Non-linear Behavior of a Concrete Gravity Dam During Seismic Excitation: A Case Study of the Pine Flat Dam

Author(s):  
J. Enzell ◽  
R. Malm ◽  
R. Abbasiverki ◽  
L. Ahmed
2017 ◽  
Vol 148 ◽  
pp. 263-276 ◽  
Author(s):  
Gaohui Wang ◽  
Yongxiang Wang ◽  
Wenbo Lu ◽  
Mao Yu ◽  
Chao Wang

Author(s):  
Tahmina Tasnim Nahar ◽  
Anh-Tuan Cao ◽  
Dookie Kim

Abstract This paper proposes an approach to assess and predict the seismic risk of existing concrete gravity dams (CGDs) considering the ageing effect. The combination of fragility function and cumulative absolute velocity (CAV) depending on two failure states has been used in the analysis. It represents the time-variant degradation of the concrete structure and the conditional change of structural vulnerability in the case of the seismic excitation. Therefore, the seismic risk assessment captures here the nonlinear dynamic behavior of a concrete gravity dam through the fragility analysis. Incremental dynamic analysis for the fragility curves is adopted to state the performance of the dam in terms of different intensity measures. To assess the capacity of the aged concrete gravity dam, this research introduces a way to estimate the CAVlimit of CGDs with varying time. For a case study, an existing concrete gravity dam in Korea has been taken into consideration to apply this approach. The numerical finite element model is validated by optimizing the recorded field data. The proposed approach and its findings will be helpful to CGDs operators to ensure whether a dam needs to stop after a specific time using the extracted mathematical model. Furthermore, as this mathematical model is the function of time, the operator can get an idea about dam conditions at any specific time and can take necessary steps.


Author(s):  
Siro Casolo ◽  
Andrea Fiore ◽  
Francesco Porco ◽  
Domenico Raffaele ◽  
Carlo Alberto Sanjust ◽  
...  

Monumental buildings are characterized by elements (such as columns, vaults, arches …) that can suffer significant damage even under moderate earthquakes. Unfortunately, the available modeling approaches require a huge amount of computing resources. The chapter presents a multi-level strategy that is able to overcome these difficulties by a rational adoption of different computational approaches. As a case study, the non-linear seismic assessment of the medieval “Maniace Castle”, in Syracuse (Sicily, Italy) is developed, by using different numerical models. First, the linear behavior of the building is studied by means of two 3D Finite Element models. Then, results are used to calibrate a 2D plane Rigid Body and Spring Model (RBSM), specifically formulated for approximating the macroscopic behavior of masonry texture with a small number of degrees of freedom. In order to account for the variability of the material characteristics, parametric non-linear analyses have been performed and compared.


Measurement ◽  
2021 ◽  
Vol 172 ◽  
pp. 108865
Author(s):  
Shaker A. Gelany ◽  
B.M. Sayed

2012 ◽  
Vol 03 (09) ◽  
pp. 1147-1160 ◽  
Author(s):  
Marco A. Aceves-Fernandez ◽  
Jesus Carlos Pedraza-Ortega ◽  
Artemio Sotomayor-Olmedo ◽  
Juan M. Ramos-Arreguín ◽  
Jose Emilio Vargas-Soto ◽  
...  

2007 ◽  
Vol 12 (1) ◽  
pp. 119-140 ◽  
Author(s):  
Khalid Mustafav ◽  
Mohammedv Nishat

This paper investigates the efficiency of the Karachi stock exchange (KSE) with corrections for thin trading and non-linearity as suggested by Miller, Muthuswamy and Whaley (1994). Daily, weekly, and monthly data on stock prices from December 1991 to May 2003 have been used, with three non-overlapping periods (December 1991 to May 1998; May 1998 to September 2001; and September 2001 to May 2003) and one combined period (May 1998 to May 2003). The results indicate that the Karachi Stock Market is efficient for the overall period, the three sub-periods, and the combined period in linear and non-linear behavior after making adjustments for thin trading. The same result is observed when the efficiency test is conducted on weekly and monthly data after adjusting for thin trading during the overall study period.


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