Literature Review | A Review of Ultra High Performance Concrete (UHPC) Research Towards a Lower Carbon Direction

UHPC is known for its ultra-high compressive strength (usually exceeding 120 MPa), high toughness, and excellent durability, and is suitable for foundation column structures, beams, bridges, seismic and blast resistant engineering, and marine environments.

Compared to ordinary concrete, the amount of UHPC cementitious material used is 800 to 1100 kg/m ³, which is about 3 to 4 times that of ordinary concrete, resulting in a higher carbon footprint.

The main technological paths to achieve low-carbon UHPC include: mix design optimization (experimental optimization, statistical factor design, dense packing method), waste substitution (high silicon waste replacing cementitious materials, recycled aggregates replacing natural aggregates, waste fibers replacing steel fibers), and geopolymer cementless UHPC.

However, the definition of low-carbon is still unclear, and there is a lack of quantitative comparison between carbon emissions and energy consumption.

Some studies overlook the minimum strength requirement of UHPC at 120 MPa.

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This review aims to systematically identify the most promising low-carbon UHPC technology paths by establishing a detailed inventory database.

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Concrete bleeding and segregation, insufficient slurry, and poor workability! Try using water retention and slurry extraction agents.

The water retaining and slurry improving agent product is a new type of concrete admixture independently developed and produced by our company.

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This product belongs to a micro crosslinked ternary polymerization system, which wraps and adsorbs water molecules through crosslinked grids.

Under external shear, water molecules are released again, achieving the effect of water retention and slurry extraction.

This product has no rusting effect on steel bars and can be widely used in various types of concrete pumping construction such as construction, roads, bridges, hydraulic engineering, and underground engineering.

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Reference sharing 165: Real time interpretable clustered layered LightGBM framework for high-precision prediction of concrete strength and

High performance concrete (HPC) has strict requirements for mix ratio accuracy and performance stability.

Traditional iterative trial mixing methods based on ACI specifications are difficult to efficiently explore high-dimensional nonlinear interaction relationships between multi-component materials.

Existing machine learning prediction models mostly remain in the offline computing stage, and generally suffer from insufficient interpretability of the “black box” and poor adaptation to the heterogeneity of mix proportion samples, making it difficult to directly support real-time mix proportion adjustment on site.

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Rapid identification method for fly ash quality (reference for reference)

Fly ash is one of the main raw materials for ready mixed concrete, and its quality directly affects the quality and performance of the concrete.

In order to strictly control the quality of incoming fly ash and better utilize this resource to improve concrete performance, this article summarizes a rapid identification method for fly ash quality.

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