Skip to main content
SpringerLink
Log in

Optimization of Gravity Concrete Dams Using the Grasshopper Algorithm (Case Study: Koyna Dam)

  • Original Paper
  • Published:
Geotechnical and Geological Engineering Aims and scope Submit manuscript

Abstract

The aim of this study is to optimize the geometric dimensions of the Koyna concrete weight dam with and without seismic forces using the grasshopper optimizer algorithm (GOA). In the methodology section of this paper, the geometric parameters of the dam are provided as input data to an objective function minimizing the geometric dimensions and concreting volume of the dam body. The present results show that the best model for optimization with the grasshopper algorithm for situations without the effects of seismic forces has a 13.7% reduction in a concrete volume equivalent to 498 cubic meters. The results of the grasshopper algorithm were compared with the results of the particle swarm optimizer (PSO), Gray wolf optimizer (GWO), and LINGO11 algorithms. A comparison of the optimized volume of concrete shows that with the PSO method, volume reductions were: 378 cubic meters 10.4% with the GWO method, 431 cubic meters 11.86% with the LINGO11 process, 82 cubic meters 2.25% with the GOA method, 498 cubic meters 13.7%. The best optimization results were obtained with the effects of seismic forces with a 10.99% reduction in the volume of concrete equal to ~ 400 cubic meters. The results show the superiority of the optimization method of the grasshopper algorithm over other methods. The amount of concrete used in the Koyna dam is 3633 cubic meters, which in the optimized state with LINGO11 method 3551 cubic meters in GWO method 3255, in PSO method 3202, and in GOA method, 3138 cubic meters, which in general, the volume is optimized, respectively 82, 378, 431, and 495 cubic meters.

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

Access this article

Log in via an institution

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

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10

Similar content being viewed by others

Data Availability

Enquiries about data availability should be directed to the authors.

References

  • Afshar A, Bozorg-Haddad O, Marino MA, Adams BJ (2007) Honey Bee Mating Optimization (HBMO) algorithm for optimal reservoir operation. J Franklin Instit 344(5):452–462. https://doi.org/10.1016/j.jfranklin.2006.06.001

    Article  Google Scholar 

  • Anon H (1976) Design of gravity dams. United States Department of the Interior Bureau of -Reclamation (USBR) A Water Resources Technical Press, Colorado

    Google Scholar 

  • Blum C, Roli A (2003) Metaheuristics in combinatorial optimization overview and conceptual comparision. ACM Comput Surv 35(3):268–308. https://doi.org/10.1145/937503.937505

    Article  Google Scholar 

  • Calayir Y, Karaton M (2005) Seismic fracture analysis of concrete gravity dams including dam–reservoir interaction. Comput Struct 83(19–20):1595–1606. https://doi.org/10.1016/j.compstruc.2005.02.003

    Article  Google Scholar 

  • Carmen S, Popa R (2010) Application of honey-bees mating optimization algorithm to pumping station scheduling for water supply. Mech Eng 72(1):77–84

    Google Scholar 

  • Chiti H, Khatibinia M, Akbarpour A, Naseri HR (2016) Reliability–based design optimization of concrete gravity dams using subset simulation. Int J Optim Civ Eng 6:329–348

    Google Scholar 

  • Chopra AK, Chakrabarti P (1972) The earthquake experience at Koyna Dam and stresses in concrete gravity dams. Earthq Eng Struct Dynam 1:151–164. https://doi.org/10.1002/eqe.4290010204

    Article  Google Scholar 

  • Daneshfaraz R, Bagherzadeh M, Esmaeeli R, Norouzi R, Abraham J (2021b) Study of the performance of support vector machine for predicting vertical drop hydraulic parameters in the presence of dual horizontal screens. Water Supply 21(1):217–231

    Article  Google Scholar 

  • Daneshfaraz R, Abam M, Heidarpour M, Abbasi S, Seifollahi M, Abraham J (2022) The impact of cables on local scouring of bridge piers using experimental study and ANN ANFIS algorithms. Water Supply 22(1):1075–1093. https://doi.org/10.2166/ws.2021.215

    Article  Google Scholar 

  • Deepika R, Suribabu CR (2015) Optimal design of gravity dam using differential evolution algorithm. Iran Univ Sci Technol 5(3):255–266

    Google Scholar 

  • Dong J, Zeng W, Lei G, Wu L, Chen H, Wu J, Huang J, Gaiser T, Amit Kumar S (2022) Simulation of dew point temperature in different time scales based on grasshopper algorithm optimized extreme gradient boosting. J Hydrol. https://doi.org/10.1016/j.jhydrol.2022.127452

    Article  Google Scholar 

  • Esat V, Hall MJ (1994) Water resources system optimization using genetic algorithms. In: Proceeding of the first international conference on hydroinformatics. Balkema. Rotterdam. 1, 225–231.

