000011679 001__ 11679
000011679 005__ 20141205155935.0
000011679 04107 $$aeng
000011679 046__ $$k2008-10-12
000011679 100__ $$aSilvestri, S.
000011679 24500 $$aStatistical Analysis Towards the Identification of Accurate Probability Distribution Models for the Compressive Strength of Concrete

000011679 24630 $$n14.$$pProceedings of the 14th World Conference on Earthquake Engineering
000011679 260__ $$b
000011679 506__ $$arestricted
000011679 520__ $$2eng$$aStructural design deeply involves material strengths, which are obviously affected by uncertainty. As far as the material “concrete” is concerned, building codes (Italian codes, Eurocodes, ACI regulations) typically state that it should be identified and classified by means of its conventional characteristic uniaxial compressive cubic strength at 28 days. Although the fundamental importance of the problem of the evaluation of the characteristic compressive strength of concrete in structural design, the statistical analysis geared to identify an accurate probabilistic model of the concrete strength has not been a central issue of the research works in the field for many years. This paper describes the results of an investigation performed to obtain the compressive strength statistic characteristics of a production of about half a million cubic meters of concrete. This amount of concrete was produced over a five-year period. The results obtained indicate that the statistical distribution that best captures the characteristics of the available experimental data is the Shifted Lognormal. On the other hand, the Italian code and, to some extent, the Eurocode substantially base the evaluation of concrete properties upon a Normal distribution. It is therefore advisable that design codes will encompass the possibility for the engineer to evaluate the concrete properties based upon these more refined statistical models.

000011679 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000011679 653__ $$aconcrete compressive strength, experimental data, probability distribution models, statistical analysis, design codes 

000011679 7112_ $$a14th World Conference on Earthquake Engineering$$cBejing (CN)$$d2008-10-12 / 2008-10-17$$gWCEE15
000011679 720__ $$aSilvestri, S.$$iGasparini, G.$$iTrombetti, T.$$iCeccoli, C.
000011679 8560_ $$ffischerc@itam.cas.cz
000011679 8564_ $$s109380$$uhttps://invenio.itam.cas.cz/record/11679/files/05-03-0135.pdf$$yOriginal version of the author's contribution as presented on CD, Paper ID: 05-03-0135.
000011679 962__ $$r9324
000011679 980__ $$aPAPER