Project Overview
At Manohar International Airport, Goa, Translink was engaged to convert existing Pavement Classification Number (PCN) information into a comprehensive Pavement Condition Rating (PCR) for airside pavements.
The assignment focused on assessing pavement health using available structural evaluation records, and performance parameters to support compliance reporting and long-term maintenance planning for the airport operator.
Scope of Work
Airside Pavement Assessment
Project Area (Sqmt.)
6.7 Lakh
Client
GMR Goa International Airport Limited
Scope of Work
Airside Pavement Assessment
Project Area (Sqmt.)
6.7 Lakh
Client
GMR Goa International Airport Limited
Challenges
The key challenge lay in translating legacy PCN evaluation files—generated in non-standard formats and equipment-specific structures—into clean, compatible input datasets. Data gaps in supporting parameters such as subgrade strength, traffic categorisation, or layer configuration required careful reconciliation before computation.
The tight delivery timeline added further pressure to ensure accuracy and consistency across all pavement sections.
Solutions
Translink developed a structured data-conversion workflow that reorganised raw deflection measurements, validated supporting inputs, and aligned all parameters with modelling requirements. Iterative checks were carried out to ensure the integrity of structural values and compatibility of traffic and layer details.
Close coordination with the airport engineering team enabled quick clarification of missing inputs and smooth progression of the PCR computation process.
Impact
The assignment delivered a fully compliant and accurate PCR output within a compressed timeline, enabling the airport operator to meet its regulatory submission requirements without delay.
By leveraging existing data and eliminating the need for fresh testing, the project avoided unnecessary time and cost expenditure.
