Structural engineering is focused on the safe and efficient design of infrastructure. Projects
can range in size and complexity, many requiring massive amounts of materials and …

Conventional ground motion models have extensively been established worldwide based
on classical regression analysis of records. Alternatively, advanced nonparametric machine …

This study considers the optimum design of reinforced concrete combined footings. Analysis
and design procedures are developed based on the American Concrete Institute (ACI 318 …

Evolutionary computation (EC) is a widely used computational intelligence that facilitates the
formulation of a range of complex engineering problems. This study tackled two hybrid EC …

This paper investigates the performance of four multi-objective optimization algorithms,
namely non-dominated sorting genetic algorithm II (NSGA-II), multi-objective particle swarm …

In this study, two metaheuristic optimization algorithms are employed to estimate a mixed
model-based ground-motion model (GMM) with several variance components. Two …

Piano Key Weirs (PKWs) have recently been used as new or rehabilitation options in the
world because of their advantages in hydraulic performance and construction costs …

The estimation of the flow coefficient is a vital hydrological procedure that holds
considerable importance in flood prediction, water resource management, and flood …

In this study, we utilize two metaheuristic algorithms, particle swarm optimization, and
biogeography-based optimization, to select and scale ground motion (GM) records for use in …

Scour around bridge piers is a well-known threat to bridge stability worldwide. It can cause
losses in lives and the economy, especially during floods. Therefore, an artificial intelligence …