A new class of seismic damage and performance indices for arch dams via ETA method

Hariri-Ardebili, Mohammad Amin; Furgani, Luca; Meghella, M.

doi:10.1016/j.engstruct.2015.11.021

Cited by 47 publications

(14 citation statements)

References 14 publications

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“…However, multiple indices can be considered, such as concrete cracking (and crushing), joint opening/sliding, and the dissipated energy during damage. Different researchers combined these indices with the damage index (DI) concept to present the expected damage in a more quantitative form [34][35][36][37]. This paper does not directly use the concept of DI for arch dams.…”

Section: Nonlinear Analysismentioning

confidence: 99%

Probabilistic Identification of Seismic Response Mechanism in a Class of Similar Arch Dams

Hariri-Ardebili

Heshmati²,

Boodagh

et al. 2019

Infrastructures

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Different numerical models have been proposed for seismic analysis of concrete dams by taking into account the nonlinear behavior of concrete and joints; interaction between the dam, foundation, and reservoir; and other seismic hazard considerations. Less focus, however, has been placed on the real seismic performance of the dams and their relative correlation. This paper investigates the linear and nonlinear seismic performance of two similar high arch dams with relatively different response mechanisms. The response correlation is performed from statistical and probabilistic points of view. Similarities and differences are highlighted, and the best practice to compare the responses in a class of dams is presented. It is found that some demand parameters and seismic intensity measures can reduce the dispersion of the results and increase the correlation. In general, the dam geometry has a direct relation with the deformation and spatial distribution of potential damaged area. However, it is not related to the localized damage at the most critical location. Moreover, the real crack pattern (from nonlinear analysis) is more discrete compared to the continuous overstressed/overstrained regions (from linear analysis).

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Section: Nonlinear Analysismentioning

confidence: 99%

Probabilistic Identification of Seismic Response Mechanism in a Class of Similar Arch Dams

Hariri-Ardebili

Heshmati²,

Boodagh

et al. 2019

Infrastructures

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“…In the field of uncertainty quantification, it is called the quantity of interest (QoI) [40]. Several dam-specific EDPs, DVs, and DIs can be found in Zhang et al [41], Hariri-Ardebili and Saouma [42], Ansari and Agarwal [43], and Hariri-Ardebili et al [44].…”

Section: Capacity Estimation Techniquesmentioning

confidence: 99%

“…Moreover, the variation of three cracks and the crushing is shown in Figure 6b using the concept of DI. Although many DIs have been proposed by the authors for both gravity and arch dams [42,44], a simple one was adopted. In this paper, DI is defined as a ratio of the damaged area (in a particular cracked direction or crushed situation) to the total dam cross-sectional area.…”

Section: Progressive Collapse Of a Gravity Dammentioning

confidence: 99%

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On the Dynamic Capacity of Concrete Dams

et al. 2019

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The purpose of this joint contribution is to study the maximum dynamic load concrete dams can withstand. The so-called "dynamic capacity functions" for these infrastructures seems now technically and commercially feasible thanks to the modern finite element techniques, hardware capabilities, and positive experiences collected so far. The key topics faced during the dynamic assessment of dams are also discussed using different point of view and examples, which include: the selection of dynamic parameters, the progressive level of detail for the numerical simulations, the implementation of nonlinear behaviors, and the concept of the service and collapse limit states. The approaches adopted by local institutions and engineers on the subject of dam capacity functions are discussed using the authors' experiences, and an overview of time and resources is outlined to help decision makers. Three different concrete dam types (i.e., gravity, buttress, and arch) are used as case studies with different complexities. Finally, the paper is wrapped up with a list of suggestions for analysts, the procedure limitations, and future research needs.

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“…There are several nonlinear models in the literature to estimate the response in terms of concrete dams' displacements which lead to similar results. Some examples of this are listed as follows; the plastic degradation method, which considers the elasto-plastic modulus' decreasing during the hysteretic cycles [1,2]; the nonlinear fracture mechanics which defines the potential crack [3]; the modelling of the joints within the dam which transmit the interaction stresses of the blocks [4]; the endurance time acceleration which is based on pushover analysis [5,6]; or the base sliding evaluation even that it is a simplified analysis accounts the nonlinear behaviour of the dam-water-foundation system [7].…”

Section: Introductionmentioning

confidence: 99%

Artificial accelerograms to estimate damage of dams by using failure criteria

Zacchei

Molina

2018

Scientia Iranica

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in structures. Master's degree in structural engineering from University Roma Tre (UNIROMA3), Italy. Bachelor's degree in civil engineering from UNIROMA3. Five scholarships, with two of them for stays in public Brazilian R&D centers: EP-USP (two years) and University of São Paulo State (UNESP) (seven months). Reviewer of SCOPUS and WoS journals, researcher in the group of Dynamic Experimental Analysis of Structures at EP-USP and member of the Portuguese Society of Seismic Engineering (SPES). Six-year work experience in engineering, especially in the major area of civil projects and structures, hydraulic engineering and road infrastructure. Civil engineer and job leader in national and international companies. Currently, he is a PhD student at UNESP in Structures. Researcher with several scientific papers published in high impact journals and presentations at congresses. AbstractThe aim of this paper is to analyse dam's damage by using two recent methodologies. The first method has been used to define the performance and response curves of concrete gravity dams. The second method defines the seismic input which has been obtained from power spectral density function consistent with the response spectrum. Both methods set themselves as efficient, practical and useful to develop quite complicated analysis as the construction of the stochastic process to define the synthetic earthquake and the estimation of cracks in the dam's body. These methodologies have been explained and revised to improve their use. The fluid behaviour contained by arch-dams is compared with the fluid behaviour in storage tanks by studying the sloshing phenomenon which is usually neglected for dams. For the mathematical modelling, interactive programming language has been used.3

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A new class of seismic damage and performance indices for arch dams via ETA method

Cited by 47 publications

References 14 publications

Probabilistic Identification of Seismic Response Mechanism in a Class of Similar Arch Dams

Probabilistic Identification of Seismic Response Mechanism in a Class of Similar Arch Dams

On the Dynamic Capacity of Concrete Dams

Artificial accelerograms to estimate damage of dams by using failure criteria

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