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Multilevel flow modeling (MFM) is a functional modeling methodology that can represent intentional knowledge about systems, which is essential in response planning.
Penn State has developed an agglomeration modeling methodology that considers non-uniform temperature, gaseous atmosphere and heterogeneity in ash chemical composition to predict slag-liquid formation and agglomerate growth rate.
This paper presents a computational modeling methodology that can help determine the realistic load paths and load sharing for light-frame low-rise buildings under wind loadings throughout the linear to the nonlinear range.
XER (Extensible Entity Relationship) is a conceptual modeling methodology that uses visual constructs reminiscent of Entity Relationship (ER) in the logical design of XML instead of relying on the text-based DTD (Document Type Definition) and XML Schema notations.
This study proposes a new modeling methodology that will offer an integrated treatment of intersections and road segments by combining signalized intersections and their adjacent road segments into a single unit based on road geometric design characteristics and operational conditions.
In this paper, we present an integrated modeling methodology that addresses these needs.
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This is followed by the description of a knowledge modelling methodology that may be used to build knowledge models of search routine performance on design domains.
This paper introduces a graphical, computer aided modelling methodology that is particularly suited for the concurrent design of multidisciplinary systems, viz. of engineering systems with mechanical, electrical, hydraulic or pneumatic components, including interactions of physical effects from various energy domains.
The objective of the study is to present a finite element modelling methodology that can, for example, help to fill-in knowledge gaps in the available experimental data pertaining to the tying force resistance of angle-cleated jointing in frame construction.
This paper presents a survey of several formal modeling methodologies that have been used for manufacturing cell control.
The capital rules also currently permit a so-called internal models methodology that is more risk-sensitive than the current exposure methodology but is also complex and requires prior supervisory approval.
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