Intelligent Computational Schemes for Designing more Seismic Damage-Tolerant Structures

Discussion of “State-of-the-Art Review on Seismic Design of Steel Structures” by Chia-Ming Uang and Michel Bruneau

“…Any computer program capable of considering different types of nonlinearity and dynamic loading applied in the time domain can be used. The method proposed by Azizsoltani and Haldar (2017) can estimate the risk associated with severely, moderately, and not damaged structural elements in the 13-story steel building caused by the Northridge earthquake of 1994, as observed and reported by Uang et al (1997). If damage-prone structural elements can be identified during the design process, several remedial actions can be taken to mitigate the damage scenarios, making the steel structure much more seismic load-tolerant.…”

“…However, they failed to define what is low damage and the associated risks. Azizsoltani and Haldar (2017) and Azizsoltani et al (2018) have been working to address some of these issues in a study supported by the National Science Foundation. Gaxiola-Camacho et al (2017a, b) developed a reliability method for implementation of PBSD of structures.…”

Kriging Metamodeling-Based Monte Carlo Simulation for Improved Seismic Fragility Analysis of Structures

“…RSM[Ghosh and Chakraborty, 2017a;2018b], Artificial Neural Network (ANN)[Lagaros and Fragiadakis, 2007, of structures. For example,Gidaris et al [2015] proposed a metamodel framework based on a Kriging surrogate model to approximate the median and standard deviation (SD) of seismic demand for analytical SFA of structures Azizsoltani and Haldar [2017]. demonstrated significant improvement of basic RSM by using advanced factorial design and Kriging approach for improved seismic damage-tolerant design of structures Zhang and Wu [2017].…”