Dams are critical infra-structures whose their failure could leads to high economic and social
consequences. For this reason, application of quantitative risk analysis has gained …

Dynamic monitoring data plays an essential role in the structural health monitoring of dams.
This study presents a surrogate-assisted stochastic optimization inversion (SASOI) …

Inverse analysis by finite element model (FEM) based on measured displacement data is a
popular approach for parameter identification of concrete dams. FEM-based inverse …

Uncertainty quantification is an inseparable part of risk assessment in dam engineering.
Many probabilistic methods have been developed to deal with random nature of the input …

Uncertainties such as material randomness, manufacturing anomalies, and external loading
play an important role in the design of engineering structures. Therefore, reliability-based …

Uncertainty quantification (UQ) due to seismic ground motions variability is an important task
in risk-informed condition assessment of infrastructures. Since performing multiple dynamic …

Probabilistic seismic demand models are widely used for structures to establish a relation
between the engineering demand parameter (EDP) and ground motion intensity measures …

Sensitivity analysis is a crucial step in computational mechanics and earthquake
engineering. Sensitivity analysis of a model (either numerical or physical) aims at …

Following a comprehensive literature survey, this paper will first address the theoretical
underpinnings of stochastic modeling. An algorithm to model arch dam inhomogeneity in …

This paper develops an efficient approach for safety factor-based design and reliability-
based design of tunnel face support pressure by constructing a surrogate model to predict …