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Geomechanics and Geoengineering
An International Journal
Volume 17, 2022 - Issue 1
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Original Articles

Statistical variations and new correlation models to predict the mechanical behaviour of the cement mortar modified with silica fume

Kawan GhaforCollege of Engineering, Department of Civil Engineering, University of Sulaimani, Sulaymaniyah, Iraq
,
Sarwar QadirCollege of Engineering, Department of Civil Engineering, University of Sulaimani, Sulaymaniyah, Iraq
,
Wael MahmoodCollege of Engineering, Department of Civil Engineering, University of Sulaimani, Sulaymaniyah, Iraq
&
Ahmed MohammedCollege of Engineering, Department of Civil Engineering, University of Sulaimani, Sulaymaniyah, IraqCorrespondence[email protected]
Pages 118-130 | Received 16 Sep 2019, Accepted 20 Dec 2019, Published online: 11 Feb 2020

Citations (22)

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Ahmad Alyaseen, C. Venkata Siva Rama Prasad, Arunava Poddar, Navsal Kumar, Reham R. Mostafa, Fadi Almohammed & Parveen Sihag. (2023) Application of soft computing techniques for the prediction of splitting tensile strength in bacterial concrete. Journal of Structural Integrity and Maintenance 8:1, pages 26-35.
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Wael Emad, Ahmed Salih, Rawaz Kurda, Panagiotis G. Asteris & Aram Hassan. (2022) Nonlinear models to predict stress versus strain of early age strength of flowable ordinary Portland cement. European Journal of Environmental and Civil Engineering 26:16, pages 8433-8457.
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Brwa Omer & Jalal Saeed. (2022) Effect of water to binder ratio and particle size distribution of waste glass powder on the compressive-strength and modulus of elasticity of normal-strength concrete. European Journal of Environmental and Civil Engineering 26:11, pages 5300-5321.
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Articles from other publishers (19)

