Designing building structures presents various challenges, including inefficient design
processes, limited data reuse, and the underutilization of previous design experience …

Most current Artificial Neural Network (ANN) models are based on highly simplified brain
dynamics. They have been used as powerful computational tools to solve complex pattern …

Recent advances in structural technology require greater accuracy, efficiency and speed in
design of structural systems. It is therefore not surprising that new methods have been …

This study aims to analyze the sensitivity and robustness of two Artificial Intelligence (AI)
techniques, namely Gaussian Process Regression (GPR) with five different kernels …

Most structural optimization methods are based on mathematical algorithms that require
substantial gradient information. The selection of the starting values is also important to …

Modal strain energy (MSE) is a sensitive physical property that can be utilized as a damage
index in structural health monitoring. Inverse problem solving‐based approaches using …

In recent years the Probabilistic Neural Network (PPN) has been used in a large number of
applications due to its simplicity and efficiency. PNN assigns the test data to the class with …

Abstract Colliding Bodies Optimization (CBO) is a new multi-agent algorithm inspired by a
collision between two objects in one-dimension. Each agent is modeled as a body with a …

This paper and a companion paper present a state-of-the-art review of significant research
performed in the area of smart structures. The focus of the review is journal articles …

This paper presents a heuristic particle swarm optimizer (HPSO) for optimum design of pin
connected structures. The algorithm is based on the particle swarm optimizer with passive …