Postdoctoral Fellow · Virginia Tech

Burhan Showkat

Advancing resilient pavement infrastructure through mechanics, materials, and data.

Portrait of Burhan Showkat

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.

Binder Mixture Pavement Network

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.

01 Characterise

Describe the hazard, pavement condition, and relevant uncertainty.

02 Propagate

Trace how exposure changes structural behaviour and performance.

03 Quantify

Measure performance loss, retained function, and recovery over time.

04 Compare

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.

Conceptual pavement resilience trajectory Asset capacity begins at one hundred percent, decreases through absorptive and adaptive phases after a hazard begins, remains at a reduced level until the hazard ends, and then returns to full capacity. ABSORPTIVECAPACITY ADAPTIVECAPACITY RECOVERYCAPACITY 100% 80% 60% 40% 20% 0% HAZARDBEGINS PERFORMANCEDECREASE HAZARDENDS FULL CAPACITY ASSET / SYSTEM CAPACITY AVAILABLE TIME (DAYS)
WWithstandRemain serviceable AAbsorbLimit immediate loss RRecoverRestore performance ΔAdaptFunction through disruption Adapted from Cordero et al. (2024).
Resilience
Performance retained and regained.

How effectively does the pavement endure and recover?

Risk
Expected consequence of adverse performance.

What consequences follow when performance is lost?

Reliability
Probability of acceptable performance.

How consistently does the pavement meet its intended function?

Research Landscape

Academic Interests

A core pavement research programme supported by complementary computational and construction methods.

Research throughline

01 Material response Binder & mixture 02 Pavement performance Asset & structure 03 Infrastructure decisions Network & life cycle
Binder + mixture scale

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
Asset + structural scale

Pavement Systems

  • Distresses in Flexible & Rigid Pavements
  • Design, Maintenance, Repair & Rehabilitation of Flexible & Rigid Pavements
  • Forensic Investigation of Flexible & Rigid Pavements
Network + life-cycle scale

Resilience & Sustainability

  • Road Infrastructure Resilience
  • Life Cycle Assessment (LCA) of Road Infrastructure
Complementary methods Extending the central pavement programme.
Construction method3D Concrete Printing
Computational methodMachine Learning

Research Software

Methods made usable.

These tools translate mechanics, uncertainty, and field evidence into workflows for pavement screening and intervention planning.

Deflection bowl response zones A Falling Weight Deflectometer load produces a deflection bowl interpreted through base, middle, and lower layer index zones. APPLIED LOAD ≈300 mm ≈600 mm BLI Base Layer Index Asphalt + base MLI Middle Layer Index Base + subbase LLI Lower Layer Index Subbase + subgrade ZONE 1 ZONE 2 ZONE 3 FWD response zones / not to scale
Development status

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.

Spatial pothole repair bundles A road corridor with severity-weighted pothole sites, selected seed locations, and two spatially coherent repair bundles. BUNDLE 01 BUNDLE 02 Severity site Selected seed Repair bundle Joint severity / spatial repair bundles
Development status

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.

Reflective-crack mitigation by an asphalt interlayer A red underlying crack bifurcates below a thin interlayer. One branch arrests at the lower interface; the other enters the interlayer, turns black, rises to the upper interface, and propagates laterally to the right. UPPER OVERLAY LOWER CRACKED LAYER CRACK ARREST DEFLECTION / SPREADING UPWARD PROPAGATION Bifurcation / arrest / interlayer spreading
Development status

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.

View all publications
2026

Under Review

Multidimensional Pothole Management via Copula-Based Joint Exceedance and Span-Constrained Seed-and-Bundle Spatial Optimization

Burhan Showkat, Mirza Ghouse Baig, Fahad Fardan Alqahtani, Debakanta Mishra, Mohammed Al-Osta, and Suleiman Abdulrahman. Under review in International Journal of Pavement Engineering.

  • Pothole Management
  • Spatial Optimization
  • Pavement Engineering
2026

Under Review

Thickness-Aware Deflection-Bowl Benchmarks for Network Screening of Heavily Overlaid Asphalt Pavements: Calibrated Thresholds, Forensic Validation, and Deployable Software

Burhan Showkat and Dharamveer Singh. Under review in International Journal of Pavement Engineering.

  • Deflection Bowls
  • Forensic Validation
  • Asphalt Pavements
2026

Under Review

Cross-Modality Laboratory and Machine Learning Assessment of Stone Mastic Asphalt with Construction and Demolition Waste

Burhan Showkat, Waqas Rafiq, Suleiman Abdulrahman, Ali Mohammed Babalghaith, Fahad Fardan Alqahtani, Syed Masiur Rahman, and Mohammed Al-Osta. Under review in International Journal of Pavement Research and Technology.

  • Machine Learning
  • Stone Mastic Asphalt
  • Construction and Demolition Waste

Contact and Collaboration

I welcome collaborations that connect fundamental material behaviour with practical infrastructure decisions.

01 Infrastructure resilience

Hazard response, recovery, and decisions from pavement sections to corridors.

02 Pavement-material mechanics

Rheology, moisture damage, recycling, durability, and reflective cracking.

03 Research software and data

Transparent analysis, validation, and deployable engineering tools.

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