Nowadays, Alkali Aggregate Reaction is considered as one of the most dangerous weak points of concrete and its occurrence has been widely reported in various structures. In the current study, a program is developed for predicting and examining the effects of mentioned reaction on the three-dimensional analysis of concrete structures such as arch dams. In this regard, a program provided for dam ...

During the first filling, reservoir is gradually raised in multiple stages. At each stage, filling paused to allow adequate time for monitoring and evaluating performance of dam its foundation. The analysis monitored behavior assessment security conditions performed by comparing values measured system installed with predicted numerical models representing structural behavior, material propertie...

Considering the strong non-linear time-varying behavior of dam deformation, a novel prediction model, called Levy flight-based grey wolf optimizer optimized support vector regression (LGWO-SVR), is proposed to forecast displacements hydropower dams. In used create whereas algorithm employed search penalty and kernel parameters for SVR. this work, multiple-arch was selected as case study. To val...

In this paper, Endurance Time Analysis (ETA) method which is a new time-history based dynamic pushover procedure is introduced and its application in linear analysis of concrete arch dams is investigated. In this method the structure is subjected to gradually intensifying acceleration functions and its performance is evaluated based on the length of the time duration that can satisfy required p...

The report illustrates the results of the activities carried out by the European Working Group. Four subjects were selected by the Group: "Regulatory Rules and/or Normal Practice" adopted in different Countries; "Analysis of Measurement Data", referring to recent relevant studies; "Numerical Modelling" to compute uplift pressures; "Clearing Of Drainage Systems". As far as regulatory rules are c...

The safety of existing dams is mainly ensured by the correct interpretation monitoring data recorded during whole lifetime these structures. In this context, an increasing number devices are being installed to provide more and frequent measurements. Several Machine Learning tools have emerged as possible alternatives traditional prediction approaches in recent years. Neural Networks shown abili...

The deformation properties of concrete arch dams are affected by the synergistic effects multiple factors, featuring strong, multidimensional spatialtemporal evolution and distribution characteristics. This paper proposes a zoned safety monitoring model for dam based on similarity optimization to evaluate state structures. First, clustering points at different locations an was performed using p...