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Nirmal Dhakal
Nirmal Dhakal
Verified email at lsu.edu
Title
Cited by
Cited by
Year
Mitigation strategies for reflection cracking in rehabilitated pavements–A synthesis
N Dhakal, MA Elseifi, Z Zhang
International Journal of Pavement Research and Technology 9 (3), 228-239, 2016
912016
Feasibility of low fiber content PVA-ECC for jointless pavement application
GA Arce, H Noorvand, MM Hassan, T Rupnow, N Dhakal
Construction and Building Materials 268, 121131, 2021
702021
Review of modelling crack initiation and propagation in flexible pavements using the finite element method
MA Elseifi, J Baek, N Dhakal
International Journal of Pavement Engineering 19 (3), 251-263, 2018
392018
Non-destructive detection of asphalt concrete stripping damage using ground penetrating radar
Y Ma, MA Elseifi, N Dhakal, MZ Bashar, Z Zhang
Transportation Research Record 2675 (10), 938-947, 2021
242021
Use of infrared thermography to detect thermal segregation in asphalt overlay and reflective cracking potential
N Dhakal, MA Elseifi
Journal of Materials in Civil Engineering 28 (2), 04015118, 2016
232016
Development of a deep convolutional neural network for the prediction of pavement roughness from 3D images
H Abohamer, M Elseifi, N Dhakal, Z Zhang, CN Fillastre
Journal of Transportation Engineering, Part B: Pavements 147 (4), 04021048, 2021
122021
Effects of asphalt-mixture characteristics and vehicle speed on fuel-consumption excess using finite-element modeling
N Dhakal, MA Elseifi
Journal of Transportation Engineering, Part A: Systems 143 (9), 04017047, 2017
112017
Mitigation strategies of reflection cracking in pavements
M Elseifi, N Dhakal
Louisiana Transportation Research Center, 2015
102015
Classification of surface pavement cracks as top-down, bottom-up, and cement-treated reflective cracking based on deep learning methods
N Dhakal, MA Elseifi, ZUA Zihan, Z Zhang, CN Fillastre, J Upadhyay
Canadian Journal of Civil Engineering 49 (4), 644-656, 2022
62022
Surface identification of top-down, bottom-up, and cement-treated reflective cracks using convolutional neural network and artificial neural networks
N Dhakal, ZUA Zihan, MA Elseifi, MR Mousa, K Gaspard, CN Fillastre
Journal of Transportation Engineering, Part B: Pavements 147 (1), 04020080, 2021
62021
Lime utilization in the laboratory, field, and design of pavement layers
M Elseifi, N Dhakal
Louisiana State University. Department of Civil and Environmental Engieering, 2017
42017
Identification of top-down, bottom-up, and cement-treated reflective cracks using convolutional neural network and artificial neural network
N Dhakal
Louisiana State University and Agricultural & Mechanical College, 2020
32020
Field Performance and Cost-Effectiveness of Chip Seals and Asphalt Concrete Overlays with and without Asphalt Concrete Stripping Damage
H Abohamer, MA Elseifi, N Dhakal, Z Zhang, CN Fillastre
Transportation Research Record 2677 (2), 1115-1125, 2023
22023
Effect of pavement responses on fatigue cracking and cement-treated reflective cracking failure mechanisms
N Dhakal, M Elseifi, IL Al-Qadi, T Rupnow
Journal of Transportation Engineering, Part B: Pavements 147 (4), 04021056, 2021
22021
Use of Steel Fibers for Induction Heating and Self-Healing in Asphalt Concrete
M Elseifi, Y Pamulapati, OS Elbagalati, N Dhakal
Louisiana State University. Louisiana Transportation Research Center, 2016
22016
A deep learning tool for the assessment of pavement smoothness and aggregate segregation during construction
M Elseifi, R Paudel, MT Ahmed Sarkar, H Abohamer, N Dhakal
12022
Use of infrared thermography to detect thermal segregation in asphalt overlay and reflective cracking potential.
MA Elseifi, N Dhakal
Southwest Region University Transportation Center (US), 2015
12015
Cost-Effective Detection and Repair of Moisture Damage in Pavements
MA Elseifi, N Dhakal, H Abohamer, Y Ma, ZUA Zihan
Louisiana Transportation Research Center, 2021
2021
Guidelines for Identification of Top-down Cracks (TDC) in In-Service Flexible Pavements
N Dhakal, M Bashar, M Elseifi
MATEC Web of Conferences 271, 08004, 2019
2019
Evaluation and Validation of a Model to Predict the Effect of Asphalt Mixtures and Vehicle Speed on Fuel Consumption Excess
N Dhakal
Louisiana State University and Agricultural & Mechanical College, 2016
2016
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