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Exploring temperature-resilient recycled aggregate concrete with waste rubber: An experimental and multi-objective optimization analysis
For low-carbon sustainability, recycled rubber particles (RPs) and recycled aggregate (RA)
could be used to make rubber-modified recycled aggregate concrete (RRAC). The …
could be used to make rubber-modified recycled aggregate concrete (RRAC). The …
Toward self-healing concrete infrastructure: review of experiments and simulations across scales
Cement and concrete are vital materials used to construct durable habitats and infrastructure
that withstand natural and human-caused disasters. Still, concrete cracking imposes …
that withstand natural and human-caused disasters. Still, concrete cracking imposes …
[HTML][HTML] The feasibility of using ultra-high performance concrete (UHPC) to strengthen RC beams in torsion
To explore the feasibility of using ultra-high performance concrete (UHPC) to strengthen
reinforced concrete (RC) beams in torsion, pure torsion tests on 9 specimens have been …
reinforced concrete (RC) beams in torsion, pure torsion tests on 9 specimens have been …
[HTML][HTML] Data-driven compressive strength prediction of steel fiber reinforced concrete (SFRC) subjected to elevated temperatures using stacked machine learning …
Experimental studies using a substantial number of datasets can be avoided by employing
efficient methods to predict the mechanical properties of construction materials. The …
efficient methods to predict the mechanical properties of construction materials. The …
AI-guided auto-discovery of low-carbon cost-effective ultra-high performance concrete (UHPC)
This paper presents an AI-guided approach to automatically discover low-carbon cost-
effective ultra-high performance concrete (UHPC). The presented approach automates data …
effective ultra-high performance concrete (UHPC). The presented approach automates data …
Prediction of thermo-mechanical properties of rubber-modified recycled aggregate concrete
The recycled aggregate (RA) and waste rubber particles (RPs) can be combined to prepare
rubber-modified recycled aggregate concrete (RRAC) effectively contributing to low-carbon …
rubber-modified recycled aggregate concrete (RRAC) effectively contributing to low-carbon …
[HTML][HTML] Machine learning-driven predictive models for compressive strength of steel fiber reinforced concrete subjected to high temperatures
Steel-fiber-reinforced concrete (SFRC) has emerged as a viable and efficient substitute for
traditional concrete in the construction industry. By incorporating steel fibers into the …
traditional concrete in the construction industry. By incorporating steel fibers into the …
Estimating compressive strength of modern concrete mixtures using computational intelligence: A systematic review
The mixture proportioning of conventional concrete is commonly established using
regression analysis of experimental data. However, such traditional empirical procedures …
regression analysis of experimental data. However, such traditional empirical procedures …
[HTML][HTML] Forecasting the strength of graphene nanoparticles-reinforced cementitious composites using ensemble learning algorithms
Contemporary infrastructure requires structural elements with enhanced mechanical
strength and durability. Integrating nanomaterials into concrete is a promising solution to …
strength and durability. Integrating nanomaterials into concrete is a promising solution to …
Prediction and multi-objective optimization of mechanical, economical, and environmental properties for strain-hardening cementitious composites (SHCC) based on …
This study develops a framework for property prediction and multi-objective optimization of
strain-hardening cementitious composites (SHCC) based on automated machine learning …
strain-hardening cementitious composites (SHCC) based on automated machine learning …