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Pregled bibliografske jedinice broj: 914377

Estimate of Uniaxial Compressive Strength and Young's Modulus of the Elasticity of Natural Stone Giallo d’Istria

Briševac, Zlatko; Hrženjak, Petar; Cotman, Ivan
Estimate of Uniaxial Compressive Strength and Young's Modulus of the Elasticity of Natural Stone Giallo d’Istria // Procedia Engineering, vol. 191 / Konicek, Petr ; Soucek, Kamil ; Konecny, Pavel (ur.).
Ostrava, Češka Republika: Elsevier, 2017. str. 434-441 doi:10.1016/j.proeng.2017.05.201 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)

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Naslov
Estimate of Uniaxial Compressive Strength and Young's Modulus of the Elasticity of Natural Stone Giallo d’Istria

Autori
Briševac, Zlatko ; Hrženjak, Petar ; Cotman, Ivan

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Procedia Engineering, vol. 191 / Konicek, Petr ; Soucek, Kamil ; Konecny, Pavel - : Elsevier, 2017, 434-441

ISBN
978-1-5108-4333-2

Skup
ISRM European Rock Mechanics Symposium - EUROCK 2017

Mjesto i datum
Ostrava, Češka Republika, 20.06.2017. - 22.06.2017

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Uniaxial compressive strength ; Young's modulus of the elasticity ; estimation ; Giallo d’Istria ; neural network ; simple regression

Sažetak
The famous natural stone Giallo d’Istria, is categorized as a thick-bedded biomicritic limestone, is exploited in three locations on the Croatian peninsula of Istria. In order to detect high-quality areas of the existing quarries and some new areas of exploitation as well, models have been developed for the purpose of estimating important physico- mechanical properties of this limestone. The models are based on the results of many laboratory tests. Complex and simple estimation models have been mutually compared. The modelling is based on neural networks and multiple and simple regressions. Special attention was paid to the applicability of the developed models in other sites.

Izvorni jezik
Engleski

Znanstvena područja
Geologija, Građevinarstvo, Rudarstvo, nafta i geološko inženjerstvo



POVEZANOST RADA

Ustanove:
Rudarsko-geološko-naftni fakultet, Zagreb

Profili:

Avatar Url Zlatko Briševac (autor)

Avatar Url Ivan Cotman (autor)

Avatar Url Petar Hrženjak (autor)

Poveznice na cjeloviti tekst rada:

Pristup cjelovitom tekstu rada doi www.sciencedirect.com

Citiraj ovu publikaciju:

Briševac, Zlatko; Hrženjak, Petar; Cotman, Ivan
Estimate of Uniaxial Compressive Strength and Young's Modulus of the Elasticity of Natural Stone Giallo d’Istria // Procedia Engineering, vol. 191 / Konicek, Petr ; Soucek, Kamil ; Konecny, Pavel (ur.).
Ostrava, Češka Republika: Elsevier, 2017. str. 434-441 doi:10.1016/j.proeng.2017.05.201 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Briševac, Z., Hrženjak, P. & Cotman, I. (2017) Estimate of Uniaxial Compressive Strength and Young's Modulus of the Elasticity of Natural Stone Giallo d’Istria. U: Konicek, P., Soucek, K. & Konecny, P. (ur.)Procedia Engineering, vol. 191 doi:10.1016/j.proeng.2017.05.201.
@article{article, author = {Bri\v{s}evac, Zlatko and Hr\v{z}enjak, Petar and Cotman, Ivan}, year = {2017}, pages = {434-441}, DOI = {10.1016/j.proeng.2017.05.201}, keywords = {Uniaxial compressive strength, Young's modulus of the elasticity, estimation, Giallo d’Istria, neural network, simple regression}, doi = {10.1016/j.proeng.2017.05.201}, isbn = {978-1-5108-4333-2}, title = {Estimate of Uniaxial Compressive Strength and Young's Modulus of the Elasticity of Natural Stone Giallo d’Istria}, keyword = {Uniaxial compressive strength, Young's modulus of the elasticity, estimation, Giallo d’Istria, neural network, simple regression}, publisher = {Elsevier}, publisherplace = {Ostrava, \v{C}e\v{s}ka Republika} }
@article{article, author = {Bri\v{s}evac, Zlatko and Hr\v{z}enjak, Petar and Cotman, Ivan}, year = {2017}, pages = {434-441}, DOI = {10.1016/j.proeng.2017.05.201}, keywords = {Uniaxial compressive strength, Young's modulus of the elasticity, estimation, Giallo d’Istria, neural network, simple regression}, doi = {10.1016/j.proeng.2017.05.201}, isbn = {978-1-5108-4333-2}, title = {Estimate of Uniaxial Compressive Strength and Young's Modulus of the Elasticity of Natural Stone Giallo d’Istria}, keyword = {Uniaxial compressive strength, Young's modulus of the elasticity, estimation, Giallo d’Istria, neural network, simple regression}, publisher = {Elsevier}, publisherplace = {Ostrava, \v{C}e\v{s}ka Republika} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Conference Proceedings Citation Index - Science (CPCI-S)

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