Skip to main content
Log in

Failure assessment of dysfunctional flexible pavement drainage facility using fuzzy analytical hierarchical process

  • Technical paper
  • Published:
Innovative Infrastructure Solutions Aims and scope Submit manuscript

Abstract

Drainage system is an important facility in the road which aids the road pavement to withstand and absorb storm water and environmental stresses. When it is inadequate, the roadway suffers premature failure due to increase in moisture content of the pavement materials. For technical emphasis of the hazardous effects of dysfunctional drainage facilities on road, a case study of a failed highway, connecting Anambra state and Imo state Nigeria, was investigated. Site observation, samples collections and experimental methods were carried out in this study with the aim of investigating the drainage challenges which resulted to the failure. Soil classification and determination of the general subgrade soil properties were carried out through experimental methods. The soil was classified as A-6 by AASHTO with 32% liquid limit, 17% plastic limit, 15% plasticity index, 18% of OMC, 1.97 g/m3 of MDD, SG of 2.6 and 20% CBR-value which indicated high swelling potentials unsuitable for road construction. The asphalt concrete properties results showed averaged stability, BCT, flow, voids in total mix and voids filled results of 4.5%, 3200 N, 1.88 mm, 12% and 55% respectively, which failed to meet the FMW specifications. The road drainage facility which was observed as the primary cause of the deterioration was systematically assessed using FAHP and AHP multi-criteria technique in decision making to ascertain the cause of inefficient pavement drainage facility leading to rapid road failure. Through experimental results obtained and relevant literatures, ranking values were properly assigned to generate the PwCM used for determination of the criteria weights. The computed priority vector showed a result of 4.52% for slope stability problems, 57.28% for inadequate drainage/culvert capacity, 11.68% for drainage discontinuity and 26.52% for material related problems. The generated results were validated using student’s t test statistical analysis at 95% confidence level to obtain P(T <  = t) two-tail, Pearson correlation and t Critical value of 0.99992, 0.99983 and 3.182, respectively, which indicates that no significant difference exist between the two results. Topography study, rainfall intensity evaluation and re-designing of the highway drainage system were recommended with reconstruction of the failed road using standard materials.

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

Similar content being viewed by others

Abbreviations

PwCM:

Pairwise comparison matrix

FMW:

Federal Ministry of Works and Housing

AHP:

Analytical hierarchical process

FAHP:

Fuzzy analytical hierarchical process

RI:

Random consistency Index

PV:

Priority vector

CI:

Consistency index

CR:

Consistency ratio

AASHTO:

American Association of State Highway and Transportation Officials

CBR:

California bearing ratio

LL:

Liquid limit

PL:

Plastic limit

PI:

Plasticity index

OMC:

Optimum moisture content

MDD:

Dry density

SG:

Specific gravity

BCT:

Bituminous content test

References

  1. Respondek Z (2017) The problems of maintenance of drainage devices within municipal and district roads. Manag Syst Prod Eng 25(2):100–104. https://doi.org/10.1515/mspe-2017-0015

    Article  Google Scholar 

  2. Hendratta LA (2014) Optimization of the road drainage network system as an alternative in handling water inundation. Civ Tekno J 12–16 Sam Ratulangi University

  3. Kalantari Z, Briel A, Lyon SW, Olofsson B, Folkeson L (2014) On the utilization of hydrological modelling for road drainage design under climate and land use change. Sci Total Environ 475:97–103. https://doi.org/10.1016/j.scitotenv.2013.12.114

    Article  Google Scholar 

  4. NCHRP (2002) “Development of the 2002 guide for the design of new and rehabilitated pavement structures, “the national cooperative research program (NCHRP), Project 1–37A. Transportation Research Board, Washington D C

    Google Scholar 

  5. Reddy BB, Veeraragavan A (2001) Priority ranking model for managing flexible pavement at management level. Centre for Transportation Engineering, Bangalore University, Bangalore, India

