The Chenab Rail Bridge in Jammu and Kashmir is the world’s highest railway arch bridge. It took over 20 years to build due to tough challenges like steep mountains, deep valleys and difficult weather. To make this dream come true, many expert teams from India and abroad worked together. This article explains who built this amazing bridge and how they did it.
The area where the Chenab Bridge stands is surrounded by the Himalayas. There were no proper roads. So, the project team had to use horses and mules to move people and materials in the early days. Engineers also walked on foot to reach the site.
Building the bridge without stopping the Chenab River’s flow was one of the biggest challenges. Also, bad weather, landslides and legal problems made the work harder. But the teams never gave up.
The government approved the Chenab bridge in 2003. However, because of the region’s rough terrain and security concerns, the work took more than 20 years. Still, the team’s hard work paid off and the bridge finally opened in 2025.
Several Indian companies and institutes helped in designing and building the bridge:
Some international companies also joined hands with Indian teams:
The Chenab Rail Bridge is not only strong but also smartly designed. It can handle:
It has a life of 120 years and allows trains to run at speeds up to 100 km/h. Even if one pillar is damaged, trains can still move slowly and safely.
Haryana is a well-developed state with a strong railway network that connects many important cities.…
India’s largest airline, IndiGo, has witnessed widespread flight cancellations and delays, affecting thousands of travellers…
The world is entering a new technological era — one where quantum computing, quantum communication…
The World Meteorological Organization (WMO) has issued its latest ENSO (El Niño–Southern Oscillation) Update, predicting…
Marking its 25th anniversary, IFFCO-TOKIO General Insurance Company (GIC) announced a new initiative aimed at…
New York-based AI company Runway has launched Gen-4.5, its most advanced text-to-video generation model to…