  • Ghodousi H, Oskouhi M (2015) Determination of optimal dimensions of concrete gravity dams using LINGO11 nonlinear modeling. J Civil Eng Urban 5(02):47–52

    Google Scholar 

  • Ghodousi H, Oskouhi M (2016) Optimization of optimal dimensions of concrete gravity dams using Honey Bee Mating (HBMO) model. J Apll Res Irrug Drin (In Persian). https://doi.org/10.22092/ARIDSE.2016.106407

    Article  Google Scholar 

  • Hojjati A, Monadi M, Faridhosseini A, Mohammadi M (2018) Application and comparison of NSGA-II and MOPSO in multi-objective optimization of water resources systems. J Hydrol Hydromech 66(3):323–329

    Article  Google Scholar 

  • Hosseiny SM, Rahmani AI, Derakhshan M, Fatahizadeh R (2021) An intrusion detection system: using a grasshopper algorithm.

  • Iraji H, Mohammadi M, Shakouri B, Meshram SG (2020) Predicting reservoir volume reduction using artificial neural network. Arab J Geosci 13(17):1–13

    Article  Google Scholar 

  • Karami H, Rezaei Ahvanooei A (2021) Estimating discharge coefficient of curved piano key overflows using combination of support vector regression and Grasshopper and Firefly algorithms. Irrig Water Eng 12(2):186–202

    Google Scholar 

  • Kaveh A, Zakian P (2015) Stability based optimum design of concrete gravity dam using CSS, CBO and ECBO algorithms. Iran Univ Sci Technol 5(4):419–431

    Google Scholar 

  • Khatibinia M, Khosravi S (2014) A hybrid approach based on an improved gravitational search algorithm and orthogonal crossover for optimal shape design of concrete gravity dams. Appl Soft Comput 16:223–233. https://doi.org/10.1016/j.asoc.2013.12.008

    Article  Google Scholar 

  • Liang H, Jia H, Xing Z, Ma J, Peng X (2019) Modified grasshopper algorithm based multilevel thresholding for color image segmentation. IEEE Access 7:11258. https://doi.org/10.1109/ACCESS.2019.2891673

    Article  Google Scholar 

  • Masoumi F, Salimi N, Zafari N (2020) Evaluation of Grasshopper optimization algorithm for optimal operation of surface water reservoirs with reliability constraints. Iran J Irrig Drain 14(2):579–592

    Google Scholar 

  • Masoumi F, Esfandmaz S, Zafari N (2021) Investigate the applicability of gray Wolf optimization algorithm in determining the optimal dimensions of concrete dams. Dam Hydroelectr Powerplant 7(27):79–89

    Google Scholar 

  • Memarian T, Shahbazi Y (2017) Integrated metaheuristic differential evolution optimization algorithm and Pseudo static analysis of concrete gravity dam. Civil Eng J 3:617–625

    Article  Google Scholar 

  • Nasri D, Mokeddem D (2022) Optimization of multi-objective problems using an efficient Levy flight grasshopper algorithm. Int J High Perform Syst Archit 11(1):26. https://doi.org/10.1504/IJHPSA.2022.10045989

    Article  Google Scholar 

  • Norouzi R, Daneshfaraz R, Ghaderi A (2019) Investigation of discharge coefficient of trapezoidal labyrinth weirs using artificial neural networks and support vector machines. Appl Water Sci 9(7):1–10. https://doi.org/10.1007/s13201-019-1026-5

    Article  Google Scholar 

  • Norouzi R, Salmasi F, Arvanaghi H (2020) Uplift pressure and hydraulic gradient in Sabalan Dam. Appl Water Sci 10(5):1–12

    Article  Google Scholar 

  • Osman HM, Saleem Alsawaf R, Yaseen Hammo A (2022). Surv Grasshopp Algorithm. https://doi.org/10.47577/technium.v4i3.6344

