Abstract The stability evaluation of the dams subjected to seismic excitations is really very complex as earthquake response concrete gravity dam depends upon its connection joints with foundation rock. This study presents considering welded contact and friction along dam-foundation rock interface. Friction provided using elements. Two-dimensional finite element model Oued Fodda dam, located in...

When applying reliability analysis to the monitoring of structural health, it is very important that gross errors–which affect prediction accuracy–are included within information. An approach using errors identification and a dam safety model for deformation data concrete dams proposed in this paper. It can solve problems strong nonlinearity difficulty identifying eliminating dams. This new met...

This study presents a least squares support vector machine (LSSVM) based displacement prediction model for health monitoring of concrete dams. LSSVM is a novel machine learning technique. The model can produce similar good generalization performance and learns faster than the basic support vector machines in engineering problems. The advantages such as high prediction accuracy, fast training sp...