CV


FA
Mehdi Dehestani

Mehdi Dehestani

Professor

CV
FA
Mehdi Dehestani

Professor Mehdi Dehestani

Papers in Journals

#Paper TitleAuthorsJournalPublished At
 
81An ensemble learning-based prediction model for the compressive strength degradation of concrete containing superabsorbent polymers (SAP)Maedeh Hosseinzadeh, , Mehdi DehestaniScientific Reports2024
82Local bond properties of steel rebar embedded in poured earth concrete: effect of recycled fine aggregate and rebar diameterAli Hussein, , Mehdi DehestaniMATERIALS AND STRUCTURES2024
83Optimum mechanical properties of repair mortar containing hybrid fibers using the Taguchi method and analysis of varianceMohammadreza Alamian, , Mehdi DehestaniJournal of Building Engineering2024
84Performance of Various Types of Bacillus Bacteria on the Rheology and Mechanical Properties of Self-Compacting ConcreteSeyed mostafa Shabanian ahmadi, Alireza Mirzagoltabarroshan, Mehdi DehestaniARABIAN JOURNAL FOR SCIENCE AND ENGINEERING2024
85Concrete strength and durability prediction through deep learning and artificial neural networksMaedeh Hosseinzadeh, Hojjat Samadvand, Alireza Hossein zadeh, , Mehdi DehestaniFrontiers of Structural and Civil Engineering2024
86Exploring elastic properties of fly ash recycled aggregate concrete: Insights from multiscale modeling and machine learningMaedeh Hosseinzadeh, Mehdi Dehestani, Alireza Hossein zadehStructures2024
87Effect of nano-SiO2 and sulfate solutions curing on bond strength of GGBFS-based geopolymer repairing mortarAli HashemiEmami, , Hadi Nazarpour, Mehdi DehestaniCONSTRUCTION AND BUILDING MATERIALS2024
88Simple derailing failure in electrical transmission towers and mitigating solutions structuresMohammadreza Alamian, Mehdi DehestaniInnovative Infrastructure Solutions2024
89An ensemble learning-based prediction model for the compressive strength degradation of concrete containing superabsorbent polymers (SAP)Maedeh Hosseinzadeh, , Mehdi DehestaniScientific Reports2024
90Local bond properties of steel rebar embedded in poured earth concrete: effect of recycled fine aggregate and rebar diameterAli Hussein, , Mehdi DehestaniMATERIALS AND STRUCTURES2024
91Optimum mechanical properties of repair mortar containing hybrid fibers using the Taguchi method and analysis of varianceMohammadreza Alamian, , Mehdi DehestaniJournal of Building Engineering2024
92Performance of Various Types of Bacillus Bacteria on the Rheology and Mechanical Properties of Self-Compacting ConcreteSeyed mostafa Shabanian ahmadi, Alireza Mirzagoltabarroshan, Mehdi DehestaniARABIAN JOURNAL FOR SCIENCE AND ENGINEERING2024
93Concrete strength and durability prediction through deep learning and artificial neural networksMaedeh Hosseinzadeh, Hojjat Samadvand, Alireza Hossein zadeh, , Mehdi DehestaniFrontiers of Structural and Civil Engineering2024
94Exploring elastic properties of fly ash recycled aggregate concrete: Insights from multiscale modeling and machine learningMaedeh Hosseinzadeh, Mehdi Dehestani, Alireza Hossein zadehStructures2024
95Exploring elastic properties of fly ash recycled aggregate concrete: Insights from multiscale modeling and machine learningMaedeh Hosseinzadeh, Mehdi Dehestani, Alireza Hossein zadehStructures2024
96Concrete strength and durability prediction through deep learning and artificial neural networksMaedeh Hosseinzadeh, Hojjat Samadvand, Alireza Hossein zadeh, , Mehdi DehestaniFrontiers of Structural and Civil Engineering2024
97Performance of Various Types of Bacillus Bacteria on the Rheology and Mechanical Properties of Self-Compacting ConcreteSeyed mostafa Shabanian ahmadi, Alireza Mirzagoltabarroshan, Mehdi DehestaniARABIAN JOURNAL FOR SCIENCE AND ENGINEERING2024
98Optimum mechanical properties of repair mortar containing hybrid fibers using the Taguchi method and analysis of varianceMohammadreza Alamian, , Mehdi DehestaniJournal of Building Engineering2024
99Local bond properties of steel rebar embedded in poured earth concrete: effect of recycled fine aggregate and rebar diameterAli Hussein, , Mehdi DehestaniMATERIALS AND STRUCTURES2024
100An ensemble learning-based prediction model for the compressive strength degradation of concrete containing superabsorbent polymers (SAP)Maedeh Hosseinzadeh, , Mehdi DehestaniScientific Reports2024
Showing 81-100 of 798 items.