Prediction of chloride permeability of concretes containing ground pozzolans by artificial neural networks

Rice husk ash blended cement: Assessment of optimal level of replacement for strength and permeability properties of concrete

K. Ganesan, K. Thangavel · Construction and Building Materials · 2007 · 681 citations

Engineering, Civil Engineering, Materials Engineering +15

Prediction of compressive strength of concrete containing fly ash using artificial neural networks and fuzzy logic

İlker Bekir Topçu, Mustafa Sarıdemir · Computational Materials Science · 2007 · 525 citations

Engineering, Civil Engineering, Materials Engineering +17

Pozzolanic activity and filler effect of sugar cane bagasse ash in Portland cement and lime mortars

Guilherme Chagas Cordeiro, Romildo Dias Tolêdo Filho, Luís Marcelo Tavares et al. · Cement and Concrete Composites · 2008 · 499 citations

Architecture, Building Science, Building Materials +16

Ultrafine grinding of sugar cane bagasse ash for application as pozzolanic admixture in concrete

Guilherme Chagas Cordeiro, Romildo Dias Tolêdo Filho, Luís Marcelo Tavares et al. · Cement and Concrete Research · 2008 · 397 citations

Engineering, Civil Engineering, Building Materials +10

Predicting the compressive strength of ground granulated blast furnace slag concrete using artificial neural network

Cahit Bilim, Cengiz Duran Atiş, Okan Karahan · Advances in Engineering Software · 2008 · 331 citations

Engineering, Civil Engineering, Materials Engineering +13