A new bond-slip model for NSM FRP systems using cement-based adhesives through artificial neural networks (ANN)

Research article (Construction and Building Materials, 2024) · cited 15× · AI/ML
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A new bond-slip model for NSM FRP systems using cement-based adhesives through artificial neural networks (ANN)

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A new bond-slip model for NSM FRP systems using cement-based adhesives through artificial neural networks (ANN) is a scholarly article[1].

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  • A new bond-slip model for NSM FRP systems using cement-based adhesives through artificial neural networks (ANN)'s instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). A new bond-slip model for NSM FRP systems using cement-based adhesives through artificial neural networks (ANN). Retrieved May 24, 2026, from https://4ort.xyz/entity/a-new-bond-slip-model-for-nsm-frp-systems-using-cement-based-adhesives-through-artificial-neural-networks-ann
MLA “A new bond-slip model for NSM FRP systems using cement-based adhesives through artificial neural networks (ANN).” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-new-bond-slip-model-for-nsm-frp-systems-using-cement-based-adhesives-through-artificial-neural-networks-ann.
BibTeX @misc{4ortxyz_a-new-bond-slip-model-for-nsm-frp-systems-using-cement-based-adhesives-through-artificial-neural-networks-ann_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A new bond-slip model for NSM FRP systems using cement-based adhesives through artificial neural networks (ANN)}}, year = {2026}, url = {https://4ort.xyz/entity/a-new-bond-slip-model-for-nsm-frp-systems-using-cement-based-adhesives-through-artificial-neural-networks-ann}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A new bond-slip model for NSM FRP systems using cement-based adhesives through artificial neural networks (ANN) — https://4ort.xyz/entity/a-new-bond-slip-model-for-nsm-frp-systems-using-cement-based-adhesives-through-artificial-neural-networks-ann (retrieved 2026-05-24)

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