To date, data mining (DM) techniques, ie artificial intelligence, machine learning, and
statistical methods have been utilized in a remarkable number of structural health monitoring …

Although civil engineering problems are often characterized by significant levels of
complexity, they are generally approached and solved by combining several practitioners' …

This review presents developed models, theory, and numerical methods for structural
optimization of trusses with discrete design variables in the period 1968–2014. The …

Civil structures are usually prone to damage during their service life and it leads them to loss
their serviceability and safety. Thus, damage assessment can guarantee the integrity of …

An inverse strategy is developed for identifying the parameters of the hysteretic
phenomenological constitutive model presented in Vaiana et al.(2019) and belonging to a …

Optimization is a branch of mathematics concerned with obtaining the conditions that give
the extreme value of a function, or many functions, under given circumstances. In other …

Slime mould algorithm (SMA) is a novel metaheuristic algorithm with good performance for
optimization problems, but it may encounter premature or low accuracy in complex …

In this paper, two variants of the particle swarm optimization (PSO) algorithm are employed
for the identification of Bouc–Wen hysteretic systems. The first variant is simple while the …

Truss sizing optimization is one of the structural design problems that are most difficult to
solve, since it may have a nonconvex feasible region in cases of statically indeterminate …

This paper develops a method based on genetic algorithm (GA) for reliability-based
optimization (RBO) of structures through a software application. This method employs GA as …