An Approach for Grading of Soil Corrosiveness: A Case Study in Vicinity of Ring Road-Kathmandu

Abstract:

Corrosion of the outer surface of underlying Zn-coated or carbon steel pipes in the soil becomes complex and intricate due the insufficient information about the electrochemical interactions between discrete pairs of all corrosive soil factors. To overcome such corrosive problems of the underlying metal pipes in the soil, an ongoing study has suggested a stochastic approach for a close analysis of the corrosive grading of each soil specimen, sampled from the vicinity of Ring Road (RR) of Kathmandu, Nepal, towards the pipes with modifying the previously utilized AWWA (American Water Works Association), ASTM and NACE methods. Four corrosive grades (CGs) of all the soil specimens were categorized based on their quantitatively calculated soil factors in the stochastic approach of the novel probabilistic modeling (NPM) method. Then, they grouped supplementary ten corrosive sub-grades (CSGs) taking the sum of the cumulative point (CuP) of every soil factor. An indeterminate examination of 10 soil specimens was accomplished to categorize their CSGs, which would be a more precise method to draw a corrosive soil mapping of the study areas. The outcomes of such analysis under the NPM method imparted that about 90% of the sampled soil specimens of the RR areas allied only to five specific CSGs belonging to two CGs, i.e., G-RAR and G-MID.

• Periodical: Key Engineering Materials (Volume 959)
• Pages: 171-184
• DOI: https://doi.org/10.4028/p-FGjv6O
• Online since: October 2023
• Authors: Kumar Prasad Dahal, Nootan Prasad Bhattarai, Jagadeesh Bhattarai*
• Keywords: Collective Algorithm, Probabilistic Modeling, Sub-Grading, Underlying Pipe Corrosion, Zinc-Coated Steel

References

[1] KUKL, Annual Report (14th Anniversary), Kathmandu Upatyaka Khanepani Limited, Kathmandu, Nepal, 2022.

[2] R. Li, Y. Lai, C. Feng, R. Dev, Y. Wang, Y. Hao, Diarrhea in under five-year-old children in Nepal: A spatiotemporal analysis based on demographic and health survey data, Int. J. Environ. Res. Public Health 17(6) (2020) 2140

DOI: 10.3390/ijerph17062140

[3] I. Bertuccio, M.V. Biezma Moraleda, Risk assessment of corrosion in oil and gas pipelines using fuzzy logic, Corros. Eng. Sci. Technol. 47(7) (2012) 553-558

DOI: 10.1179/1743278212Y.0000000028

[4] K.P. Dahal, S.K. Regmi, J. Bhattarai, A novel approach for proximate analysis of soil corrosion condition in Imadol-Sanagaun and Kantipur Colony areas of Nepal, Solid State Phenom. 338 (2022) 17-27

DOI: 10.4028/p-u7uv9u

[5] M. Baker Jr., R.R. Fessler, Pipeline Corrosion, in: Final Report, Integrity Management Program Under Delivery Order DTRS56-02-D-70036, Biztek Consulting, Inc., USA, 2008, p.78.

[6] S. Khakzad, M. Yang, A. Lohi, N. Khakzad, Probabilistic failure assessment of oil pipelines due to internal corrosion, Process Saf. Prog. (2022) 1‐11

DOI: 10.1002/prs.12364

[7] K. Zakikhani, F. Nasiri, T. Zayed, A failure prediction model for corrosion in gas transmission pipelines, in: Proc. Inst. Mech. Eng., Part O: J. Risk Reliab. 235(3) (2020) 374-390

DOI: 10.1177/1748006X20976802

[8] K.P. Dahal, Investigation of Soil Corrosion to Buried-Metallic Materials of Kathmandu Valley, Nepal, Ph.D. Thesis submitted to Institute of Science and Technology, Tribhuvan University, Kathmandu, Nepal, 2022, p.135.

DOI: 10.52547/jad.2022.4.1.4

[9] P.P. Bhandari, K.P. Dahal, J. Bhattarai, (2013). The corrosivity of soil collected from Araniko Highway and Sanothimi areas of Bhaktapur, J. Inst. Sci. Technol. 18(1) (2013) 71-77.

