Artificial intelligence in civil engineering
Artificial intelligence is a branch of computer science, involved in the research, design, and
application of intelligent computer. Traditional methods for modeling and optimizing complex …
application of intelligent computer. Traditional methods for modeling and optimizing complex …
Particle swarm optimization with sequential niche technique for dynamic finite element model updating
Due to uncertainties associated with material properties, structural geometry, boundary
conditions, and connectivity of structural parts as well as inherent simplifying assumptions in …
conditions, and connectivity of structural parts as well as inherent simplifying assumptions in …
Performance of swarm intelligence based chaotic meta-heuristic algorithms in civil structural health monitoring
Abstract Whale Optimization Algorithm, Eagle Perching Optimization, Dragonfly Algorithm,
Flower Pollination Algorithm, Bird Swarm Algorithm (BSA) and Firefly Algorithm (FA), are few …
Flower Pollination Algorithm, Bird Swarm Algorithm (BSA) and Firefly Algorithm (FA), are few …
Model updating using genetic algorithms with sequential niche technique
Structural model updating is an optimisation problem where parameters that minimise the
errors between the model and the actual structure are sought. However, multiple solutions …
errors between the model and the actual structure are sought. However, multiple solutions …
Surrogate-assisted finite element model updating for detecting scour depths in a continuous bridge
In this study, the Kriging surrogate-assisted method is proposed to improve the
computational efficiency in finite element model updating (FEMU) based scour depth …
computational efficiency in finite element model updating (FEMU) based scour depth …
A new multi-objective approach to finite element model updating
The single objective function (SOF) has been employed for the optimization process in the
conventional finite element (FE) model updating. The SOF balances the residual of multiple …
conventional finite element (FE) model updating. The SOF balances the residual of multiple …
Enhanced particle swarm optimization for size and shape optimization of truss structures
H Cao, X Qian, Z Chen, H Zhu - Engineering Optimization, 2017 - Taylor & Francis
This article presents an enhanced particle swarm optimization (EPSO) algorithm for size and
shape optimization of truss structures. The proposed EPSO introduces a particle …
shape optimization of truss structures. The proposed EPSO introduces a particle …
Airport asphalt pavement health monitoring system for mechanical model updating and distress evaluation under realistic random aircraft loads
X Ma, Z Dong, F Chen, H **ang, C Cao… - Construction and Building …, 2019 - Elsevier
The performance of airport asphalt pavement gradually deteriorates under aircraft load
repetitions. In this study, a framework of airport asphalt pavement health monitoring system …
repetitions. In this study, a framework of airport asphalt pavement health monitoring system …
A multi-objective optimization approach for FE model updating based on a selection criterion of the preferred Pareto-optimal solution
F Ponsi, E Bassoli, L Vincenzi - Structures, 2021 - Elsevier
Multi-objectives optimization problems are often solved constructing the Pareto front and
applying a decision-making strategy to select the preferred solution among the Pareto …
applying a decision-making strategy to select the preferred solution among the Pareto …
Finite element model updating using simulated annealing hybridized with unscented Kalman filter
This paper proposes a method for finite element (FE) model updating of civil structures. The
method is a hybrid global optimization algorithm combining simulated annealing (SA) with …
method is a hybrid global optimization algorithm combining simulated annealing (SA) with …