Selecting precast concrete building systems

John Messner, Victor E. Sanvido, Masaaki Ikeda

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

Abstract

The development of an integrated computer system to assist in the selection of precast concrete (PC) building systems is described. StructNet, a neural network program, identifies possible structural systems given a project design and various project parameters. The most probable structural systems are then designed to determine the approximate sizes and locations of the members. The Construction and Manufacturing Planning System (CMPS) determines costs, schedules, and resource demands to manufacture and construct these structural systems. From this information, the engineer, along with manufacturing and construction experts, can select the most appropriate structural system for a given project.

Original languageEnglish (US)
Title of host publicationComputing in Civil Engineering (New York)
EditorsKhalil Khozeimeh
PublisherPubl by ASCE
Pages368-371
Number of pages4
Edition1
ISBN (Print)0784400261
StatePublished - Dec 1 1994
EventProceedings of the 1st Congress on Computing in Civil Engineering. Part 1 (of 2) - Washington, DC, USA
Duration: Jun 20 1994Jun 22 1994

Publication series

NameComputing in Civil Engineering (New York)
Number1

Other

OtherProceedings of the 1st Congress on Computing in Civil Engineering. Part 1 (of 2)
CityWashington, DC, USA
Period6/20/946/22/94

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Computer Science Applications

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