Static and Dynamic Analysis of Pore Water Pressure in Azadi Earth Dams Using Abaqus Software

Document Type : Research paper

Authors

1 Department of Engineering Faculty, Ayatollah Borujerdi University

2 Ms. Graduated, Water Engineering and Hydraulic Structures

3 Ms. Graduated, Water Engineering and Hydraulic Structures, Ayatollah Boroujerdi University

Abstract

Seismic analysis of earth and rockfill dams is generally carried out in two quasi-static and dynamic methods. Although the quasi-static method with easy application and simple as-sumptions provides dam safety, it can sometimes lead to unsafe and uneconomical results. In the present study, the Riley-damping rule was used in calculating the pore water pressure of Azadi earth dam and both nonlinear static and dynamic analyzes were used. Also, a simple elastoplastic behavior model based on the Mohr-Coulomb criterion in Abaqus Soft-ware was used. For verification, the clay core pore water pressure due to changes in reservoir water level after im-pounding was compared with Abaqus model software and compared with the static instrument results. Multivariate regression and explanatory coefficient criterion were used to match observed and predicted data and R2 = 0.9123 indicates very good agreement between observed and predicted data. A comparison of the results showed that the pore water pressure in the dynamic analysis is 33% higher than the static analysis.in reservoir water level after im-pounding was compared with Abaqus model software and compared with the static instrument results. Multivariate regression and explanatory coefficient criterion were used to match observed and predicted data and R2 = 0.9123 indicates very good agreement between observed and predicted data. A comparison of the results showed that the pore water pressure in the dynamic analysis is 33% higher than the static analysis.in reservoir water level after im-pounding was compared with Abaqus model software and compared with the static instrument results. Multivariate regression and explanatory coefficient criterion were used to match observed and predicted data and R2 = 0.9123 indicates very good agreement between observed and predicted data. A comparison of the results showed that the pore water pressure in the dynamic analysis is 33% higher than the static analysis.

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