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Experimental investigation of creep recovery of T-shaped RC beams and validation of creep and creep recovery models
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Experimental investigation of creep recovery of T-shaped RC beams and validation of creep and creep recovery models
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Contemporary analysis and numerical simulation of revisited long-term creep tests on reinforced concrete beams from the Sixties
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Probabilistic prediction of long-term deformations in concrete structures using Markov Chain Monte Carlo Method
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Response surface modelling in quantitative risk analysis for life safety in case of fire
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Uncertainty quantification of creep in concrete by Taylor expansion
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Long-term data of reinforced concrete beams subjected to high sustained loads and simplified prediction method
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Computationally efficient estimation of the probability density function for the load bearing capacity of concrete columns exposed to fire
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Uncertainty quantification of creep in concrete by Taylor series expansion
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- Conference Paper
- C1
- open access
Step-wise numerical procedure for the time-dependent modelling of concrete beams taking into account creep and creep recovery
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Creep experiments and analysis of T-shaped beams subjected to loading and unloading at young age
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- Conference Paper
- P1
- open access
Stress redistribution of concrete prisms due to creep and shrinkage: long-term observations and analysis
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- Conference Paper
- P1
- open access
Modelling of long-term loading tests on reinforced concrete beams
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- Conference Paper
- P1
- open access
Shape correction factor for drying shrinkage in a concrete cross-section
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Bayesian updated correlation length of spatial concrete properties using limited data
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Modeling the effect of random environmental influences on stochastic creep in concrete members
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- Conference Paper
- C1
- open access
Using Bayesian response surface updating for estimating the covariance function of random fields based on limited measurements
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- Conference Paper
- P1
- open access
Prediction of the spatial occurrence of fire induced spalling in concrete slabs using random fields
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Bayesian estimation of the covariance function of random fields based on a limited number of measurements