[10] R. Singh, Pipeline Integrity Handbook: Risk Management and Evaluation, Elsevier Science, UK, 2017.

[11] Z. May, M.K. Alam, N.A. Nayan, Recent advances in nondestructive method and assessment of corrosion undercoating in carbon–steel pipelines, Sensors 22(17) (2022) 6654

DOI: 10.3390/s22176654

[12] K.P. Dahal, R.K. Karki, J. Bhattarai, Evaluation of corrosivity of soil collected from the central part of Kathmandu Metropolis (Nepal) to water supply metallic pipes, Asian J. Chem. 30(7) 2018) 1525-1530

DOI: 10.14233/ajchem.2018.21211

[13] J. Bhattarai, Study on the corrosive nature of soil towards the buried structures, Scientific World, 11(11) (2013) 43-47

DOI: 10.3126/sw.v11i11.8551

[14] ASTM G200-20, Standard Test Method for Measurement of Oxidation-Reduction Potential (ORP) of Soil, Vol. 03.03, ASTM International, West Conshohocken, USA, 2020, p.5

DOI: 10.1520/G0200-20

[15] ASTM G187-18, Standard Test Method for Measurement of Soil Resistivity Using the Two-Electrode Soil Box Method, Vol. 03.02, ASTM International, West Conshohocken, USA, 2018, p.6

DOI: 10.1520/G0187-18

[16] ASTM D4959-16, Standard Test Method for Determination of Water (Moisture) Content of Soil by Direct Heating, Vol. 04.08, ASTM International, West Conshohocken, USA, 2016, p.6

DOI: 10.1520/D4959-16

[17] ANSI/NACE SP0502-2010, Pipeline External Corrosion Direct Assessment Methodology, American National Standards Institute & NACE International, Houston, Texas, USA, 2010, p.54.

[18] AASHTO T 290-95, Standard Method of Test for Determining Water-soluble Sulfate Ion Content in Soil, American Association of State Highway and Transportation Officials. American Association of State and Highway Transportation Officials, Washington, DC, USA, 2020, p.10.

DOI: 10.4135/9781483346526.n55

[19] AASHTO T 267-86, Standard Method of Test for Determination of Organic Content in Soils by Loss of Ignition, American Association of State and Highway Transportation Officials, Washington, DC, USA, 2018, p.4

DOI: 10.17226/22921

[20] K.H. Logan, S.P. Ewing, I.A. Denison, Soil corrosion testing, in: F. Speller (Ed.), Sym. Corros. Test. Proc., ASTM International, West Conshohocken, USA, 1937, pp.95-128

DOI: 10.1520/STP47836S

[21] S.K. Regmi, K.P. Dahal, J. Bhattarai, Soil corrosivity to the buried-pipes used in Lalitpur, Kathmandu Valley, Nepal, Nepal J. Envir. Sci. 3(1) (2015) 15-20

DOI: 10.3126/njes.v3i0.22730

[22] Y.R. Dhakal, K.P. Dahal, J. Bhattarai, Investigation on the soil corrosivity towards the buried water supply pipelines in Kamerotar Town Planning areas of Bhaktapur, Nepal, Bibechana 10 (2014) 82-91

DOI: 10.3126/bibechana.v10i0.8454

[23] M. Gautam, J. Bhattarai, Study on the soil corrosivity towards the buried structures in soil environment of Tanglaphant-Tribhuvan University Campus-Balkhu areas of Kirtipur, Nepal J. Sci. Technol. 14(2) (2013) 65-72

DOI: 10.3126/njst.v14i2.10417

[24] A. Poudel, K.P. Dahal, D. KC, J. Bhattarai, A classification approach for corrosion rating of soil to buried water pipelines: a case study in Budhanilkantha-Maharajganj Roadway areas of Nepal, World J. Appl. Chem. 5(3) (2020) 47-56

DOI: 10.11648/j.wjac.20200503.12

[25] ASTM D512-12, Standard Test Methods for Chloride Ion In Water (Silver Nitrate Titration), Vol. 11.01, ASTM International, West Conshohocken, USA, 2012, pp.15-21

DOI: 10.1520/D0512-12

[26] NACE SP01569, Control of External Corrosion on Underground or Submerged Metallic Piping Systems, NACE International, Houston, Texas, USA, 2013, p.60.

