Skip to main content
Log in

Solutions to estimate the excess PWP, settlement and volume of draining water after slurry deposition. Part I: impervious base

  • Original Article
  • Published:
Environmental Earth Sciences Aims and scope Submit manuscript

Abstract

In coastal engineering, the storage of dredged sludge needs the construction of containment structures. In mining engineering, the surface disposal of tailings slurry requires the construction of tailings dam. In both cases, one needs to estimate the excess pore water pressure (PWP), draining water and settlement of the slurry during and after the deposition. An analytical solution presented by the authors based on a model proposed by Gibson in 1958 can be used to evaluate the excess PWP during slurry deposition. The equation given by Gibson in 1958 for assessing the excess PWP after the end of slurry deposition cannot be used because it contains an error. In addition, there is no existing solution to estimate the settlement and volume of draining water after the end of slurry deposition. In this paper, a new solution based on the Gibson’s governing equation is proposed to evaluate the excess PWP, settlement and volume of draining water after the end of slurry deposition on an impervious base. The proposed solution is partly validated by numerical and laboratory test results. The solution for estimating the excess PWP, settlement and volume of draining water after the end of slurry deposition on a pervious base is presented in a companion paper.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16

Similar content being viewed by others

References

  • Agapito LA, Bareither CA (2018) Application of a one-dimensional large-strain consolidation model to a full-scale tailings storage facility. Miner Eng 119:38–48

    Google Scholar 

  • Agurto-Detzel H, Bianchi M, Assumpção M, Schimmel M, Collaço B, Ciardelli C, Barbosa JR, Calhau J (2016) The tailings dam failure of 5 November 2015 in SE Brazil and its preceding seismic sequence. Geophys Res Lett 43:4929–4936

    Google Scholar 

  • Ahmed SI, Siddiqua S (2014) A review on consolidation behavior of tailings. Int J Geotech Eng 8:102–111

    Google Scholar 

  • Alam R, Shang J-Q, Islam S (2017) Electrophoresis and its applications in oil sand tailings management. Int J Miner Process 161:41–49

    Google Scholar 

  • Asmar NH (2004) Partial differential equations and boundary value problems. Pearson Education, Upper Saddle River

    Google Scholar 

  • ASTM International (2011) Standard Test Methods for One-Dimensional Consolidation Properties of Soils Using Incremental Loading. Standard ASTM D2435/D2435M-11, West Conshohocken

  • Aubertin M, McKenna G (2016) Tailings disposal challenges and prospects for oil sands mining operation. Geo-Chicago, Chicago, USA

  • Aubertin M, Bussiere B, Chapuis RP (1996) Hydraulic conductivity of homogenized tailings from hard rock mines. Can Geotech J 33:470–482

    Google Scholar 

  • Been K, Sills GC (1981) Self-weight consolidation of soft soils: an experimental and theoretical study. Geotechnique 31:519–535

    Google Scholar 

  • Beier N, Wilson W, Dunmola A, Sego D (2013) Impact of flocculation-based dewatering on the shear strength of oil sands fine tailings. Can Geotech J 50:1001–1007

    Google Scholar 

  • Berilgen SA, Berilgen MM, Ozaydin KI (2006) Assessment of consolidation behavior of Golden Horn marine dredged material. Mar Georesour Geotechnol 24:1–16

    Google Scholar 

  • Bolduc FL, Aubertin M (2014) Numerical investigation of the influence of waste rock inclusions on tailings consolidation. Can Geotech J 51:1021–1032

    Google Scholar 

  • Bussière B (2007) Colloquium 2004: hydrogeotechnical properties of hard rock tailings from metal mines and emerging geoenvironmental disposal approaches. Can Geotech J 44:1019–1052

    Google Scholar 

  • Carrier WD III, Bromwell LG, Somogyi F (1983) Design capacity of slurried mineral waste ponds. J Geotech Eng 109:699–716

