A data mining approach for predicting jet grouting geomechanical parameters

Geotechnical Special Publication

Volumn , Issue 223 GSP, 2011, Pages 97-104

  Tinoco, J ^a   Correia, A Gomes ^a   Cortez, P ^a  

^a UNIVERSITY OF MINHO   (Portugal)

Author keywords

Data collection; Jet grouting; Parameters; Predictions

Indexed keywords

CONSTRUCTION CONTROL; DATA COLLECTION; EUROCODE2; FUNCTIONAL NETWORK; GEOMECHANICAL PROPERTIES; GEOTECHNICAL STRUCTURE; GEOTECHNICAL WORKS; JET GROUTING; KEY PARAMETERS; PARAMETERS; POTENTIAL TOOL; SENSITIVE ANALYSIS; SERVICEABILITY LIMIT STATE; SOFT SOILS; SOIL-CEMENT MIXTURES; SUPPORT VECTOR MACHINE (SVM); ULTIMATE LIMIT STATE; UNIAXIAL COMPRESSIVE STRENGTH; YOUNG MODULUS;

BITUMINOUS MATERIALS; CONCRETE CONSTRUCTION; DATA MINING; FORECASTING; GEOMECHANICS; HIGHWAY ENGINEERING; MORTAR; NEURAL NETWORKS; PAVEMENTS; STANDARDS; SUPPORT VECTOR MACHINES;

GROUTING;

EID: 84859959688     PISSN: 08950563     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1061/47634(413)13     Document Type: Conference Paper

References (15)

1. Castillo, E., Cobo, A., Gutiérrez, J. M. and Pruneda, E. (1998). Functional Networks with Applications: a neural-based paradigm. Springer.
2. Cortez, P., Teixeira, J., Cerdeira, A., Almeida, F., Matos, T. and Reis, J. (2009). Using Data Mining for Wine Quality Assessment. In J. Gama et al. (Eds. ), Discovery Science, 12th International Conference, Lecture Notes in ArtificialIntelligence 5808, 66-69, Porto, Portugal Springer.
3. Cortez, P. (2010). Data Mining with Neural Networks and Support Vector Machinesusing the Rrminer Tool. In P. Perner (Ed. ), Advances in Data Mining, Proceedings of 10th Industrial Conference on Data Mining, Berlin, Germany, Lecture Notes in Computer Science, Springer.
4. Croce, P. and Flora, A. (2001). Analysis of single-fluid jet grouting. Géotechnique, Vol. 51: 905-906.
5. EN 1992-1-1-Eurocode 2: Design of concrete structures-Part 1-1: General rulesand rules for buildings. (2004).
6. Falcão, J. F., Pinot, A. L. and Pinto, F. D. (2006). Cases histories of groundimprovement solutions using jet-grouting. GAMS, Development Corporation, On-line Documentation, Welcome to the GAMSHome Page, http://www. gams. com/docs/document. htm (accessed May 17, 2010).
7. Goh, A. T. C. and Goh, S. H. (2007). Support vector machines: Their use ingeotechnical engineering as illustrated using seismic liquefaction data. Computersand Geotechnics, Vol. 34: 410-421. (Pubitemid 47497232)
8. Gomes Correia, A., Valente, T., Tinoco, J., Falcão, J., Barata, J., Cebola, D. andCoelho, S. (2009). Evaluation of mechanical properties of jet-grouting columnsusing different test methods. 17th International Conference on Soil Mechanicsand Geotechnical Engineering, 2179-2171, Alexandria, Egypt.
9. Kenig, S., Ben-David, A., Orner, M. and Sadeh, A. (2001). Control of properties ininjection molding by neural networks. Engineering Applications of ArtificialIntelligence, 819-823. (Pubitemid 34719387)
10. Kewley, R. H., Embrechts, M. J. and Breneman, C. (2000). Data Strip Mining for theVirtual Design of Pharmaceuticals with Neural Networks. IEEE Transactions onNeural Networks, 668-679.
11. Kirsh, F. and Sondermann, W. (2001). Ground Improvement and its NumericalAnalysis. Proceedings of 15th Int. Conf. Soil. Mech. Found. Eng., Istanbul.
12. Padura, A. B., Sevilla, J. B. and Navarro, J. G. (2008). Study of the soil consolidationusing reinforced jet grouting by geophysical and geotechnical techniques: LaNormal building complex (Granada). Construction and Building Materials, doi: 10. 1016/j. conbuildmat. 2008. 07. 011.
13. Shibazaki, M. (2003). State of Pratice of Jet Grouting. Grouting and Ground Treatment, 198-217, New Orleans.
14. Tinoco, J., Gomes Correia, A. and Cortez, P. (2009) A Data Mining Approach for Jet Grouting Uniaxial Compressive Strength Prediction. Word Congress on Nature &Biologically Inspired Computing. NaBIC 2009, 553-558, Coimbatore, India.
15. Tinoco, J., Gomes Correia, A. and Cortez, P. (2010) Application of Data MiningTechniques to Estimate ElasticYoung Modulus Over Time of Jet GroutingLaboratory Formulations. 1st International Conference on InformationTechnology in Geo-Engineering. ICITG-Shanghai 2010, 92-100, Shanghai, China.