Bentley Systems Inspires Future Engineers Through Digital Bridge Design Technology

As the U.S. transportation industry faces a shortage of civil engineers, Bentley Systems is helping introduce young students to engineering careers through its long-running sponsorship of the AASHTO Bridge Challenge.

The competition gives middle and high school students hands-on experience with real engineering workflows, from research and design to testing and presentation. Using Bentley’s MicroStation software and ModelSmart, students create 3D bridge models, analyze their designs digitally, and understand how structures perform before building physical models.

Future engineers puts their model bridge through one of the rigorous tests during the 2026 AASHTO Bridge Challenge.

Bentley provides free engineering software to participating teams, allowing students to learn professional design skills used in real-world infrastructure projects. The software helps students transform 2D drawings into detailed 3D models, improve visualization, test ideas, and create more accurate designs.

Eighteen 18 elite middle and high school teams presented their bridge models during 2026 AASHTO Bridge Challenge in Savannah, GA.

The challenge shows students how modern civil engineers use digital technology to solve problems and develop safer, more efficient infrastructure. By supporting STEM education and providing access to industry tools, Bentley Systems aims to prepare the next generation of engineers and help address the growing workforce gap in transportation and infrastructure.

- Video Advertisement -

Related Post

Bentley announces the Bentley Technology Summit to be held in Toronto, Canada

As urbanization accelerates and the demands on global infrastructure reach unprecedented heights, the industry stands at a major turning point. From managing complex subterranean geology for major metropolitan transit lines—like Vienna’s ambitious metro expansion using advanced 3D subsurface models—to navigating new paradigms in artificial intelligence and connected data, modern civil engineering is undergoing a massive […]

How a 3D Underground Model is Shaping Vienna’s Transit Future

As Vienna’s population continues to surge and tourism hits record-breaking highs, the Austrian capital is looking downward to secure its future. The city is currently boring a brand-new metro line through some of the trickiest, most varied geological terrain in Europe—guided by an innovative 3D subsurface model that began, fittingly, on a rooftop. A Legacy […]

Bentley’s Year in Infrastructure Awards Opens in Singapore With a New Format, New Host, and 36 Finalists

The people shaping the world’s infrastructure deserve an experience as extraordinary as the work they do. This year, Bentley built one. Bentley’s Year in Infrastructure Awards opened in Singapore with a new look. Now in its 22nd year, the event often called the “Oscars of Infrastructure” has a new host, a new keynote format, and […]

PLAXIS 2D Helps Model Madrid’s Traditional Tunnel Construction Method

Engineers have developed a methodology using PLAXIS 2D to simulate tunnels built with the Traditional Method of Madrid (TMM), offering a faster alternative to complex three-dimensional analyses. Used in the Madrid Metro since 1917, the TMM divides tunnel excavation into small sections, typically less than 5 square meters. Each section is temporarily supported with timber […]

How Bentley Software Is Helping Keep Mumbai’s Massive Sea Bridge on Track

Mumbai’s Versova-Bandra Sea Link (VBSL), a 17.17-kilometer, eight-lane bridge set to become India’s second-longest, is being built with the help of digital project management software designed to keep a hugely complex construction effort organized and on schedule. Once finished, the bridge will connect Versova to Bandra and is expected to cut commute times sharply for […]

Automated Calibration Streamlines Travel Demand Modeling

Automated calibration is helping transportation planners make travel demand modeling faster, more efficient and responsive to changing travel patterns. Traditionally, calibrating travel demand models required months of manual adjustments to ensure model results matched real-world data such as traffic counts, transit ridership and household travel surveys. Automated calibration simplifies the process by using optimization algorithms […]