  6. Siddhartha R, Agarwal PK, Rajnish S (2012) Drainage and flexible pavement performance. Int J Eng Sci Technol 4(04):1308–1311

    Google Scholar 

  7. Onoyan-usin A, Lazhi YG, Itomi-ushi DP (2013) Bad drainage and its effects on road pavement conditions in Nigeria. Civ Environ Res 3(1):7–15

    Google Scholar 

  8. Zakaria A, Ab. Ghani A, Abdullah R, Sidek LM, Kassim AH, Ainan A (2004), MSMA: a new urban stormwater management manual for Malaysia. In: 6th International Conference on Hydroscience and Engineering (ICHE-2004), Brisbane, Australia, May 30–June 3

  9. KebedeWarati G, AdugnaDemissie T (2015) Assessment of the effect of urban road surface drainage: a case study at ginjogudurukebele of Jimma Town. Int J Sci Tech Soc 3(4):164–173. https://doi.org/10.11648/j.ijsts.20150304.20

    Article  Google Scholar 

  10. AbhijitJalindar PP (2011) Effects of bad drainage on roads. Civ Environ Res 1(1):1–7

    Google Scholar 

  11. Damayanti M, Sutrisno M, Karnisah I (2020) The road drainage planning for flood control in Dr. Djunjunan road, Pasteur–Bandung. IOP Conf Ser Mater Sci Eng 732:012032. https://doi.org/10.1088/1757-899X/732/1/012032

    Article  Google Scholar 

  12. U.S. Department of Transportation, Federal Highway Administration (2001) Hydraulic Engineering Circular No. 22, Second Edition “Urban Drainage Design Manual,” FHWA- NHI01–021.

  13. U.S. Natural Resources Conservation Service (2004) National Engineering Handbook “Estimation of Direct Runoff from Storm Rainfall”.

  14. Zumrawi MME (2016) Investigating surface drainage problem of roads in Khartoum State. Int J Civ Eng Technol 7(3):91–103

    Google Scholar 

  15. Respondek Z (2019) Analysis of technical condition of local roads drainage in the Czestochowa Region. Qual Prod Improv QPI 1(1):251–260. https://doi.org/10.2478/cqpi-2019-0034

    Article  Google Scholar 

  16. Onyelowe KC, Van Bui D, Van Nguyen M, Ezugwu C, Amhadi T, Sosa F, Wu W, Duc TT, Orji F, Alaneme G (2019) Experimental assessment of subgrade stiffness of lateritic soils treated with crushed waste plastics and ceramics for pavement foundation. Int J Low Carbon Technol. https://doi.org/10.1093/ijlct/ctz015

    Article  Google Scholar 

  17. Onyelowe KC, Alaneme G, Igboayaka C, Orji F, Ugwuanyi H, Van Bui D, Van Nguyen M (2019) Scheffe optimization of swelling California bearing ratio, compressive strength, and durability potentials of quarry dust stabilized soft clay soil. Mater Sci Energy Technol 2(1):67–77. https://doi.org/10.1016/j.mset2018.10.005

    Article  Google Scholar 

  18. Rokade S, Agarwal PK, Shrivastava R (2012) Study on drainage related performance of flexible highway pavements. Int J Adv Eng Technol (IJAET) 3(1):334–337

    Google Scholar 

  19. Beskese A, Demir HH, Ozcan HK, Okten HE (2015) Landfill site selection using fuzzy AHP and fuzzy TOPSIS: a case study for Istanbul. Environ Earth Sci 73:3513–3521

    Article  Google Scholar 

  20. Vahidi H, Ghazban F, Abdoli MA, Kazemi VD, Banaei SMA (2013) Fuzzy analytical hierarchy process disposal method selection for an industrial state; case study Charmshahr. Arab J Sci Eng 39(2):725–735

    Article  Google Scholar 

  21. Bruno G, Esposito E, Genovese A, Passaro R (2012) AHP-based approaches for supplier evaluation: problems and perspectives. J Purch Supply Manag 18(3):159–172