Rabar H. Faraj, Azad A. Mohammed & Khalid M. Omer. (2022) Modeling the compressive strength of eco-friendly self-compacting concrete incorporating ground granulated blast furnace slag using soft computing techniques. Environmental Science and Pollution Research 29:47, pages 71338-71357.
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Rabar H. Faraj, Azad A. Mohammed, Khalid M. Omer & Hemn Unis Ahmed. (2022) Soft computing techniques to predict the compressive strength of green self-compacting concrete incorporating recycled plastic aggregates and industrial waste ashes. Clean Technologies and Environmental Policy 24:7, pages 2253-2281.
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Wael Mahmood & Ahmed Mohammed. (2022) Performance of ANN and M5P-tree to forecast the compressive strength of hand-mix cement-grouted sands modified with polymer using ASTM and BS standards and evaluate the outcomes using SI with OBJ assessments. Neural Computing and Applications 34:17, pages 15031-15051.
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Rabar H. Faraj, Azad A. Mohammed, Ahmed Mohammed, Khalid M. Omer & Hemn Unis Ahmed. (2021) Systematic multiscale models to predict the compressive strength of self-compacting concretes modified with nanosilica at different curing ages. Engineering with Computers 38:S3, pages 2365-2388.
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Jiandong Huang, Yuantian Sun & Junfei Zhang. (2021) Reduction of computational error by optimizing SVR kernel coefficients to simulate concrete compressive strength through the use of a human learning optimization algorithm. Engineering with Computers 38:4, pages 3151-3168.
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Wael Emad, Ahmed Mohammed & Rawaz Kurda. (2021) Comparison Between Two Nonlinear Models to Predict the Stress–Strain Behavior, Modulus of Elasticity, and Toughness of the Flowable Cement Paste. Iranian Journal of Science and Technology, Transactions of Civil Engineering 46:3, pages 2131-2145.
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Wael Mahmood, Ahmed Salih Mohammed, Panagiotis G. Asteris & Hawreen Ahmed. (2022) Testing and Modeling the Gradually Applying Compressive Stress to Measuring the Strain of Self-Compacted Cement Paste Using Vipulanandan p-q Model. Journal of Testing and Evaluation 50:3, pages 20210219.
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Chiya Y. Rahimzadeh, Ahmed Salih & Azeez A. Barzinjy. (2022) Systematic Multiscale Models to Predict the Compressive Strength of Cement Paste as a Function of Microsilica and Nanosilica Contents, Water/Cement Ratio, and Curing Ages. Sustainability 14:3, pages 1723.
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Israa B. Mossa, Raad M. Fenjan & Mohammed J. Kadhim. Mechanical properties of engineered cementitious composites incorporating high-volumes of fly ash. Mechanical properties of engineered cementitious composites incorporating high-volumes of fly ash.
Donghyun Kim, Hayeong Shim, Changmin Oh, Kyungseop Kim, Heeseon Seo & Yongrae Roh. (2021) Design of a Broadband Array Pattern of Underwater Cymbal Transducers. Sensors 21:18, pages 6119.
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Wael Mahmood, Ahmed Mohammed, Kawan Ghafor & Warzer Sarwar. (2020) Model Technics to Predict the Impact of the Particle Size Distribution (PSD) of the Sand on the Mechanical Properties of the Cement Mortar Modified with Fly Ash. Iranian Journal of Science and Technology, Transactions of Civil Engineering 45:3, pages 1657-1684.
Crossref
Tanvir Ahmed, Mohamed ElchalakaniAli KarrechMinhao DongM. S. Mohamed AliHua Yang. (2021) ECO-UHPC with High-Volume Class-F Fly Ash: New Insight into Mechanical and Durability Properties. Journal of Materials in Civil Engineering 33:7.
Crossref
Ahmed Mohammed, Lajan Burhan, Kawan Ghafor, Warzer Sarwar & Wael Mahmood. (2020) Artificial neural network (ANN), M5P-tree, and regression analyses to predict the early age compression strength of concrete modified with DBC-21 and VK-98 polymers. Neural Computing and Applications 33:13, pages 7851-7873.
Crossref
Ahmed Salih, Serwan Rafiq, Wael Mahmood, Kawan Ghafor & Warzer Sarwar. (2021) Various simulation techniques to predict the compressive strength of cement-based mortar modified with micro-sand at different water-to-cement ratios and curing ages. Arabian Journal of Geosciences 14:5.
Crossref
Ahmed Salih, Serwan Rafiq, Parveen Sihag, Kawan Ghafor, Wael Mahmood & Warzer Sarwar. (2021) Systematic multiscale models to predict the effect of high-volume fly ash on the maximum compression stress of cement-based mortar at various water/cement ratios and curing times. Measurement 171, pages 108819.
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Ahmed Mohammed, Serwan Rafiq, Parveen Sihag, Rawaz Kurda & Wael Mahmood. (2021) Soft computing techniques: Systematic multiscale models to predict the compressive strength of HVFA concrete based on mix proportions and curing times. Journal of Building Engineering 33, pages 101851.
Crossref
Serwan Kh. Rafiq. (2020) Modeling and statistical assessments to evaluate the effects of fly ash and silica fume on the mechanical properties of concrete at different strength ranges. Journal of Building Pathology and Rehabilitation 5:1.
Crossref
Ahmed Mohammed, Serwan Rafiq, Parveen Sihag, Rawaz Kurda, Wael Mahmood, Kawan Ghafor & Warzer Sarwar. (2020) ANN, M5P-tree and nonlinear regression approaches with statistical evaluations to predict the compressive strength of cement-based mortar modified with fly ash. Journal of Materials Research and Technology 9:6, pages 12416-12427.
Crossref
Lajan Burhan, Kawan Ghafor & Ahmed Mohammed. (2020) Enhancing the Fresh and Hardened Properties of the Early Age Concrete Modified with Powder Polymers and Characterized Using Different Models. Advances in Civil Engineering Materials 9:1, pages 20190087.
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