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Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 2, Pages 191-201 doi: 10.1007/s11709-021-0792-y
Keywords: cement fineness interfacial transition zone compressive and flexural strength
Fatemeh ZAHIRI, Hamid ESKANDARI-NADDAF
Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 4, Pages 821-830 doi: 10.1007/s11709-019-0518-6
Keywords: mixture method compressive strength nano-silica micro-silica polypropylene fibers
Data driven models for compressive strength prediction of concrete at high temperatures
Mahmood AKBARI, Vahid JAFARI DELIGANI
Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 2, Pages 311-321 doi: 10.1007/s11709-019-0593-8
Keywords: data driven model compressive strength concrete high temperature
Alireza TABARSA, Nima LATIFI, Abdolreza OSOULI, Younes BAGHERI
Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 2, Pages 520-536 doi: 10.1007/s11709-021-0689-9
Keywords: unconfined compressive strength artificial neural network support vector machine predictive models regression
Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 2, Pages 284-305 doi: 10.1007/s11709-022-0901-6
Keywords: compressive strength self-compacting concrete artificial neural network decision tree CatBoost
Effect of calcium lactate on compressive strength and self-healing of cracks in microbial concrete
Kunamineni VIJAY, Meena MURMU
Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 3, Pages 515-525 doi: 10.1007/s11709-018-0494-2
Keywords: calcium lactate bacillus subtilis compressive strength self-healing of cracks
Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 2, Pages 161-174 doi: 10.1007/s11709-021-0796-7
Keywords: sugarcane bagasse ash self-compacting concrete compressive strength sulfate resistance water absorption strength formula
Ali Reza GHANIZADEH, Morteza RAHROVAN
Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 4, Pages 787-799 doi: 10.1007/s11709-019-0516-8
Keywords: full-depth reclamation soil-reclaimed asphalt pavement blend Portland cement unconfined compressive strength
Influence of accelerated curing on the compressive strength of polymer-modified concrete
Izhar AHMAD; Kashif Ali KHAN; Tahir AHMAD; Muhammad ALAM; Muhammad Tariq BASHIR
Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 5, Pages 589-599 doi: 10.1007/s11709-022-0789-1
Keywords: compressive strength prediction polymer-modified concrete linear regression fit early age strength
Faezehossadat KHADEMI,Mahmoud AKBARI,Sayed Mohammadmehdi JAMAL,Mehdi NIKOO
Frontiers of Structural and Civil Engineering 2017, Volume 11, Issue 1, Pages 90-99 doi: 10.1007/s11709-016-0363-9
Keywords: concrete 28 days compressive strength multiple linear regression artificial neural network ANFIS sensitivity
Ali Reza GHANIZADEH, Hakime ABBASLOU, Amir Tavana AMLASHI, Pourya ALIDOUST
Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 1, Pages 215-239 doi: 10.1007/s11709-018-0489-z
Keywords: bentonite/sepiolite plastic concrete compressive strength artificial neural network support vector machine
Compressive behavior and microstructure of concrete mixed with natural seawater and sea sand
Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 6, Pages 1347-1357 doi: 10.1007/s11709-021-0780-2
Keywords: seawater and sea sand concrete compressive strength strain field microstructure hydration products
Van Quan TRAN; Hai-Van Thi MAI; Thuy-Anh NGUYEN; Hai-Bang LY
Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 7, Pages 928-945 doi: 10.1007/s11709-022-0837-x
Keywords: compressive strength self-compacting concrete machine learning techniques particle swarm optimization
Khuong LE-NGUYEN; Quyen Cao MINH; Afaq AHMAD; Lanh Si HO
Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 10, Pages 1213-1232 doi: 10.1007/s11709-022-0880-7
Keywords: FRCM deep neural networks confinement effect strength model confined concrete
Finite element analysis of controlled low strength materials
Vahid ALIZADEH
Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 5, Pages 1243-1250 doi: 10.1007/s11709-019-0553-3
Keywords: CLSM finite element method compressive strength pullout numerical modeling plastic damage model
Title Author Date Type Operation
The ITZ microstructure, thickness, porosity and its relation with compressive and flexural strength of
Journal Article
Optimizing the compressive strength of concrete containing micro-silica, nano-silica, and polypropylene
Fatemeh ZAHIRI, Hamid ESKANDARI-NADDAF
Journal Article
Data driven models for compressive strength prediction of concrete at high temperatures
Mahmood AKBARI, Vahid JAFARI DELIGANI
Journal Article
Unconfined compressive strength prediction of soils stabilized using artificial neural networks and support
Alireza TABARSA, Nima LATIFI, Abdolreza OSOULI, Younes BAGHERI
Journal Article
Optimization of machine learning models for predicting the compressive strength of fiber-reinforced self-compacting
Journal Article
Effect of calcium lactate on compressive strength and self-healing of cracks in microbial concrete
Kunamineni VIJAY, Meena MURMU
Journal Article
Enhancing compressive strength and durability of self-compacting concrete modified with controlled-burnt
Journal Article
Modeling of unconfined compressive strength of soil-RAP blend stabilized with Portland cement using multivariate
Ali Reza GHANIZADEH, Morteza RAHROVAN
Journal Article
Influence of accelerated curing on the compressive strength of polymer-modified concrete
Izhar AHMAD; Kashif Ali KHAN; Tahir AHMAD; Muhammad ALAM; Muhammad Tariq BASHIR
Journal Article
Multiple linear regression, artificial neural network, and fuzzy logic prediction of 28 days compressivestrength of concrete
Faezehossadat KHADEMI,Mahmoud AKBARI,Sayed Mohammadmehdi JAMAL,Mehdi NIKOO
Journal Article
Modeling of bentonite/sepiolite plastic concrete compressive strength using artificial neural network
Ali Reza GHANIZADEH, Hakime ABBASLOU, Amir Tavana AMLASHI, Pourya ALIDOUST
Journal Article
Compressive behavior and microstructure of concrete mixed with natural seawater and sea sand
Journal Article
Assessment of different machine learning techniques in predicting the compressive strength of self-compacting
Van Quan TRAN; Hai-Van Thi MAI; Thuy-Anh NGUYEN; Hai-Bang LY
Journal Article
Development of deep neural network model to predict the compressive strength of FRCM confined columns
Khuong LE-NGUYEN; Quyen Cao MINH; Afaq AHMAD; Lanh Si HO
Journal Article