Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Prediction of concrete and FRC properties at high temperature using machine and deep learning: a review of recent advances and future perspectives
Concrete structures when exposed to elevated temperature significantly decline their
original properties. High temperatures substantially affect the concrete physical and …
original properties. High temperatures substantially affect the concrete physical and …
Performance of geopolymer concrete at elevated temperature− A critical review
Concrete, renowned for its strength and durability, stands as the primary material in
infrastructure construction. Despite its extensive use over millennia, its response to fire …
infrastructure construction. Despite its extensive use over millennia, its response to fire …
Investigation of machine learning models in predicting compressive strength for ultra-high-performance geopolymer concrete: A comparative study
Ultra-high-performance geopolymer concrete (UHPGC) is a new category of traditional
UHPC developed to meet the desire for ultra-high-strength and green building materials. In …
UHPC developed to meet the desire for ultra-high-strength and green building materials. In …
Artificial-intelligence-led revolution of construction materials: From molecules to Industry 4.0
Industry 4.0 promotes the transformation of manufacturing industry to intelligence, which
demands advances in materials, devices, and systems of the construction industry …
demands advances in materials, devices, and systems of the construction industry …
[HTML][HTML] Eco-friendly mix design of slag-ash-based geopolymer concrete using explainable deep learning
Geopolymer concrete is a sustainable and eco-friendly substitute for traditional OPC
(Ordinary Portland Cement) based concrete, as it reduces greenhouse gas emissions. With …
(Ordinary Portland Cement) based concrete, as it reduces greenhouse gas emissions. With …
Comparative analysis of various machine learning algorithms to predict strength properties of sustainable green concrete containing waste foundry sand
The use of waste foundry sand (WFS) in concrete production has gained attention as an eco-
friendly approach to waste reduction and enhancing cementitious materials. However …
friendly approach to waste reduction and enhancing cementitious materials. However …
Efficient machine learning algorithm with enhanced cat swarm optimization for prediction of compressive strength of GGBS-based geopolymer concrete at elevated …
In order to assess building damage and develop fire safety applications, it is crucial to
examine the mechanical behavior of concrete after exposure to high temperatures …
examine the mechanical behavior of concrete after exposure to high temperatures …
[HTML][HTML] A hybrid strategy of AutoML and SHAP for automated and explainable concrete strength prediction
B Sun, W Cui, G Liu, B Zhou, W Zhao - Case Studies in Construction …, 2023 - Elsevier
The precise prediction of concrete compressive strength is essential for ensuring safe and
reliable infrastructure design and construction. However, traditional empirical models often …
reliable infrastructure design and construction. However, traditional empirical models often …
A comparative study of environmental and economic assessment of vegetation-based slope stabilization with conventional methods
The heavy rainfall induced by global warming has increased the risk of landslides. Eco-
friendly approaches, such as employing vegetation, prove effective in satisfying the …
friendly approaches, such as employing vegetation, prove effective in satisfying the …
Proposition of geopolymers obtained through the acid activation of iron ore tailings with phosphoric acid
AR de Carvalho, BR da Silva Calderón-Morales… - … and Building Materials, 2023 - Elsevier
This study aims to develop a geopolymer using iron ore tailings (IOT) as a geopolymer
precursor and phosphoric acid (H 3 PO 4) as an activating agent. IOT was characterized …
precursor and phosphoric acid (H 3 PO 4) as an activating agent. IOT was characterized …