Results 121 to 130 of about 500 (181)

Influence of Synthesis Route on Composition and Main Properties of Mullite Ceramics Based on Waste. [PDF]

Materials (Basel)
Badanoiu AI, Stoleriu SP, Carocea AC, Eftimie MA, Trusca R.   +4 more
europepmc   +1 more source

Predicting the compressive strength of concrete incorporating waste powders exposed to elevated temperatures utilizing machine learning. [PDF]

Sci Rep
Fathy IN, Dahish HA, Alkharisi MK, Mahmoud AA, Fouad HEE.   +4 more
europepmc   +1 more source

Thermal and Structural Behavior of Investment Casting Molds Modified with Biodegradable Walnut Shell Chips. [PDF]

Materials (Basel)
Małek M, Kluczyński J, Grzejda R, Wiśniewski P, Jenerowicz A, Ewiak I.   +5 more
europepmc   +1 more source

Investigation study data to develop sustainable concrete mix using waste materials as constituents. [PDF]

Data Brief
T NPD, S K.
europepmc   +1 more source

A review of utilization of waste polyurethane foam as lightweight aggregate in concrete. [PDF]

Heliyon
Roobankumar R, SenthilPandian M.
europepmc   +1 more source

Geopolymer CLSM with Off-Specification Fly Ash and Bottom Ash: A Sustainable Approach to Hazardous Waste Utilization. [PDF]

Materials (Basel)
VanDomelen AK, Gheni AA, Gomaa E, ElGawady MA.   +3 more
europepmc   +1 more source

Machine learning for predicting strength properties of waste iron slag concrete. [PDF]

Heliyon
Raju MR, Ahmad SI, Hasan MM, Sadiqul Hasan NM, Islam MM, Basit MA, Hossain IT, Santo SA, Alam MS, Rahman M.   +9 more
europepmc   +1 more source

Dynamic weighted ensemble model for predictive optimization in green sand casting: Advancing industry 4.0 manufacturing. [PDF]

MethodsX
Rajkolhe RV, Bhagwat DSS, Deshmukh DPV.
europepmc   +1 more source

Analysis of the influence of coupling agents on the composition of artificial rocks with polymer matrix. [PDF]

Sci Rep
Reis MB, Carvalho EAS, Delaqua GCG, de Azevedo ARG, Monteiro SN, Vieira CMF.   +5 more
europepmc   +1 more source

Analyzing the influence of manufactured sand and fly ash on concrete strength through experimental and machine learning methods. [PDF]

Sci Rep
Sathvik S, Oyebisi S, Kumar R, Shakor P, Adejonwo O, Tantri A, Suma V.   +6 more
europepmc   +1 more source