Harun Tanyildizi 
- (2024): Self-Cleaning Performance of Basalt Fiber–Reinforced GGBS-Based Geopolymer Mortar Containing Nano TiO2. Dans: Journal of Materials in Civil Engineering (ASCE), v. 36, n. 8 (août 2024).
- : The effect of carbon nanotube on self‐healing properties of engineered cementitious composites subjected to high temperatures. Dans: Structural Concrete.
- (2024): Self-Healing Performance of Nanosilica-Modified Engineered Cementitious Composites Exposed to High Temperatures. Dans: Journal of Materials in Civil Engineering (ASCE), v. 36, n. 6 (juin 2024).
- (2024): Bacteria-based crack healing of 3D printed PVA fiber reinforced geopolymer mortars. Dans: Journal of Building Engineering, v. 86 (juin 2024).
- (2024): The influence of carbon nanotube on underwater geopolymer paste based on metakaolin and slag. Dans: Construction and Building Materials, v. 414 (février 2024).
- (2023): The effect of nano SiO2 on mechanical properties of underwater geopolymer mortar. Dans: Construction and Building Materials, v. 409 (décembre 2023).
- (2023): Forecasting the compressive strength of GGBFS-based geopolymer concrete via ensemble predictive models. Dans: Construction and Building Materials, v. 405 (novembre 2023).
- (2024): Bacteria-Based Crack Healing of Nanosilica and Carbon Nanotube Modified Engineered Cementitious Composites. Dans: Journal of Materials in Civil Engineering (ASCE), v. 36, n. 1 (janvier 2024).
- (2023): Extreme Learning Machine for Estimation of the Engineering Properties of Self-Compacting Mortar with High-Volume Mineral Admixtures. Dans: Iranian Journal of Science and Technology, Transactions of Civil Engineering, v. 48, n. 1 (décembre 2023).
- (2023): Bacterial healing of geopolymer concrete exposed to combined sulfate and freeze-thaw effects. Dans: Construction and Building Materials, v. 369 (mars 2023).
- (2022): Hybrid deep learning model for concrete incorporating microencapsulated phase change materials. Dans: Construction and Building Materials, v. 319 (février 2022).
- (2022): Deep learning and machine learning‐based prediction of capillary water absorption of hybrid fiber reinforced self‐compacting concrete. Dans: Structural Concrete, v. 23, n. 5 (octobre 2022).
- (2022): Estimation of strengths of hybrid FR‐SCC by using deep‐learning and support vector regression models. Dans: Structural Concrete, v. 23, n. 5 (octobre 2022).
- (2022): Comparison of bacteria-based self-healing methods in metakaolin geopolymer mortars. Dans: Case Studies in Construction Materials, v. 16 (juin 2022).
- (2020): Deep learning model for estimating the mechanical properties of concrete containing silica fume exposed to high temperatures. Dans: Frontiers of Structural and Civil Engineering, v. 14, n. 6 (août 2020).
- (2021): Investigation of carbonation performance of polymer-phosphazene concrete using Taguchi optimization method. Dans: Construction and Building Materials, v. 273 (mars 2021).
- (2018): High temperature resistance of polymer-phosphazene concrete for 365 days. Dans: Construction and Building Materials, v. 174 (juin 2018).
- (2018): Long-term performance of the healed mortar with polymer containing phosphazene after exposed to sulfate attack. Dans: Construction and Building Materials, v. 167 (avril 2018).
- (2017): Prediction of compressive strength of lightweight mortar exposed to sulfate attack. Dans: Computers and Concrete, v. 19, n. 2 (février 2017).
- (2008): Performance of lightweight concrete with silica fume after high temperature. Dans: Construction and Building Materials, v. 22, n. 10 (octobre 2008).
- (2008): The effect of high temperature on compressive strength and splitting tensile strength of structural lightweight concrete containing fly ash. Dans: Construction and Building Materials, v. 22, n. 11 (novembre 2008).
- (2010): Modeling mechanical performance of lightweight concrete containing silica fume exposed to high temperature using genetic programming. Dans: Construction and Building Materials, v. 24, n. 12 (décembre 2010).
- (2011): Predicting the core compressive strength of self-compacting concrete (SCC) mixtures with mineral additives using artificial neural network. Dans: Construction and Building Materials, v. 25, n. 11 (novembre 2011).
- (2012): Estimation of compressive strength of self compacting concrete containing polypropylene fiber and mineral additives exposed to high temperature using artificial neural network. Dans: Construction and Building Materials, v. 27 (février 2012).
- (2014): Post-fire behavior of structural lightweight concrete designed by Taguchi method. Dans: Construction and Building Materials, v. 68 (octobre 2014).
- (2015): Application of Taguchi method for optimization of concrete strengthened with polymer after high temperature. Dans: Construction and Building Materials, v. 79 (mars 2015).
- (2016): Mechanical properties of geopolymer concrete containing polyvinyl alcohol fiber exposed to high temperature. Dans: Construction and Building Materials, v. 126 (novembre 2016).
- (2018): Prediction of the Strength Properties of Carbon Fiber-Reinforced Lightweight Concrete Exposed to the High Temperature Using Artificial Neural Network and Support Vector Machine. Dans: Advances in Civil Engineering, v. 2018 ( 2018).
- (2018): Long-term microstructure and mechanical properties of polymer-phosphazene concrete exposed to freeze-thaw. Dans: Construction and Building Materials, v. 187 (octobre 2018).
- (2018): Performance of Phosphazene-Containing Polymer-Strengthened Concrete after Exposure to High Temperatures. Dans: Journal of Materials in Civil Engineering (ASCE), v. 30, n. 12 (décembre 2018).
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