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Портал Begell Электронная Бибилиотека e-Книги Журналы Справочники и Сборники статей Коллекции
International Journal for Multiscale Computational Engineering
Импакт фактор: 1.016 5-летний Импакт фактор: 1.194 SJR: 0.554 SNIP: 0.68 CiteScore™: 1.18

ISSN Печать: 1543-1649
ISSN Онлайн: 1940-4352

Выпуски:
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International Journal for Multiscale Computational Engineering

DOI: 10.1615/IntJMultCompEng.2016015745
pages 303-321

MULTISCALE STOCHASTIC STRUCTURAL ANALYSIS TOWARD RELIABILITY ASSESSMENT FOR LARGE COMPLEX REINFORCED CONCRETE STRUCTURES

Hao Zhou
School of Civil Engineering, Tongji University, Shanghai, China
Jie Li
State Key Laboratory of Disaster Reduction in Civil Engineering, and School of Civil Engineering, Tongji University, Shanghai 200092, China
Xiaodan Ren
School of Civil Engineering, Tongji University, Shanghai, PRC

Краткое описание

This paper focuses on a multiscale methodology to model and analyze large high-rise buildings subject to disastrous dynamic excitations. Starting from the material randomness and the nonlinear behavior of concrete, a mesoscopic stochastic damage model (SDM) is recommended in which the fracture strain of concrete at the microlevel is modeled as a Gaussian random field. By integrating the SDM and the refined structural elements into the finite element analysis, the structural dynamic responses can be comprehensively investigated using the explicit integration algorithm to solve the dynamic equations. To represent the probability information of structural responses, the probability density evolution method (PDEM) is employed. Also, the randomness propagation across different levels can be readily addressed via PDEM. The absorbing boundary condition corresponding to the failure criterion of structures is introduced to assess the dynamic reliability. As a case study, the stochastic dynamic analysis and the reliability assessment are illustratively carried out in terms of a prototype reinforced concrete structure. The simulated results show that the randomness of concrete materials plays a critical role in the stochastic response and dynamic reliability of reinforced concrete structures.