Mexican Researcher Develops Algorithm to Detect Hidden Structural Damage in Buildings

Ramsés Rodríguez Rocha, a professor at the National Polytechnic Institute's (IPN) Higher School of Engineering and Architecture (ESIA) in Mexico City, has developed an innovative algorithm designed to detect hidden structural damage in buildings, bridges, and other civil works. Named 'Rigideces Base,' this tool is particularly vital for a country like Mexico, which experiences high seismic activity, aiming to significantly reduce human and economic risks associated with structural failures.

The algorithm functions by utilizing accelerometers installed at various points within a structure. These sensors capture dynamic measurements, which are then processed using Matlab. The 'Rigideces Base' algorithm compares the structure's current response to its initial, undamaged state, thereby identifying elements that have suffered damage and quantifying the extent of the loss in rigidity.

Rodríguez explained that the system can provide crucial guidance on whether a building requires reinforcement or, in severe cases, demolition. This capability is essential for preventing loss of life and mitigating economic repercussions. He recommends applying the algorithm to buildings older than 15 years, structures that have endured high-intensity earthquakes, or those that have undergone a change in usage.

Mexico is highly susceptible to seismic activity due to the complex interaction of tectonic plates, including the Cocos, Rivera, North America, Pacific, and Caribbean plates. This geological setting results in frequent tremors across the central, southern, and western parts of the country. While most earthquakes are low in magnitude, destructive events have historically caused thousands of deaths and extensive damage to housing, schools, hospitals, infrastructure, and cultural heritage. The algorithm has been registered with the Public Registry of Copyright.