Experimental Investigation on Compaction Properties of Sandy Soils


  • Hassan Mujtaba
  • Khalid Farooq
  • Imtiaz Rashid


In this research, an effort has been made to develop a correlation between standard and modified proctor compaction test parameters, i.e., maximum dry unit weight (dmax) and optimum moisture content (OMC) of sandy soils. Standard and modified proctor along with classification tests were carried out on hundred and twenty sandy soil samples with different grain size distributions. Based on the test results, the soil samples were classified into various groups of medium to fine sand with nonplastic fines up to 45%. Regression analyses were performed on the experimental data and correlations were proposed to express modified Proctor parameters (dmod and OMCmod) in term of standard Proctor test parameters (dstd and OMCstd). The validation of the proposed predictive correlations was done by using test results of another set of sandy soil samples not used in the development of the correlations. The results of the analyses showed that variation between experimental and predicted values of dmod is within ± 4 % confidence interval and that of OMCmod is within ± 2.0 %. Further, based on the test results, an effort has been made to investigate the effect of fines (finer than 75m) on compaction characteristics. It was observed that dmax both in case of standard and modified proctor increases with increase in fines content up to 35% and beyond that it decreases. However, the value of OMC in both the cases decreases with increase in fine content. The correlations proposed in this paper may be very useful during the project preliminary/ pre-feasibility stages in the field of Geotechnical Engineering.


Huang, X., Acero, A. and Hon, H.W.: 2001. Spoken Language Processing: A Guide to Theory, Algorithm and System Development. Prentice Hall.

Chen, J., Wu, J. and Wang, Z.: 2003. A Chinese spoken dialogue system for train information. In: Proc of IEEE SMC’2003 [C], Washington D.C., USA, (EI: 2003487750883, ISTP: BX83D).

Zue, V., Seneff, S., Glass, J., Polifroni, J., Pao, C., Hazen, T.J. and Hetherington, L.: JUPITER: 2000. A telephone-based conversational interface for weather information. In: IEEE Transactions on Speech and Audio Processing, Vol. 8, No. 1.

Bick, E. and Hansen, J.A.: 2007. The Fyntour Multilingual Weather and Sea Dialogue System. In: Ron Artstein and Laure Vieu (eds.), Proceedings of DECALOG - The 2007 Workshop on the Semantics and Pragmatics of Dialogue, May 30 – 1, pp. 157-158.

Mestrovic, A., Bernic, L., Pobar, M., Ipsic, S.M. and Ipsic, I.: 2010. A Croatian Weather Domain Spoken Dialog System Prototype. In: Journal of Computing and Information Technology - CIT 18, 4, 309–316 doi:10.2498/cit.1001916.

Eckert, W., Kuhn, T., Niemann, H., Rieck, S., Scheuer, A. and Schukat-Talamazzini, E.G.: 1993. A spoken dialogue system for German intercity train timetable inquiries. In: EUROSPEECH, Berlin, 1993, pp. 129-132.

Baggia,P., Kellner,A., Prennou,G., Popovici, C., Sturm, J. and Wessel, F. 1999. Language Modelling and Spoken Dialogue Systems - the ARISE experience. In: EUROSPEECH.

Narayanan, S., Ananthakrishnan, S., Belvin, R., Ettaile, E., Gandhe, S., Ganjavi, S., Georgiou, P. G., Hein, C. M., Kadambe, S., Knight, K., Marcu, D., Neely, H. E., Srinivasamurthy, N., Traum, D. and Wang, D.: 2004. The transonics spoken dialogue translator: An aid for EnglishPersian doctor-patient interviews. In: AAAI Fall Symposium.

Akram, M.U. and Arif, M.: 2004. Design of an Urdu Speech Recognizer based upon acoustic phonetic modelling approach. In: IEEE INMIC 2004, pp. 91-96, 24-26.

H. Sarfraz, S. Hussain, R. Bokhari, A. A. Raza, I. Ullah, Z. Sarfraz, S. Pervez, A. Mustafa, I. Javed, R. Parveen, 2010. “Large Vocabulary Continuous Speech Recognition for Urdu”, in the Proceedings of International Conference on Frontiers of Information Technology (FIT), Islamabad, Pakistan, 21-23.

Ashraf, J., Iqbal, N., Khattak, N.S. and Zaidi, A.M.: 2010. Speaker Independent Urdu Speech Recognition Using HMM. In: INFOS, IEEE, Cairo, 28-30.

A. A. Raza, S. Hussain, H. Sarfraz, I. Ullah and Z. Sarfraz, 2010. “An ASR System for Spontaneous Urdu Speech”, In the Proc. of Oriental COCOSDA, Kathmandu, Nepal. 24-25.

Irtza, S. and Hussain, S.: 2012. Error Analysis of Single Speaker Urdu Speech Recognition System. In: CLT-12, University of Engineering and Technology, Lahore, Pakistan.

Irtza, S. and Hussain, S. 2013. "Minimally Balanced Corpus for Speech Recognition", in the Proceedings of 1st International Conference on Communications, Signal Processing, and their Applications (ICCSPA'13), IEEE, Sharjah.

Young, S. R.: 1994. Recognition Confidence Measures: Detection of Misrecognitions, and Out-Of-Vocabulary Words. In: Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP-94, Adelaide, Australia.

S. Maria da Feira, 2009. "Out-Of-Vocabulary and Confidence Measures for Speech Recognition Using Phone Models", Proc Conf. on Telecommunications - ConfTele , Portugal, Vol. 1 , pp. 457 - 460.

Kombrink, S. Burget, L., Matejka, P., Karafiat, M., Heřmansky, 2009. "Posterior-based Out of Vocabulary Word Detection in Telephone Speech", In: Proc. Of INTERSPEECH 2009, Brighton, GB, ISCA, p. 80-83, ISSN 1990- 9772.

M. Thomae, T. Fábián, R. Lieb, and G. Ruske, 2005. "Lexical out-of-vocabulary models for one-stage speech interpretation", In: Proc. of INTERSPEECH, pp.441-444.






Civil Engineering,Structures, Construction, Geo technology, Water, Transportation