Updating of uncertain joint models using the Lack-Of-Knowledge theory

Gant, Frederick James; Rouch, Philippe; Champaney, Laurent

doi:10.1016/j.compstruc.2013.06.013

Cited by 3 publications

(1 citation statement)

References 27 publications

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“…In practice, some of the parameters of the bolted assembly are not precisely determined, as the preload of the nut or the friction coefficient. Such types of problems have been analyzed by dedicated techniques for the bolt computation [37,38], including multiresolution [39]. The use of the proposed non-intrusive techniques allows to extend these studies to the case of 2D-3D structural analyses in a straightforward manner.…”

Section: Discussionmentioning

confidence: 99%

On the computation of plate assemblies using realistic 3D joint model: a non-intrusive approach

Guguin

Allix

Gosselet

et al. 2016

Adv. Model. and Simul. in Eng. Sci.

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Most large engineering structures are described as assemblies of plates and shells and they are computed as such using adhoc Finite Element packages. In fact their computation in 3D would be much too costly. In this framework, the connections between the parts are often modeled by means of simplified tying models. In order to improve the reliability of such simulations, we propose to apply a non-intrusive technique so as to virtually substitute the simplified connectors by a precise 3D nonlinear model, without modifying the global plate model. Moreover each computation can be conducted on independent optimized software. After a description of the method, examples are used to analyze its performance, and to draw some conclusions on the validity and limitation of both the modeling of junction by rigid connectors and the use of submodeling techniques for the estimation of the carrying capacity of bolted plates.

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Section: Discussionmentioning

confidence: 99%

On the computation of plate assemblies using realistic 3D joint model: a non-intrusive approach

Guguin

Allix

Gosselet

et al. 2016

Adv. Model. and Simul. in Eng. Sci.

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Vibration response of a hybrid steel–timber building element with uncertain material and joint parameters

Chocholaty,

Eser,

Hoppe

et al. 2023

Archiv.Civ.Mech.Eng

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The design of building elements is usually done conservatively by considering safety factors. However, more efficient designs are gaining interest for economic and sustainability reasons. Hence, an adequate prediction tool can improve the design of building elements. Probabilistic modeling, for example, Monte Carlo simulations, represents a remedy to this by examining uncertainties in a structure through uncertain input parameters. In this work, a Monte Carlo simulation is performed to quantify the uncertainty in the modal properties of a hybrid steel–timber building element. The material properties of the timber material and the stiffness of the structural joints are considered uncertain inputs. The probabilistic properties of the timber material are evaluated utilizing Bayesian inference instead of the usually applied empirical methods. Using these inferred timber material properties leads to a good match of simulated and measured natural frequencies of the timber components. These parameters are utilized together with the joints’ uncertain inputs in the Monte Carlo simulation of the hybrid steel–timber building element. The results show a significant span for the identified eigenfrequencies, which proves the relevance of probabilistic analyses for the vibration characteristics of building elements.

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A linguistic approach of knowledge representation with both negative and positive factors

Wang

Zhang

et al. 2014

2014 International Conference on Multisensor Fusion and Information Integration for Intelligent Systems (MFI)

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Updating of uncertain joint models using the Lack-Of-Knowledge theory

Cited by 3 publications

References 27 publications

On the computation of plate assemblies using realistic 3D joint model: a non-intrusive approach

On the computation of plate assemblies using realistic 3D joint model: a non-intrusive approach

Vibration response of a hybrid steel–timber building element with uncertain material and joint parameters

A linguistic approach of knowledge representation with both negative and positive factors

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