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Development of empirical correlations between shear wave velocity and in situ penetration test results for different types of soils in DMDP area, Bangladesh

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Abstract

For seismic microzonation and site response analysis, shear wave velocity Vs is a crucial element for approximating dynamic response of the soil. Direct determination of shear wave velocity is not only expensive but also requires sophisticated technology and an environment free of industrial and traffic noise. This necessitates to develop an empirical correlation with easily accessible soil parameter like standard penetration tests (SPT)-N with Vs. This study has established empirical correlation between two soil parameters, that is, N-values obtained from SPT and shear wave velocity obtained from PS logging tests in Dhaka Metropolitan Development Plan (DMDP) area, Bangladesh, with an area of 1530 km2. Both the tests have been carried out in the same boreholes. This correlation has been established using 9335 data pairs for all soils collected from 400 boreholes. Work at this extent has never been done in DMDP area. Empirical correlation between these two parameters is geographic location specific and becomes invalid for other sites. To establish correlation equation, a nonlinear regression of power law model has been utilized. This model equation has been validated by multiple methods including root-mean-square (RMS) method and graphical methods consisting of a comparative illustration between measured and predicted Vs. Also, the newly established equation has been compared with previously established equations by other research worldwide and they have been found to be in good agreement. The newly established empirical correlation can be utilized for the purpose of seismic hazard analysis for the area under study.

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References

  • Anbazhagan P, Kumar A, Sitharam TG (2012) Seismic site classification and correlation between standard penetration test N value and shear wave velocity for Lucknow City in IndoGangetic Basin. Pure Appl Geophys 170(2013):299–318

    Google Scholar 

  • Ataee O, Moghaddas NH, Lashkaripour GR (2019) Estimating shear wave velocity of soil using standard penetration test (SPT) blow counts in Mashhad City. J Earth Syst Sci. https://doi.org/10.1007/s12040-019-1077-x

    Article  Google Scholar 

  • Athanasopoulos GA (1995) Empirical correlations Vs-NSPT for soils of Greece: a comparative study of reliability Proc. 7th Int. Conf. on Soil Dynamics and Earthquake Engineering (Chania, Crete) ed A S C¸ akmak (Southampton: Computational Mechanics) pp. 19–36

  • ASTM (2002) Standard test method for penetration test and split barrel sampling of soils (D 1586 – 99). 2002 Annual Book of ASTM Standards, sect. 4, vol. 04.08, American Society of Testing and Materials, Philadelphia

  • ASTM D7400 (2008) Standard test methods for downhole seismic testing. In: ASTM International - Standards Worldwide. https://www.astm.org/DATABASE.CART/HISTORICAL/D7400-08.htm. Accessed 17 Oct 2021

  • Bandyopadhyay S, Sengupta A, Reddy GR (2019) Development of correlation between SPT-N value and shear wave velocity and estimation of non-linear seismic site effects for soft deposits in Kolkata city. Geomech Geoeng 16:1–19. https://doi.org/10.1080/17486025.2019.1640898

    Article  Google Scholar 

  • BNBC (2020) Bangladesh National Building Code, published by Housing and Building Research Institute and Bangladesh University of Engineering & Technology, Dhaka, Bangladesh

  • CDMP (2009) Seismic hazard and vulnerability assessment of Dhaka, Chittagong and Sylhet city corporation areas. Final report, Comprehensive Disaster Management Programme, Ministry of Food and Disaster Management, Dhaka, Bangladesh

  • Cosenza P, Marmet E, Rejiba F et al (2006) Correlations between geotechnical and electrical data: a case study at garchy in France. J Appl Geophys 60:165–178. https://doi.org/10.1016/j.jappgeo.2006.02.003

    Article  Google Scholar 

  • Dewan AM, Yamaguchi Y (2009) Land use and land cover change in Greater Dhaka, Bangladesh: using remote sensing to promote sustainable urbanization. Appl Geogr. https://doi.org/10.1016/j.apgeog.2008.12.005

    Article  Google Scholar 

  • Dikmen Ü (2009) Statistical correlations of shear wave velocity and penetration resistance for soils. J Geophys Eng 6:61–72. https://doi.org/10.1088/1742-2132/6/1/007

    Article  Google Scholar 

  • Dodge Y (2008) The concise encyclopedia of statistics. Springer New York, New York, NY

