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    ANN-Based Machine Learning Approach for Predicting the Environmental Impacts of Emerging Nano Impregnated High-Performance Concrete

    Source: Journal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 004::page 04026049-1
    Author:
    Kalimuthu, Bavithra
    ,
    Rajendran, Mohana
    DOI: 10.1061/JCCEE5.CPENG-6792
    Publisher: American Society of Civil Engineers
    Abstract: AbstractEmerging infrastructure development demands the use of advanced construction materials such as nanomaterials and high-performance concrete (HPC). Simultaneously, assessing the environmental impact (EI) of these materials is critically important ...Practical ApplicationsFrom a practical standpoint, the developed ANN-based framework serves as a decision-support tool for engineers, researchers, and policymakers. Unlike conventional LCA tools that require extensive manual data entry and provide single-...
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      ANN-Based Machine Learning Approach for Predicting the Environmental Impacts of Emerging Nano Impregnated High-Performance Concrete

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4314435
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    contributor authorKalimuthu, Bavithra
    contributor authorRajendran, Mohana
    date accessioned2026-08-20T21:25:39Z
    date available2026-08-20T21:25:39Z
    date copyright2026/05/15
    date issued2026
    identifier otherJCCEE5.CPENG-6792.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314435
    description abstractAbstractEmerging infrastructure development demands the use of advanced construction materials such as nanomaterials and high-performance concrete (HPC). Simultaneously, assessing the environmental impact (EI) of these materials is critically important ...Practical ApplicationsFrom a practical standpoint, the developed ANN-based framework serves as a decision-support tool for engineers, researchers, and policymakers. Unlike conventional LCA tools that require extensive manual data entry and provide single-...
    publisherAmerican Society of Civil Engineers
    titleANN-Based Machine Learning Approach for Predicting the Environmental Impacts of Emerging Nano Impregnated High-Performance Concrete
    typeJournal Article
    journal volume40
    journal issue4
    journal titleJournal of Computing in Civil Engineering
    identifier doi10.1061/JCCEE5.CPENG-6792
    journal fristpage04026049-1
    journal lastpage04026049-24
    page24
    treeJournal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 004
    contenttypeFulltext
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