- Effect of curing temperature, silica fume, and waste tire rubber aggregate on material characterization of lightweight geopolymer composite. Dans: Construction and Building Materials, v. 453 (novembre 2024). (2024):
- A comprehensive review on material characterization and thermal properties of geopolymers: Potential of various fibers. Dans: Case Studies in Construction Materials, v. 21 (décembre 2024). (2024):
- Experiments and modeling of structural behavior of different BFRP reinforcements in concrete compressive members. Dans: Materials and Structures, v. 57, n. 6 (juillet 2024). (2024):
- Predicting natural vibration period of concrete frame structures having masonry infill using machine learning techniques. Dans: Journal of Building Engineering, v. 96 (novembre 2024). (2024):
- Indirect estimation of resilient modulus (Mr) of subgrade soil: Gene expression programming vs multi expression programming. Dans: Structures, v. 66 (août 2024). (2024):
- Mechanical, durability and microstructural characterization of cost-effective polyethylene fiber-reinforced geopolymer concrete. Dans: Construction and Building Materials, v. 432 (juin 2024). (2024):
- Microstructural and thermal characterization of polyethylene fiber-reinforced geopolymer composites. Dans: Journal of Building Engineering, v. 94 (octobre 2024). (2024):
- Experiments and analytical model for axial strength of FRP-reinforced reactive powder concrete circular columns under axial compression. Dans: Engineering Structures, v. 306 (mai 2024). (2024):
- Machine learning‐based peak ground acceleration models for structural risk assessment using spatial data analysis. Dans: Earthquake Engineering and Structural Dynamics, v. 53, n. 1 (28 octobre 2023). (2023):
- Unveiling out-of-distribution data for reliable structural damage assessment in earthquake emergency situations. Dans: Automation in Construction, v. 156 (décembre 2023). (2023):
- Generalized stacked LSTM for the seismic damage evaluation of ductile reinforced concrete buildings. Dans: Earthquake Engineering and Structural Dynamics, v. 52, n. 11 (juin 2023). (2023):
- Seismic damage state predictions of reinforced concrete structures using stacked long short-term memory neural networks. Dans: Journal of Building Engineering, v. 46 (avril 2022). (2022):