Results 151 to 160 of about 65,598 (218)

Performance Evaluation and Exponential Prediction Models for LDPE-Substituted Concrete and Mortar. [PDF]

Polymers (Basel)
Sancak OF, Ozyurt MZ, Demirtas G, Sayed SSMA.   +3 more
europepmc   +1 more source

Effect of <i>Bacillus subtilis</i> and <i>Paenibacillus polymyxa</i> on the Compressive Strength and Self-Healing of Type IP Concrete. [PDF]

Materials (Basel)
Rivas Torres BR, Mendoza Tejada OG, Francisco Gamarra Tuco R, Ita-Balta Y, Farfán-Delgado F, Manrique-Sam C.   +5 more
europepmc   +1 more source

Experimental Study on Mechanical and Microstructural Properties of Foam Concrete Incorporating Desert Sand as Partial Fine Aggregate. [PDF]

Materials (Basel)
Tuerhong A, Zeng Q, Maimaitituersun N, Gui S, Ning Z, Peng E.   +5 more
europepmc   +1 more source

Impact of treated wastewater on the mechanical properties and durability of concrete. [PDF]

Sci Rep
Abdelazim O, Abdel-Latif I, Ismail S, Khalaf MA.   +3 more
europepmc   +1 more source

Sustainable Cements with up to 80 wt% Calcined Common Clay: Challenges in Microstructure and Compressive Strength of Concretes. [PDF]

Materials (Basel)
Panzer M, Scherb S, Beuntner N, Thienel KC.   +3 more
europepmc   +1 more source

Effect of water absorption of coarse aggregate on permeability, durability, and microstructure of concrete. [PDF]

iScience
Xu J, Ou Z, Tan S, Li Z, Liu F.
europepmc   +1 more source

Performance and environmental assessment of concrete made with treated industrial wastewater. [PDF]

Sci Rep
Mohsen S, Shamseldein A, Hany Wadie E, Elshafie H.   +3 more
europepmc   +1 more source

A Study on the Properties of Blended Recycled Micro Powder Concrete and Insulation Boards Produced via Microbial Foaming. [PDF]

Materials (Basel)
Zhang HY, Li GQ, Bai HB, Zhang YJ, Rong H, Li XG.   +5 more
europepmc   +1 more source

Development of eco-friendly HPC using advanced hybrid multi-scale basalt fibers and ground mining materials. [PDF]

Sci Rep
Daghash MA, Youssf O, Elshikh MMY, Elshahawi M.   +3 more
europepmc   +1 more source

Comparative evaluation of machine learning and deep learning approaches for compressive strength prediction of geopolymer concrete. [PDF]

Sci Rep
Ezz H, Bakr SM.
europepmc   +1 more source