Highway Asset Management Framework for Longevity of Infrastructure – A Case Study for China-Pakistan Economic Corridor

Muhammad Irfan; Yasir Mehmood; Anwaar Ahmed; Hainian Wang

doi:doi:10.11648/j.ajce.20180606.12

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Highway Asset Management Framework for Longevity of Infrastructure – A Case Study for China-Pakistan Economic Corridor

Muhammad Irfan, Yasir Mehmood, Anwaar Ahmed, Hainian Wang

Published in American Journal of Civil Engineering (Volume 6, Issue 6)

Received: 4 January 2019 Published: 5 January 2019

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Abstract

Pavement management system (PMS) affords objective information and useful data analysis to make consistent, cost-effective, and defensible decisions related to the pavement preservation at network and project level. Pavement functional and structural evaluations using performance indicators such as international roughness index (IRI), surface distress, rutting, deflection data etc. are the key element of PMS. A departure from exiting stand-alone evaluation practices, this research presents project-level functional and structural evaluation and its integration into a PMS framework for more accurate and realistic forecasting of the pavement needs over the analysis period. A case study of an in-service pavement is presented to demonstrate the applicability of proposed framework. Owing to the non-availability of time-series performance data at present, pavement serviceability and structural capacity data before and after of an in-service pavement rehabilitation was explored for overlay treatments (conventional and crumb rubber- modified (CRM) asphalt mixtures) effectiveness analyses. Results of functional evaluation quantified the extent to which CRM improves the functional performance of the pavement, in terms of the drop in IRI. CRM asphalt mixture exhibited relatively superior functional performance in contrast to conventional asphaltic wearing course by a margin of 8% higher drop in IRI, on average. Non-destructive testing technique for pavement structural evaluation using falling weight deflectometer (FWD) data was employed to assess structural capacity of pavements. A computer-aided program was developed for estimation of structure number effective (SNeff) to be used as an input for overlay design using AASHTO empirical method. Moreover, mechanistic-empirical (M-E) design method was employed using evaluation of layer moduli and overlay design (ELMOD) program for overlay thickness design and pavement remaining service life (RSL). Comparison of pre- and post-rehabilitation deflection data endorsed roadbed soil stiffness and structural adequacy. RSL estimated through traffic data (truck load repetitions) validated the results obtained using empirical and M-E methods. Application of KENPAVE program for evaluation of pavement overlay thickness design was also demonstrated by conducting damage analysis. Integrating structural evaluation with functional evaluation into an overall framework of PMS is envisaged to provide systematic and objective procedures for monitoring and evaluating pavement performance, selecting optimal type of treatment and its thickness design.

Published in	American Journal of Civil Engineering (Volume 6, Issue 6)
DOI	10.11648/j.ajce.20180606.12
Page(s)	185-194
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2019. Published by Science Publishing Group

Keywords

Pavement Management System, Pavement Structural Evaluation, Remaining Service Life, Maintenance and Rehabilitation Strategies, Short Term Effectiveness Analysis

References

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[6]	Irfan M, Ahmed S, Labi S, Khurshid B. Developing a Framework for an Efficacios Highway Asset Management System in Pakistan.. ASCE Journal, p 10. 2010.
[7]	Smadi O, Van T. Using Structural Evolution for Pavement Management. Proc 7th International Conference on Managing Pavement Assets, ICMPA: Citeseer; 2008.
[8]	Flintsch G, Katicha S, Bryce J, Ferne B, Nell S, Diefenderfer B. Assessment of continuous pavement deflection measuring technologies. 2013.
[9]	Noureldin A, Zhu K, Li S, Harris D. Network pavement evaluation with falling-weight deflectometer and ground-penetrating radar. Transportation Research Record: Journal of the Transportation Research Board. 2003 (1860):90-9.
[10]	Von Quintus H, Simpson A. Back-calculation of layer parameters for LTPP test sections, volume II: Layered elastic analysis for flexible and rigid pavements. 2002.
[11]	Tonkin W, Taylor S. Collection and Interpretation of Pavement Structural Parameters using Deflection Testing. Part I: Network Asset Managemen. Road Infrastructure Management Support2012.
[12]	Uzan J. Dynamic linear back calculation of pavement material parameters. Journal of Transportation Engineering. 1994; 120 (1):109-26.
[13]	Dynatest. Falling Weight Deflectometer (FWD). https://www.dynatest.com/falling-weight-deflectometer-fwd2017.
[14]	Baladi GY. Analysis of pavement distress data, pavement distress indices, and remaining service life. Department of Engineering, Michigan State University, Michigan, USA. 1991.
[15]	NHA. General Specifications. NHA (National Highway Authority). Islamabad: NHA Head Quarters, 27 Mauve Area, G-9/1, Islamabad, Pakistan. 1998.
[16]	Tariq O. Road Asset Management System (RAMS) in NHA, Pakistan. https://prezi.com/jif3z3dnbv1i/road-asset-management-system-rams-in-nha-pakistan/#; 2015.

