Results 81 to 90 of about 29,689 (283)
Permeability, porosity and compressive strength of self-compacting concrete
Most deterioration affecting the durability of self-compacting concrete structures is mediated by water penetration in the concrete, a condition related to its porous structure. The present study analyzes these two factors.
M.O. Valcuende, C. Parra, J. Benlloch
doaj +1 more source
This review provides a bottom‐up evaluation of sodium‐ion battery safety, linking material degradation mechanisms, cell engineering parameters, and module/pack assembly. It emphasizes that understanding intrinsic material stability and establishing coordinated engineering control across hierarchical levels are vital for preventing degradation coupling ...
Won‐Gwang Lim +5 more
wiley +1 more source
Bond behavior of self compacting concrete
The success of an optimum design lies in the effective load transfer done by the bond forces at the steel-concrete interface. Self Compacting Concrete, is a new innovative concrete capable of filling intrinsic reinforcement and gets compacted by itself ...
Ponmalar S.
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The ICARUS project developed pilot‐scale processes to recover and refine secondary raw materials from silicon photovoltaic (PV) ingot and wafer manufacturing waste. Silicon kerf, graphite, and silica residues are purified into high‐value inputs for the PV value chain and beyond.
Martin Bellmann +18 more
wiley +1 more source
The aim of this study is to find a correlation between strength of different concrete specimen shapes and sizes of self-compacting concrete, to evaluate the mechanical properties (compressive strength, splitting tensile strength and modulus of ...
Ghazi F. Kheder +2 more
doaj
Excess paste method to formulate a self-compacting concrete
On the basis of the principle that a concrete is composed of a liquid phase (paste) and a solid phase (aggregates with fixed gravel/sand ratio), the concrete self-compacting properties come necessarily from those of the paste.
Abdelkader Mebrouki +3 more
doaj +1 more source
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
The Effect of Temperature on the Properties of Fresh Self-Compacting Concrete
The rheological properties of self-compacting concrete are closely influenced by temperature and the time. Previous studies which aim was to research the effect of temperature on self-compacting concrete workability, showed that the behaviour of fresh ...
Cygan G., Gołaszewski J., Drewniok M.
doaj +1 more source
In this work, the Doubao large language model (LLM) is involved in the formula derivation processes for Hubbard U determination regarding the second‐order perturbations of the chemical potential. The core ML tool is optimized for physical domain knowledge, which is not limited to parameter prediction but rather serves as an interactive physical theory ...
Mingzi Sun +8 more
wiley +1 more source
Abstract This research aims to study the intelligent wireless sensor to improve the water permeability of permeable asphalt concrete pavement. The water permeability of pavement is extremely important for the traffic environment. This study first briefly introduces the background and significance analysis, and then exemplifies the deployment algorithm ...
Xingmei Zhang, Cong Xu, Qi Lei
wiley +1 more source