[27] M. Romanoff, Exterior corrosion of cast‐iron pipe, AWWA J., 56(9) (1964) 1129-1143

DOI: 10.1002/j.1551-8833.1964.tb01314.x

[28] R.W. Bonds, L.M. Barnard, A.M. Horton, G.L. Oliver, Corrosion and corrosion control of iron pipe: 75 years of research, AWWA J. 97(6) (2005) 88-98

DOI: 10.1002/j.1551-8833.2005.tb10915.x

[29] H. Najjaran, R. Sadiq, B. Rajani, Modeling pipe deterioration using soil properties- an application of Fuzzy Logic Expert system, Pipeline Eng. Constr. (2004) 1-10

DOI: 10.1061/40745(146)73

[30] R. Sadiq, B. Rajani, Y. Kleiner, Fuzzy-based method to evaluate soil corrosivity for prediction of water main deterioration, J. Infrastr. Syst. 10(4) (2004) 149-156

DOI: 10.1061/(ASCE)1076-0342(2004)10:4(149)

[31] J. Bhattarai, D. Paudyal, K.P. Dahal, Study on the soil corrosivity towards the buried-metallic pipes in Kathmandu and Chitwan Valley of Nepal, in: Proc. 17th Asian-Pacific Corros. Contr. Conf., Paper No. 17039, 27-30 January 2016, IIT Bombay, Mumbai, India, 2016, p.12. https://www.researchgate.net/publication/293178472

DOI: 10.3126/njes.v3i0.22730

[32] M. Yazdi, F. Khan, R. Abbassi, Microbiologically influenced corrosion (MIC) management using Bayesian inference, Ocean Eng. 226 (2021) 108852

DOI: 10.1016/j.oceaneng.2021.108852

[33] M.V. Biezma, D. Agudo, G.A. Barron, Fuzzy logic method: predicting pipeline external corrosion rate, Int. J. Pressure Vessels Piping 163 (2018) 55-62

DOI: 10.1016/j.ijpvp.2018.05.001

[34] E. Saidi, B. Anvaripour, F. Jaderi, N. Nabhani, Fuzzy risk modeling of process operations in the oil and gas refineries, J. Loss Prev. Process Ind. 30(1) (2014) 63-73

DOI: 10.1016/j.jlp.2014.04.002

[35] N. Idusuyi, O.J. Samuel, T.T. Olugasa, O.O. Ajide, R. Abu, Corrosion modelling using convolutional neural networks: a brief overview, J. Bio- Tribo- Corros. 8 (2022) 72

DOI: 10.1007/s40735-022-00671-3

[36] B.T. Bastian, N. Jaspreeth, S.K. Ranjith, C.V. Jiji, Visual inspection and characterization of external corrosion in pipelines using deep neural network, NDT and E Int. 107 (2019) 102134

DOI: 10.1016/j.ndteint.2019.102134

[37] J. Szymenderski, W. Machczynski, K. Budnik, Modeling effects of stochastic stray currents from DC traction on corrosion hazard of buried pipelines, Energies 12(23) (2019) 4570

DOI: 10.3390/en12234570

[38] C. Taylor, C. (2015). Corrosion informatics: an integrated approach to modelling corrosion, Corros. Eng. Sci. Technol. 50(7) (2015) 490-508

DOI: 10.1179/1743278215Y.0000000012

[39] J.C. Velazquez, E. Hernandez-Sanchez, G. Teran, S. Capula-Colindres, M. Diaz-Cruz, A. Cervantes-Tobón, Probabilistic and statistical techniques to study the impact of localized corrosion defects in oil and gas pipelines: a review, Metals 12(4) (2022) 576

DOI: 10.3390/met12040576

[40] K.P. Dahal, J.N. Timilsena, M. Gautam, J. Bhattarai, Investigation on probabilistic model for corrosion failure level of buried pipelines in Kirtipur urban areas (Nepal), J. Failure Anal. Prev. 21(3) (2021) 914-926

