FraMePID-3PB software for material parameter identification using fracture tests and inverse analysis

Lehký, David; Keršner, Zbyněk; Novák, Drahomı́r

doi:10.1016/j.advengsoft.2013.10.001

Cited by 38 publications

(31 citation statements)

References 7 publications

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“…The proposed general methodology has been extended and applied to the specific classes of inverse problems: Material parameter identification using experimental data from fracture tests : Here, the aim of identification is to acquire a set of selected fracture‐mechanical parameters describing the quasi‐brittle behavior of concrete, including crack initiation and propagation. In this case, the known response is represented by a load versus deflection or load versus crack mouth opening displacement diagram recorded during specimen testing.…”

Section: Inverse Analysismentioning

confidence: 99%

Safety analysis and reliability assessment of engineering structures – The success story of SARA

et al. 2019

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The concept for the safety assessment of concrete structures integrating nonlinear finite element analysis with stochastic and reliability technology into an advanced engineering tool is presented. The basic aim of the stochastic nonlinear analysis is to calculate the safety index (and failure probability) of an existing engineering structure, which characterizes its reliability. The nonlinear solution enables a realistic estimation of the structural response statistics to be obtained (failure load, deflections, cracks, stresses, etc.). The development of possibility of randomization for such computationally intensive problems was part of the project Safety Analysis and Reliability Assessment of Engineering Structures (SARA). Latin hypercube sampling has been used in SARA in order to keep the number of required simulations at an acceptable level. Statistical correlation, which is important for a realistic solution, was also imposed in SARA by using a stochastic optimization technique called simulated annealing. The sensitivity of results to random input parameters can be evaluated using nonparametric rank‐order correlation coefficients. The presented project SARA focusing on the safety assessment of engineering structures supersedes the usual methods based on simplified formulas. SARA supports a higher level of decision‐making process in bridge administration and maintenance of transport macrostructure. The object of this article is to present the diverse developments of the project SARA and to honor Professor Konrad Bergmeister, who was the frontrunner and chair of SARA and was mainly responsible for the SARA project initiation and its fruitful and amazing developments.

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Section: Inverse Analysismentioning

confidence: 99%

Safety analysis and reliability assessment of engineering structures – The success story of SARA

et al. 2019

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“…The results of a three point bending (hereinafter 3PB) tests conducted on a specimens with a central edge notch obtained at BUT were analysed via the effective crack approach, work-of-fracture method and also using identification approach based on artificial neural network modelling [13], [14], [15]. Wedge splitting tests were performed at BOKU University, Vienna.…”

Section: Figure 1 Schematic Test Setup For Wst and Photo Of Tested Smentioning

confidence: 99%

“…In particular the two concrete mixtures commonly used in the concrete industry were tested -C50/60 and C40/50 [9]. Samples were tested for hardening after 1, 7, 28 and 126 days [11], [12], [13], [14] and [15]. In order to capture the size effect phenomena on the shear loading capacity and on the monitoring layout of the proof loaded TT roof girders with a total length of L = 30.00 m, three vertically adjustable scaled girders for a laboratory test series were designed.…”

Section: Real Structurementioning

confidence: 99%

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Shear failure of pre-stressed concrete T-shaped girders: Experiment and nonlinear modeling

et al. 2015

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The paper presents essential steps in the development of numerical computational model of destructive test of prestressed T-shaped concrete girder. First, a series of material, small scale component tests have been performed in collaboration between two laboratories. Based on these tests identification of fracture-mechanical parameters (and their statistics) for two concrete mixtures used for the production of precast structural members was performed. Subsequently, studies have been performed on (a) full scale pre-stressed concrete roof elements with a span width of 30.00 m and a height of 0.50 m to 0.90 m, made of C50/60 and different reinforcement layouts, and (b) twelve scaled laboratory tested elements with a length of 5.00 m and heights from 0.30, 0.45 and 0.60 m in order to capture size effects in the shear bearing performance.

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“…. Die stochastischen Modelle des Werkstoffs Beton wurden einerseits auf der Grundlage der Arbeiten von und andererseits auf den im Labor entsprechend den Konformitätsprüfungen erhobenen Materialkennwerten bestimmt. Sie wurden in weiterer Folge mithilfe von auf neuronalen Netzwerken (ANN) basierenden Identifikationsalgorithmen im Detail an die vorliegende Problemstellung angepasst.…”

Section: Analyse Des Stabilitätsversagensunclassified

Zuverlässigkeit schlanker Betonstützen

Strauß¹,

Benko

Tãubling³

et al. 2017

Beton und Stahlbetonbau

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In diesem Beitrag werden Berechnungen und vergleichende experimentelle Ergebnisse des Stabilitätsverlusts von schlanken Stahlbetonstützen aus einer Versuchsreihe präsentiert. Das primäre Ziel der Arbeit war der Vergleich der Bemessungsmethoden bei der Ermittlung der globalen Zuverlässigkeit schlanker Stahlbetonstützen. Der Schlankheitsgrad der Stützen betrug λ > 90, wobei die untersuchten Stützen nach EN 1992‐1‐1 dimensioniert wurden. Die oben erwähnten experimentellen Untersuchungen dienten zudem als Grundlage für die Bewertung und Kalibrierung der deterministischen und probabilistischen nichtlinearen Modellbildung. Diese probabilistische Modellbildung der Normalkraft‐Momenten (N‐M)‐Beziehung und des Stabilitätsversagens ist eine Grundlage für die Entwicklung eines objektivierten Bemessungsansatzes und der zugehörigen Teilsicherheitsbeiwerte.

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FraMePID-3PB software for material parameter identification using fracture tests and inverse analysis

Cited by 38 publications

References 7 publications

Safety analysis and reliability assessment of engineering structures – The success story of SARA

Safety analysis and reliability assessment of engineering structures – The success story of SARA

Shear failure of pre-stressed concrete T-shaped girders: Experiment and nonlinear modeling

Zuverlässigkeit schlanker Betonstützen

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