Skip to main content
SpringerLink
Log in

Development of Prediction Models for Mechanistic Parameters of Granular Roads Using Combined Non-destructive Tests

  • Conference paper
  • First Online:
Advances in Transportation Geotechnics IV

Part of the book series: Lecture Notes in Civil Engineering ((LNCE,volume 164))

  • 1077 Accesses

Abstract

Characteristics of the surface aggregate materials are very important for the serviceability and performance of granular roads. Mechanical properties such as strength, abrasion resistance, and stiffness of these materials, along with the thickness of the aggregate surface layer are directly related to the performance of such roads. Therefore, the relationships between these various factors are important and may be used to predict the mechanical behavior of granular roadways. This study proposes statistical univariate and multivariate regression models to predict surface elastic modulus of granular road surfaces using data from falling weight deflectometer (FWD) and multichannel analysis of surface waves (MASW) tests. Stepwise regression analyses were performed to develop the models, and statistically significant independent variables were sought among the shear strength, density, thickness, moisture content, fines content, and gravel-to-sand ratio of the aggregate surface layer. Statistical analyses demonstrated that factorial multivariate models with inclusion of interaction between independent variables were useful for predicting the elastic modulus of granular road surfaces.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 469.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 599.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 599.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Gopisetti LSP, Cetin B, Forman BA, Durham S, Schwartz CW, Ceylan H (2019) Evaluation of four different climate sources on pavement mechanistic-empirical design and impact of surface shortwave radiation. Int J Pavement Eng 1–14

    Google Scholar 

  2. Satvati S, Cetin B, Ashlock JC, Ceylan H, Rutherford C (2020) Binding capacity of quarry fines for granular aggregates. In: ASCE geo-congress

    Google Scholar 

  3. Wu Y, Ashlock JC, Cetin B, Satvati S, Li C, Ceylan H (2020) Mechanistic performance evaluation of chemically and mechanically stabilized granular roadways. In: Geo-congress 2020: geotechnical earthquake engineering and special topics, pp 591–601

    Google Scholar 

  4. Mahedi M, Satvati S, Cetin B, Daniels JL (2020) Chemically induced soil water repellency and the Freeze-Thaw durability of soils. J Cold Reg Eng

    Google Scholar 

  5. Farhangi V, Karakouzian M (2020) Effect of fiber reinforced polymer tubes filled with recycled materials and concrete on structural capacity of pile foundations. Appl Sci 10(5):1554

    Article  Google Scholar 

  6. Ashtiani RS, Morovatdar A, Licon C, Tirado C, Gonzales J, Rocha S (2019) Characterization and quantification of traffic load spectra in texas overweight corridors and energy sector zones

    Google Scholar 

  7. Satvati S, Ashlock JC, Nahvi A, Jahren CT, Cetin B, Ceylan H (2019) A novel performance-based economic analysis approach: case study of iowa low volume roads. In: 12th TRB international conference on low-volume roads

    Google Scholar 

  8. Vennapusa PKR, White DJ (2009) Comparison of light weight deflectometer measurements for pavement foundation materials. Geotech Test J 32(3):239–251

    Google Scholar 

  9. Grasmick JG (2013) Using the light weight deflectometer with radial offset sensors on two-layer systems for construction quality control/quality assurance of reclaimed and stabilized materials

    Google Scholar 

  10. Ullidtz P, Askegaard V, Sjølin F (1996) Normal stresses in a granular material under falling weight deflectometer loading. Transp Res Rec 1540(1):24–28

    Article  Google Scholar 

  11. Gopalakrishnan K, Papadopoulos H (2011) Reliable pavement backcalculation with confidence estimation. Sci Iran 18(6):1214–1221

    Article  Google Scholar 

  12. Satvati S (2020) Benefit cost analysis of aggregate options for a granular roadway

    Google Scholar 

  13. Robertson PK, Campanella RG, Gillespie D, Rice A (1986) Seismic CPT to measure in situ shear wave velocity. J Geotech Eng 112(8):791–803

    Article  Google Scholar 

  14. Campanella RG, Robertson PK, Gillespie D (1983) Cone penetration testing in deltaic soils. Can Geotech J 20(1):23–35

    Article  Google Scholar 

  15. Park C, Ivanov J, Miller RD, Xia J, Ryden N (1999) Multichannel analysis of surface waves (MASW) for pavement : feasibility test May 2017

    Google Scholar 

  16. Coe P, Mahvelati JT, Asabere S (2016) A case study of multichannel analysis of surface waves (MASW) as a tool to characterize unknown foundations. In: International conference on deep foundations, seepage control and remediation (41st annual), p 9

    Google Scholar 

  17. Li C, Ashlock JC, Lin S, Vennapusa PKR (2018) In situ modulus reduction characteristics of stabilized pavement foundations by multichannel analysis of surface waves and falling weight deflectometer tests. Constr Build Mater 188:809–819

    Article  Google Scholar 

  18. Lin S, Ashlock JC (2014) Multimode rayleigh wave profiling by hybrid surface and borehole methods. Geophys J Int 197(2):1184–1195

    Article  Google Scholar 

  19. Cetin B, Satvati S, Ashlock JC, Jahren CT (2019) Performance-based evaluation of cost-effective aggregate options for granular roadways. Ames, IA

