Resistance model uncertainty in non-linear finite element analyses of cyclically loaded reinforced concrete systems

Castaldo, Paolo; Gino, Diego; Bertagnoli, Gabriele; Mancini, Giuseppe

doi:10.1016/j.engstruct.2020.110496

Cited by 96 publications

(39 citation statements)

References 32 publications

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“…Focusing on the uncertainties associated to resistance models, these sources are related both to the inherent randomness of geometrical characteristic of structural elements or of physical properties of materials (e.g., concrete compressive strength and reinforcement yielding strength) and to missing knowledge, simplification and assumptions performed within the definition of the resistance model itself. 12,13,18 In the literature, 20,21,32 the firsts are denoted, usually, as aleatory uncertainties while, the latter are recognized as the epistemic ones. Even if a strict distinction between the mentioned above families of uncertainties is not possible, 20 it represents an efficient discrimination in order to include their effects in design code provisions.…”

Section: Definition and Characterization Of Uncertainties According To Safety Formats For Nlnasmentioning

confidence: 99%

“…The epistemic uncertainty in NLNAs can be associated to "missing" knowledge, hypotheses and simplifications related to constitutive laws, kinematic compatibility and equilibrium of forces and to assumptions concerning auxiliary non-physical variables or individual choices. 12,13,20 All the mentioned above aspects characterize the selection of a specific modeling hypothesis, 12,13 also denoted in literature as "solution strategy." 18 With reference to 21 and 32, the epistemic uncertainty in resistance models may be exhaustively represented by the resistance model uncertainty random variable ϑ denoted as:…”

Section: Definition and Characterization Of Uncertainties According To Safety Formats For Nlnasmentioning

confidence: 99%

“…10,11 The global resistance format allows to compare the design value of actions directly to the associated design value of the global resistance of a structural system or component. The global structural resistance can be estimated using a NLNA and, its design value can be evaluated accounting for the influence of aleatory and epistemic uncertainties 12,13 through the definition of appropriate partial safety factors in line with pre-determined target levels of reliability distinguishing between new and existing structures. [10][11][12][13][14][15] The influence of the aleatory uncertainty and variability of the failure mode on the outcomes of reliability analysis performed by means of NLNAs has been investigated by References 16 and 17 as well as, the relevance and quantification of resistance model uncertainty (i.e., epistemic uncertainty) has been studied by References 18 and 19.…”

Section: Introductionmentioning

confidence: 99%

“…The epistemic uncertainty associated to NLNAs are represented by model simplifications, numerical approximations and choices performed during the definition of a structural model. 12,13,18,20 This kind of uncertainty does not include the aleatory uncertainty related to both materials and geometry. The quantification of the epistemic uncertainty associated to a non-linear numerical simulation can be performed through the assessment of the resistance model uncertainty random variable ϑ.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Model uncertainty in non‐linear numerical analyses of slender reinforced concrete members

Gino

Castaldo

Giordano

et al. 2021

Structural Concrete

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The present study aims to characterize the epistemic uncertainty within the use of global non-linear numerical analyses (i.e., NLNAs) for design and assessment purposes of slender reinforced concrete (RC) members. The epistemic uncertainty associated to NLNAs may be represented by approximations and choices performed during the definition of a structural numerical model.In order to quantify epistemic uncertainty associated to a non-linear numerical simulation, the resistance model uncertainty random variable has to be characterized by means of the comparison between experimental and numerical results. With this aim, a set of experimental tests on slender RC columns known from the literature is considered. Then, the experimental results in terms of maximum axial load are compared to the outcomes achieved from NLNAs. Nine different modeling hypotheses are herein considered to characterize the resistance model uncertainty random variable. The probabilistic analysis of the results has been performed according to Bayesian approach accounting also for both the previous knowledge from the scientific literature and the influence of the experimental uncertainty on the estimation of the statistics of the resistance model uncertainty random variable. Finally, the resistance model uncertainty partial safety factor is evaluated in line with the global resistance format of fib Model Code for Concrete Structures 2010 with reference to new and existing RC structures.

