AI · Condition Assessment · Retrofit Planning

Structural condition assessment,
done end-to-end.

InfraDocT combines AI-powered image analysis with codified structural workflows — from visual inspection through NDT planning to repair recommendations. Built for Indian standards and international codes.

Start an assessment → Explore modules
On-site UPV testing on a concrete column
UPV mean 3.87 km/s
Test Region CG-H · Good
Built on IS 456:2000 IS 13311 Pt 1 & 2 IS 516 Pt 4 & 5 IS 800 · IRC:SP:35 ACI PRC-ITG-11-24 BS EN 13791:2019 ASTM C876-15
Full-lifecycle approach

From first walk-through to repair BOQ, on one platform.

A five-stage workflow that mirrors how structural condition assessment actually happens on site — with the codal check-points baked in.

01
Inspect
Grid-based visual survey with AI image analysis; distress mapped to element, storey and zone.
02
Diagnose
Classify inspected elements into Test Regions by grade, exposure and observed severity.
03
Analyze
Plan NDT per ACI PRC-ITG-11-24 · run UPV, Rebound, Cover, HCP · interpret against code.
04
Repair
Auto-generated inspection report with prioritised recommendations and BOQ per IS 13935 / ACI 562.
05
Retrofit
Category-wise retrofit strategies tied to observed severity and corrosion stage.
Assessment Modules

Three purpose-built workflows for concrete, bridges and steel.

Each module ships with the domain-specific inspection taxonomy, NDT planning rules and code references native to that structure type.

Concrete Buildings

Condition Assessment of Concrete Buildings

End-to-end 9-step concrete condition workflow — from visual inspection and zoning through statistical NDT sampling to AI-generated inspection reports and repair BOQ.

  • Grid-based structural layout planner with per-storey grade + batch tagging
  • Visual distress mapping with AI image analysis
  • NDT planning with per-region core-count rules (ACI PRC-ITG-11-24 · IS 516 Pt 4)
  • Mode-driven interpretation for Construction Audit vs Condition Assessment
  • Category-wise repair recommendations tied to IS 13935 / ACI 562
Open module →
Bridge Condition Assessment

AI-powered bridge inspection for concrete, steel & mixed construction.

Detects defects on piers, abutments, bearings, girders and deck. Severity graded per IRC:SP:35 with a damage visualization diagram on the elevation.

  • Multi-material: concrete, steel, mixed construction
  • Bridge component identification per IRC nomenclature
  • Severity grading per IRC:SP:35 (Guidelines for Inspection & Maintenance of Bridges)
  • Damage visualization overlaid on elevation
Open module →
Steel Structures

Steel Structure Assessment for trusses, portal frames & space frames.

9-step steel workflow — visual inspection, steel-specific NDT (UT / MT / PT / RT / Thickness Gauge), IS 800 / AISC 360 interpretation and repair recommendations.

  • Truss / Portal Frame / Space Frame workflows
  • Steel-specific defect taxonomy — corrosion, buckling, weld, fatigue
  • UT / MT / PT / RT / Thickness Gauge NDT planning
  • IS 800 · IS 875 · IS 1893 · AISC 360 code references
  • AI-annotated imagery with assessment report
Open module →
AI Capabilities

Vision models trained on distressed concrete.

Image analysis, distress detection, and narrative report generation — all built specifically for structural condition assessment and calibrated against Indian construction practice.

  • Distress detection: cracks, spalling, honeycombing, rebar exposure, corrosion staining
  • AI-generated inspection reports with prioritised recommendations
  • Code-anchored interpretation switches by assessment type (audit vs condition)
  • Multi-image analysis with element + storey attribution
9
structured steps
from first walk-through
to Final Report
Standards & Codes

Anchored to the codes engineers already work with.

Every interpretation, threshold and report clause cites its governing code — including the newer IS 516 (Part 5) that supersedes IS 13311 for new-works UPV testing.

IS 456:2000
Plain and Reinforced Concrete — Code of Practice
IS 13311 Pt 1
UPV — Non-destructive testing (existing)
IS 13311 Pt 2
Rebound Hammer — Non-destructive testing (existing)
IS 516 Pt 4
Testing of hardened concrete — Cores
IS 516 Pt 5/Sec 1
UPV — new-works acceptance (2018)
IS 516 Pt 5/Sec 4
Rebound Hammer — new-works acceptance (2020)
IS 800:2007
General Construction in Steel — Code of Practice
IS 13920:2016
Ductile Design and Detailing of RC Structures
IRC:SP:35
Guidelines for Inspection and Maintenance of Bridges
ACI PRC-ITG-11-24
Statistical Sampling for In-Situ NDT
BS EN 13791:2019
Characteristic Compressive Strength of Existing Concrete
ASTM C876-15
Corrosion Potentials of Uncoated Reinforcing Steel
3
Structure types supported
Concrete · Bridges · Steel
12+
Codes referenced across modules
IS · IRC · ACI · BS EN · ASTM
9
Structured workflow steps
Inspection through Final Report
6
Researchers behind the platform
IIT Roorkee · IIT Delhi · NIT Calicut
The Team

Built by structural engineers & AI researchers.

Faculty and researchers from IIT Roorkee, IIT Delhi and NIT Calicut — combining decades of structural assessment practice with modern machine learning.

Prof. Umesh Kumar Sharma

Prof. Umesh Kumar Sharma

Professor (HAG Scale)
Civil Engineering, IIT Roorkee

Repair & retrofitting, fire engineering, corrosion effects on RC. 96+ journal publications with 17 PhD scholars.

Prof. Dipti Ranjan Sahoo

Prof. Dipti Ranjan Sahoo

Professor & Dean (Infrastructure)
Civil Engineering, IIT Delhi

Earthquake-resistant design, hybrid simulation, passive vibration control, structural fire engineering. 250+ research articles, 5 patents.

Dr. Sujith Mangalathu

Dr. Sujith Mangalathu

VAJRA Fellow
NIT Calicut

AI/ML for structural engineering, seismic risk assessment, infrastructure resilience. Lead developer of the assessment platform.

Dr. Robin Davis

Dr. Robin Davis

Assistant Professor
NIT Calicut

Structural health monitoring, damage detection, condition assessment of RC using advanced sensing technologies.

Dr. P. C. Ashwin Kumar

Dr. P. C. Ashwin Kumar

Assistant Professor
IIT Roorkee

Structural assessment, retrofitting strategies, computational modelling for aging infrastructure.

Dr. Muhamed Safeer Pandikkadavath

Dr. Muhamed Safeer Pandikkadavath

Assistant Professor
NIT Calicut

Seismic performance evaluation, nonlinear analysis, vulnerability assessment of RC structures.

About InfraDocT

Standards-first, built by engineers for engineers.

InfraDocT is a professional platform for structural condition assessment. Our tools combine AI-powered image analysis with codified structural assessment workflows to help you conduct thorough, standards-compliant inspections — from visual survey through NDT planning to repair recommendations. Designed for Indian standards (IS 456, IS 13311, IS 516) with parallel support for ACI, BS EN and ASTM references where the project calls for them.

Ready to start your first assessment?

Sign in and open the module you need — no setup, no separate installs. All three modules share one login.

Get started → Compare modules