On the Potential of Lattice Type Model for Predicting Shear Capacity of Reinforced Concrete and SHCC Structures

On the Potential of Lattice Type Model for Predicting Shear Capacity of Reinforced Concrete and SHCC Structures

Lukovic, M. (TU Delft Concrete Structures; TU Delft Steel & Composite Structures)
Yang, Y. (TU Delft Concrete Structures; TU Delft Steel & Composite Structures)
Schlangen, E. (TU Delft Materials and Environment)
Hordijk, D.A. (TU Delft Concrete Structures; TU Delft Steel & Composite Structures)

Hordijk, D. (editor)
Lukovic, M. (editor)

2018

Different analytical models exist to predict the shear strength of reinforced concrete members. Generally, each of these shear strength models consists of a formulation based on certain underlying theory and fitted model coefficients. The model fitting parameters are usually established from the comparison with test data. Hence, the predictive value of a shear strength model depends, to some extent, on the quality and representativeness of the used test data.

This work investigates the predictive capability of several shear strength models for reinforced concrete beams without shear reinforcement. Particular attention is given to the application domain of relatively low reinforced and high depth concrete beams where limited shear test data is available. The predictive capability of the models for this area of interest is analyzed with Bayesian Inference. This probabilistic technique calculates the posterior distributions of uncertain parameters, given a set of measured test data and some prior knowledge.

The predictive capability of each shear strength model is quantified by means of a calculated model uncertainty. Furthermore, the influence of the uncertainty in model parameter values on the calculated model uncertainties is evaluated. Bayesian Inference is also used to estimate the model evidences conditionally on the used data.

Lattice model
Shear
Parameter analysis
Reinforced concrete
SHCC

http://resolver.tudelft.nl/uuid:dfb72e2c-6565-4006-a87e-ae5426a5949c

https://doi.org/10.1007/978-3-319-59471-2_94

2022-02-02

978-3-319-59470-5

High Tech Concrete: Where Technology and Engineering Meet: Proceedings of the 2017 fib Symposium, held in Maastricht, The Netherlands, June 12–14, 2017

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.

Institutional Repository

conference paper

© 2018 M. Lukovic, Y. Yang, E. Schlangen, D.A. Hordijk