Automatic designing system for piping and instruments arrangement including branches of pipes

Research output: Chapter in Book/Report/Conference proceedingConference contribution

26 Citations (Scopus)

Abstract

Automatic design of piping layout is challenging since it is composed of several numerical and/or combinational optimization problems, e.g., routing problems of pipes including branches, and arrangement problems of equipments. This paper presents a new approach that the branches of pipes are considered to be a variety of equipment. Accordingly, the pipe routing problems are fairly simplified by removing the branches, and it derives a lot of efficient algorithms to solve the pipe arrangement problems. One is a multi-objective genetic algorithm (MOGA) in which the gene represents both the locations of the equipments and the arrangement of the pipes. And a new crossover operation which merges two different piping layouts is proposed. To provide a fairly good initial population for the MOGA, a new heuristics making use of self-organization techniques to arrange equipments is proposed. The efficiency of the approach is demonstrated through two experiments, one is a designing problem including five valves, one pump, and five branches, and the other includes seven valves, one pump, and six branches.

Original languageEnglish
Title of host publicationRINA, Royal Institution of Naval Architects - International Conference on Computer Applications in Shipbuilding 2011, Papers
Pages93-99
Number of pages7
Publication statusPublished - Dec 1 2011
EventInternational Conference on Computer Applications in Shipbuilding 2011 - Trieste, Italy
Duration: Sept 20 2011Sept 22 2011

Publication series

NameRINA, Royal Institution of Naval Architects - International Conference on Computer Applications in Shipbuilding 2011, Papers
Volume3

Other

OtherInternational Conference on Computer Applications in Shipbuilding 2011
Country/TerritoryItaly
CityTrieste
Period9/20/119/22/11

All Science Journal Classification (ASJC) codes

  • Computer Science Applications

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