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Section: Definition and Characterization Of Uncertainties According To Safety Formats For Nlnasmentioning

confidence: 99%

Section: Definition and Characterization Of Uncertainties According To Safety Formats For Nlnasmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Model uncertainty in non‐linear numerical analyses of slender reinforced concrete members

Gino

Castaldo

Giordano

et al. 2021

Structural Concrete

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“…is paper selects the results of a low-cyclic reversed loading experiment of reinforced concrete columns [17] as the basis for comparison and refers to the definition of the relevant numerical model [18][19][20]. Specimen design parameters are as follows: Specimen is made of C40 concrete, the compressive strength of the concrete cube is 32.1 MPa, and the elastic modulus is 33092.4 MPa.…”

Section: Model Validation With Experimental Resultsmentioning

confidence: 99%

Seismic Fragility Analysis of Multispan Continuous Girder Bridges with Varying Pier Heights considering Their Bond‐Slip Behavior

Cao

Liang

Huai

et al. 2020

Advances in Civil Engineering

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The bond-slip effect has a great influence on the seismic performance of reinforced concrete structures and ignoring it will overestimate the seismic performance of the structures. Based on the low-cyclic reversed loading experiment of a reinforced concrete column, this paper uses OpenSees to establish a nonlinear finite element model considering bond-slip and verify its correctness. In this paper, a multispan continuous girder bridge with varying pier heights is taken as an example. Considering the effect of the bond-slip behavior of steel bars, a refined finite element model based on the OpenSees platform is established to do the numerical simulation analysis. 10 seismic waves are selected from the Pacific Earthquake Engineering Research Center (PEER) according to the site condition and modulate the amplitude to 150 waves. This paper uses the incremental dynamic analysis (IDA) and the second-order reliability method to analyze the seismic fragility of bridge components and systems, respectively. Results show that the exceeding probability increases obviously when considering bond-slip, and with the increase of seismic spectral acceleration, the influence of bond-slip on the exceeding probability of components also increases; when bond-slip is considered, the difference of system fragility between the upper and lower limits under four damage states is greater than that without bond-slip.

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Influence of masonry infills on seismic performance of BRB‐retrofitted low‐ductile RC frames

Chelapramkandy,

Ghosh,

Freddi

2024

Earthq Engng Struct Dyn

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Reinforced concrete (RC) frames with masonry infills represent a prevalent construction typology across the globe, including moderate to high seismic regions. Such structures are often characterized by high seismic vulnerability, and consequently, there is an urgent need for retrofit solutions to effectively improve their seismic performance. Buckling‐restrained braces (BRBs) represent one such solution. They are a type of dissipative device that can be included within the frames of an existing structure to increase its strength, stiffness, and energy dissipation capacity. Although a substantial amount of research has already been performed to understand the effectiveness of BRBs as a retrofit strategy, these studies have often neglected the contribution of masonry infills and the interactions between the infills and the BRBs. While masonry infills are usually overlooked in the analysis and design stage (owing to their brittle nature), past studies indicated that their strength and stiffness may significantly alter the structure's seismic performance, leading to undesirable and unexpected results. This study presents a detailed investigation of the impact of masonry infills on the seismic response and fragility of BRB‐retrofitted RC frames. A three‐story, three‐bay, low‐ductile RC frame has been selected for case study purposes. High‐fidelity finite element models are developed in OpenSees for combinations of infilled and non‐infilled structures—with and without BRBs. Nonlinear static and dynamic analyses are performed to evaluate the seismic response of the different configurations at local and global levels. Successively, cloud analyses are conducted by considering a set of 150 ground motion records to account for the record‐to‐record variability and develop seismic fragility curves. The present study sheds some light on the mutual interaction between the infill panels and BRBs retrofit intervention and highlights the critical aspects that must be considered in the design.

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Resistance model uncertainty in non-linear finite element analyses of cyclically loaded reinforced concrete systems

Cited by 96 publications

References 32 publications

Model uncertainty in non‐linear numerical analyses of slender reinforced concrete members

Model uncertainty in non‐linear numerical analyses of slender reinforced concrete members

Seismic Fragility Analysis of Multispan Continuous Girder Bridges with Varying Pier Heights considering Their Bond‐Slip Behavior

Influence of masonry infills on seismic performance of BRB‐retrofitted low‐ductile RC frames

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