An Improvement of the Concept Design Analysis Method by the Use of the Avoidance Function

An Improvement of the Concept Design Analysis Method by the Use of the Avoidance Function

Bibliographic Details
Parent link:Applied Mechanics and Materials: Scientific Journal
Vol. 756 : Mechanical Engineering, Automation and Control Systems (MEACS2014).— 2015.— [P. 382-388]
Main Author: Khamukhin A. A. Aleksandr Anatolievich
Corporate Author: Национальный исследовательский Томский политехнический университет (ТПУ) Институт кибернетики (ИК) Кафедра информатики и проектирования систем (ИПС)
Other Authors: Eres M. H.
Summary:Title screen
Avoiding disasters due to resonance is a major concern in construction projects such as buildings, bridges and pipelines. This paper uses the Concept Design Analysis (CODA) method that is capable of supporting the described Value-Driven Design (VDD) methodology. While VDD promotes the use of a system wide ‘value’ function during conceptual design, the CODA method allows mapping customer needs into engineering characteristics in order to calculate a single normalized design metric. The CODA method employs three different merit functions: maximizing (more is better), minimizing (less is better), and optimizing (target is better). This paper proposes a new merit function called avoidance function that allows excluding a range of engineering characteristics, e.g. avoiding a range of resonant frequencies. An example of a simple CODA model for a bicycle wheel design selection with the proposed the avoidance function is presented.
Режим доступа: по договору с организацией-держателем ресурса
Published: 2015
Series:Modelling and Numerical Simulation, Algorithms and Mathematical Methods for Applied Problems
Subjects:
электронный ресурс
труды учёных ТПУ
потребности
клиенты
дизайн
оптимизация
выгоды
катастрофы
строительные объекты
Online Access:http://dx.doi.org/10.4028/www.scientific.net/AMM.756.382
Format: Electronic Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=641373

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