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APA Style

Muhammad Irfan, Yasir Mehmood, Anwaar Ahmed, Hainian Wang. (2019). Highway Asset Management Framework for Longevity of Infrastructure – A Case Study for China-Pakistan Economic Corridor. American Journal of Civil Engineering, 6(6), 185-194. https://doi.org/10.11648/j.ajce.20180606.12

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ACS Style

Muhammad Irfan; Yasir Mehmood; Anwaar Ahmed; Hainian Wang. Highway Asset Management Framework for Longevity of Infrastructure – A Case Study for China-Pakistan Economic Corridor. Am. J. Civ. Eng. 2019, 6(6), 185-194. doi: 10.11648/j.ajce.20180606.12

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AMA Style

Muhammad Irfan, Yasir Mehmood, Anwaar Ahmed, Hainian Wang. Highway Asset Management Framework for Longevity of Infrastructure – A Case Study for China-Pakistan Economic Corridor. Am J Civ Eng. 2019;6(6):185-194. doi: 10.11648/j.ajce.20180606.12

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@article{10.11648/j.ajce.20180606.12,
  author = {Muhammad Irfan and Yasir Mehmood and Anwaar Ahmed and Hainian Wang},
  title = {Highway Asset Management Framework for Longevity of Infrastructure – A Case Study for China-Pakistan Economic Corridor},
  journal = {American Journal of Civil Engineering},
  volume = {6},
  number = {6},
  pages = {185-194},
  doi = {10.11648/j.ajce.20180606.12},
  url = {https://doi.org/10.11648/j.ajce.20180606.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajce.20180606.12},
  abstract = {Pavement management system (PMS) affords objective information and useful data analysis to make consistent, cost-effective, and defensible decisions related to the pavement preservation at network and project level. Pavement functional and structural evaluations using performance indicators such as international roughness index (IRI), surface distress, rutting, deflection data etc. are the key element of PMS. A departure from exiting stand-alone evaluation practices, this research presents project-level functional and structural evaluation and its integration into a PMS framework for more accurate and realistic forecasting of the pavement needs over the analysis period. A case study of an in-service pavement is presented to demonstrate the applicability of proposed framework. Owing to the non-availability of time-series performance data at present, pavement serviceability and structural capacity data before and after of an in-service pavement rehabilitation was explored for overlay treatments (conventional and crumb rubber- modified (CRM) asphalt mixtures) effectiveness analyses. Results of functional evaluation quantified the extent to which CRM improves the functional performance of the pavement, in terms of the drop in IRI. CRM asphalt mixture exhibited relatively superior functional performance in contrast to conventional asphaltic wearing course by a margin of 8% higher drop in IRI, on average. Non-destructive testing technique for pavement structural evaluation using falling weight deflectometer (FWD) data was employed to assess structural capacity of pavements. A computer-aided program was developed for estimation of structure number effective (SNeff) to be used as an input for overlay design using AASHTO empirical method. Moreover, mechanistic-empirical (M-E) design method was employed using evaluation of layer moduli and overlay design (ELMOD) program for overlay thickness design and pavement remaining service life (RSL). Comparison of pre- and post-rehabilitation deflection data endorsed roadbed soil stiffness and structural adequacy. RSL estimated through traffic data (truck load repetitions) validated the results obtained using empirical and M-E methods. Application of KENPAVE program for evaluation of pavement overlay thickness design was also demonstrated by conducting damage analysis. Integrating structural evaluation with functional evaluation into an overall framework of PMS is envisaged to provide systematic and objective procedures for monitoring and evaluating pavement performance, selecting optimal type of treatment and its thickness design.},
 year = {2019}
}