    Google Scholar 

  • Caughill DL, Morgenstern NR, Scott JD (1993) Geotechnics of nonsegregating oil sand tailings. Can Geotech J 30:801–811

    Google Scholar 

  • da Silva F (2011) Reducing risks to tailing storage facilities through in-line flocculant addition. In: Proceedings of GeoFrontiers 2011: Advances in geotechnical engineering, Dallas, Texas, 13–16 March 2011. American Society of Civil Engineers, Reston, pp 2937–2946

  • El Mkadmi NEM, Aubertin M, Li L (2014) Effect of drainage and sequential filling on the behavior of backfill in mine stopes. Can Geotech J 51:1–15

    Google Scholar 

  • Energy Resources Conservation Board (2009) Directive 074: tailings performance criteria and requirements for oil sands mining schemes. Calgary

  • Essayad K (2015) Development of experimental protocols for the characterization of saturated and unsaturated tailings consolidation from compression tests in columns (in French). Master Thesis, École Polytechnique de Montréal, Montréal, Canada

  • Fahey M, Helinski M, Fourie A (2010) Consolidation in accreting sediments: Gibson’s solution applied to backfilling of mine stopes. Géotechnique 60:877–882

    Google Scholar 

  • Farkish A, Fall M (2014) Consolidation and hydraulic conductivity of oil sand mature fine tailings dewatered by using super absorbent polymer. J Geotech Geoenviron Eng 140:06014006

    Google Scholar 

  • Ganesalingam D, Sivakugan N, Ameratunga J (2012) Influence of settling behavior of soil particles on the consolidation properties of dredged clay sediment. J Waterw Port Coast 139:295–303

    Google Scholar 

  • Garcia LC, Ribeiro DB, Roque FO, Ochoa-Quintero JM, Laurance WF (2016) Brazil’s worst mining disaster: corporations must be compelled to pay the actual environmental costs. Ecol Appl 27:5–9

    Google Scholar 

  • GEO-SLOPE (2008) Stress-deformation modeling with SIGMA/W, 2007. Manual, 3rd edn. GEO-SLOPE International Ltd, Calgary

    Google Scholar 

  • Gibson RE (1958) The progress of consolidation in a clay layer increasing in thickness with time. Géotechnique 8:171–182

    Google Scholar 

  • He J, Chu J, Tan SK, Vu TT, Lam KP (2017) Sedimentation behavior of flocculant-treated soil slurry. Mar Georesour Geotechnol 35:593–602

    Google Scholar 

  • Imai G (1979) Development of a new consolidation test procedure using seepage force. Soils Found 19:45–60

    Google Scholar 

  • James M (2009) The use of waste rock inclusions to control the effects of liquefaction in tailings impoundments. PhD Dissertation, Ecole Polytechnique de Montreal, Montreal, Canada

  • Jeeravipoolvarn S, Chalaturnyk RJ, Scott JD (2009a) Sedimentation–consolidation modeling with an interaction coefficient. Comput Geotech 36:751–761

    Google Scholar 

  • Jeeravipoolvarn S, Scott JD, Chalaturnyk RJ (2009b) 10 m standpipe tests on oil sands tailings: long-term experimental results and prediction. Can Geotech J 46:875–888

    Google Scholar 

  • Khaled SM, Azam S (2014) Depositional characteristics of uranium tailings from Saskatchewan, Canada. Environ Earth Sci 72:4393–4400

    Google Scholar 

  • Li L (2013) Beneficial experience from teaching and education to research and development. Creat Educ 3:148–153

    Google Scholar 

  • Li L, Alvarez IC, Aubertin JD (2013) Self-weight consolidation of a slurried deposition: tests and interpretation. Int J Geotech Eng 7:205–213

    Google Scholar 

  • Mathworks (2011) MATLAB—The language of technical computing. http://www.mathworks.com/products/matlab/. Accessed 16 January 2018

