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A sustainable solution for soil improvement: a decision tree model combined with metaheuristic optimizations for fiber reinforced clays.

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Title: A sustainable solution for soil improvement: a decision tree model combined with metaheuristic optimizations for fiber reinforced clays.
Authors: Arslan, Eylem1 (AUTHOR) eylemarslan@sakarya.edu.tr, Ekinci, Ekin2 (AUTHOR) ekinekinci@subu.edu.tr, Garip, Zeynep2 (AUTHOR) zbatik@subu.edu.tr, Küçük, Fatih3 (AUTHOR) fatihkucuk223@gmail.com, Sert, Sedat1 (AUTHOR) sert@sakarya.edu.tr
Source: Environment, Development & Sustainability. Jun2026, Vol. 28 Issue 6, p14703-14729. 27p.
Subject Terms: *Metaheuristic algorithms, *Soil stabilization, *Decision trees, *Soil compaction, *Geotechnical engineering, *Basalt, *Machine learning
Abstract: The rapid urbanization has enhanced the demand for innovative solutions to improve soft soils, prompting the integration of fibers as a sustainable reinforcement strategy to enhance tensile strength. However, effective utilization hinges on the optimal selection of fiber type, soil composition, and environmental conditions. Recognizing the complexity of these interactions, this study employs machine learning to analyze a comprehensive dataset comprising 858 samples derived from laboratory tests, encompassing 19 factors that influence soil-fiber behavior. Utilizing advanced meta-heuristic optimization algorithms—Equilibrium Optimizer, Marine Predators Algorithm, and Manta Ray Foraging Optimization—alongside a decision tree model, the research aims to uncover optimal reinforcement strategies for fiber-reinforced clays. The results reveal that basalt fiber emerges as the most effective reinforcement, while the study highlights the limitations of fiber reinforcement in high-plasticity clays. By addressing a notable gap in the literature regarding the application of optimization techniques to such extensive datasets, this research not only advances understanding in soil-fiber interactions but also promotes environmentally sustainable approaches to soil reinforcement, paving the way for future innovations in geotechnical engineering. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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Header DbId: enr
DbLabel: Energy & Power Source
An: 194093198
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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Items – Name: Title
  Label: Title
  Group: Ti
  Data: A sustainable solution for soil improvement: a decision tree model combined with metaheuristic optimizations for fiber reinforced clays.
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  Label: Authors
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  Data: <searchLink fieldCode="AR" term="%22Arslan%2C+Eylem%22">Arslan, Eylem</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> eylemarslan@sakarya.edu.tr</i><br /><searchLink fieldCode="AR" term="%22Ekinci%2C+Ekin%22">Ekinci, Ekin</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> ekinekinci@subu.edu.tr</i><br /><searchLink fieldCode="AR" term="%22Garip%2C+Zeynep%22">Garip, Zeynep</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> zbatik@subu.edu.tr</i><br /><searchLink fieldCode="AR" term="%22Küçük%2C+Fatih%22">Küçük, Fatih</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> fatihkucuk223@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Sert%2C+Sedat%22">Sert, Sedat</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> sert@sakarya.edu.tr</i>
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  Data: <searchLink fieldCode="JN" term="%22Environment%2C+Development+%26+Sustainability%22">Environment, Development & Sustainability</searchLink>. Jun2026, Vol. 28 Issue 6, p14703-14729. 27p.
– Name: Subject
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  Data: *<searchLink fieldCode="DE" term="%22Metaheuristic+algorithms%22">Metaheuristic algorithms</searchLink><br />*<searchLink fieldCode="DE" term="%22Soil+stabilization%22">Soil stabilization</searchLink><br />*<searchLink fieldCode="DE" term="%22Decision+trees%22">Decision trees</searchLink><br />*<searchLink fieldCode="DE" term="%22Soil+compaction%22">Soil compaction</searchLink><br />*<searchLink fieldCode="DE" term="%22Geotechnical+engineering%22">Geotechnical engineering</searchLink><br />*<searchLink fieldCode="DE" term="%22Basalt%22">Basalt</searchLink><br />*<searchLink fieldCode="DE" term="%22Machine+learning%22">Machine learning</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The rapid urbanization has enhanced the demand for innovative solutions to improve soft soils, prompting the integration of fibers as a sustainable reinforcement strategy to enhance tensile strength. However, effective utilization hinges on the optimal selection of fiber type, soil composition, and environmental conditions. Recognizing the complexity of these interactions, this study employs machine learning to analyze a comprehensive dataset comprising 858 samples derived from laboratory tests, encompassing 19 factors that influence soil-fiber behavior. Utilizing advanced meta-heuristic optimization algorithms—Equilibrium Optimizer, Marine Predators Algorithm, and Manta Ray Foraging Optimization—alongside a decision tree model, the research aims to uncover optimal reinforcement strategies for fiber-reinforced clays. The results reveal that basalt fiber emerges as the most effective reinforcement, while the study highlights the limitations of fiber reinforcement in high-plasticity clays. By addressing a notable gap in the literature regarding the application of optimization techniques to such extensive datasets, this research not only advances understanding in soil-fiber interactions but also promotes environmentally sustainable approaches to soil reinforcement, paving the way for future innovations in geotechnical engineering. [ABSTRACT FROM AUTHOR]
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=194093198
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s10668-024-05554-w
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 27
        StartPage: 14703
    Subjects:
      – SubjectFull: Metaheuristic algorithms
        Type: general
      – SubjectFull: Soil stabilization
        Type: general
      – SubjectFull: Decision trees
        Type: general
      – SubjectFull: Soil compaction
        Type: general
      – SubjectFull: Geotechnical engineering
        Type: general
      – SubjectFull: Basalt
        Type: general
      – SubjectFull: Machine learning
        Type: general
    Titles:
      – TitleFull: A sustainable solution for soil improvement: a decision tree model combined with metaheuristic optimizations for fiber reinforced clays.
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Arslan, Eylem
      – PersonEntity:
          Name:
            NameFull: Ekinci, Ekin
      – PersonEntity:
          Name:
            NameFull: Garip, Zeynep
      – PersonEntity:
          Name:
            NameFull: Küçük, Fatih
      – PersonEntity:
          Name:
            NameFull: Sert, Sedat
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          Dates:
            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
          Identifiers:
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              Value: 1387585X
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              Value: 28
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              Value: 6
          Titles:
            – TitleFull: Environment, Development & Sustainability
              Type: main
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