- Interpretable ensemble machine learning for the prediction of the expansion of cementitious materials under external sulfate attack. Dans: Journal of Building Engineering, v. 80 (décembre 2023). (2023):
- Coupled effects of simultaneous autogenous self-healing and sustained flexural loading in cementitious materials. Dans: Journal of Building Engineering, v. 79 (novembre 2023). (2023):
- Interpretable machine learning model for autogenous shrinkage prediction of low-carbon cementitious materials. Dans: Construction and Building Materials, v. 396 (septembre 2023). (2023):
- Creep analysis of cementitious materials in seawater using a poro-chemo-mechanical model. Dans: Marine Structures, v. 90 (juillet 2023). (2023):
- Imaging concrete cracks using Nonlinear Coda Wave Interferometry (INCWI). Dans: Construction and Building Materials, v. 391 (août 2023). (2023):
- Mechanical regains due to self-healing in cementitious materials: Experimental measurements and micro-mechanical model. Dans: Cement and Concrete Research, v. 80 (février 2016). (2016):
- Modular deep learning segmentation algorithm for concrete microscopic images. Dans: Construction and Building Materials, v. 349 (septembre 2022). (2022):
- Using machine learning techniques for predicting autogenous shrinkage of concrete incorporating superabsorbent polymers and supplementary cementitious materials. Dans: Journal of Building Engineering, v. 49 (mai 2022). (2022):
- Determination of the origin of the strength regain after self-healing of binary and ternary cementitious materials including slag and metakaolin. Dans: Journal of Building Engineering, v. 41 (septembre 2021). (2021):
- Temperature effects on chloride binding capacity of cementitious materials. Dans: Magazine of Concrete Research, v. 73, n. 15 (août 2021). (2021):
- Monitoring of autogenous crack healing in cementitious materials by the nonlinear modulation of ultrasonic coda waves, 3D microscopy and X-ray microtomography. Dans: Construction and Building Materials, v. 123 (octobre 2016). (2016):