Epistemic uncertainty-based reliability analysis for engineering system with hybrid evidence and fuzzy variables von Wang, Chong, Matthies, Hermann G.

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Parameter identification in a probabilistic setting von Rosić, Bojana V., Kučerová, Anna, Sýkora, Jan, Pajonk, Oliver, Litvinenko, Alexander, Matthies, Hermann G.

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A modified parallelepiped model for non-probabilistic uncertainty quantification and propagation analysis von Wang, Chong, Matthies, Hermann G.

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Evidence theory-based reliability optimization design using polynomial chaos expansion von Wang, Chong, Matthies, Hermann G.

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A comparative study of two interval-random models for hybrid uncertainty propagation analysis von Wang, Chong, Matthies, Hermann G.

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Considerations on the identifiability of fracture and bond properties of reinforced concrete von Dobrilla, Simona, Matthies, Hermann G., Ibrahimbegovic, Adnan

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Random model with fuzzy distribution parameters for hybrid uncertainty propagation in engineering systems von Wang, Chong, Matthies, Hermann G.

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Non-probabilistic interval process model and method for uncertainty analysis of transient heat transfer problem von Wang, Chong, Matthies, Hermann G.

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Parametric models analysed with linear maps von Matthies, Hermann G., Ohayon, Roger

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Concrete gravity dams model parameters updating using static measurements von Sevieri, Giacomo, Andreini, Marco, De Falco, Anna, Matthies, Hermann G.

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Novel model calibration method via non-probabilistic interval characterization and Bayesian theory von Wang, Chong, Matthies, Hermann G.

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Hybrid evidence-and-fuzzy uncertainty propagation under a dual-level analysis framework von Wang, Chong, Matthies, Hermann G.

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Novel interval theory‐based parameter identification method for engineering heat transfer systems with epistemic uncertainty von Wang, Chong, Matthies, Hermann G.

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Reduced model of macro-scale stochastic plasticity identification by Bayesian inference: Application to quasi-brittle failure of concrete von Ibrahimbegovic, Adnan, Matthies, Hermann G., Karavelić, Emir

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Galerkin methods for linear and nonlinear elliptic stochastic partial differential equations von Matthies, Hermann G., Keese, Andreas

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Bayesian stochastic multi-scale analysis via energy considerations von Sarfaraz, Muhammad S., Rosić, Bojana V., Matthies, Hermann G., Ibrahimbegović, Adnan

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Synergy of stochastics and inelasticity at multiple scales: novel Bayesian applications in stochastic upscaling and fracture size and scale effects von Ibrahimbegovic, Adnan, Matthies, Hermann G., Dobrilla, Simona, Karavelić, Emir, Nava, Rosa Adela Mejia, Nguyen, Cong Uy, Sarfaraz, M. Sadiq, Stanić, Andjelka, Vondřejc, Jaroslav

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Dual interval-and-fuzzy analysis method for temperature prediction with hybrid epistemic uncertainties via polynomial chaos expansion von Wang, Chong, Matthies, Hermann G., Xu, Menghui, Li, Yunlong

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FFT-based homogenisation accelerated by low-rank tensor approximations von Vondřejc, Jaroslav, Liu, Dishi, Ladecký, Martin, Matthies, Hermann G.

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Epistemic uncertainty-based model validation via interval propagation and parameter calibration von Wang, Chong, Matthies, Hermann G., Xu, Menghui, Li, Yunlong

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