Utilize este identificador para referenciar este registo: http://hdl.handle.net/1822/50250

TítuloJet grouting column diameter prediction based on a data-driven approach
Autor(es)Tinoco, Joaquim Agostinho Barbosa
Correia, A. Gomes
Cortez, Paulo
Palavras-chaveSoil improvement
Jet grouting
Column diameter
Data mining
Neural networks
Support vector machines
Sensitivity analysis
EditoraTaylor and Francis
RevistaEuropean Journal of Environmental and Civil Engineering
CitaçãoJ. Tinoco, A. Gomes Correia, and P. Cortez. Jet grouting column diameter prediction based on a data-driven approach. European Journal of Environmental and Civil Engineering, 22(3):338–358, January 2018.
Resumo(s)This study takes advantage of the high learning capabilities of data mining (DM) techniques towards to the development of a novel approach for jet grouting (JG) column diameter prediction. The high number of variables involved in JG technology as well as the complex phenomena related with the injection process make JG column diameter (D) prediction a difficult task. Therefore, in order to overcome it, the flexible learning capabilities of DM techniques were applied as an alternative approach of the traditional tools. The achieved results show that both artificial neural network and support vector machine algorithms can be trained to accurately predict D built in different soil types of clayey nature and using different JG systems. In both cases a coefficient of correlation () very close to the unity was achieved. For models training, a set of eight input variables were considered. Among them, the rod withdrawal speed, flow rate of the grout slurry and the JG system were identified as the most relevant ones, although the grout pressure and the dynamic impact of the grout also revealed an important influence on D prediction. Moreover, additionally to the identification of the key model variables, it was also measured their effects on D prediction based on a data-based sensitivity analysis. These achievements represent a novel contribution for JG technology, mainly at the design level. Furthermore, the obtained results also underline the potential and contribution of DM to solving complex problem in geotechnical engineering.
Versão da editorahttp://www.tandfonline.com/doi/full/10.1080/19648189.2016.1194329
Arbitragem científicayes
Aparece nas coleções:ISISE - Artigos em Revistas Internacionais

Partilhe no FacebookPartilhe no TwitterPartilhe no DeliciousPartilhe no LinkedInPartilhe no DiggAdicionar ao Google BookmarksPartilhe no MySpacePartilhe no Orkut
Exporte no formato BibTex mendeley Exporte no formato Endnote Adicione ao seu Currículo DeGóis