    Google Scholar 

  • Esfehanizadeh M, Nabizadeh F, Yazarloo R (2014) Correlation between standard penetration (N SPT) and shear wave velocity (V s) for Young Coastal Sands of the Caspian Sea. Arab J Geosci 8:7333–7341. https://doi.org/10.1007/s12517-014-1751-x

    Article  Google Scholar 

  • Fatehnia M, Hayden M, Landschoot M (2015) Correlation between shear wave velocity and SPT-N values for North Florida soils. Electron J Geotech Eng 22(22):12421–12430

    Google Scholar 

  • Fauzi A, Fauzi UJ, Masyhur I (2014) Empirical correlation of shear wave velocity and N-SPT value for Jakarta. Inte J Geomate. https://doi.org/10.21660/2014.13.3263

    Article  Google Scholar 

  • Gautam D (2017) Empirical correlation between uncorrected standard penetration resistance (N) and shear wave velocity (VS) for Kathmandu Valley, Nepal. Geomatics, Nat Hazards Risk 8:496–508. https://doi.org/10.1080/19475705.2016.1243588

    Article  Google Scholar 

  • Hasancebi N, Ulusay R (2006) Empirical correlations between shear wave velocity and penetration resistance for ground shaking assessments. Bull Eng Geol Env 66:203–213. https://doi.org/10.1007/s10064-006-0063-0

    Article  Google Scholar 

  • Hossain ASMF, Ansary MA (2015) Shear wave velocity as a function of standard penetration number and depth in Dhaka City, Bangladesh

  • Imai T (1977) P-and S-wave velocities of the ground in Japan Proc. 9th Int. Conf. on Soil Mechanics and Foundation Engineering vol 2 pp. 127–32

  • Imai T, Tonouchi K (1982) Correlation of N-value with S-wave velocity and shear modulus and its application. Found Eng 70–76 (in Japanese)

  • Imai T, Fumoto H, Yokota K (1975) The relation of mechanical properties of soil to P- and S-wave velocities in Japan Proc. 4th Japan Earthquake Engineering Symp. pp 89–96 (in Japanese)

  • Imai T, Yoshimura Y (1975) The relation of mechanical properties of soils to P and S-wave velocities for ground in Japan. Technical note OYO Corporation

  • Jafari M, Shafiee A, Razmkhah A (2002) Dynamic properties of fine grained soils in South of Tehran. J Seismol Earthq Eng 4(1):25–35

    Google Scholar 

  • Jobson JD (1991) Multiple linear regression. In: Jobson JD (ed) Applied multivariate data analysis: regression and experimental design. Springer, New York, NY, pp 219–398

    Chapter  Google Scholar 

  • Kiku H, Yoshida N, Yasuda S, Irisawa T, Nakazawa H, Shimizu Y, Ansal A, Erkan A (2001) In-situ penetration tests and soil profiling in Adapazari, Turkey. Proceedings of the ICSMGE/TC4 Satellite Conference on Lessons Learned From Recent Strong Earthquakes. Istanbul. p. 259–265

  • Kirar B, Maheshwari BK, Muley P (2016) Correlation between shear wave velocity (VS) and SPT resistance (n) for Roorkee Region. Int J Geosynth Ground Eng. https://doi.org/10.1007/s40891-016-0047-5

    Article  Google Scholar 

  • Kumar A, Satyannarayana R, Rajesh BG (2022) Correlation between SPT-N and shear wave velocity (VS) and seismic site classification for Amaravati city, India. J Appl Geophys. https://doi.org/10.1016/j.jappgeo.2022.104757

    Article  Google Scholar 

  • Kuo C-H, Cheng D-S, Hsieh H-H et al (2009) Comparison of three different methods in investigating shallow shear-wave velocity structures in Ilan, Taiwan. Soil Dyn Earthq Eng 29:133–143. https://doi.org/10.1016/j.soildyn.2008.01.010

    Article  Google Scholar 

  • Lee SHH (1990) Regression models of shear wave velocities in Taipei basin. J Chin Inst Eng 13:519–532. https://doi.org/10.1080/02533839.1990.9677284

    Article  Google Scholar 

  • BGR-GSB (2014) Geomorphologic Map of Greater Dhaka City, Bangladesh. BGR

  • Lu C-C, Hwang J-H (2019) Correlations between Vs and SPT-N by different borehole measurement methods: effect on seismic site classification. Bull Earthq Eng 18:1139–1159. https://doi.org/10.1007/s10518-019-00767-1