DOI: 10.1007/s11668-021-01138-2

[41] V. Aryai, H. Baji, M. Mahmoodian, C.Q. Li, Time-dependent finite element reliability assessment of cast-iron water pipes subjected to spatio-temporal correlated corrosion process, Reliab. Eng. Syst. Saf. 197 (2020) 106802

DOI: 10.1016/j.ress.2020.106802

[42] S. Hassan, J. Wang, C. Kontovas, M. Bashir, An assessment of causes and failure likelihood of cross-country pipelines under uncertainty using Bayesian networks, Reliab. Eng. Syst. Saf. 218 (2022) 108171

DOI: 10.1016/j.ress.2021.108171

[43] AASHTO T291, Standard Method of Test for Determining Water-soluble Chloride Ion Content in Soil, Washington, American Association of State Highway and Transportation Officials, DC, USA, 2022, p.12. https://standards.globalspec.com/std/14554274/t-291

[44] ASTM G51-18, Standard Test Method for Measuring pH of Soil for Use in Corrosion Testing, Vol. 03.02, ASTM International, West Conshohocken, USA, 2018, p.4

DOI: 10.1520/G0051-18

[45] B.F. Tano, C.Y. Brou, E.R. Dossou-Yovo, K. Saito, K. Futakuchi, M.C.S. Wopereis, O. Husson, Spatial and temporal variability of soil redox potential, pH and electrical conductivity across a toposequence in the Savanna of West Africa, Agronomy 10(11) (2020) 1787

DOI: 10.3390/agronomy10111787

[46] S.K. Regmi, K.P. Dahal, J. Bhattarai, A proximate analysis of soil corrosivity to water pipelines in the Manohara Town Planning area of Kathmandu Valley using a probabilistic approach, IOP Conf. Ser.: Mater. Sci. Eng. 1248 (2022) 012041

DOI: 10.1088/1757-899X/1248/1/012041

[47] K.P. Dahal, S.K. Regmi, J. Bhattarai, New approach for studying soil corrosivity degree to water supply pipelines of Lalitpur Sub-Metropolis (Nepal), in: Proc. CORCON 2021, Paper No. CMT13, 18-20 November 2021, NACE International Gateway of India Section (NIGIS/NACE), India, 2021, p.19. http://103.208.224.92:5014/Corcon%202021/html/Corrosion%20Monitoring%20and%20Testing/CMT13.pdf

[48] J. Jun, K.A. Unocic, M.V. Petrova, S.A. Shipilov, T. Carvalhaes, G. Thakur, J. Piburn, B.A. Pint, Methodologies for Evaluation of Corrosion Protection for Ductile Iron Pipe, Oak Ridge National Laboratory, Oak Ridge, USA, 2019, p.73.

DOI: 10.2172/1528741

[49] NACE RP0502-2002, Pipeline External Corrosion Direct Assessment Methodology, NACE International, Houston, Texas, USA, 2002, p.62.

DOI: 10.1108/acmm.2003.12850cab.009

[50] W. Wang, D. Robert, A. Zhou, C.-Q. Li, Factors affecting corrosion of buried cast iron pipes, J. Mater. Civ. Eng. 30(11) (2018) 04018272

DOI: 10.1061/(ASCE)MT.1943-5533.0002461

[51] P. Iqbal, D. Muslim, Z. Zakaria, H. Permana, Y. Yunarto, Relationship between soil engineering properties and corrosion rate in Andesitic volcanic soils, West Lampung, Sumatra, Indonesia, Jurnal Teknologi (Sci. Eng.) 83(1) (2021) 117-25

DOI: 10.11113/jurnalteknologi.v83.14924

[52] S. Suganya, R. Jeyalakshmi, Long-term study of the corrosion behavior of buried mild steel under different native soil environments, Mater. Today: Proc. 47(4) (2021) 957-963

DOI: 10.1016/j.matpr.2021.05.152

[53] S.R. Othman, N. Yahaya, N.M. Noor, L.K. Sing, L. Zardasti, A.S.A. Rashid, Modeling of external metal loss for a corroded buried pipeline, J. Pressure Vessel Technol. 139(3) (2017) 031702

DOI: 10.1115/1.4035463