    Article  Google Scholar 

  • Rampal A, Halder P, Manna B, Sharma KG (2020) Static and coupled hydro-mechanical analyses of concrete gravity dam resting on jointed rock foundation. Geotech Geol Eng 38:4111–4127

    Article  Google Scholar 

  • Salmasi F (2011) Design of gravity dam by genetic algorithms. Int J Civ Environ Eng 3:187–192

    Google Scholar 

  • Saremi S, Mirjalili S, Lewis A (2017) Grasshopper optimisation algorithm: theory and application. J Adv Eng Softw. https://doi.org/10.1016/j.advengsoft.2017.01.004

    Article  Google Scholar 

  • Seifollahi M, Lotfollahi Yghin MA, Kalateh F, Daneshfaraz R, Abbasi S, Abraham J (2021a) Estimation of the local scour from a cylindrical bridge pier using a compilation Wavelet model and artificial neural network. J Hydraul Struct 3(7):1–22. https://doi.org/10.22055/JHS.2021.38300.1187

    Article  Google Scholar 

  • Seifollahi M, Abbasi S, Lotfollahi-yaghin MA, Daneshfaraz R, Kalateh F, Fahimi-Farzam M (2021b) Investigation of the performance of soft computing methods in estimating the crest settlement of rockfill dam with the central core. JWSS - J Water Soil Sci. (Accepted to online publish).

  • Seifollahi M, Abbasi S, Kalateh F (2021c) Prediction of settlement caused by earth dam crest earthquake using hybrid model of wavelet and artificial neural network. In: 12th International Congress on Civil Engineering Conference Ferdowsi University of Mashhad, 12–14 July 2021c, Mashhad, Iran.

  • Shakouri B, Mohammadi M (2020) Evaluation of penetration depth for cutoff walls in the core of earth dams. J Geotech Geol Eng 38(1):151–167

    Article  Google Scholar 

  • Utama DM, Baroto T, Setiya Widodo D (2020) Energy-efficient flow shop scheduling using hybrid Grasshopper algorithm optimization. J Ilmiah Teknik Ind 19(1):30–38. https://doi.org/10.23917/jiti.v19i1.10079

    Article  Google Scholar 

  • Zhang M, Li M, Shen Y, Zhang J (2019) Isogeometric shape optimization of high RCC gravity dams with functionally graded partition structure considering hydraulic fracturing. Eng Struct 179:341–352. https://doi.org/10.1016/j.engstruct.2018.11.005

    Article  Google Scholar 

Download references

Funding

The authors have not disclosed any funding.

Author information

Authors and Affiliations

  1. University of Tabriz, Tabriz, Iran

    Mehran Seifollahi

  2. University of Mohaghegh Ardabili, Ardabil, Iran

    Salim Abbasi

  3. School of Engineering, University of St. Thomas, St. Paul, MN, USA

    John Abraham

  4. Department Water Engineering, Faculty of Agriculture, University of Tabriz, Tabriz, Iran

    Reza Norouzi

  5. Department of Civil Engineering, University of Maragheh, Maragheh, Iran

    Rasoul Daneshfaraz

  6. Department of Water Resources Engineering, Faculty of Civil Engineering, University of Tabriz, Tabriz, Iran

    Mohammad-Ali Lotfollahi-Yaghin

  7. Department of Civil Engineering, Faculty of Engineering, University of Dokuz Eylül, 35160, Buca-İzmir, Turkey

    Ahmet Alkan

Authors
  1. Mehran Seifollahi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Salim Abbasi
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. John Abraham
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Reza Norouzi
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Rasoul Daneshfaraz
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Mohammad-Ali Lotfollahi-Yaghin
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Ahmet Alkan
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Rasoul Daneshfaraz.

Ethics declarations

Conflict of interest

The authors have not disclosed any competing interests.

Additional information

Publisher's Note

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

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Seifollahi, M., Abbasi, S., Abraham, J. et al. Optimization of Gravity Concrete Dams Using the Grasshopper Algorithm (Case Study: Koyna Dam). Geotech Geol Eng 40, 5481–5496 (2022). https://doi.org/10.1007/s10706-022-02227-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10706-022-02227-1

Keywords

Search

Navigation