Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Hasbi Yaprak"'
Publikováno v:
Ceramics-Silikáty, Vol 55, Iss 3, Pp 268-275 (2011)
This article investigates the sulphate resistance of cement mortars when subjected to different exposure conditions. Cement mortars were prepared using ground waste brick (GWB) as a pozzolanic partial replacement for cement at replacement levels of 0
Externí odkaz:
https://doaj.org/article/74be9771f19c4141a2fa7e74bd0d32ab
Tarımsal Yapılar İçin Farklı Kafes Kiriş Sistemlerinin Boyutsal ve Ekonomik Yönden Karşılaştırılması
Autor:
Hasbi Yaprak, Metin Olgun
Publikováno v:
Journal of Agricultural Sciences, Vol 03, Iss 03, Pp 34-42 (1997)
Çat ı , tarı msal yap ı larda en pahal ı olan bir yap ı eleman ı d ı r. Kafes kirişler son y ı llarda tar ı msal yap ı ları n çat ı sistemlerinde yayg ı n olarak kullan ı lmaktad ı r. Bu çal ışmada 6 tip kafes kiri ş gözönüne
Externí odkaz:
https://doaj.org/article/9a9e461106df41b580ea987c2f8fc3d2
Concrete consumes over two billion tons of freshwater every year and 75 % of regions of the world will become water shortages in 2050. Because of increasing freshwater scarcity seawater may become reasonable as an alternative mixing and curing water
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bad490d98da7071251f576ad8837d6e2
https://avesis.gazi.edu.tr/publication/details/c4a0a95c-8157-485b-92d9-b113d98c549d/oai
https://avesis.gazi.edu.tr/publication/details/c4a0a95c-8157-485b-92d9-b113d98c549d/oai
Publikováno v:
MOJ Civil Engineering. 5:45-50
Publikováno v:
Computer Modeling in Engineering & Sciences. 118:207-228
Demir, Ilhami/0000-0002-8230-4053 WOS: 000456418500009 In this study, deep-neural-network (DNN)- and artificial-neural-network (ANN)- based models along with regression models have been developed to estimate the pressure, bending and elongation value
Publikováno v:
Lecture Notes in Civil Engineering ISBN: 9783319643489
Increasing number of industrial facilities and population concentration in particular regions along with overconsumption are main reasons of the increased environmental pollution. It is a necessity to preserve available resources and to keep the wast
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4c5b74df94639d403b18e074106ccf5
https://doi.org/10.1007/978-3-319-64349-6_15
https://doi.org/10.1007/978-3-319-64349-6_15
Publikováno v:
Neural Computing and Applications. 22:133-141
Karaci, Abdulkadir/0000-0002-2430-1372; Demir, Ilhami/0000-0002-8230-4053 WOS: 000313062100015 The present study aims at developing an artificial neural network (ANN) to predict the compressive strength of concrete. A data set containing a total of 7
Publikováno v:
Buildings
Volume 9
Issue 1
Volume 9
Issue 1
The use of mineral admixtures and industrial waste as a replacement for Portland cement is recognized widely for its energy efficiency along with reduced CO2 emissions. The use of materials such as fly ash, blast-furnace slag or limestone powder in c
Publikováno v:
Usak University Journal of Material Sciences. 3:208-208