The Joint Warfare System (JWARS): a modeling and analysis tool for the Defense Department

Author(s):  
G.F. Stone ◽  
G.A. McIntyre
Author(s):  
Robert Rayner ◽  
M. Necip Sahinkaya ◽  
Ben Hicks

This paper describes a unique, computer-based, mechanism design strategy that takes into account both kinematic and dynamic performance criteria at the synthesis stage of the design process. The strategy can be used to investigate improvements in the design of any existing mechanism with geometric redundancy in its output path. By iteratively varying the form of this redundant portion of the output path, alternative potentially better mechanism designs can be generated using a traditional mechanism synthesis and kinematic analysis method. The generated designs with the most desirable kinematic characteristics can be selected and analyzed using a multi-body, dynamic modeling and analysis tool. Using forward and inverse dynamic analysis the quality of the designs can be quantified. This paper describes work done to apply the strategy to an existing mechanism. An alternative mechanism design was identified with superior dynamic qualities. Kinematic performance was not sacrificed.


2021 ◽  
Author(s):  
Zhouyayan Li ◽  
Ibrahim Demir

It is critical to obtain accurate flood extent predictions in a timely manner in order to reduce flood-related casualties and economic losses. Running a real-time flood inundation mapping model is a critical step in supporting quick flood response decisions. Most inundation systems, on the other hand, are either overly demanding in terms of data and computing power or have limited interaction and customization with various input and model configurations. This paper describes a client-side web-based real-time inundation mapping system based on the Height Above the Nearest Drainage (HAND) model. The system includes tools for hydro-conditioning terrain data, modifying terrain data, custom inundation mapping, online model performance evaluation, and hydro-spatial analyses. Instead of only being able to work on a few preprocessed datasets, the system is ready to run in any region of the world with limited data needs (i.e., elevation). With the system's multi-depth inundation mapping approach, we can use water depth measurements (sensor-based or crowdsourced) or model predictions to generate more accurate and realistic flood inundation maps based on current or future conditions. All of the system's functions can be performed entirely through a client-side web browser, without the need for GIS software or server-side computing. For decision-makers and the general public with limited technical backgrounds, the system provides a one-stop, easy-to-use flood inundation modeling and analysis tool.


2010 ◽  
Vol 118-120 ◽  
pp. 566-570
Author(s):  
Wei Ping Wang ◽  
Shi Yi Bao ◽  
Zeng Liang Gao

Given the existing difficulties in conventional reliability models and the limitations of the current SPN software tools in terms of modeling system reliability, a software tool for modeling system reliability based on SPN named RelSPN@zer is developed, describing both the general structure and the underlying numerical methods of the tool. RelSPN@zer provides a unified framework for the modeling and evaluation of SPN running under MATLAB environment and is especially tailed to the system reliability analysis. Many metrics of system reliability can be obtained both under stationary and transient state. An example is given to illustrate the use of this package.


Author(s):  
Martin Milkovits ◽  
Rachel Copperman ◽  
Jeffrey Newman ◽  
Jason Lemp ◽  
Thomas Rossi ◽  
...  

Traditionally, travel forecasting models have been used to provide single point predictions. That is, a single future scenario is developed and the model is applied to that scenario. This approach, however, ignores the deep uncertainty that exists in future land use, demographic, and transportation systems inputs, not to mention the uncertainty that exists in the model itself. More importantly, transportation policy decisions made on the basis of such model outputs may be misguided and ineffective. This paper demonstrates and motivates the use of travel forecasting models in an exploratory manner that accounts for the inherent uncertainties of the future. Specifically, this paper describes the user workflow for a new planning and modeling tool: the Travel Model Improvement Program Exploratory Modeling and Analysis Tool (TMIP-EMAT) that has been developed to facilitate the use of exploratory techniques with travel forecasting models. Examples from the proof of concept deployment using the Greater Buffalo-Niagara Regional Transportation Council regional travel demand model are included. The goal of the longer term study is to provide TMIP-EMAT for state and regional transportation planning agencies to assess how technological innovations will affect traffic and transit demand on major corridors 20 to 30 years down the road. The tool will illuminate interactions between transportation supply and demand on urban surface transportation systems (especially at the corridor level) through exploratory modeling and simulation, and facilitate insights into potential, possible, plausible, probable or preferred futures.


Author(s):  
Rajesh Verma ◽  
Ashu Gupta ◽  
Kawaljeet Singh

An increase in the use of simulation as a modeling and analysis tool has resulted in a growing number of simulation software products in the market. Companies are seeking advice about the desirable features of software for manufacturing simulation, depending on the purpose of its use. Because of this, the importance of an adequate approach to simulation software evaluation and comparison is apparent. This paper presents a critical evaluation of several widely used manufacturing simulators: ProModel, AutoMod, HyperMesh and ProcessModel. Following a review of research into simulation software evaluation, an evaluation and comparison of the above simulators is performed. The main purpose of this evaluation and comparison is to discover the suitability of certain types of simulators for particular purposes. Keywords: Simulation; Simulation software; Evaluation; Comparison; Rating DOI: 10.3126/kuset.v5i1.2851 Kathmandu University Journal of Science, Engineering and Technology Vol.5, No.1, January 2009, pp 104-120


2017 ◽  
Author(s):  
Reza Ghafouri-Azar ◽  
Rosha Banan ◽  
Miodrag (Mike) Stojakovic

In order to understand the behavior of bolted joints and select a right size, type and gasket load combination, a detailed analysis tool is very helpful. However, the modeling and analysis of a bolted joint connection is a complicated, complex process; particularly if multiple parts are considered in the Finite Element (FE) modeling. Analysis results are often sensitive to bolt pre-torque, gasket type, gasket thickness and other challenges of Finite Element (FE) modeling. In addition, often credible and reliable gasket deflection-load data are not readily available. The bolted joint under study was a double-gasket joint with inner gasket leakoff. The joint has leaked on several occasions, sometimes after several years of service due to warmup/cooldown cycling and sometimes immediately after installation and pressurization. A 3-D FE model was developed for assembly of tubesheet, bolt, two inner and outer gaskets, and vessel cover. Different cases were studied by changing gasket load-deflections for different gasket materials, gasket thicknesses and bolt loads. The outcome of the analyses was used to predict the behavior of bolted joints and understand the root cause of leakage. The results provided guidance for choosing the right combination of bolt pre-torque and gasket type.


Author(s):  
James Davis ◽  
Jason Scott ◽  
Janos Sztipanovits ◽  
Gabor Karsai ◽  
Marcus Martinez

Abstract Modeling and analysis of high consequence, high assurance systems requires special modeling considerations. System safety and reliability information must be captured in the models. Previously, high consequence systems were modeled using separate, disjoint models for safety, reliability, and security. The MultiGraph Architecture facilitates the implementation of a model-integrated system for modeling and analysis of high assurance systems. Among the tools used for analyzing safety and reliability are a behavioral simulator and an automatic fault tree generation and analysis tool. Symbolic model checking techniques are used to efficiently investigate the system models. A method for converting finite state machine models to ordered binary decision diagrams allows the application of symbolic model checking routines to the system models. This integrated approach to modeling and analysis of high consequence systems ensures consistency between the models and the different analysis tools.


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