Last August, an algal biomass production plant suffered a catastrophic collapse that left 12 injured and millions in losses. Initial hypotheses pointed to an overload on the roof, but the geometry of the collapse suggested more complex structural failures. At Foro3D, we have reconstructed the incident using volumetric modeling to understand the failure dynamics and debris propagation, offering a key tool for risk prevention in similar infrastructures.
Parametric simulation of fatigue and corrosion in reinforced concrete structures 🏗️
For the analysis, we started from the original plant blueprints and generated a digital twin with PBR textures that replicated the pre-disaster state. We implemented a rigid and soft body dynamics solver to simulate three scenarios: cyclic fatigue in the main beams, accelerated corrosion in the roof anchors, and overload from algal sediment accumulation in the cultivation tanks. The results showed that the combination of corrosion at critical joints and a point load from faulty maintenance generated a domino effect: the failure of a central beam caused the torsion of the metal framework and the cascading collapse of the structure, throwing debris within a 40-meter radius. The volumetric comparison between the pre-event model and the post-incident state allowed quantifying mass displacement and validating the progressive failure hypothesis.
Lessons for the design of industrial infrastructures in humid environments 💧
This simulation not only confirms the importance of inspection protocols in corrosive environments, but also reveals a collapse pattern that could be repeated in other biological treatment plants. The 3D model allows engineers to visualize blind spots in the original design, such as the lack of stiffeners in joints exposed to constant humidity. At Foro3D, we believe that digital forensic reconstruction should be a standard in industrial accident investigation, because understanding how a structure collapses is the first step to preventing it from happening again.
How can a progressive structural collapse be differentiated from a sudden failure in an algal biomass plant through 3D model analysis to determine the root cause of the accident
(PS: Simulating catastrophes is fun until the computer melts down and you are the catastrophe.)