Histride: an integrated software environment for dynamic structural identification View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2006

AUTHORS

Antonella Frigerio , Elia Bon , Guido Mazzà

ABSTRACT

The construction industry is increasingly involved in the survey of existing structures. This is due to limited resources for new construction, a greater environmental awareness and a cultural desire to maintain historic structures. Theoretical models of civil engineering structures are essential for the safety assessment and for the design of alterations. For older structures these models often do not exist. For newer structures “asbuilt” information often does not accurately reflect the work done on site. Given the shortcomings in design data and surveys as a basis for structural models, it is clear that better non-destructive methods are needed for creating reliable models. HISTRIDE greatly extends and simplifies a non-destructive identification approach based on dynamic structural response. Physical parameters of the Finite Element model of a structure are modified to reduce the error between experimental modal features and computed ones. HISTRIDE is a new software environment running on a desktop PC, developed by five European partners within the EC ESPRIT Programme. Main features are: Within the frame of the public research funding for the Italian Electric Sector (named “Ricerca di Sistema”), CESI has recently improved the least squares algorithm of the Histride identification process to try to avoid divergent oscillations that move away from the structural response. The Coupled Local Minimizers (CLM) method has been implemented. This method is based on a cooperative search mechanism set up by performing simultaneously a number of local optimization runs, that are coupled by information exchange instead of running independently. HISTRIDE will be presented with reference to a full scale validation test. More... »

PAGES

752-752

Book

TITLE

III European Conference on Computational Mechanics

ISBN

978-1-4020-4994-1
978-1-4020-5370-2

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/1-4020-5370-3_752

DOI

http://dx.doi.org/10.1007/1-4020-5370-3_752

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1012822410


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