scholarly journals A meta model framework for risk analysis, diagnosis and simulation

2014 ◽  
pp. 2043-2049
Author(s):  
H Kanj ◽  
J Flaus
Keyword(s):  
Risk Analysis ◽  
Model Framework ◽  
Meta Model

A Service Registry Meta-model Framework for Interoperability

2011 ◽  
Author(s):  
Zaiwen Feng ◽  
Rong Peng ◽  
Bing Li ◽  
Keqing He ◽  
Chong Wang ◽  
...  
Keyword(s):  
Model Framework ◽  
Meta Model

A Value-Driven Modeling Approach for Crossover Services

2020 ◽  
Vol 17 (3) ◽  
pp. 20-38
Author(s):  
Zhengli Liu ◽  
Bing Li ◽  
Jian Wang ◽  
Yu Qiao
Keyword(s):  
Service Industry ◽  
Requirements Analysis ◽  
Model Framework ◽  
Modeling And Analysis ◽  
Meta Model ◽  
Value Network ◽  
Analysis And Design ◽  
Requirements Modeling ◽  
A Value

In recent years, crossover services have attracted wide attention as an emerging service mode in the modern service industry. Crossover services can offer values that cannot be provided by single-domain services, and they usually need to cross the boundaries of domains, organizations, and processes, which puts forward more challenges for requirements modeling and analysis under the crossover scenarios. Given the characteristics of crossover services, the authors propose a value-driven meta-model framework from multiple viewpoints to support the requirements analysis of crossover services, which consists of three parts: a value network, a goal network, and a service network. Based on the proposed meta-model framework, a value-driven crossover service modeling tool is developed to help requirements analysts in requirements analysis and design, and a case study is presented to illustrate the usage of the proposed approach. Finally, we evaluate our methods and tools using a controlled experiment, and the experimental results show the effectiveness of the approach.

STP Balance of Plant Model Update Experience and Results

2009 ◽  
Author(s):  
Ernie Kee ◽  
Fatma Yilmaz ◽  
Don Wakefield ◽  
Steve Epstein
Keyword(s):  
Risk Analysis ◽  
Fault Tree ◽  
Assessment Model ◽  
Analysis Tool ◽  
Event Tree ◽  
Data Types ◽  
Model Framework ◽  
Production Risk ◽  
Balance Of Plant ◽  
Production Losses

The South Texas Project (STP) balance of plant (BOP) model for production losses has been converted from an Excel-based software application that uses minimal cutsets from a single large fault tree, to a set of small fault trees used within a risk analysis tool, Riskman® [8]. The Riskman® application provides estimates of interest to plant investors and owners such as potential production losses and plant profitability, as well as production reliability and quality (loss frequency, type of loss, loss duration and standard economic risk metrics). The BOP models and methodologies developed are applicable to both fault-tree linking and event-tree linking styles of risk analysis. The STP BOP model is developed to support configuration risk management in two categories: 1) trip risk and concomitant core damage frequency; and 2) non-trip production risk. The primary purpose for the conversion work is to make the STP BOP model framework and application platform consistent with the STP probabilistic risk assessment model. In the course of the conversion, improvements to the Riskman® software have been implemented and techniques to more efficiently produce BOP modeling (fault tree) improvements were developed. Better methods to accurately calculate initiating event frequencies are studied. New data types added to support BOP modeling are described.

scholarly journals A Meta-model Framework forGrinding Simulation

Procedia CIRP ◽  
2015 ◽  
Vol 31 ◽  
pp. 357-362 ◽  
Author(s):  
Marco Leonesio ◽  
Majid Sarhangi ◽  
Giacomo Bianchi ◽  
Paolo Parenti ◽  
Alberto Cassinari
Keyword(s):  
Model Framework ◽  
Meta Model

Optimizing chute-flip bucket system based on meta-modelling approach

2020 ◽  
Vol 47 (5) ◽  
pp. 584-595
Author(s):  
Mohammad Bananmah ◽  
Mohammad Reza Nikoo ◽  
Banafsheh Nematollahi ◽  
Mojtaba Sadegh
Keyword(s):  
Energy Dissipation ◽  
Optimal Design ◽  
Numerical Model ◽  
Computational Time ◽  
Optimization Approach ◽  
Efficient Design ◽  
Model Framework ◽  
Meta Model ◽  
Optimal Geometry ◽  
3D Numerical Model

Optimal design of chute-flip bucket (CFB) system depends on various parameters, among which energy dissipation and cavitation prevention are the most important. This study develops a simulation-optimization model based on a calibrated Flow-3D numerical model, multi-layer perceptron artificial neural network (MLP-ANN), and genetic algorithm (GA) optimization approach for determining the optimal geometry of the CFB system. To alleviate the computational time burden of the Flow-3D numerical model, a MLP-ANN meta-model is developed based on some limited simulations of Flow-3D. The meta-model framework is then coupled with GA to provide an efficient design framework for the CFB system. The proposed framework is employed to design optimal geometry of the CFB system of the Jareh dam in Ahvaz, Iran. The results show that the obtained optimal design increases the cavitation index up to 30% and energy dissipation up to 32% compared to the old engineering design already in place.

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