Structural health monitoring (SHM) has gained importance for safety requirements of critical structures including hospitals, high-rise buildings, bridges, dams, tunnels, wind turbines, etc. Although these structures are designed and built to operate safely under anticipated static and dynamic loading conditions, deterioration and damage can occur over their lifetime. Extreme events such as earthquakes, floods, and hurricanes are the most prevailing source of failure. If damage conditions are not identified rapidly, they may leave the structure vulnerable to further damage. Early diagnosis of damage is also cost-effective, as the cost of fixing minor damage is generally lower than that of major damage.
QuakeLogic’s cloud-based SHM system powered by artificial intelligence (AI) and machine learning utilizes sensor data to create unique risk management solutions. QuakeLogic provides meaningful and easy-to-understand information immediately after an event such as an earthquake. This timely and critical information helps stakeholders such as government authorities, engineers, emergency responders, disaster managers, and operators, plan responses and solutions that make people and their structure safer.
Dr. Kalkan earned his B.Sc. degree in Civil Engineering and first M.Sc. degrees in Engineering Seismology and Structural Engineering. His doctorate degree is in Structural and Geotechnical Engineering from UC Davis. His postdoctoral studies were conducted at UC Berkeley. Dr. Kalkan was the recipient of the 2008 ASCE Raymond C. Reese Research Prize in Structural Engineering. He has been also granted the 2008 EERI-FEMA NEHRP Professional Fellowship in Earthquake Hazard Reduction. He authored and co-authored more than 130 publications. Dr. Kalkan served as a guest editor of five special journal issues, and he is currently acting as an associate editor for the Journal of Structural Engineering, Engineering Structures, and Seismological Research Letters.
Contact Diane Westerink for Zoom link.