in respiring conditions.

Characterization of the Mechanical Behavior of Cell Components With an Atomic Force Microscope

2010 ◽  
Author(s):  
M. Tartibi ◽  
K. Komvopoulos
Keyword(s):  
Mechanical Behavior ◽  
Atomic Force Microscope ◽  
Mechanical Response ◽  
Eukaryotic Cell ◽  
Applied Force ◽  
Viscoelastic Deformation ◽  
Modeling Framework ◽  
Atomic Force ◽  
Cell Components ◽  
Set Up

The mechanical behavior of eukaryotic cell components is critical to cell mobility, division, signaling, and proliferation. Cell components are in such harmony with each other that often mechanical testing of individual components produces less meaningful results than testing performed within living cells. Moreover, cell components are constantly undergoing growth and remodeling, normally through polymerization and depolymerization. An appropriate experimental and modeling framework is therefore essential for cell mechanics. In this study, a special atomic force microscope (AFM) with controlled adhesion area of the cell to a substrate was used to probe the mechanical response of cells to an external force. This experimental set up enables direct control of the applied force and precise measurement of the cell penetration by the AFM tip. A modeling framework that combines the displacement field with the applied force/stress obtained with the AFM is developed to estimate the mechanical properties of each cell component. The tribological relevance of this research is the viscoelastic deformation of cell components under different contact loads.

Hierarchical QoS Admission Control Mechanism for IEEE 802.16j Mobile Multi-Hop Relay WiMAX Network

2014 ◽  
pp. 205-218
Author(s):  
Rohaiza Yusoff ◽  
Mohd Dani Baba ◽  
Muhammad Ibrahim
Keyword(s):  
Real Time ◽  
Admission Control ◽  
Performance Metrics ◽  
Control Mechanism ◽  
Bandwidth Utilization ◽  
Control Approach ◽  
Ieee 802.16J ◽  
Set Up ◽  
Wimax Network

This chapter presents some performance issues in Worldwide Interoperability for Microwave Access (WiMAX) network and focus on the capability of non-transparent relay in Mobile Multi-Hop Relay (MMR) WiMAX Network. In this work, an admission control mechanism with hierarchy Quality of Service (QoS) is developed for the relay architecture. An open source-based simulator is used to evaluate the three types of QoS classes, which are Unsolicited Grant Access (UGS), Real Time Polling Service (rtPS), and Non-Real Time Polling Service (nrtPS). Two scenarios of non-transparent relay topologies are set up for different numbers of subscribers with different types of QoS application classes. Three performance metrics, which are bandwidth utilization, number of slots used, and number of admitted service flow, are observed and plotted in graph. The results show the hierarchy-based QoS admission control mechanism can enhance the throughput of provided services by 35% compared to the conventional method without the admission control approach.

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