Estimation of the Scale of Fluctuation for Spatial Variables of RC Structures
Dimensional and structural properties of RC structures are nonhomogenous due to the quality of workmanship, environmental and material variability. One of the required statistical information for spatial variability analysis of RC structures includes the scale of fluctuation, θ. This paper discusses...
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Format: | Tagungsbericht |
Sprache: | eng |
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Zusammenfassung: | Dimensional and structural properties of RC structures are nonhomogenous due to the quality of workmanship, environmental and material variability. One of the required statistical information for spatial variability analysis of RC structures includes the scale of fluctuation, θ. This paper discusses the estimation of θ for two spatial variables; concrete compressive strength and concrete cover. Methods used to estimate the θ are the Curve fitting method and the Kriging Method. Kriging is an optimal interpolation method which uses the concept of randomness that allows the uncertainty of the predicted values to be calculated. Data measurements for concrete compressive strength and concrete cover were obtained from Peterson (1964) and Public Work Department of Malaysia respectively. The most reliable value for θ of fcu was determined and the value obtained for θ of c was found unreliable due to the insufficient of data points from the available data. |
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ISSN: | 2261-236X 2274-7214 2261-236X |
DOI: | 10.1051/matecconf/201710302026 |