Fuzzy logic assessment of engineering properties of granular soil with wastes for environment protection and road base use

Afyonkarahisar is a city in Turkey and is rich especially with marble production. Therefore, marble dust piles occupy places in residential fields and agricultural lands or the vicinity of the marble manufacturing facilities. So, the use of those wastes with some amount of fly ashes with granular so...

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Autores principales: Ismail Zorluer, Ugur Safak Cavus
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Lenguaje:EN
Publicado: Elsevier 2021
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Acceso en línea:https://doaj.org/article/47adecb63c02431fb4f9399641e128f8
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spelling oai:doaj.org-article:47adecb63c02431fb4f9399641e128f82021-11-18T04:48:59ZFuzzy logic assessment of engineering properties of granular soil with wastes for environment protection and road base use2214-509510.1016/j.cscm.2021.e00774https://doaj.org/article/47adecb63c02431fb4f9399641e128f82021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2214509521002898https://doaj.org/toc/2214-5095Afyonkarahisar is a city in Turkey and is rich especially with marble production. Therefore, marble dust piles occupy places in residential fields and agricultural lands or the vicinity of the marble manufacturing facilities. So, the use of those wastes with some amount of fly ashes with granular soils as admixtures for road constructions around the city will be great to protect the environment pollution and also to handle waste storage problems besides also improving the engineering properties and strength of these soils. However, assessing appropriate percentages of admixtures is a difficult task and requires performing many laboratory experiments considering different combinations and rates for each type of soil. So, the purpose of this study was to develop a practical method taking each possible marble dust and fly ash rates and their combinations into account for assessing the strength and compaction properties of granular soil used in road bases. The developed method may also reduce the number of laboratory experiments, lessen labor costs, and save experiment time. The model presented in this study is based upon the fuzzy logic inference method. The model contains two fuzzy input sets as the marble dust and fly ash and four fuzzy output sets as California Bearing Ratio (CBR), unconfined compressive strength (qu), dry unit weight (γdry) and water content (ωopt). The study results showed that the strength parameters as CBR and qu and compaction properties as γdry and ωopt of the granular soil with different combinations and percentages of marble dust and fly ash admixtures can be determined with high rate of confidences by using this model.Ismail ZorluerUgur Safak CavusElsevierarticleSoil engineering property assessmentFuzzy logic modelGranular soilMarble dustFly ashMaterials of engineering and construction. Mechanics of materialsTA401-492ENCase Studies in Construction Materials, Vol 15, Iss , Pp e00774- (2021)
institution DOAJ
collection DOAJ
language EN
topic Soil engineering property assessment
Fuzzy logic model
Granular soil
Marble dust
Fly ash
Materials of engineering and construction. Mechanics of materials
TA401-492
spellingShingle Soil engineering property assessment
Fuzzy logic model
Granular soil
Marble dust
Fly ash
Materials of engineering and construction. Mechanics of materials
TA401-492
Ismail Zorluer
Ugur Safak Cavus
Fuzzy logic assessment of engineering properties of granular soil with wastes for environment protection and road base use
description Afyonkarahisar is a city in Turkey and is rich especially with marble production. Therefore, marble dust piles occupy places in residential fields and agricultural lands or the vicinity of the marble manufacturing facilities. So, the use of those wastes with some amount of fly ashes with granular soils as admixtures for road constructions around the city will be great to protect the environment pollution and also to handle waste storage problems besides also improving the engineering properties and strength of these soils. However, assessing appropriate percentages of admixtures is a difficult task and requires performing many laboratory experiments considering different combinations and rates for each type of soil. So, the purpose of this study was to develop a practical method taking each possible marble dust and fly ash rates and their combinations into account for assessing the strength and compaction properties of granular soil used in road bases. The developed method may also reduce the number of laboratory experiments, lessen labor costs, and save experiment time. The model presented in this study is based upon the fuzzy logic inference method. The model contains two fuzzy input sets as the marble dust and fly ash and four fuzzy output sets as California Bearing Ratio (CBR), unconfined compressive strength (qu), dry unit weight (γdry) and water content (ωopt). The study results showed that the strength parameters as CBR and qu and compaction properties as γdry and ωopt of the granular soil with different combinations and percentages of marble dust and fly ash admixtures can be determined with high rate of confidences by using this model.
format article
author Ismail Zorluer
Ugur Safak Cavus
author_facet Ismail Zorluer
Ugur Safak Cavus
author_sort Ismail Zorluer
title Fuzzy logic assessment of engineering properties of granular soil with wastes for environment protection and road base use
title_short Fuzzy logic assessment of engineering properties of granular soil with wastes for environment protection and road base use
title_full Fuzzy logic assessment of engineering properties of granular soil with wastes for environment protection and road base use
title_fullStr Fuzzy logic assessment of engineering properties of granular soil with wastes for environment protection and road base use
title_full_unstemmed Fuzzy logic assessment of engineering properties of granular soil with wastes for environment protection and road base use
title_sort fuzzy logic assessment of engineering properties of granular soil with wastes for environment protection and road base use
publisher Elsevier
publishDate 2021
url https://doaj.org/article/47adecb63c02431fb4f9399641e128f8
work_keys_str_mv AT ismailzorluer fuzzylogicassessmentofengineeringpropertiesofgranularsoilwithwastesforenvironmentprotectionandroadbaseuse
AT ugursafakcavus fuzzylogicassessmentofengineeringpropertiesofgranularsoilwithwastesforenvironmentprotectionandroadbaseuse
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