AN ADVANCED HYBRID SIMULATION MODEL BASED ON PHENOMENOLOGICAL AND ARTIFICIAL INTELLIGENCE APPROACHES TO PREDICT THE RESPONSE OF STRUCTURES UNDER SEISMIC LOADS

摘要

Hybrid simulation technology is being widely used in the field of structural engineering for testing of structural systems to study their dynamic behavior under seismic loading. It involves coupling of experimental laboratory testing of complex parts of a system with computational models of the remaining parts of the system whose behavior can be simulated with confidence in a finite element program. However, to conduct hybrid testing of even the simplest of structural systems, the number of experimental tests required exceed the capabilities of any single laboratory. The advanced hybrid simulation model removes this current limitation of hybrid simulation technology by engaging a single experimental module per type of sub-structure that is complex enough to require experimental testing, and predicting the hysteretic response of all other similar sub-structures present in the entire structural system using phenomenology and artificial intelligence. This, coupled with the response of computational models of the rest of the system at every increment, provides highly realistic and economical results by drastically cutting down the number of experimental tests required for hybrid testing.