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TY  - JOUR
T1  - Highway Asset Management Framework for Longevity of Infrastructure – A Case Study for China-Pakistan Economic Corridor
AU  - Muhammad Irfan
AU  - Yasir Mehmood
AU  - Anwaar Ahmed
AU  - Hainian Wang
Y1  - 2019/01/05
PY  - 2019
N1  - https://doi.org/10.11648/j.ajce.20180606.12
DO  - 10.11648/j.ajce.20180606.12
T2  - American Journal of Civil Engineering
JF  - American Journal of Civil Engineering
JO  - American Journal of Civil Engineering
SP  - 185
EP  - 194
PB  - Science Publishing Group
SN  - 2330-8737
UR  - https://doi.org/10.11648/j.ajce.20180606.12
AB  - Pavement management system (PMS) affords objective information and useful data analysis to make consistent, cost-effective, and defensible decisions related to the pavement preservation at network and project level. Pavement functional and structural evaluations using performance indicators such as international roughness index (IRI), surface distress, rutting, deflection data etc. are the key element of PMS. A departure from exiting stand-alone evaluation practices, this research presents project-level functional and structural evaluation and its integration into a PMS framework for more accurate and realistic forecasting of the pavement needs over the analysis period. A case study of an in-service pavement is presented to demonstrate the applicability of proposed framework. Owing to the non-availability of time-series performance data at present, pavement serviceability and structural capacity data before and after of an in-service pavement rehabilitation was explored for overlay treatments (conventional and crumb rubber- modified (CRM) asphalt mixtures) effectiveness analyses. Results of functional evaluation quantified the extent to which CRM improves the functional performance of the pavement, in terms of the drop in IRI. CRM asphalt mixture exhibited relatively superior functional performance in contrast to conventional asphaltic wearing course by a margin of 8% higher drop in IRI, on average. Non-destructive testing technique for pavement structural evaluation using falling weight deflectometer (FWD) data was employed to assess structural capacity of pavements. A computer-aided program was developed for estimation of structure number effective (SNeff) to be used as an input for overlay design using AASHTO empirical method. Moreover, mechanistic-empirical (M-E) design method was employed using evaluation of layer moduli and overlay design (ELMOD) program for overlay thickness design and pavement remaining service life (RSL). Comparison of pre- and post-rehabilitation deflection data endorsed roadbed soil stiffness and structural adequacy. RSL estimated through traffic data (truck load repetitions) validated the results obtained using empirical and M-E methods. Application of KENPAVE program for evaluation of pavement overlay thickness design was also demonstrated by conducting damage analysis. Integrating structural evaluation with functional evaluation into an overall framework of PMS is envisaged to provide systematic and objective procedures for monitoring and evaluating pavement performance, selecting optimal type of treatment and its thickness design.
VL  - 6
IS  - 6
ER  -

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Author Information

Muhammad Irfan

Military College of Engineering, National University of Sciences and Technology, Risalpur, Pakistan
Yasir Mehmood

Military College of Engineering, National University of Sciences and Technology, Risalpur, Pakistan
Anwaar Ahmed

Military College of Engineering, National University of Sciences and Technology, Risalpur, Pakistan
Hainian Wang

School of Highway, Chang’an University, Xi’an, China

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APA Style

Muhammad Irfan, Yasir Mehmood, Anwaar Ahmed, Hainian Wang. (2019). Highway Asset Management Framework for Longevity of Infrastructure – A Case Study for China-Pakistan Economic Corridor. American Journal of Civil Engineering, 6(6), 185-194. https://doi.org/10.11648/j.ajce.20180606.12

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ACS Style

Muhammad Irfan; Yasir Mehmood; Anwaar Ahmed; Hainian Wang. Highway Asset Management Framework for Longevity of Infrastructure – A Case Study for China-Pakistan Economic Corridor. Am. J. Civ. Eng. 2019, 6(6), 185-194. doi: 10.11648/j.ajce.20180606.12

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AMA Style

Muhammad Irfan, Yasir Mehmood, Anwaar Ahmed, Hainian Wang. Highway Asset Management Framework for Longevity of Infrastructure – A Case Study for China-Pakistan Economic Corridor. Am J Civ Eng. 2019;6(6):185-194. doi: 10.11648/j.ajce.20180606.12