    Article  Google Scholar 

  22. BüyüközkanFeyzıog̃lu GO (2004) A fuzzy-logic-based decision-making approach for new product development. Int J Prod Econ 90(1):27–45

    Article  Google Scholar 

  23. Can Kutlu A, Ekmekciog˘lu, M. (2012) Fuzzy failure modes and effects analysis by using fuzzy TOPSIS-based fuzzy AHP. Expert Syst Appl 39(2012):61–67

    Article  Google Scholar 

  24. Chang DY (1996) Applications of the extent analysis method on fuzzy AHP. Eur J Oper Res 95(3):649–655

    Article  Google Scholar 

  25. Alaneme GU, Onyelowe KC, Onyia ME, Van Bui D, Mbadike EM, Dimonyeka MU, Attah IC, Ogbonna C, Iro UI, Kumari S, Firoozi AA, Oyagbola I (2020) Modelling of the swelling potential of soil treated with quicklime-activated rice husk ash using fuzzy logic. Umudike J Eng Technol 6(1):1–22. https://doi.org/10.33922/j.ujet_v6i1_1

    Article  Google Scholar 

  26. Nasrollahzadeh Y, Basiri MM (2014) Prediction of shear strength of FRP reinforced concrete beams using fuzzy inference system. Exp Syst Appl 41(2014):1006–1020. https://doi.org/10.1016/j.eswa.2013.07.045

    Article  Google Scholar 

  27. Demir F (2005) Prediction of compressive strength of concrete using ANN and fuzzy logic. Cem Concr Res 2005(35):1531–1538

    Article  Google Scholar 

  28. Topcu IB, Sarıdemir M (2008) Prediction of mechanical properties of recycled aggregate concretes containing silica fume using artificial neural networks and fuzzy logic. Comput Mater Sci 42(1):74–82

    Article  Google Scholar 

  29. Mukherjee D (2014) Highway surface drainage system and problems of water logging in roadsection. Int J Eng Sci (IJES) 3(11):44–51

    Google Scholar 

  30. Jitendra G, Pradeep KA, Manoj KS (2013) A Framework for quantification of effect of drainage quality on structural and functional performance of pavement. Int J Eng Res 2(3):257–263

    Google Scholar 

  31. Galvão Ribeiro AM, Dias Capitãoa S, Gil Correia R (2019) Deciding on maintenance of small municipal roads based on GIS simplified procedures. Case Stud Transp Policy 7(2):330–337. https://doi.org/10.1016/j.cstp.2019.03.011

    Article  Google Scholar 

  32. Zumrawi M (2013) Pavement design for roads on expansive clay subgrades. Univ Khartoum Eng J (UOFKEJ) 3(1):52–58

    Google Scholar 

  33. Chairuddin F (2013) Experimental assessment of the impact of rainwater inundation on Asphalt pavement structures (Case Study Dr. Wahidin Sudiro Husodo Street, Makassar City). In: Proceedings of KonTeks 7, Sebelas Maret University, Surakarta, Indonesia (in Bahasa Indonesia)

  34. Liany AH (2014) Optimization of road drainage system as an alternative solution to inundation, Journal Tekno Sipil, Vol.12 No.16, Sam Ratulangi University, Manado, Indonesia (in Bahasa Indonesia)

  35. Bisht DS, Chatterjee C, Kalakoti S, Upadhyay P, Sahoo M, Panda A (2016) Modeling urban floods and drainage using SWMM and MIKE URBAN: a case study. Nat Hazards 84(2):749–776. https://doi.org/10.1007/s11069-016-2455-1

    Article  Google Scholar 

  36. Owuama CO (2014) Sustainable drainage system for road networking. Int J Innov Manag Technol. https://doi.org/10.7763/ijimt.2014.v5.491

