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Supporting Risk-Based Design by Computational Synthesis

Authors:
Mohammad Rajabalinejad
Robert Velten
Hans Tragter

Keywords: risk-based design; automation; computational synthesis

Abstract:
Risk-based design often starts when the design details are available. Commonly used engineering tools focus on risk assessment for already-detailed designs. This study suggests using automated solutions for early design phases where efficient exploration of design space can lead to solutions that offer better performances with less risk. The paper states the problem, relevant works, and summarizes the steps taken in order to generate solutions for a product complicated to model. A real-world example application is presented.

Pages: 23 to 26

Copyright: Copyright (c) IARIA, 2017

Publication date: April 23, 2017

Published in: conference

ISSN: 2308-3700

ISBN: 978-1-61208-549-4

Location: Venice, Italy

Dates: from April 23, 2017 to April 27, 2017