Print Email Facebook Twitter Gaussian models for bond strength evaluation of ribbed steel bars in concrete Title Gaussian models for bond strength evaluation of ribbed steel bars in concrete Author Prem, Prabhat R. (CSIR-Structural Engineering Research Centre, Chennai) Šavija, B. (TU Delft Materials and Environment) Date 2022 Abstract A precise prediction of the ultimate bond strength between rebar and surrounding concrete plays a major role in structural design, as it effects the load-carrying capacity and serviceability of a member significantly. In the present study, Gaussian models are employed for modelling bond strength of ribbed steel bars embedded in concrete. Gaussian models offer a non-parametric method based on Bayesian framework which is powerful, versatile, robust and accurate. Five different Gaussian models are explored in this paper-Gaussian Process (GP), Variational Heteroscedastic Gaussian Process (VHGP), Warped Gaussian Process (WGP), Sparse Spectrum Gaussian Process (SSGP), and Twin Gaussian Process (TGP). The effectiveness of the models is also evaluated in comparison to the numerous design formulae provided by the codes. The predictions from the Gaussian models are found to be closer to the experiments than those predicted using the design equations provided in various codes. The sensitivity of the models to various parameters, input feature space and sampling is also presented. It is found that GP, VHGP and SSGP are effective in prediction of the bond strength. For large data set, GP, VHGP, WGP and TGP can be computationally expensive. In such cases, SSGP can be utilized. Subject bond strengthconcretegaussianmodellingsteel bars To reference this document use: http://resolver.tudelft.nl/uuid:19aad3b1-ceb8-4bee-b03a-6f588b146377 DOI https://doi.org/10.12989/sem.2022.84.5.651 Embargo date 2023-06-10 ISSN 1225-4568 Source Structural Engineering and Mechanics, 84 (5), 651-664 Bibliographical note Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. Part of collection Institutional Repository Document type journal article Rights © 2022 Prabhat R. Prem, B. Šavija Files PDF Prem2022_Gaussian_models_ ... ncrete.pdf 3.44 MB Close viewer /islandora/object/uuid:19aad3b1-ceb8-4bee-b03a-6f588b146377/datastream/OBJ/view