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Engineering Informatics to Support Civil Systems Engineering Practice

Conference paper
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Part of the Lecture Notes in Computer Science book series (LNCS, volume 10864)

Abstract

Systems engineering is the interdisciplinary engineering field that focuses on the design of complex physical systems to optimize the system’s performance over its life-cycle. To support such optimization efforts a number of computational modeling methods are required: ontological modeling, stochastic modeling, and process simulation modeling. Despite this need, the field of systems engineering has mainly focused on the development and discussion of managerial methods. This paper tries to provide a first starting point for a discussion about a framework to understand how the above mentioned computational methods can support system engineers. The paper introduces a first set of important methods and tries to integrate them in an overall framework for analysing engineered systems from different points of view. For each of the methods we also provide a simple illustrative example from our ongoing systems engineering teaching efforts at the TU Berlin.

Keywords

International Roughness Index Transverse Span Bridge Deterioration Equivalent Single Axle Loads Parametric Modeling Method 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Civil Systems EngineeringTU BerlinBerlinGermany

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