  • Ozcan NT, Ulusay R, Isik NS (2013) A study on geotechnical characterization and stability of downstream slope of a tailings dam to improve its storage capacity (Turkey). Environ Earth Sci 69:1871–1890

    Google Scholar 

  • Pane V, Schiffman RL (1985) A note on sedimentation and consolidation. Géotechnique 35:69–72

    Google Scholar 

  • Pedroni L (2011) Étude expérimentale et numérique de la sédimentation et de la consolidation des boues de traitement des eaux acides. Ph.D. Dissertation, École Polytechnique de Montréal, Montreal, Canada

  • Pedroni L, Aubertin M (2008) Evaluation of sludge consolidation from hydraulic gradient tests conducted in large size columns. In: Proceedings of the 61st Canadian Geotechnical Conference, Edmonton, Canada

  • Priscu C (1999) Behavior of mine tailings dams under high tailings deposition rates. Ph.D. Dissertation, McGill University, Montreal, Canada

  • Qiu YX, Sego DC (2001) Laboratory properties of mine tailings. Can Geotech J 38:183–190

    Google Scholar 

  • Queiroz HM, Nóbrega GN, Ferreira TO, Almeida LS, Romero TB, Santaella ST, Bernardino AF, Otero XL (2018) The Samarco mine tailing disaster: a possible time-bomb for heavy metals contamination? Sci Total Environ 637:498–506

    Google Scholar 

  • Saleh-Mbemba F, Aubertin M (2018) Characterization of self-weight consolidation of fine-grained mine tailings using moisture sensors. Geotech Test J 41:543–554

    Google Scholar 

  • Scott JD, Jeeravipoolvarn S, Chalaturnyk RJ (2008) Tests for wide range of compressibility and hydraulic conductivity of flocculated tailings. In: Proceedings of the 61st Canadian geotechnical conference. Edmonton, AB, Canada, 21–24 September 2008, pp 738–745

  • Seneviratne NH, Fahey M, Newson TA, Fujiyasu Y (1996) Numerical modelling of consolidation and evaporation of slurried mine tailings. Int J Numer Anal Methods Geomech 20:647–671

    Google Scholar 

  • Shahsavari M, Grabinsky M (2014) Cemented paste backfill consolidation with deposition-dependent boundary conditions. In: Proceedings of the 67th Canadian geotechnical conference, Regina, Canada, 28 September-1, October 2014

  • Shahsavari M, Grabinsky M (2015) Mine backfill pore water pressure dissipation: numerical predictions and field measurements. In: Proceedings of the 68th Canadian geotechnical conference, Quebec City, Canada, 21–23 September 2015

  • Stone KJL, Randolph MF, Sales AA (1994) Evaluation of consolidation behavior of mine tailings. J Geotech Eng 120:473–490

    Google Scholar 

  • Terzaghi K (1943) Theoretical soil Mechanics. Wiley, New York

    Google Scholar 

  • Wei ZA, Yin GZ, Wan L, Li GZ (2016) A case study on a geotechnical investigation of drainage methods for heightening a tailings dam. Environ Earth Sci 75:106

    Google Scholar 

  • Wels C, Robertson AM (2003) Conceptual model for estimating water recovery in tailings impoundments. In: Proceedings of the 10th International Conference of Tailings and Mine Waste, Vail, CO. Colorado State University, pp 87–94

  • Wong RC, Mills BN, Liu YB (2008) Mechanistic model for one-dimensional consolidation behavior of nonsegregating oil sands tailings. J Geotech Geoenviron Eng 134:195–202

    Google Scholar 

  • Xu GZ, Gao YF, Hong ZS, Ding JW (2012) Sedimentation behavior of four dredged slurries in China. Mar Georesour Geotechnol 30:143–156

    Google Scholar 

  • Zhang N, Zhu W, He HT, Lv YY, Wang SW (2017) Experimental study on settling velocity of soil particles in dredged slurry. Mar Georesour Geotechnol 35:747–757

