Mostrar el registro sencillo del ítem

dc.contributor.authorNolasco Serna, Christian
dc.contributor.authorAfanador García, Nelson
dc.contributor.authorNoriega Sánchez, Carlos J
dc.coverage.spatialColombiaen_US
dc.date.accessioned2025-10-15T22:02:44Z
dc.date.available2025-10-15T22:02:44Z
dc.date.issued2020
dc.identifier.issn1742-6596en_US
dc.identifier.urihttps://repositorioinstitucional.ufpso.edu.co/xmlui/handle/20.500.14167/5763
dc.description.abstractThis investigation analyzed the uncertainty of compression resistance in the average statistics, standard error, asymmetry, kurtosis and confidence intervals taking into account the Bootstrap method. The implementation of the Bootstrap method in determining the physical properties of the material used in the construction of buildings, is a fundamental tool to establish the physical behavior of existing buildings. The application of the Bootstrap method allowed estimating the statistics for the reported dosages with different samples; 1:2:2, allowing to estimate statistics. The results allowed to determine the probability density function of the average value of the compressive strength and with it, probabilistic resistance values can be established. This research determined statistical results of the compressive strength vital to carry out revision, vulnerability and structural reinforcement studies of existing buildings in the municipality of Oca˜na, Colombia.en_US
dc.language.isoengen_US
dc.relationhttps://iopscience.iop.org/journal/1742-6596en_US
dc.titleEvaluation of uncertainty in determining the physical properties of concrete using Bootstrapen_US
dc.title.translatedEvaluation of uncertainty in determining the physical properties of concrete using Bootstrapen_US
dc.contributor.cvlac[0000016699]en_US
dc.contributor.googlescholar[DriRZs4AAAAJ]en_US
dc.contributor.googlescholar[8Uk1lqUAAAAJ&hl]en_US
dc.contributor.googlescholar[g9XJPNwAAAAJ&hl]en_US
dc.contributor.orcid[0000-0001-6923-3388]en_US
dc.contributor.researchgate[Christian-Serna]en_US
dc.contributor.scopus[57212415000]en_US
dc.description.abstractenglishThis investigation analyzed the uncertainty of compression resistance in the average statistics, standard error, asymmetry, kurtosis and confidence intervals taking into account the Bootstrap method. The implementation of the Bootstrap method in determining the physical properties of the material used in the construction of buildings, is a fundamental tool to establish the physical behavior of existing buildings. The application of the Bootstrap method allowed estimating the statistics for the reported dosages with different samples; 1:2:2, allowing to estimate statistics. The results allowed to determine the probability density function of the average value of the compressive strength and with it, probabilistic resistance values can be established. This research determined statistical results of the compressive strength vital to carry out revision, vulnerability and structural reinforcement studies of existing buildings in the municipality of Oca˜na, Colombia.en_US
dc.subject.proposalEvaluation,physical properties,compressiveen_US
dc.subject.keywordsEvaluation,physical properties,compressiveen_US
dc.publisher.facultyFacultad educación artes y humanidadesen_US
dc.type.redcolhttp://purl.org/redcol/resource_type/ARTen_US
dc.relation.referencesAmerican Society of Testing Materials (ASTM) 2018 Standard Test Method for Compressive Strength of Cylindrical Concrete Specimens, ASTM C39/C39M (West Conshohocken: American Society of Testing Materials)en_US
dc.relation.referencesBich W 1997 The ISO Guide to the Expression of Uncertainty in Measurement: A Bridge Between Statistics and Metrology (United State of America: Series on Advances in Mathematics for Applied Sciences)en_US
dc.relation.referencesAfanador-Garc´ıa N 2016 A polynomial chaos expansion approach to the analysis of uncertainty in viscoelastic structural elements DYNA 83(199) 172-182en_US
dc.relation.referencesEfron B 1979 Bootstrap methods: another look at the jackknife The Annals of Statistics 7(1) 1-26en_US
dc.relation.referencesTauxe L, Kylstra N, Constable C 1991 Bootstrap statistics for paleomagnetic data J. of Geophysical Research: Solid Earth 96(B7) 11723-11740en_US
dc.relation.referencesLedesma R 2008 Introduccci´on al bootstrap. Desarrollo de un ejemplo acompa˜nado de software de aplicaci´on Tutorials in Quantitative Methods for Psychology 4(2) 51-6en_US
dc.relation.referencesWei H W, Xie J, Chau H W, Si B C 2015 Evaluation of parameter uncertainties in nonlinear regression using Microsoft Excel Spreadsheet Environmental Systems Research 4(1) 1-12en_US
dc.relation.referencesGomes M I, Oliveira O 2001 The bootstrap methodology in statistics of extremes—choice of the optimal sample fraction Extremes 4(4) 331-358en_US
dc.relation.referencesMackinnon J G 2006 Bootstrap methods in econometrics Economic Record 82(1) 2-18en_US
dc.relation.referencesLall U, Sharma A 1996 A nearest neighbor bootstrap for resampling hydrologic time series Water Resources Research 32(3) 679-693en_US
dc.relation.referencesAsociaci´on Colombiana de Ingenier´ıa S´ısmica (AIS) 2010 Norma Sismo Resistente Colombiana, NSR-10 (Colombia: Asociaci´on Colombiana de Ingenier´ıa S´ısmica)en_US
dc.relation.referencesBradley E 1979 Computers and the theory of statistics: Thinking the unthinkable SIAM Review 21(4) 460-480en_US
dc.relation.referencesE Bradley, Tibshirani R J 1982 An Introduction to the Bootstrap (United State of America: CRC press)en_US
dc.relation.referencesHall P 2013 The Bootstrap and Edgeworth Expansion (New York: Springer-Verlag)en_US
dc.relation.referencesHjorth J S 2017 Computer Intensive Statistical Methods: Validation, Model Selection, and Bootstrap (United State of America: Routledge)en_US
dc.relation.referencesDimitris P 1995 A Primer on Bootstrap Methods in Statistics (United State of America: Purdue University)en_US
dc.relation.referencesBillingsley P 1995 Probability and Measure (United State of America: John Wiley & Sons)en_US
dc.identifier.DOI10.1088/1742-6596/1645/1/012008en_US


Ficheros en el ítem

Thumbnail

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem