In this paper, a novel two-stage structural damage detection method using modal flexibility
and strain energy-based index (MFSEBI) and modified teaching–learning-based …

In this study, the performance of an efficient two-stage methodology which is applied in a
damage detection system using a surrogate model of the structure has been investigated. In …

This paper presents a combined method based on optimized neural networks and
optimization algorithms to solve structural optimization problems. The main idea is to utilize …

Seepage flow measurement is an important behavior indicator when providing information
about dam performance. The main objective of this study is to analyze seepage by means of …

Prediction of Gauge Readings of Filtration in Arch Dams using Artificial Neural Networks SciELO
- Scientific Electronic Library Online vol.5 número3 Caracterización de los flujos de agua …

Las redes neuronales artificiales son estructuras matemáticas inspiradas en el cerebro de
los seres vivos, capaces de generar modelos numéricos no lineales de calibración …

In this research, a method based on the optimal neural network and pattern search
optimization algorithm is presented to solve reliability-based design optimization problems …

La Hidrología es una ciencia esencial en Ingeniería del Agua, la cual abarca un amplio
abanico de temas de investigación que engloban los diversos estadios del agua en el ciclo …

The triple friction pendulum isolator is adaptable and can exhibit variable stiffness and
dam** in response to different earthquakes. Therefore, the need to optimize the effective …

In this research, a method based on the optimal neural network and pattern search
optimization algorithm is presented to solve reliabilitybased design optimization problems …