E-LIB Suche - Ergebnisse für: Briffaut, M.

1

Self-sealing of pre-cracked callovo-oxfordian claystone: Im..:

Wang, C. ; Briffaut, M. ; Talandier, J..
International Journal of Rock Mechanics and Mining Sciences. 175 (2024) - p. 105678 , 2024

Link: https://doi.org/10.1016/..

2

Bayesian inference with correction of model bias for Thermo..:

Rossat, D. ; Baroth, J. ; Briffaut, M....
Engineering Structures. 278 (2023) - p. 115433 , 2023

Link: https://doi.org/10.1016/..

3

In-field measurement and numerical modelling of air leakage..:

Multon, S. ; Rossat, D. ; Verdier, J....
Construction and Building Materials. 385 (2023) - p. 131410 , 2023

Link: https://doi.org/10.1016/..

4

Probabilistic Modelling of Containment Building Leakage at ..:

, In: RILEM Bookseries; Numerical Modeling Strategies for Sustainable Concrete Structures,

Briffaut, M. ; Ghannoum, M. ; Baroth, J... - p. 69-78 , 2022

Link: https://doi.org/10.1007/..

5

Bayesian updating for nuclear containment buildings using b..:

Rossat, D. ; Baroth, J. ; Briffaut, M....
Engineering Structures. 262 (2022) - p. 114294 , 2022

Link: https://doi.org/10.1016/..

6

Bayesian updating for predictions of delayed strains of lar..:

Rossat, D. ; Baroth, J. ; Briffaut, M....
European Journal of Environmental and Civil Engineering. 27 (2022) 4 - p. 1763-1795 , 2022

Link: https://doi.org/10.1080/..

7

Bayesian inversion using adaptive Polynomial Chaos Kriging ..:

Rossat, D. ; Baroth, J. ; Briffaut, M..
Journal of Computational Physics. 455 (2022) - p. 110986 , 2022

Link: https://doi.org/10.1016/..

8

A Bayesian strategy for forecasting the leakage rate of con..:

Rossat, D. ; Bouhjiti, D. E.-M. ; Baroth, J....
Nuclear Engineering and Design. 378 (2021) - p. 111184 , 2021

Link: https://doi.org/10.1016/..

9

Prediction of perforation into concrete accounting for satu..:

Baroth, J. ; Briffaut, M. ; Vu, D...
International Journal of Impact Engineering. 156 (2021) - p. 103923 , 2021

Link: https://doi.org/10.1016/..

10

Probabilistic analysis of concrete cracking using stochasti..:

Bouhjiti, D. E.-M. ; Baroth, J. ; Dufour, F...
Materials and Structures. 53 (2020) 4 - p. , 2020

Link: https://doi.org/10.1617/..

11

Quantification of evolving moisture profiles in concrete sa..:

Tengattini, A. ; Dal Pont, S. ; Cheikh Sleiman, H...
Strain. 56 (2020) 6 - p. , 2020

Link: https://doi.org/10.1111/..

12

Simplified modelling strategy for the thermos-mechanical an..:

, In: Computational Modelling of Concrete Structures,

Mazars, J. ; Briffaut, M. ; Grange, S. - p. 249-255 , 2018

Link: https://doi.org/10.1201/..

13

Statistical modelling of thermal displacements for concrete..:

Tatin, M. ; Briffaut, M. ; Dufour, F...
Engineering Structures. 165 (2018) - p. 63-75 , 2018

Link: https://doi.org/10.1016/..

14

Accounting for realistic Thermo-Hydro-Mechanical boundary c..:

Bouhjiti, D.E.-M. ; Boucher, M. ; Briffaut, M....
Engineering Structures. 166 (2018) - p. 314-338 , 2018

Link: https://doi.org/10.1016/..

15

Statistical modeling of cracking in large concrete structur..:

Bouhjiti, D.E.-M. ; Baroth, J. ; Briffaut, M...
Nuclear Engineering and Design. 333 (2018) - p. 196-223 , 2018

Link: https://doi.org/10.1016/..