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Comparing the effic...
Comparing the efficacy of GEP and MEP algorithms in predicting concrete strength incorporating waste eggshell and waste glass powder
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- Wang, Dong (författare)
- Chongqing Chemical Industry Vocational College, 401220, China
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- Amin, Muhammad Nasir (författare)
- Department of Civil and Environmental Engineering, College of Engineering, King Faisal University, Al-Ahsa 31982, Saudi Arabia
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- Khan, Kaffayatullah (författare)
- Department of Civil and Environmental Engineering, College of Engineering, King Faisal University, Al-Ahsa 31982, Saudi Arabia
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- Nazar, Sohaib (författare)
- Department of Civil Engineering, Comsats University Islamabad-Abbottabad Campus, Pakistan
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- Gamil, Yaser (författare)
- Department of Civil Engineering, School of Engineering, Monash University Malaysia, Jalan Lagoon Selatan, 47500 Bandar Sunway, Selangor, Malaysia
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- Najeh, Taoufik (författare)
- Luleå tekniska universitet,Drift, underhåll och akustik
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(creator_code:org_t)
- Elsevier Ltd, 2024
- 2024
- Engelska.
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Ingår i: Developments in the Built Environment. - : Elsevier Ltd. - 2666-1659. ; 17
- Relaterad länk:
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https://doi.org/10.1...
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https://ltu.diva-por... (primary) (Raw object)
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- The present study used the techniques of gene expression programming (GEP) and multi-expression programming (MEP) to assess the compressive strength (CS) and flexural strength (FS) and develop predictive models of sustainable mortar modified with waste eggshell powder (WEP) and waste glass powder (WGP) as a replacement of cement. In order to get more insights into the impact and relation of raw components on the CS and FS of a developed sustainable mortar, a comprehensive study using the SHapley Additive exPlanations (SHAP) methodology was performed. When comparing the efficiency of both employed models, it was seen that the MEP model exhibited superior performance with an R2 value of 0.871 and 0.894 for CS and FS, as compared to the GEP model, which had an R2 value of 0.842 and 0.845 for CS and FS respectively.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Materialteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Materials Engineering (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Materialteknik -- Annan materialteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Materials Engineering -- Other Materials Engineering (hsv//eng)
Nyckelord
- Cement mortar
- Eggshell powder
- Glass powder
- Machine learning
- Prediction models
- Operation and Maintenance Engineering
- Drift och underhållsteknik
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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