    Article  Google Scholar 

  37. Rudiono J (2018) Priority scale of drainage rehabilitation of Cilacap City. IOP Conf Ser Mater Sci Eng. https://doi.org/10.1088/1757-899X/333/1/012111

    Article  Google Scholar 

  38. Aitken AP (1975) Hydrologic Investigation and Design of Urban Storm water Drainage Systems. Australian Water Resources Council, Technical Paper No.10, Canberra, Australia. [4] Arizona Department of Transportation, Highway Drainage Design Manual Hydraulics Final Report (2007)

  39. Croney P, Croney D (1998) The design and performance of road pavements. McGraw-Hill Professional, New York City

    Google Scholar 

  40. Federal Ministry of Works and Housing (1997) General specification for roads and bridges, vol II. Lagos, Nigeria, Federal Highway Department, FMWH, p 317

    Google Scholar 

  41. Alaneme GU, Mbadike EM (2021) Experimental investigation of Bambara nut shell ash in the production of concrete and mortar. Innov Infrastruct Solut 6:66. https://doi.org/10.1007/s41062-020-00445-1

    Article  Google Scholar 

  42. Osuolale OM, Oseni AA, Sanni IA (2012) Investigation of highway pavement failure along Ibadan—Iseyin Road, Oyo State, Nigeria. Int J Eng Res Technol (IJERT) 1

  43. Szklarzyk P (2014) Visual inspection as one of the important elements of the quality control. Prod Eng Arch 2(1):9–11. https://doi.org/10.30657/pea.2014.02.03

    Article  Google Scholar 

  44. Hein DK, Swan D, Schaus L (2010) Structural and hydrological design of permeable pavement. In: Conference of The Transportation Association of Canada

  45. Sutrisno M, Karnawati H, Igustiani F (2014) Optimisation model for problem solving of bandung urban basin flood using value engineering approach. Int J Civ Struct Eng IJCSE 1(2):51–55

    Google Scholar 

  46. British Standard (BS) 1377 (1990) Method of testing soils for civil engineering purpose. British Standards Institution, London

    Google Scholar 

  47. Onyelowe KC (2017) Mathematical advances in soil bearing capacity. Electron J Geotech Eng 2017(22):4735–4743

    Google Scholar 

  48. BritishStandard (BS) 1924 (1990) Method of testing for stabilized soils. British Standard Institution, London

    Google Scholar 

  49. Chen FH (1988) Foundations on expansive soils, 2nd edn. Elsevier Services Publications, New York

    Google Scholar 

  50. West RC, Page GC, Murphy KH (1993) Evaluation of crushed glass in asphalt paving mixtures. Use of waste materials in hot-mix asphalt. ASTM International

  51. Arabani M, Tahami SA, Taghipoor M (2017) Laboratory investigation of hot mix asphalt containing waste materials. Road Mater Pavement Des 18(3):713–729

    Article  Google Scholar 

  52. Vaitkus A, Cygas D (2009) Analysis and evaluation of possibilities for the use of warm mix asphalt in Lithuania. Baltic J Road Bridge Eng 4(2):80–86. https://doi.org/10.3846/1822427X.2009.4.80-86

    Article  Google Scholar 

  53. Alaneme GU, Elvis M (2019) Modelling of the mechanical properties of concrete with cement ratio partially replaced by aluminium waste and sawdust ash using artificial neural network. SN Appl Sci 1:1514. https://doi.org/10.1007/s42452-019-1504-2

    Article  Google Scholar 

  54. Alaneme George U, Mbadike Elvis M (2019) optimization of flexural strength of palm nut fibre concrete using Scheffe’s theory. Mater Sci Energy Technol 2(2019):272–287. https://doi.org/10.1016/j.mset.2019.01.006

    Article  Google Scholar 

  55. Kabir G, Hasin MAA (2011) Comparative analysis of AHP and Fuzzy AHP models for multicriteria inventory classification. Int J Fuzzy Logic Syst 1(1):1–16