    Google Scholar 

  • Zheng J, Li L, Mbonimpa M, Pabst T (2018a) An analytical solution of Gibson’s model for estimating the pore water pressures in accreting deposition of slurried material under one-dimensional self-weight consolidation. Part I: pervious Base. Ind Geotech J 48:72–83

    Google Scholar 

  • Zheng J, Li L, Mbonimpa M, Pabst T (2018b) An analytical solution of Gibson’s model for estimating pore water pressures in accreting deposition of slurried material under one-dimensional self-weight consolidation. Part II: impervious base. Ind Geotech J 48:188–195

    Google Scholar 

Download references

Acknowledgements

The authors would like to acknowledge the financial support from the Natural Sciences and Engineering Research Council of Canada (NSERC 402318), Institut de recherche Rovert-Sauvé en santé et en sécurité du travail (IRSST 2013-0029), Fonds de recherche du Québec—Nature et Technologies (FRQNT 2015-MI-191676), Mitacs Elevate Postdoctoral Fellowship (IT12572), and industrial partners of the Research Institute on Mines and the Environment (RIME UQAT-Polytechnique; http://rime-irme.ca/).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jian Zheng.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Appendices

Appendix 1: Derivation process for the proposed solution (Eq. 6)

Equation (4) has the same form as the heat conduction equation. It can be solved by separating the equation variables, a method commonly used to solve heat conduction problems (Asmar 2004). The excess PWP at moment t1 (= t − t0) at an elevation x can then be expressed by two new functions as follows:

$$u_{1} (x,t_{1} ) = X(x)T(t_{1} ),$$
(14)

where X(x) is a function of the variable x, T(t1) is a function of the variable t1.

Substituting Eq. (14) into Eq. (4) yields

$$\frac{1}{X(x)}\frac{{{\text{d}}^{2} X}}{{{\text{d}}x^{2} }} = - \lambda = \frac{1}{{c_{\text{v}} T(t_{1} )}}\frac{{{\text{d}}T}}{{{\text{d}}t_{1} }},$$
(15)

where λ is a constant (λ ≠ 0).

Considering the former part of Eq. (15) leads to an expression as follows:

$$\frac{{{\text{d}}^{2} X}}{{{\text{d}}x^{2} }} + \lambda X = 0.$$
(16)

Solving Eq. (16) leads to a general solution expressed as follows:

$$X(x) = C_{1} \sin \left( {\sqrt \lambda x} \right) + C_{2} \cos \left( {\sqrt \lambda x} \right).$$
(17)

The boundary conditions u1 = 0 at x = H and du1/dx = 0 at x = 0 can be met by imposing X = 0 at x = H and dX/dx = 0 at x = 0. Applying these boundary conditions to Eq. (17) leads to the following expression for the eigenvalue λ

$$\lambda = \left[ {\frac{(2\alpha - 1)\pi }{2H}} \right]^{2} \quad \left( {\alpha \, = \, 1,{ 2}, \ldots , \, \infty } \right)$$
(18)

The eigenfunction of X(x) to Eq. (17) can be expressed as:

$$X_{\alpha } (x) = A_{\alpha } \cos \left[ {\frac{(2\alpha - 1)\pi }{2H}x} \right],$$
(19)

where Aα is a series of constant.

Considering the latter part of Eq. (15) leads to an expression as follows:

$$\frac{{{\text{d}}T(t_{1} )}}{{{\text{d}}t_{1} }} + \lambda c_{\text{v}} T(t_{1} ) = 0.$$
(20)

By performing the same processing of X(x), one can obtain the characteristic function of T(t1) to Eq. (20) expressed as follows:

$$T_{\alpha } (t_{1} ) = B_{\alpha } \exp \left\{ { - c_{\text{v}} \left[ {\frac{(2\alpha - 1)\pi }{2H}} \right]^{2} t_{1} } \right\},$$
(21)

where Bα is a series of constant.