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@article{10.11648/j.ajce.20180606.12,
  author = {Muhammad Irfan and Yasir Mehmood and Anwaar Ahmed and Hainian Wang},
  title = {Highway Asset Management Framework for Longevity of Infrastructure – A Case Study for China-Pakistan Economic Corridor},
  journal = {American Journal of Civil Engineering},
  volume = {6},
  number = {6},
  pages = {185-194},
  doi = {10.11648/j.ajce.20180606.12},
  url = {https://doi.org/10.11648/j.ajce.20180606.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajce.20180606.12},
  abstract = {Pavement management system (PMS) affords objective information and useful data analysis to make consistent, cost-effective, and defensible decisions related to the pavement preservation at network and project level. Pavement functional and structural evaluations using performance indicators such as international roughness index (IRI), surface distress, rutting, deflection data etc. are the key element of PMS. A departure from exiting stand-alone evaluation practices, this research presents project-level functional and structural evaluation and its integration into a PMS framework for more accurate and realistic forecasting of the pavement needs over the analysis period. A case study of an in-service pavement is presented to demonstrate the applicability of proposed framework. Owing to the non-availability of time-series performance data at present, pavement serviceability and structural capacity data before and after of an in-service pavement rehabilitation was explored for overlay treatments (conventional and crumb rubber- modified (CRM) asphalt mixtures) effectiveness analyses. Results of functional evaluation quantified the extent to which CRM improves the functional performance of the pavement, in terms of the drop in IRI. CRM asphalt mixture exhibited relatively superior functional performance in contrast to conventional asphaltic wearing course by a margin of 8% higher drop in IRI, on average. Non-destructive testing technique for pavement structural evaluation using falling weight deflectometer (FWD) data was employed to assess structural capacity of pavements. A computer-aided program was developed for estimation of structure number effective (SNeff) to be used as an input for overlay design using AASHTO empirical method. Moreover, mechanistic-empirical (M-E) design method was employed using evaluation of layer moduli and overlay design (ELMOD) program for overlay thickness design and pavement remaining service life (RSL). Comparison of pre- and post-rehabilitation deflection data endorsed roadbed soil stiffness and structural adequacy. RSL estimated through traffic data (truck load repetitions) validated the results obtained using empirical and M-E methods. Application of KENPAVE program for evaluation of pavement overlay thickness design was also demonstrated by conducting damage analysis. Integrating structural evaluation with functional evaluation into an overall framework of PMS is envisaged to provide systematic and objective procedures for monitoring and evaluating pavement performance, selecting optimal type of treatment and its thickness design.},
 year = {2019}
}

Copy | Download

TY  - JOUR
T1  - Highway Asset Management Framework for Longevity of Infrastructure – A Case Study for China-Pakistan Economic Corridor
AU  - Muhammad Irfan
AU  - Yasir Mehmood
AU  - Anwaar Ahmed
AU  - Hainian Wang
Y1  - 2019/01/05
PY  - 2019
N1  - https://doi.org/10.11648/j.ajce.20180606.12
DO  - 10.11648/j.ajce.20180606.12
T2  - American Journal of Civil Engineering
JF  - American Journal of Civil Engineering
JO  - American Journal of Civil Engineering
SP  - 185
EP  - 194
PB  - Science Publishing Group
SN  - 2330-8737
UR  - https://doi.org/10.11648/j.ajce.20180606.12
AB  - Pavement management system (PMS) affords objective information and useful data analysis to make consistent, cost-effective, and defensible decisions related to the pavement preservation at network and project level. Pavement functional and structural evaluations using performance indicators such as international roughness index (IRI), surface distress, rutting, deflection data etc. are the key element of PMS. A departure from exiting stand-alone evaluation practices, this research presents project-level functional and structural evaluation and its integration into a PMS framework for more accurate and realistic forecasting of the pavement needs over the analysis period. A case study of an in-service pavement is presented to demonstrate the applicability of proposed framework. Owing to the non-availability of time-series performance data at present, pavement serviceability and structural capacity data before and after of an in-service pavement rehabilitation was explored for overlay treatments (conventional and crumb rubber- modified (CRM) asphalt mixtures) effectiveness analyses. Results of functional evaluation quantified the extent to which CRM improves the functional performance of the pavement, in terms of the drop in IRI. CRM asphalt mixture exhibited relatively superior functional performance in contrast to conventional asphaltic wearing course by a margin of 8% higher drop in IRI, on average. Non-destructive testing technique for pavement structural evaluation using falling weight deflectometer (FWD) data was employed to assess structural capacity of pavements. A computer-aided program was developed for estimation of structure number effective (SNeff) to be used as an input for overlay design using AASHTO empirical method. Moreover, mechanistic-empirical (M-E) design method was employed using evaluation of layer moduli and overlay design (ELMOD) program for overlay thickness design and pavement remaining service life (RSL). Comparison of pre- and post-rehabilitation deflection data endorsed roadbed soil stiffness and structural adequacy. RSL estimated through traffic data (truck load repetitions) validated the results obtained using empirical and M-E methods. Application of KENPAVE program for evaluation of pavement overlay thickness design was also demonstrated by conducting damage analysis. Integrating structural evaluation with functional evaluation into an overall framework of PMS is envisaged to provide systematic and objective procedures for monitoring and evaluating pavement performance, selecting optimal type of treatment and its thickness design.
VL  - 6
IS  - 6
ER  -

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