| 61 | An ensemble learning-based prediction model for the compressive strength degradation of concrete containing superabsorbent polymers (SAP) | Maedeh Hosseinzadeh, , Mehdi Dehestani | Scientific Reports | 2024 |
| 62 | Simple derailing failure in electrical transmission towers and mitigating solutions structures | Mohammadreza Alamian, Mehdi Dehestani | Innovative Infrastructure Solutions | 2024 |
| 63 | Effect of nano-SiO2 and sulfate solutions curing on bond strength of GGBFS-based geopolymer repairing mortar | Ali HashemiEmami, , Hadi Nazarpour, Mehdi Dehestani | CONSTRUCTION AND BUILDING MATERIALS | 2024 |
| 64 | An ensemble learning-based prediction model for the compressive strength degradation of concrete containing superabsorbent polymers (SAP) | Maedeh Hosseinzadeh, , Mehdi Dehestani | Scientific Reports | 2024 |
| 65 | Local bond properties of steel rebar embedded in poured earth concrete: effect of recycled fine aggregate and rebar diameter | Ali Hussein, , Mehdi Dehestani | MATERIALS AND STRUCTURES | 2024 |
| 66 | Optimum mechanical properties of repair mortar containing hybrid fibers using the Taguchi method and analysis of variance | Mohammadreza Alamian, , Mehdi Dehestani | Journal of Building Engineering | 2024 |
| 67 | Performance of Various Types of Bacillus Bacteria on the Rheology and Mechanical Properties of Self-Compacting Concrete | Seyed mostafa Shabanian ahmadi, Alireza Mirzagoltabarroshan, Mehdi Dehestani | ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING | 2024 |
| 68 | Concrete strength and durability prediction through deep learning and artificial neural networks | Maedeh Hosseinzadeh, Hojjat Samadvand, Alireza Hossein zadeh, , Mehdi Dehestani | Frontiers of Structural and Civil Engineering | 2024 |
| 69 | Exploring elastic properties of fly ash recycled aggregate concrete: Insights from multiscale modeling and machine learning | Maedeh Hosseinzadeh, Mehdi Dehestani, Alireza Hossein zadeh | Structures | 2024 |
| 70 | Exploring elastic properties of fly ash recycled aggregate concrete: Insights from multiscale modeling and machine learning | Maedeh Hosseinzadeh, Mehdi Dehestani, Alireza Hossein zadeh | Structures | 2024 |
| 71 | Concrete strength and durability prediction through deep learning and artificial neural networks | Maedeh Hosseinzadeh, Hojjat Samadvand, Alireza Hossein zadeh, , Mehdi Dehestani | Frontiers of Structural and Civil Engineering | 2024 |
| 72 | Performance of Various Types of Bacillus Bacteria on the Rheology and Mechanical Properties of Self-Compacting Concrete | Seyed mostafa Shabanian ahmadi, Alireza Mirzagoltabarroshan, Mehdi Dehestani | ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING | 2024 |
| 73 | Optimum mechanical properties of repair mortar containing hybrid fibers using the Taguchi method and analysis of variance | Mohammadreza Alamian, , Mehdi Dehestani | Journal of Building Engineering | 2024 |
| 74 | Local bond properties of steel rebar embedded in poured earth concrete: effect of recycled fine aggregate and rebar diameter | Ali Hussein, , Mehdi Dehestani | MATERIALS AND STRUCTURES | 2024 |
| 75 | An ensemble learning-based prediction model for the compressive strength degradation of concrete containing superabsorbent polymers (SAP) | Maedeh Hosseinzadeh, , Mehdi Dehestani | Scientific Reports | 2024 |
| 76 | Simple derailing failure in electrical transmission towers and mitigating solutions structures | Mohammadreza Alamian, Mehdi Dehestani | Innovative Infrastructure Solutions | 2024 |
| 77 | Effect of nano-SiO2 and sulfate solutions curing on bond strength of GGBFS-based geopolymer repairing mortar | Ali HashemiEmami, , Hadi Nazarpour, Mehdi Dehestani | CONSTRUCTION AND BUILDING MATERIALS | 2024 |
| 78 | Simple derailing failure in electrical transmission towers and mitigating solutions structures | Mohammadreza Alamian, Mehdi Dehestani | Innovative Infrastructure Solutions | 2024 |
| 79 | Exploring elastic properties of fly ash recycled aggregate concrete: Insights from multiscale modeling and machine learning | Maedeh Hosseinzadeh, Mehdi Dehestani, Alireza Hossein zadeh | Structures | 2024 |
| 80 | Concrete strength and durability prediction through deep learning and artificial neural networks | Maedeh Hosseinzadeh, Hojjat Samadvand, Alireza Hossein zadeh, , Mehdi Dehestani | Frontiers of Structural and Civil Engineering | 2024 |
