How effectively does the pavement endure and recover?
Postdoctoral Fellow · Virginia Tech
Burhan Showkat
Advancing resilient pavement infrastructure through mechanics, materials, and data.
Virginia Tech · VTTI
I am a Postdoctoral Fellow at Virginia Tech, affiliated with the Virginia Tech Transportation Institute (VTTI). My research examines how asphalt materials and pavement networks respond to moisture, traffic, recycled materials, and climate hazards. Across material and infrastructure scales, I connect chemistry and rheology with durability, structural capacity, and resilience.
I combine laboratory characterisation, mechanistic modelling, and data-driven analysis to develop calibrated thresholds and decision-support tools for highway agencies and industry.
Current Research
Making pavement resilience computable.
I am developing a mechanics-informed framework for quantifying how pavements respond to hazards, lose and regain performance, and benefit from intervention across asset and network scales.
Working definition
Pavement resilience is the ability of pavement assets to withstand, absorb, adapt to, and recover from hazard exposure while maintaining acceptable performance.A single score can summarize performance. The four capacities provide a clearer diagnosis of where resilience is gained or lost.
Describe the hazard, pavement condition, and relevant uncertainty.
Trace how exposure changes structural behaviour and performance.
Measure performance loss, retained function, and recovery over time.
Compare intervention choices from individual sections to corridors.
Conceptual trajectory
Performance through disruption and recovery.
A resilient pavement limits the initial loss, sustains function while disruption persists, and returns toward its intended performance after the hazard ends.
What consequences follow when performance is lost?
How consistently does the pavement meet its intended function?
Research translation
Moving from formalism to manuscripts and usable research software.
Research Landscape
Academic Interests
A core pavement research programme supported by complementary computational and construction methods.
Research throughline
Materials & Mechanics
- Rheology of Asphalt Binders & Mixes
- Moisture Damage Resistance of Asphalt Binders & Mixes
- Mechanistic Performance Assessment of Asphalt Binders & Mixes
- Recycling of Asphalt Mixes
Pavement Systems
- Distresses in Flexible & Rigid Pavements
- Design, Maintenance, Repair & Rehabilitation of Flexible & Rigid Pavements
- Forensic Investigation of Flexible & Rigid Pavements
Resilience & Sustainability
- Road Infrastructure Resilience
- Life Cycle Assessment (LCA) of Road Infrastructure
Research Software
Methods made usable.
These tools translate mechanics, uncertainty, and field evidence into workflows for pavement screening and intervention planning.
Deployable calculator
Deflection Bowl Parameter Calculator
Purpose
Computes network-level structural indicators from Falling Weight Deflectometer data and supports calibrated screening of heavily overlaid asphalt pavements.
Available actions
Research prototype
Pothole Management Tool
Purpose
Combines copula-based joint-exceedance severity with a span-constrained seed-and-bundle algorithm to group repairs into operationally coherent interventions.
Available actions
In development
Reflective-Crack Propagation Tool
Purpose
A mechanics-based tool for assessing how pavement interlayers influence reflective-crack initiation and propagation under monotonic loading.
Available action
Recent Works
Current manuscripts at the intersection of mechanics, infrastructure resilience, spatial optimisation, and machine learning.
Featured current work
In Preparation
Making Pavement Resilience Computable: A Mechanics-Based Framework for Flexible Pavements under Flood Hazards
Under Review
Multidimensional Pothole Management via Copula-Based Joint Exceedance and Span-Constrained Seed-and-Bundle Spatial Optimization
Under Review
Thickness-Aware Deflection-Bowl Benchmarks for Network Screening of Heavily Overlaid Asphalt Pavements: Calibrated Thresholds, Forensic Validation, and Deployable Software
Under Review
Cross-Modality Laboratory and Machine Learning Assessment of Stone Mastic Asphalt with Construction and Demolition Waste
Contact and Collaboration
I welcome collaborations that connect fundamental material behaviour with practical infrastructure decisions.
Hazard response, recovery, and decisions from pavement sections to corridors.
Rheology, moisture damage, recycling, durability, and reflective cracking.
Transparent analysis, validation, and deployable engineering tools.