- Prediction of the R3 Test-Based Reactivity of Supplementary Cementitious Materials: A Machine Learning Approach Utilizing Physical and Chemical Properties. Dans: International Journal of Concrete Structures and Materials, v. 18, n. 1 (2 janvier 2024). (2024):
- Automated Mineral Identification of Pozzolanic Materials Using XRD Patterns. Dans: Journal of Materials in Civil Engineering (ASCE), v. 36, n. 12 (décembre 2024). (2024):
- Analysis of bond strength of CFRP cables with concrete using random forest model. Dans: Journal of Building Engineering, v. 96 (novembre 2024). (2024):
- Strategies for Developing High-Volume Fly Ash Concrete with High Early-Age Strength for Precast Applications. Dans: Journal of Materials in Civil Engineering (ASCE), v. 36, n. 10 (octobre 2024). (2024):
- Comprehensive investigation of bond properties of CFRP cables with concrete and mortar. Dans: Structures, v. 66 (août 2024). (2024):
- Framework for rapid characterization of fresh properties of cementitious materials using point cloud and machine learning. Dans: Construction and Building Materials, v. 400 (octobre 2023). (2023):
- Evaluation of aggregate segregation in self-consolidating concrete using 3D point cloud analysis. Dans: Journal of Building Engineering, v. 82 (avril 2024). (2024):
- Machine learning-based approach for optimizing mixture proportion of recycled plastic aggregate concrete considering compressive strength, dry density, and production cost. Dans: Journal of Building Engineering, v. 83 (avril 2024). (2024):
- Evaluation of transfer length of CFRP tendon in pretensioned concrete beam using embedded FBG sensors. Dans: Structures, v. 54 (août 2023). (2023):
- Framework for characterizing the time-dependent volumetric properties of aerated cementitious material. Dans: Construction and Building Materials, v. 284 (mai 2021). (2021):
- Surfactant-Assisted Purification of an Impure Kaolinite Clay to Improve Its Pozzolanic Reactivity in Concrete. Dans: Journal of Materials in Civil Engineering (ASCE), v. 34, n. 6 (juin 2022). (2022):
- Practical considerations of porosity, strength, and acoustic absorption of structural pervious concrete. Dans: Case Studies in Construction Materials, v. 15 (décembre 2021). (2021):
- Automated Damage Localization and Quantification in Concrete Bridges Using Point Cloud-Based Surface-Fitting Strategy. Dans: Journal of Computing in Civil Engineering, v. 35, n. 6 (novembre 2021). (2021):
- Rheology-based determination of injectable grout fluidity for preplaced aggregate concrete using ultrasonic tomography. Dans: Construction and Building Materials, v. 260 (novembre 2020). (2020):
- Automated bridge component recognition from point clouds using deep learning. Dans: Structural Control and Health Monitoring, v. 27, n. 9 (juin 2020). (2020):
- Microstructural characteristics of sound absorbable porous cement-based materials by incorporating natural fibers and aluminum powder. Dans: Construction and Building Materials, v. 243 (mai 2020). (2020):