Reference structure models and methodology for service life prediction

Erkki Vesikari

Research output: Chapter in Book/Report/Conference proceedingChapter or book articleScientificpeer-review

Original languageEnglish
Title of host publicationPredictive and Optimised Life Cycle Management: Buildings and Infrastructure
EditorsAsko Sarja
PublisherTaylor & Francis
Pages273-300
ISBN (Electronic)978-0-203-34898-7
ISBN (Print)978-0-415-35393-9
Publication statusPublished - 2006
MoE publication typeA3 Part of a book or another research book

Cite this

Vesikari, E. (2006). Reference structure models and methodology for service life prediction. In A. Sarja (Ed.), Predictive and Optimised Life Cycle Management: Buildings and Infrastructure (pp. 273-300). Taylor & Francis.
Vesikari, Erkki. / Reference structure models and methodology for service life prediction. Predictive and Optimised Life Cycle Management: Buildings and Infrastructure. editor / Asko Sarja. Taylor & Francis, 2006. pp. 273-300
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Vesikari, E 2006, Reference structure models and methodology for service life prediction. in A Sarja (ed.), Predictive and Optimised Life Cycle Management: Buildings and Infrastructure. Taylor & Francis, pp. 273-300.

Reference structure models and methodology for service life prediction. / Vesikari, Erkki.

Predictive and Optimised Life Cycle Management: Buildings and Infrastructure. ed. / Asko Sarja. Taylor & Francis, 2006. p. 273-300.

Research output: Chapter in Book/Report/Conference proceedingChapter or book articleScientificpeer-review

TY - CHAP

T1 - Reference structure models and methodology for service life prediction

AU - Vesikari, Erkki

PY - 2006

Y1 - 2006

M3 - Chapter or book article

SN - 978-0-415-35393-9

SP - 273

EP - 300

BT - Predictive and Optimised Life Cycle Management: Buildings and Infrastructure

A2 - Sarja, Asko

PB - Taylor & Francis

ER -

Vesikari E. Reference structure models and methodology for service life prediction. In Sarja A, editor, Predictive and Optimised Life Cycle Management: Buildings and Infrastructure. Taylor & Francis. 2006. p. 273-300