    Google Scholar 

  56. Wang J, Forman BA, Davis AP (2018) Probabilistic stormwater runoffand water quality modeling of a highway in suburban Maryland. J Hydrol Eng 23(2):1–12. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001600

    Article  Google Scholar 

  57. Carbone M, Brunetti G, Piro P (2014) Hydrological performance of a permeable pavement in mediterranean. Climate. https://doi.org/10.5593/SGEM2014/B31/S12.050

    Article  Google Scholar 

  58. Parkinson J, dan Mark O (2005) Urban stormwater management in developing countries. IWA Publishing

  59. Onyelowe KC, Van Bui D, Talalamhadi CE, Sosa F, Orji F, Alaneme G (2019) Adaptation Of Ohia Pozzolan soil on cemented lateritic soilas base material improvement. Italian J Eng Geol Environ 1:17–23. https://doi.org/10.4408/ijege.2019-01.O-02

    Article  Google Scholar 

  60. Chimmaobi O, Mbadike EM, Alaneme GU (2020) Experimental investigation of cassava peel ash in the production of concrete and mortar. Umudike J Eng Technol 6(2):10–21. https://doi.org/10.33922/j.ujet_v6i1_1

    Article  Google Scholar 

  61. Onyelowe KC, Van Bui D, Van Nguyen M (2018) Swelling potential, shrinkage and durability of cemented and uncemented lateritic soils treated with CWC base geopolymer. Int Journal of Geotechnical Engineering. https://doi.org/10.1080/19386362.2018.1462606

    Article  Google Scholar 

  62. Park HI, l. and Lee, S. R. (2011) Evaluation of the compression index of soils using an artificial neural network. Comput Geotech 38:472–481. https://doi.org/10.1016/j.compgeo.2011.02.011

    Article  Google Scholar 

  63. De Graft-Johnson, JWS (1969) The Engineering characteristics of the lateritic gravels of Ghana. In: Proceedings of 7 international Conference on soil Mechanics and Foundation Engineering, Mexico, Vol. 2, Aug. 28–29, Asian Institute of Technology, Bangkok, pp. 13–43

  64. Bello AA, Ige JA, Tajudeen S (2007) Geotechnical characterization of lateritic Soils in parts of Ejigbo Local Government Area. South-western Nigeria LAUTECH J Engr Technol 4(2):34–38

    Google Scholar 

  65. Salahudeen AB, Eberemu OA, Osinubi KJ (2014) Assessment of cement kiln dust-treated expansive soil for the construction of flexible pavements. Geotech Geol Eng 32(4):923–931

    Article  Google Scholar 

  66. AASHTO (2005) Standard specification for transportation materials and methods of sampling and testing, part II Methods of sampling and testing 25th Edition. American Association of State Highway and Transportation Officials, Washington DC

  67. AASHTO (1993) Guide for design of pavement structures. American Association of State Highway and Transportation Officials (AASHTO), Washington DC, 1993

  68. Osinowo OO, Akanji AO, Akinmosin A (2011) Integrated geophysical and geotechnical investigation of the failed portion of a road in basement complex Terrain Southwest Nigeria. RMZ Mater Geoenviron 58(2):143–162

    Google Scholar 

  69. Alaneme GU, Ezeokpube GC, Mbadike EM (2020) Failure analysis of a partially collapsed building using analytical hierarchical process. J Fail Anal Preven. https://doi.org/10.1007/s11668-020-01040-3

    Article  Google Scholar 

  70. SinghNavpreetNitin RRKG (2014) Drainage on roads. Int J Prog Civ Eng 1(1):2394–4684

    Google Scholar 

  71. Okikbo K (2012) Causes of highway failures in Nigeria. Int J Eng Sci Technol 4(11):4695

    Google Scholar 

  72. Giancarro FB (1995) Management of a storm water drainage system within an established Urban Area. The Second International Symposium on Urban Storm water Management, Melbourne, Australia, pp 21–25

