Results 191 to 200 of about 9,198 (264)

Net Carbon Sink Potential of Porous Vegetated Concrete: A Life-Cycle Assessment. [PDF]

Materials (Basel)
Ren H, Lu L, Tang B, Li T.
europepmc   +1 more source

Towards standardisation of zinc slag as a sustainable fine aggregate substitute in concrete. [PDF]

Sci Rep
Yoon JC, Shivaprasad KN, Min TB, Lee WJ, Na JM, Yang HM, Lee S.   +6 more
europepmc   +1 more source

A Review of the Current Status and Development Trends of Compression Casting Concrete. [PDF]

Materials (Basel)
Xu X, Yu Y, Han H, Xu S, Zhang F.
europepmc   +1 more source

A Comprehensive Review of Carbon Capture, Storage, and Reduction Strategies Within the Built Environment. [PDF]

Materials (Basel)
Hamed EAE, Khan SA, Yousaf A, Koç M.
europepmc   +1 more source

A Comprehensive Review of Mineral Carbonation of Civil Engineering Materials: A Bibliometric Analysis. [PDF]

Environ Sci Technol
Song Y, Diao X, Xu R, Wang X, Han Y, Shi T, Fang B, Liu Y, Corr DJ.   +8 more
europepmc   +1 more source

Research Progress on the Application of Soda Residue in Cementitious Materials. [PDF]

Materials (Basel)
Gong Y, Zhao K, Liu G, Ba Y, Wu Y, Liu Z, Yang Y.   +6 more
europepmc   +1 more source

The influence of calcitic filler in natural hydraulic lime for high humidity and temperature climatic conditions:a preliminary investigation

, 2013
Forster, Alan Mark; id_orcid, Torney, Clare, Razali, Nadia Binti, Szadurski, Ewan Marek   +3 more
core  

Thermal Insulation and Compressive Strength of Lightweight Geopolymer Foam Concrete Exposed to Accelerated Weathering by Carbonation, Salt Fog and UV Light. [PDF]

Materials (Basel)
de la Rosa-Corral GA, Corral-Higuera R, Arredondo-Rea SP, Castro-Beltrán A, De la Cruz-Delgado A, Martinez-Garcia A, Orozco-Carmona VM.   +6 more
europepmc   +1 more source

CFG-DWC: a hybrid correlation-driven feature engineering framework for optimized machine learning performance in carbonation depth analysis of concrete subjected to natural environments. [PDF]

Sci Rep
Yilmaz Y, Çakmak T, Ustabaş İ.
europepmc   +1 more source

Compressive strength prediction of carbonated recycled aggregate concrete using regression based machine learning models. [PDF]

Sci Rep
Gebremariam HG, Taye S, Tarekegn AG.
europepmc   +1 more source