An RF-PCE Hybrid Surrogate Model for Sensitivity Analysis of Dams

Hariri-Ardebili, Mohammad Amin; Mahdavi, Golsa; Abdollahi, Azam; Amini, Ali

doi:10.3390/w13030302

Cited by 33 publications

(11 citation statements)

References 42 publications

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“…Although significant developments have been achieved in this field, seismic capacity assessment must be carried out based on sensitive analyses of results and engineering judgement [28,[30][31][32], with a view to meet the requirements and the performance criteria defined in the guidelines of the International Commission on Large Dams (ICOLD) and in the regulations of each country. This section presents an overview on several topics of interest for seismic safety of concrete dams.…”

Section: On the Seismic Safety Of Concrete Damsmentioning

confidence: 99%

Seismic Safety Assessment of Arch Dams Using an ETA-Based Method with Control of Tensile and Compressive Damage

Alegre

Oliveira

Mendes

et al. 2022

Water

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The seismic safety assessment of large concrete dams remains a significant challenge in dam engineering, as it requires appropriate analysis methods, modern performance criteria, and advanced numerical models to simulate the dam seismic behavior. This paper presents a method for seismic safety assessment of arch dams based on Endurance Time Analysis (ETA), using tensile and compressive damage results from a robust formulation for seismic analysis considering joint opening/sliding and concrete non-linear behavior (finite element program DamDySSA, under development in LNEC). The seismic performance is evaluated by controlling the evolution of the damage state of the dam, according to predefined performance criteria, to estimate acceleration endurance limits for tensile and compressive damage. These acceleration limits are compared, respectively, with the peak ground accelerations prescribed for the Operating Basis Earthquake (OBE) and Safety Evaluation Earthquake (SEE), aiming to evaluate the dam seismic performance relative to both earthquake levels efficiently, using a single intensifying acceleration time history. The ETA-based method is applied to the cases of Cabril Dam (132 m-high) and Cahora Bassa Dam (170 m-high), confirming its usefulness for future seismic safety studies, while the potential of DamDySSA for non-linear seismic analysis of arch dams is highlighted.

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Section: On the Seismic Safety Of Concrete Damsmentioning

confidence: 99%

Seismic Safety Assessment of Arch Dams Using an ETA-Based Method with Control of Tensile and Compressive Damage

Alegre

Oliveira

Mendes

et al. 2022

Water

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“…This ability can be measured using the probabilistic theory that it will perform the function for which it was designed under given conditions and for a given duration. Structural reliability is formulated in terms of a vector of structural system random variables, X = {X1, X2, ..., Xn}, where {X1, X2, ..., Xn} are the basic random variables which can describe loads, structural system dimensions, materials and these characteristics and properties of the cross-section [18,19]. A limit state function, g (X) = 0 describes the operation of the system in terms of the basic random variables X, where S is the strength of the material making up the structure and L is the stresses (loads) exerted on the structure [20].…”

Section: Structural Reliabilitymentioning

confidence: 99%

Study of Structural Stability of a Concrete Gravity Dam Using a Reliability Approach

Kerkar

Mihoubi

2022

Frattura Ed Integrità Strutturale

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The safety of dams is a priority at the international level, based on a large amount of data from a dam-reservoir allows analysts to make optimization on its structural stability, the latter is based on the estimation of the probability of failure from the effects of stress and resistance acting on the dam-reservoir system. This investigation is to establish a methodology in order to optimize the safety of a concrete gravity dam in operation by carrying out a risk analysis which includes the identification of the sources of danger in terms of scenarios that can occur due to a failure on the dam-reservoir system on an implication of natural hazards (floods, earthquakes) and technical accidents such as malfunction of a spillway gate, drain valve, drainage system or important silting. Reliability methods provide a basis for the probabilistic assessment of the structural safety of a dam. They make it possible to take into account in a probabilistic context, the uncertainties in the data associated with the calculation parameters used in the justifications of structural stability and make it possible to assess as closely as possible the intrinsic safety of a concrete gravity dam.

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“…Recently, different ML and surrogate modeling algorithms have been applied in various hydraulic engineering problems such as dams, sedimentation, spillway, etc. Bhattacharya et al, 2007;Hariri-Ardebili et al, 2021;Roushangar et al, 2014;Torres-Rua et al, 2012). It is recognized that an empirical relationship for discharge coefficient based on experimental or hydraulic models faces some limitations regarding hydraulic and geometric parameters (Ebtehaj et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Accurate discharge coefficient prediction of streamlined weirs by coupling linear regression and deep convolutional gated recurrent unit

Chen

Sharifrazi

Liang

et al. 2022

Engineering Applications of Computational Fluid Mechanics

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Streamlined weirs, as a nature-inspired type of weirs, has gained tremendous attention among hydraulic engineers mainly due to their well-known performance with high discharge coefficient. Computational fluid dynamic (CDF) is considered as a robust tool to predict discharge coefficient. To bypass the computational cost of CFD-based assessment, the present study proposes data-driven modelling techniques, as an alternative to CFD simulation, to predict discharge coefficient based on an experimental dataset. To this end, after splitting the dataset by k-fold cross-validation technique, the performance assessment of classical and hybrid machine-deep learning (ML-DL) algorithms is undertaken. Amongst ML techniques, linear regression (LR), random forest (RF), support vector machine (SVM), k-nearest neighbours (KNN), and decision tree (DT) algorithms are studied . In the context of DL, long short-term memory (LSTM), convolutional neural network (CNN), gated recurrent unit (GRU) and their hybrid forms such as LSTM-GRU, CNN-LSTM and CNN-GRU techniques are compared by different error metrics. It is found that the proposed three-layer hierarchical DL algorithm consisting of a convolutional layer coupled with two subsequent GRU levels, which is also hybridized by LR method (i.e., LR-CGRU), leads to lower error metrics. This paper paves the way for data-driven modelling of streamlined weirs.

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An RF-PCE Hybrid Surrogate Model for Sensitivity Analysis of Dams

Cited by 33 publications

References 42 publications

Seismic Safety Assessment of Arch Dams Using an ETA-Based Method with Control of Tensile and Compressive Damage

Seismic Safety Assessment of Arch Dams Using an ETA-Based Method with Control of Tensile and Compressive Damage

Study of Structural Stability of a Concrete Gravity Dam Using a Reliability Approach

Accurate discharge coefficient prediction of streamlined weirs by coupling linear regression and deep convolutional gated recurrent unit

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