2017
DOI: 10.1002/suco.201700079
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Combined shear and flexure performance of prestressing concrete T‐shaped beams: Experiment and deterministic modeling

Abstract: The development of a nonlinear numerical computational model for the detailed description of destructive tests generally requires a multiple-stage, strategic model updating procedure. In this contribution, a model updating procedure is applied to the simulation of prestressed reinforced concrete (RC) beams. The combined ultimate shear and flexure capacity of the beams is affected by many complex phenomena, such as the multi-axial state of stress, the anisotropy induced by diagonal concrete cracking, the intera… Show more

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Cited by 22 publications
(19 citation statements)
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“…The presented T30 150/V2 girder, which is a scaled down version of a full‐scale TT‐shaped LDE7 roof girder, was subjected to a destructive shear test under laboratory conditions; see the geometry and test layout in Figure . The obtained results helped with the development of basic deterministic and stochastic models of both scaled down and full‐scale girders in order to perform the reliability‐based optimization of precast structural members; see Slowik et al, Strauss et al for details. Sensitivity analysis plays a significant role within the development process by helping to focus analysis only on important parameters and reduce the enormous computational burden connected with the utilization of the accurate nonlinear finite element models.…”
Section: Case Studiesmentioning
confidence: 94%
See 1 more Smart Citation
“…The presented T30 150/V2 girder, which is a scaled down version of a full‐scale TT‐shaped LDE7 roof girder, was subjected to a destructive shear test under laboratory conditions; see the geometry and test layout in Figure . The obtained results helped with the development of basic deterministic and stochastic models of both scaled down and full‐scale girders in order to perform the reliability‐based optimization of precast structural members; see Slowik et al, Strauss et al for details. Sensitivity analysis plays a significant role within the development process by helping to focus analysis only on important parameters and reduce the enormous computational burden connected with the utilization of the accurate nonlinear finite element models.…”
Section: Case Studiesmentioning
confidence: 94%
“…The obtained information was used to set up their stochastic models and response surfaces in an optimum manner for particular limit states and for the subsequent determination of selected uncertain design parameters followed by load‐bearing capacity and reliability assessments of the bridge . The dominant input parameters were also put to similar use in performance of the reliability‐based optimization of precast T‐shaped structural members …”
Section: Case Studiesmentioning
confidence: 99%
“…In a further step, the reliability and the sensitivity analyses were also performed for the N-M gradients with respect to the associated I-Ds by using the non-linear finite element (NLFEM) elaborations [3,32]. These probabilistic NLFEM studies, as allowed in EN 1992-1-1 [8], also primarily served to evaluate the proposed safety factors for NLFEM considerations [33].…”
Section: Reliability Assessmentmentioning
confidence: 99%
“…The probabilistic analysis was carried out as follows: (a) the preparation of the numerical non-linear models for the stochastic procedure including the definition of the random variables (scattering quantities) used in the non-linear numerical analysis for material laws, geometries and loading procedure, see Tables 3 and 4, (b) the formulation of the correlations between the random variables (see Table 5), (c) the implementation of the statistical structural responses of the probabilistic non-linear numerical analyses into the reliability-based verification method in the form of a limit state equation, see Equation (1), (d) the definition of the random variables X i for the limit state equation, (e) the generation of the n-simulation sets, or sample sets using LHS technique for non-linear finite element calculations (for LHS see Section 2.3, for NLFEM see Section 4.3) based on the probabilistic parameters of the random variables displayed in Tables 4 and 5, (f) the n-fold repetition of the NLFEM computation and the structuring of the statistical system responses in response vectors of dimension n suitable for the reliability assessment and (g) the determination of the reliability and failure probabilities with regard to predefined limit values and the study of the sensitivities of the input base variables with regard to the examined limit state equations. The correlations according to [32] were set up for the numerical simulations as shown in Table 5.…”
Section: Standard Based Analysesmentioning
confidence: 99%
“…A better approach for estimating general prestress losses is the one applied in Sousa et al 10 , where prestress losses are updated based on measured displacements. Literature on destructive assessment of prestressed structures can be found in Bagge et al 11 ; Huber et al 1 ; Strauss et al 12 . Nevertheless, these works do not account for relevant uncertainties and lack a probabilistic approach.…”
Section: Introductionmentioning
confidence: 99%