Concrete gravity dams model parameters updating using static measurements

G Sevieri, M Andreini, A De Falco, HG Matthies - Engineering Structures, 2019 - Elsevier
The structural control of concrete gravity dams is of primary importance. In this context,
numerical models play a fundamental role both to assess the vulnerability of gravity dams …

Uncertainty analysis and calibration of SST turbulence model for free shear layer in cavity-ramp flow

K Zhang, Y Zhao, Q Wang, J Li, F Zeng, C Yan - Acta Astronautica, 2022 - Elsevier
The development and reattachment of the free shear layer in supersonic flows have been a
widely encountered phenomenon in engineering, and are gaining increasing interest from …

gPCE-based stochastic inverse methods: A benchmark study from a civil engineer's perspective

F Landi, F Marsili, N Friedman, P Croce - Infrastructures, 2021 - mdpi.com
In civil and mechanical engineering, Bayesian inverse methods may serve to calibrate the
uncertain input parameters of a structural model given the measurements of the outputs …

Parameter identification for phase-field modeling of fracture: a Bayesian approach with sampling-free update

T Wu, B Rosić, L De Lorenzis, HG Matthies - Computational mechanics, 2021 - Springer
Phase-field modeling of fracture has gained popularity within the last decade due to the
flexibility of the related computational framework in simulating three-dimensional arbitrarily …

Reduced model of macro-scale stochastic plasticity identification by Bayesian inference: Application to quasi-brittle failure of concrete

A Ibrahimbegovic, HG Matthies, E Karavelić - Computer Methods in Applied …, 2020 - Elsevier
In this paper we deal with a probability-based scale bridging for concrete material when
passing the detailed information at the meso-scale (the scale where the aggregate vs …

Seismic reliability assessment of a concrete water tank based on the Bayesian updating of the finite element model

F Marsili, P Croce, N Friedman… - … -ASME Journal of …, 2017 - asmedigitalcollection.asme.org
Failure or malfunction of complex engineered networks involves relevant social and
economic aspects, so that their maintenance is of primary importance. In assessing the …

Stochastic upscaling via linear Bayesian updating

SM Sarfaraz, BV Rosić, HG Matthies… - Multiscale Modeling of …, 2018 - Springer
In this work we present an upscaling technique for multi-scale computations based on a
stochastic model calibration technique. We consider a coarse scale continuum material …

[HTML][HTML] Stochastic modelling of symmetric positive definite material tensors

SK Shivanand, B Rosić, HG Matthies - Journal of Computational Physics, 2024 - Elsevier
Spatial symmetries and invariances play an important role in the behaviour of materials and
should be respected in the description and modelling of material properties. The focus here …

Collocation Methods and Beyond in Non-linear Mechanics

F Fahrendorf, S Shivanand, BV Rosic… - … Methods in Solid …, 2022 - Springer
Within the realm of isogeometric analysis, isogeometric collocation has been driven by the
attempt to minimize the cost of quadrature associated with higher-order discretizations, with …

[PDF][PDF] Viscoplasticity model stochastic parameter identification: Multi-scale approach and Bayesian inference

CU Nguyen, TV Hoang, E Hadzalic… - Coupled Systems …, 2022 - researchgate.net
In this paper, we present the parameter identification for inelastic and multi-scale problems.
First, the theoretical background of several fundamental methods used in the upscaling …