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 …

A robust multi-step TBM attitude prediction approach named convolutional gated-recurrent-
unit neural network (C-GRU) is proposed in this research and the random balance design …

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 …

Roller compacted concrete (RCC) often remains in a damage state as a result of improper
vibrating compaction control, which makes it more susceptible to the action of freezesingle …

Assessing the efficacy of aircraft and technologies is a crucial step in the aeronautic product
development. Due to their prospective nature, such analyses are subject to various …

Deterministic analysis does not provide a comprehensive model for concrete dam response
under multi-hazard risk. Thus, the use of probabilistic approach is usually recommended …

This paper proposes a systematic approach for the seismic design of 2D concrete dams. As
opposed to the traditional design method which does not optimize the dam cross-section …

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 …

Due to complex nature of nearly all infrastructures (and more specifically concrete dams),
the uncertainty quantification is an inseparable part of risk assessment. Uncertainties might …