    Google Scholar 

  73. Naidu SS, Nanda PK, Kalla P, Sitaramanjaneyulu K (2005) Pavement maintenance management system for urban roads using software HDM-4 a case study. J Indian Roads Congress 66(3):641–669

    Google Scholar 

  74. IRC: 37 (2001) Guidelines for the design of flexible pavements. The Indian Road Congress, New Delhi-, p 110011

    Google Scholar 

  75. IRC: SP: 50 (1999) Guidelines of Urban drainage. The Indian Road Congress, New Delhi

    Google Scholar 

  76. European Regional Development Fund (2013) Handbook on Sustainable Urban Drainage Systems. European Union

  77. Agarwal P, Sahai M, Mishra V, Bag M, Singh V (2011) A review of multi-criteria decision making techniques for supplier evaluation and selection. Int J Ind Eng Comput 2(4):801–810

    Google Scholar 

  78. Attah IC, Etim RK, Alaneme GU et al (2020) Optimization of mechanical properties of rice husk ash concrete using Scheffe’s theory. SN Appl Sci 2:928. https://doi.org/10.1007/s42452-020-2727-y

    Article  Google Scholar 

  79. Huang SY, Wang CY, Chiou CY (2014) FAHP Application for Green Supplier Selection in Electronic Industry. J Hum Resour Adult Learn 10(2):49–60

    Google Scholar 

  80. Yang CC, Chen BS (2004) Key quality performance evaluation using fuzzy AHP. J Chin Inst Ind Eng 21(6):543–550

    Google Scholar 

  81. Saaty TL, Vargas LG (2006) Decision making with the analytic network process: economic, political, social and technological applications with benefits, opportunities, costs and risks. Springer, New York

    Google Scholar 

  82. Omer OG, Elsharief AM, Mohamed AE (2014) Failure Investigation for Recently Constructed Road in Khartoum State. J Geol Resour Eng 2:20–31

    Google Scholar 

  83. Alaneme GU, Onyelowe KC, Onyia ME, Van Bui D, Mbadike EM, Ezugwu CN, Dimonyeka MU, Attah IC, Ogbonna C, Abel C, Ikpa CC, Udousoro IM (2020) Modeling volume change properties of hydrated-lime activated rice husk ash (HARHA) Modified Soft Soil for Construction Purposes by Artificial Neural Network (ANN). Umudike J Eng Technol 6(1):88–110. https://doi.org/10.33922/j.ujet_v6i1_9

    Article  Google Scholar 

  84. Alaneme G, Mbadike E (2020) Modelling of the compressive strength of palm-nut-fibre concrete using Scheffe’s theory. Comput Eng Phys Model 3(1):31–40. https://doi.org/10.22115/cepm.2020.212999.1076

    Article  Google Scholar 

  85. Saaty TL, Vargas LG (2000) Models, methods, concepts and applications of the analytic hierarchy process. Kluwer Academic Publishers, Boston

    Google Scholar 

  86. Saaty TL (2003) Decision-making with the AHP: why is the principal eigenvector necessary. Eur J Oper Res 145(1):85–91

    Article  Google Scholar 

  87. Meixner O (2009) Fuzzy AHP group decision analysis and its application for the evaluation of energy sources. In: Proceedings of the 10th International Symposium on the Analytic Hierarchy/Network Process, Pittsburgh, PA, USA (Vol. 29)

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to George U. Alaneme.

Ethics declarations

Conflict of interest

In this research study, there are no recorded conflicts of interests. We also affirm that the content of this work is original and has followed the journal template. Compliance with Ethical Standards was strictly observed.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Alaneme, G.U., Dimonyeka, M.U., Ezeokpube, G.C. et al. Failure assessment of dysfunctional flexible pavement drainage facility using fuzzy analytical hierarchical process. Innov. Infrastruct. Solut. 6, 122 (2021). https://doi.org/10.1007/s41062-021-00487-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s41062-021-00487-z

Keywords

Navigation