Explainable Ensemble Machine Learning for the Prediction and Optimization of Pozzolanic Concrete Compressive Strength. [PDF]
Jueyendah S, Ağcakoca E.
europepmc +1 more source
Reliability-based mix design for concrete compressive strength using a physics-prior residual-learning surrogate with calibrated uncertainty. [PDF]
Qu P, Song L, Wang S.
europepmc +1 more source
Predicting concrete compressive strength using optimized deep learning and large language models. [PDF]
Zaman S +4 more
europepmc +1 more source
The compressive strength of fly ash concrete and its mineralogy
Includes bibliographical references.The use of fly ash as a cement extender in portland cement concrete is well established. Strict requirements are set for the fly ash on its physical properties and chemical composition to ensme its successful ...
Gogol, Volker R
core
Machine learning based optimization of fly ash content for improving geopolymer concrete compressive strength. [PDF]
Sichani MN +4 more
europepmc +1 more source
High-Performance Capacitive Ultrasonic Transducer for Non-Destructive Testing of Concrete Compressive Strength. [PDF]
Zhang W +10 more
europepmc +1 more source
The developments of compressive strength of concrete in high temperature ambience
P(論文)There are some special problems involved in concreting in hot weather, where they would arise from a higher temperature of the concrete, and, in many cases, from an increased rate of evaporation from the fresh mix.
地濃, 茂雄, 42120
core
Real-time prediction of early concrete compressive strength using AI and hydration monitoring. [PDF]
Marchewka A +2 more
europepmc +1 more source
The Compressive Strength of the Lean-Concrete
Ote, Keiji, Takahashi, Tetsuo
openaire +1 more source

