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European Journal of Environmental and Civil Engineering Volume 26, 2022 - Issue 8
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Original Articles

Application of computational intelligence and statistical approaches for auto-estimating the compressive strength of plastic concrete

Amir Tavana Amlashia Department of Civil Engineering, Sirjan University of Technology, Sirjan, IranCorrespondence[email protected]
,
Pourya Alidoustb Department of Civil and Environmental Engineering, Temple University, Philadelphia, PA, USA
,
Ali Reza Ghanizadeha Department of Civil Engineering, Sirjan University of Technology, Sirjan, Iran
,
Sahand Khabirib Department of Civil and Environmental Engineering, Temple University, Philadelphia, PA, USA
,
Mahdi Pazhouhic Faculty of Engineering and Technology, University of Guilan, Rasht, Iran
&
Mohammad Soroush Monabatid Department of Civil Engineering, Islamic Azad University, Mashhad Branch, Mashhad, Iran
Pages 3459-3490 | Received 31 Mar 2020, Accepted 26 Jul 2020, Published online: 11 Aug 2020

Citations (8)

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Read on this site (1)

Amir Tavana Amlashi, Emadaldin Mohammadi Golafshani, Seyed Abolfazl Ebrahimi & Ali Behnood. (2023) Estimation of the compressive strength of green concretes containing rice husk ash: a comparison of different machine learning approaches. European Journal of Environmental and Civil Engineering 27:2, pages 961-983.
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Articles from other publishers (7)

Nitisha Sharma, Mohindra Singh Thakur, Ankita Upadhya & Parveen Sihag. (2022) Soft computing techniques for assessment of strength of concrete with marble powder. Multiscale and Multidisciplinary Modeling, Experiments and Design 6:1, pages 81-96.
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Nitisha Sharma, Mohindra Singh Thakur, Parveen Sihag, Mohammad Abdul Malik, Raj Kumar, Mohamed Abbas & Chanduveetil Ahamed Saleel. (2022) Machine Learning Techniques for Evaluating Concrete Strength with Waste Marble Powder. Materials 15:17, pages 5811.
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Mohammad Reza Sabour, Abolfazl Hamedani, Kasra Pourrostami Niavol, Erfan Nabavi & GhorbanAli Dezvareh. (2022) Impact of inorganic components of leachate on mechanical properties of soil: experimental study and statistical analysis by response surface methodology (RSM). Arabian Journal of Geosciences 15:14.
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Yu Bai, Meldi Suhatril, Yan Cao, Ali Forooghi & Hamid Assilzadeh. (2021) Hygro–thermo–magnetically induced vibration of nanobeams with simultaneous axial and spinning motions based on nonlocal strain gradient theory. Engineering with Computers 38:3, pages 2509-2526.
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Mohammad Reza Sabour, Ghorban Ali Dezvareh & Kasra Pourrostami Niavol. (2021) Application of Artificial Intelligence Methods in Modeling Corrosion of Cement and Sulfur Concrete in Sewer Systems. Environmental Processes 8:4, pages 1601-1618.
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Pourya Alidoust, Mohsen Keramati, Pouria Hamidian, Amir Tavana Amlashi, Mahsa Modiri Gharehveran & Ali Behnood. (2021) Prediction of the shear modulus of municipal solid waste (MSW): An application of machine learning techniques. Journal of Cleaner Production 303, pages 127053.
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Amir Tavana AmlashiPourya AlidoustMahdi PazhouhiKasra Pourrostami NiavolSahand KhabiriAli Reza Ghanizadeh. (2021) AI-Based Formulation for Mechanical and Workability Properties of Eco-Friendly Concrete Made by Waste Foundry Sand. Journal of Materials in Civil Engineering 33:4.
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