scholarly journals DEPEND: a simulation-based environment for system level dependability analysis

1997 ◽  
Vol 46 (1) ◽  
pp. 60-74 ◽  
Author(s):  
K.K. Goswami
Keyword(s):  
System Level ◽  
Simulation Based ◽  
Dependability Analysis

A Reliability-Based Design Method Using Simulation Techniques and Efficient Optimization Approach

2004 ◽  
Author(s):  
Tong Zou ◽  
Sankaran Mahadevan ◽  
Akhil Sopory
Keyword(s):  
Computational Cost ◽  
Nonlinear Problems ◽  
Side Impact ◽  
System Level ◽  
Optimization Approach ◽  
Sequential Approach ◽  
Model Based ◽  
Reliability Based Design ◽  
Reliability Method ◽  
Simulation Based

A novel reliability-based design optimization (RBDO) method using simulation-based techniques for reliability assessments and efficient optimization approach is presented in this paper. In RBDO, model-based reliability analysis needs to be performed to calculate the probability of not satisfying a reliability constraint and the gradient of this probability with respect to each design variable. Among model-based methods, the most widely used in RBDO is the first-order reliability method (FORM). However, FORM could be inaccurate for nonlinear problems and is not applicable for system reliability problems. This paper develops an efficient optimization methodology to perform RBDO using simulation-based techniques. By combining analytical and simulation-based reliability methods, accurate probability of failure and sensitivity information is obtained. The use of simulation also enables both component and system-level reliabilities to be included in RBDO formulation. Instead of using a traditional RBDO formulation in which optimization and reliability computations are nested, a sequential approach is developed to greatly reduce the computational cost. The efficiency of the proposed RBDO approach is enhanced by using a multi-modal adaptive importance sampling technique for simulation-based reliability assessment; and by treating the inactive reliability constraints properly in optimization. A vehicle side impact problem is used to demonstrate the capabilities of the proposed method.

Application of FMI in Metal Casting Press-Forming Process

2020 ◽  
Author(s):  
Zhong Xingli ◽  
Ji Linhong ◽  
Li Sheng ◽  
Lu Yijia
Keyword(s):  
Coupling Effect ◽  
Computation Time ◽  
System Level ◽  
Metal Casting ◽  
Hydraulic Systems ◽  
Forming Process ◽  
Modeling Tools ◽  
System Level Simulation ◽  
Press Forming ◽  
Simulation Based

Abstract Accurate simulation of metal casting press-forming process needs to consider mutual coupling effects in a number of different fields of physics subsystem. Hydraulic systems, control systems and mechanical systems are the most important subsystems among them. It is difficult to create various subsystems in detail in a single modeling tools, so co-simulation technology is used to take advantage of different tools to achieve the entire physical process of system-level simulation. The paper researched the co-simulation in the Abaqus software and the Matlab software based on FMI standard, considered fully the coupling effect between different systems, and simulated the metal casting press-forming process. The simulation results showed that co-simulation based on FMI standard can be well suited for multi-disciplinary co-simulation in complex mechanical model, and played a well-guiding role in the engineering design. The co-simulation would take more computation time than traditional simulation, but it can be achieved to research the integrated features of system and to reduce greatly experiments costs and prototype trial risks by using this technology.

scholarly journals System-Level Optimization of Multi-Modal Transportation Networks for Energy Efficiency using Personalized Incentives: Formulation, Implementation, and Performance

2019 ◽  
Vol 2673 (12) ◽  
pp. 425-438
Author(s):  
Andrea Araldo ◽  
Song Gao ◽  
Ravi Seshadri ◽  
Carlos Lima Azevedo ◽  
Hossein Ghafourian ◽  
...  
Keyword(s):  
Energy Savings ◽  
Heuristic Method ◽  
System Optimization ◽  
System Level ◽  
Online Computation ◽  
Simulation Based ◽  
Wide Energy ◽  
And Performance ◽  
The Individual

The paper presents the system optimization (SO) framework of Tripod, an integrated bi-level transportation management system aimed at maximizing energy savings of the multi-modal transportation system. From the user’s perspective, Tripod is a smartphone app, accessed before performing trips. The app proposes a series of alternatives, consisting of a combination of departure time, mode, and route. Each alternative is rewarded with an amount of tokens which the user can later redeem for goods or services. The role of SO is to compute the optimized set of tokens associated with the available alternatives to minimize the system-wide energy consumption under a limited token budget. To do so, the alternatives that guarantee the largest energy reduction must be rewarded with more tokens. SO is multi-modal, in that it considers private cars, public transit, walking, car pooling, and so forth. Moreover, it is dynamic, predictive, and personalized: the same alternative is rewarded differently, depending on the current and the predicted future condition of the network and on the individual profile. The paper presents a method to solve this complex optimization problem and describe the system architecture, the multi-modal simulation-based optimization model, and the heuristic method for the online computation of the optimized token allocation. Finally it showcases the framework with simulation results.

scholarly journals Modeling and Implementation of a Power Estimation Methodology for SystemC

2012 ◽  
Vol 2012 ◽  
pp. 1-12 ◽  
Author(s):  
Matthias Kuehnle ◽  
Andre Wagner ◽  
Alisson V. Brito ◽  
Juergen Becker
Keyword(s):  
Power Analysis ◽  
Input Data ◽  
Power Estimation ◽  
System Level ◽  
Power Monitoring ◽  
Simulation Based ◽  
Speed Up ◽  
Logic Modules ◽  
Implicit Power ◽  
Power Evaluation

This work describes a methodology to model power consumption of logic modules. A detailed mathematical model is presented and incorporated in a tool for translation of models written in VHDL to SystemC. The functionality for implicit power monitoring and estimation is inserted at module translation. The translation further implements an approach to wrap RTL to TLM interfaces so that the translated module can be connected to a system-level simulator. The power analysis is based on a statistical model of the underlying HW structure and an analysis of input data. The flexibility of the C++ syntax is exploited, to integrate the power evaluation technique. The accuracy and speed-up of the approach are illustrated and compared to a conventional power analysis flow using PPR simulation, based on Xilinx technology.

A Risk-Informed Decision Making Methodology for Evaluating Failure Impact of Early System Designs

2008 ◽  
Author(s):  
Tolga Kurtoglu ◽  
Irem Y. Tumer
Keyword(s):  
Decision Making ◽  
System Development ◽  
Informed Decision ◽  
System Level ◽  
Analysis Tool ◽  
Informed Decision Making ◽  
Simulation Based ◽  
System Risk ◽  
Guide System ◽  
The Impact

In this paper, we introduce a new risk-informed decision-making methodology for use during early design of complex systems. The proposed approach is based on the notion that a failure happens when a functional element in the system does not perform its intended task. Accordingly, risk is defined depending on the role of functionality in accomplishing designed tasks. A simulation-based failure analysis tool is used to analyze functional failures and their impact on overall system functionality. The analysis results are then integrated into a decision-making framework that relates the impact of functional failures and their propagation to decision making in order to guide system level design decisions. With the help of the proposed methodology, a multitude of failure scenarios can be quickly analyzed to determine the effects of decisions on overall system risk. Using this decision-making approach, design teams can systematically explore risks and vulnerabilities during early, functional stage of system development prior to the selection of specific components. Application of the presented method to a reservoir system design demonstrates these capabilities.

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