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Mansour Ghalehnovi
Mansour Ghalehnovi
Professor, Civil Engineering Department, Ferdowsi University of Mashhad, Mashhad, IRAN
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Anno
Durability performance of structural concrete containing silica fume and marble industry waste powder
A Khodabakhshian, M Ghalehnovi, J De Brito, EA Shamsabadi
Journal of cleaner production 170, 42-60, 2018
1822018
Mechanical, environmental and economic performance of structural concrete containing silica fume and marble industry waste powder
A Khodabakhshian, J De Brito, M Ghalehnovi, EA Shamsabadi
Construction and Building Materials 169, 237-251, 2018
1532018
Effect of red mud (bauxite residue) as cement replacement on the properties of self-compacting concrete incorporating various fillers
M Ghalehnovi, N Roshan, E Hakak, EA Shamsabadi, J De Brito
Journal of Cleaner Production 240, 118213, 2019
1042019
Bond behaviour of high-strength steel rebars in normal (NSC) and ultra-high performance concrete (UHPC)
S Khaksefidi, M Ghalehnovi, J De Brito
Journal of Building Engineering 33, 101592, 2021
1002021
Machine learning-based compressive strength modelling of concrete incorporating waste marble powder
EA Shamsabadi, N Roshan, SA Hadigheh, ML Nehdi, A Khodabakhshian, ...
Construction and Building Materials 324, 126592, 2022
692022
Improving seismic performance of composite steel plate shear walls containing openings
M Meghdadaian, M Ghalehnovi
Journal of Building Engineering 21, 336-342, 2019
612019
Performance of concrete with waste granite powder: The effect of superplasticizers
E Asadi Shamsabadi, M Ghalehnovi, J De Brito, A Khodabakhshian
Applied Sciences 8 (10), 1808, 2018
612018
Self-compacting architectural concrete production using red mud
M Ghalehnovi, EA Shamsabadi, A Khodabakhshian, F Sourmeh, ...
Construction and building materials 226, 418-427, 2019
552019
On model-based damage detection by an enhanced sensitivity function of modal flexibility and LSMR-Tikhonov method under incomplete noisy modal data
H Sarmadi, A Entezami, M Ghalehnovi
Engineering with Computers 38 (1), 111-127, 2022
392022
Flexural strength enhancement of recycled aggregate concrete beams with steel fibre-reinforced concrete jacket
M Ghalehnovi, A Karimipour, A Anvari, J De Brito
Engineering Structures 240, 112325, 2021
392021
AK-SESC: a novel reliability procedure based on the integration of active learning kriging and sequential space conversion method
A Ameryan, M Ghalehnovi, M Rashki
Reliability Engineering & System Safety 217, 108036, 2022
362022
Corrosion effects on tension stiffening behavior of reinforced concrete
MA Shayanfar, M Ghalehnovi, A Safiey
Computers and Concrete 4 (5), 2007
362007
Proposition of an equivalent reduced thickness for composite steel plate shear walls containing an opening
M Meghdadian, N Gharaei-Moghaddam, A Arabshahi, N Mahdavi, ...
Journal of Constructional Steel Research 168, 105985, 2020
352020
First order control variates algorithm for reliability analysis of engineering structures
M Ghalehnovi, M Rashki, A Ameryan
Applied Mathematical Modelling 77, 829-847, 2020
322020
Finite element model for interlayer behavior of double skin steel-concrete-steel sandwich structure with corrugated-strip shear connectors
M Yousefi, M Ghalehnovi
Steel Compos. Struct 27 (1), 123-133, 2018
312018
Push-out test on the one end welded corrugated-strip connectors in steel-concrete-steel sandwich structure
M Yousefi, M Ghalehnovi
Steel and Composite Structures 24 (1), 23-35, 2017
302017
Mechanical and durability properties of mortars incorporating red mud, ground granulated blast furnace slag, and electric arc furnace dust
J Sabzi, E Asadi Shamsabadi, M Ghalehnovi, SA Hadigheh, ...
Applied Sciences 11 (9), 4110, 2021
282021
Crack width and propagation in recycled coarse aggregate concrete beams reinforced with steel fibres
M Ghalehnovi, A Karimipour, J De Brito, HR Chaboki
Applied Sciences 10 (21), 7587, 2020
272020
Properties of fibre-reinforced high-strength concrete with nano-silica and silica fume
A Karimipour, M Ghalehnovi, M Edalati, J de Brito
Applied Sciences 11 (20), 9696, 2021
262021
Comparison of various machine learning algorithms used for compressive strength prediction of steel fiber-reinforced concrete
SS Pakzad, N Roshan, M Ghalehnovi
Scientific Reports 13 (3646), 1-15, 2023
242023
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