The physical trial assembly of a complex steel structure is very expensive in terms of time, costs and logistics. For this reason, the trial assembly of the structure in a virtual way, starting ideally from the data contained in the structure BIM, represents a worthwhile alternative to the physical one. In this paper an innovative method for the virtual trial assembly, based on the Generalized Procrustes Analysis, is proposed. This method allows to find out the optimal analytical least squares assembling of the various built elements. The technique permits to verify the feasibility of a structure assembly, and the fulfillment of the design geometries, starting from the real data obtained by an accurate metric survey of the fabricated elements. The method has been applied to a real case, and the obtained results largely satisfy the prefixed research objectives. At the end, some comments will be given in order to further improve the proposed method.

Virtual trial assembly of a complex steel structure by Generalized Procrustes Analysis techniques

BEINAT, Alberto;CROSILLA, Fabio;
2014-01-01

Abstract

The physical trial assembly of a complex steel structure is very expensive in terms of time, costs and logistics. For this reason, the trial assembly of the structure in a virtual way, starting ideally from the data contained in the structure BIM, represents a worthwhile alternative to the physical one. In this paper an innovative method for the virtual trial assembly, based on the Generalized Procrustes Analysis, is proposed. This method allows to find out the optimal analytical least squares assembling of the various built elements. The technique permits to verify the feasibility of a structure assembly, and the fulfillment of the design geometries, starting from the real data obtained by an accurate metric survey of the fabricated elements. The method has been applied to a real case, and the obtained results largely satisfy the prefixed research objectives. At the end, some comments will be given in order to further improve the proposed method.
File in questo prodotto:
File Dimensione Formato  
1-s2.0-S0926580513001817-main.pdf

non disponibili

Tipologia: Versione Editoriale (PDF)
Licenza: Non pubblico
Dimensione 1.67 MB
Formato Adobe PDF
1.67 MB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11390/1037359
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 31
  • ???jsp.display-item.citation.isi??? 32
social impact