The excess PWP can then be expressed as follows:

$$u_{1} (x,t_{1} ) = \sum\limits_{n = 1}^{\infty } {X_{\alpha } (x)T_{\alpha } (t_{1} ) = } \sum\limits_{\alpha = 1}^{\infty } {C_{\alpha } \exp \left\{ { - c_{\text{v}} \left[ {\frac{(2\alpha - 1)\pi }{2H}} \right]^{2} t_{1} } \right\} \times \cos \left[ {\frac{(2\alpha - 1)\pi }{2H}x} \right]} ,$$
(22)

where Cα is a series of constant.

Considering the initial condition (i.e. at t1 = 0) of the post-deposition process leads to the following expression:

$$u_{0} (x,t_{0} ) = u_{1} (x,0) = \sum\limits_{\alpha = 1}^{\infty } {\left\{ {C_{\alpha } \cos \left[ {\frac{(2\alpha - 1)\pi }{2H}x} \right]} \right\}} ,$$
(23)

where u0 (x, t0) is given by Eq. (3).

Equation (23) can be re-written as follows:

$$\int\limits_{0}^{H} {u_{0} (x,t_{0} ) \times \cos \frac{(2\beta - 1)\pi x}{2H}{\text{d}}x} = \int\limits_{0}^{H} {\sum\limits_{\alpha = 1}^{\infty } {\left\{ {C_{\alpha } \left[ {\cos \frac{(2\alpha - 1)\pi x}{2H}} \right]} \right\}} } \times \cos \frac{(2\beta - 1)\pi x}{2H}{\text{d}}x,$$
(24)

where β = 1, 2, …, ∞.

The orthogonality of trigonometric function stipulates that the right side of Eq. (24) becomes zero for α ≠ β and can be rewritten as follows for α = β (Asmar 2004)

$$\int\limits_{0}^{H} {u_{0} (x,t_{0} ) \times \cos \frac{(2\beta - 1)\pi x}{2H}{\text{d}}x} = \sum\limits_{\alpha = 1}^{\infty } {C_{\alpha } } \int\limits_{0}^{H} {\left( {\cos \frac{(2\beta - 1)\pi x}{2H}} \right)^{2} {\text{d}}x = C_{\alpha } \times \frac{H}{2}} .$$
(25)

The value of Cα can be calculated as

$$C_{\alpha } = \frac{2}{H}\int\limits_{0}^{H} {u_{0} (x,t_{0} ) \times \cos \frac{(2\alpha - 1)\pi x}{2H}{\text{d}}x.}$$
(26)

Substituting Eq. (26) into Eq. (22) yields

$$u_{1} (x,t_{1} ) = \frac{2}{H}\sum\limits_{\alpha = 1}^{\infty } {\exp \left\{ { - c_{\text{v}} t_{1} \left[ {\frac{(2\alpha - 1)\pi }{2H}} \right]^{2} } \right\}} \times \left[ {\cos \frac{(2\alpha - 1)\pi x}{2H}} \right]\int\limits_{0}^{H} {u_{0} (x,t_{0} ) \times \left[ {\cos \frac{(2\alpha - 1)\pi x}{2H}} \right]} {\text{d}}x.$$
(27)

Appendix 2: MATLAB program for solving Eq. (6)

A MATLAB program is given to solve Eq. (6) and output the excess PWP at an elevation x at a given time t1 in the slurried material. A sample calculation is performed by considering H = 8 m, γsat = 20 kN/m3, γw = 9.8 kN/m3, m = 0.5 m/h, cv = 1 m2/h, t0 = 16 h, and t1 = 10 h.

figure a

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zheng, J., Li, L. & Li, YC. Solutions to estimate the excess PWP, settlement and volume of draining water after slurry deposition. Part I: impervious base. Environ Earth Sci 79, 124 (2020). https://doi.org/10.1007/s12665-020-8876-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s12665-020-8876-x

Keywords

Navigation