    Article  Google Scholar 

  • Noreña PCT, Alhuay-León CG (2021) The empirical correlation between shear wave velocity and penetration resistance for the eolian sand deposits in the city of Olmos-Peru. DYNA 88(217):247–255. https://doi.org/10.15446/dyna.v88n217.93317

    Article  Google Scholar 

  • Ohba S, Toriumi I (1970) Dynamic response characteristics of Osaka Plain. In Proceedings of the annual meeting AIJ (in Japanese)

  • Ohsaki Y, Iwasaki R (1973) On dynamic shear moduli and Poisson’s ratios of soil deposits. Soils Found 13:61–73. https://doi.org/10.3208/sandf1972.13.4_61

    Article  Google Scholar 

  • Ohta T, Hara A, Niwa M, Sakano T (1972) Elastic shear moduli as estimated from N-value. In Proceedings 7th annual convention of Japan society of soil mechanics and foundation engineering pp. 265–268

  • Ohta Y, Goto N (1978) Empirical shear wave velocity equations in terms of characteristic soil indexes. Earthq Eng Struct Dynam 6:167–187. https://doi.org/10.1002/eqe.4290060205

    Article  Google Scholar 

  • Okamoto T, Kokusho T, Yoshida Y, Kusuonoki K (1989) Comparison of surface versus subsurface wave source for P–S logging in sand layer Proc. 44th Ann. Conf. JSCE vol 3 pp 996–7 (in Japanese)

  • Rahman MZ, Kamal AS, Siddiqua S (2018) Near-surface shear wave velocity estimation and Vs30 mapping for Dhaka City, Bangladesh. Nat Hazards 92:1687–1715. https://doi.org/10.1007/s11069-018-3266-3

    Article  Google Scholar 

  • RAJUK (2021) Detailed Area Plan (2016–2035), published by the Capital Development Authority of Bangladesh (RAJUK), Ministry of Housing & Public Works

  • Shukla D, Solanki CH (2020) Estimated empirical correlations between shear wave velocity and SPT-N value for Indore city using NLR and ANN. Indian Geotech J 50:784–800. https://doi.org/10.1007/s40098-020-00417-3

    Article  Google Scholar 

  • Sil A, Haloi J (2017) Empirical correlations with standard penetration test (SPT)-N for estimating shear wave velocity applicable to any region. Int J Geosynth Ground Eng. https://doi.org/10.1007/s40891-017-0099-1

    Article  Google Scholar 

  • Sun C-G, Cho C-S, Son M, Shin JS (2012) Correlations between shear wave velocity and in-situ penetration test results for Korean soil deposits. Pure Appl Geophys 170:271–281. https://doi.org/10.1007/s00024-012-0516-2

    Article  Google Scholar 

  • Thokchom S, Rastogi BK, Dogra NN et al (2017) Empirical correlation of SPT blow counts versus shear wave velocity for different types of soils in Dholera, Western India. Nat Hazards 86:1291–1306. https://doi.org/10.1007/s11069-017-2744-3

    Article  Google Scholar 

  • Tsiambaos G, Sabatakakis N (2010) Empirical estimation of shear wave velocity from in situ tests on soil formations in Greece. Bull Eng Geol Env 70:291–297. https://doi.org/10.1007/s10064-010-0324-9

    Article  Google Scholar 

  • Yasar A, Bilgili M, Simsek E (2012) Water demand forecasting based on stepwise multiple nonlinear regression analysis. Arab J Sci Eng 37:2333–2341. https://doi.org/10.1007/s13369-012-0309-z

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Civil Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh

    Mehedi A. Ansary, Anika Tasmiah & M. A. Al Noman

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  1. Mehedi A. Ansary
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  2. Anika Tasmiah
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  3. M. A. Al Noman
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MAA: 45%; AT: 35%; MAAN: 20%.

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Correspondence to Mehedi A. Ansary.

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Ansary, M.A., Tasmiah, A. & Al Noman, M.A. Development of empirical correlations between shear wave velocity and in situ penetration test results for different types of soils in DMDP area, Bangladesh. Arab J Geosci 16, 280 (2023). https://doi.org/10.1007/s12517-023-11342-z

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