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Simulations of THM processes in buffer-rock barriers of high-level waste disposal in an argillaceous formation 被引量:2
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作者 Xiaoshuo Li Chunliang Zhang Klaus-Jürgen Rhlig 《Journal of Rock Mechanics and Geotechnical Engineering》 SCIE CSCD 2013年第4期277-286,共10页
The main objective of this paper is to investigate and analyse the thermo-hydro-mechanical(THM) coupling phenomena and their influences on the repository safety.In this paper,the high-level waste(HLW) disposal con... The main objective of this paper is to investigate and analyse the thermo-hydro-mechanical(THM) coupling phenomena and their influences on the repository safety.In this paper,the high-level waste(HLW) disposal concept in drifts in clay formation with backfilled bentonite buffer is represented numerically using the CODE BRIGHT developed by the Technical University of Catalonia in Barcelona.The parameters of clay and bentonite used in the simulation are determined by laboratory and in situ experiments.The calculation results are presented to show the hydro-mechanical(HM) processes during the operation phase and the THM processes in the after-closure phase.According to the simulation results,the most probable critical processes for the disposal project have been represented and analyzed.The work also provides an input for additional development regarding the design,assessment and validation of the HLW disposal concept. 展开更多
关键词 Thermo-hydro-mechanical(THM) coupling processes Clay formation Unsaturated porous media Bentonite buffer CODE BRIGHT
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On Bivariate Self-Exciting Hysteretic Integer-Valued Autoregressive Processes
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作者 YANG Kai CHEN Xiaoman +2 位作者 LI Han XIA Chao WANG Xinyang 《Journal of Systems Science & Complexity》 2025年第5期2204-2225,共22页
This paper introduces a bivariate hysteretic integer-valued autoregressive(INAR)process driven by a bivariate Poisson innovation.It deals well with the buffered or hysteretic characteristics of the data.Model properti... This paper introduces a bivariate hysteretic integer-valued autoregressive(INAR)process driven by a bivariate Poisson innovation.It deals well with the buffered or hysteretic characteristics of the data.Model properties such as sationarity and ergodicity are studied in detail.Parameter estimation problem is also well address via methods of two-step conditional least squares(CLS)and conditional maximum likelihood(CML).The boundary parameters are estimated via triangular grid searching algorithm.The estimation effect is verified through simulations based on three scenarios.Finally,the new model is applied to the offence counts in New South Wales(NSW),Australia. 展开更多
关键词 Bivariate integer-valued time series buffered autoregressive process count data hysteretic autoregressive process TGSM algorithm
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