    Google Scholar 

  20. Morovatdar A, Ashtiani R, Licon C, Tirado C (2019) Development of a mechanistic approach to quantify pavement damage using axle load spectra from South Texas overload corridors. In: Geo-structural aspects of pavements, railways, and airfields conference, (GAP 2019)

    Google Scholar 

  21. Nazarian S (1983) Use of spectral analysis of surface waves method for determination of moduli and thicknesses of pavement systems.pdf. Transp Res Board 930:38–45

    Google Scholar 

  22. Nazarian S, Stokoe KH (1985) In situ determination of elastic moduli of pavement systems by spectral analysis of surface waves method (practical aspects), Report No. FHWA/TX-86/l3 + 368-lF 2, p 190

    Google Scholar 

  23. Stokoe (1994) Characterization of geotechnical sites by SASW method.pdf

    Google Scholar 

  24. Mazari M, Nazarian S (2017) Mechanistic approach for construction quality management of compacted geomaterials. Transp Geotech 13:92–102

    Article  Google Scholar 

  25. Puppala AJ (2008) Estimating stiffness of subgrade and unbound materials for pavement design, vol. 382. Transp Res Board

    Google Scholar 

  26. Tutumluer E (2013) Practices for unbound aggregate pavement layers, no. Project 20-05, Topic 43-03

    Google Scholar 

  27. Xiao Y, Tutumluer E, Mishra D (2015) Performance evaluations of unbound aggregate permanent deformation models for various aggregate physical properties. Transp Res Rec 2525(1):20–30

    Article  Google Scholar 

  28. Satvati S, Cetin B, Ashlock JC (2020) Investigation of the performance of different surface aggregate materials of an unpaved road. In: ASCE geo-congress

    Google Scholar 

  29. Stokoe KH, Wright SG, Bay JA, Roesset JM (1994) Characterization of geotechnical sites by SASW method. pp 15–25

    Google Scholar 

  30. Saltan M, Uz VE, Aktas B (2013) Artificial neural networks-based backcalculation of the structural properties of a typical flexible pavement. Neural Comput Appl 23(6):1703–1710

    Article  Google Scholar 

  31. Boussinesq J (1885) Application dès potentiels a l’étude de l’équilibre et du mouvement des solides élastiques. Gauthier-Villars

    Google Scholar 

  32. Grasmick J, Voth M, Asce AM, Senseney C, Asce M (2014) Capturing a layer response during the curing of stabilized earthwork using a multiple sensor lightweight deflectometer. J Mater Civ Eng 27(6):1–12

    Google Scholar 

  33. Odemark N (1949) Investigations as to the elastic properties of soils and design of pavements according to the theory of elasticity

    Google Scholar 

  34. Li C, Ashlock JC, White DJ, Vennapusa PKR (2017) Mechanistic-based comparisons of stabilised base and granular surface layers of low-volume roads. Int J Pavement Eng 8436:1–13

    Google Scholar 

  35. Mereu RF, Uffen RJ, Beck AE (1963) The use of a coupler in the conversion of impact energy into seismic energy. Geophysics 28(4):531–546

    Article  Google Scholar 

  36. Lin S (2014) Advancements in active surface wave methods modeling, testing, and inversion

    Google Scholar 

  37. Krzanowski W (2000) Principles of multivariate analysis, vol 23. OUP Oxford

    Google Scholar 

  38. Draper NR, Smith H (1998) Applied regression analysis, vol 326. Wiley

    Google Scholar 

  39. Hjorth JSU (2017) Computer intensive statistical methods: validation, model selection, and bootstrap. Routledge

    Google Scholar 

  40. Dziak JJ, Coffman DL, Lanza ST, Li R, Jermiin LS (2019) Sensitivity and specificity of information criteria. bioRxiv, 449751

    Google Scholar 

  41. Amini K, Wang X, Delatte N (2018) Statistical modeling of hydraulic and mechanical properties of pervious concrete using nondestructive tests. J Mater Civ Eng 30(6):4018077

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Terracon Consultants, Inc, Omaha, NE, 68144, USA

    Sajjad Satvati

  2. Michigan State University, East Lansing, MI, 48824, USA

    Bora Cetin

  3. Iowa State University, Ames, IA, 50011, USA

    Jeramy C. Ashlock

Authors
  1. Sajjad Satvati
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Bora Cetin
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Jeramy C. Ashlock
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Bora Cetin .

Editor information

Editors and Affiliations

  1. Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA

    Erol Tutumluer

  2. Department of Civil Engineering, The University of Texas at El Paso, El Paso, TX, USA

    Soheil Nazarian

  3. Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA

    Imad Al-Qadi

  4. Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA

    Issam I.A. Qamhia

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Satvati, S., Cetin, B., Ashlock, J.C. (2022). Development of Prediction Models for Mechanistic Parameters of Granular Roads Using Combined Non-destructive Tests. In: Tutumluer, E., Nazarian, S., Al-Qadi, I., Qamhia, I.I. (eds) Advances in Transportation Geotechnics IV. Lecture Notes in Civil Engineering, vol 164. Springer, Cham. https://doi.org/10.1007/978-3-030-77230-7_10

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-77230-7_10

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-77229-1

  • Online ISBN: 978-3-030-77230-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation