Reply to the discussion of the paper “Cemdata18: A chemical thermodynamic database for hydrated Portland cements and alkali-activated materials”

2020 ◽  
Vol 138 ◽  
pp. 106225
Author(s):  
T. Matschei ◽  
B. Lothenbach
2019 ◽  
Vol 115 ◽  
pp. 472-506 ◽  
Author(s):  
Barbara Lothenbach ◽  
Dmitrii A. Kulik ◽  
Thomas Matschei ◽  
Magdalena Balonis ◽  
Luis Baquerizo ◽  
...  

Engineering ◽  
2020 ◽  
Vol 6 (6) ◽  
pp. 695-706 ◽  
Author(s):  
Aiguo Wang ◽  
Yi Zheng ◽  
Zuhua Zhang ◽  
Kaiwei Liu ◽  
Yan Li ◽  
...  

2021 ◽  
Vol 11 (16) ◽  
pp. 7269
Author(s):  
Jun-Yeop Lee ◽  
Sang June Park ◽  
Seokyoung Ahn

A RESRAD-OFFISTE computational code for the safety assessment model of a radioactive waste repository was utilized to evaluate the influence of the updated OECD/NEA thermodynamic database on the safety assessment model in terms of exposure dose. The solubility data as the input parameter for the RESRAD-OFFSITE code obtained with two different sets of chemical thermodynamic databases such as JAEA-TDB and amended JAEA-TDB reflecting the updates of the OECD/NEA thermodynamic database were calculated and compared with each other. As a result, almost identical exposure doses were obtained due to the remarkable similarity between the solubility data of various radionuclides for both chemical thermodynamic databases. In contrast, dramatic changes in exposure dose were observed with varying distribution coefficients. Thermodynamic calculations indicated that the aqueous species distribution can be significantly changed by the selection of a chemical thermodynamic database and thus the relevant distribution coefficient can also be influenced as a consequence. Accordingly, the result obtained in the present work indicated that (i) the impact of the updated chemical thermodynamic data was somewhat minor from the viewpoint of the solubility and (ii) the distribution coefficient, which can be sensitively influenced by the predominant chemical species, produced a remarkable change in the exposure dose. This work provided an insight into the precise exposure dose calculation in terms of the reliable estimation of the distribution coefficient by means of a surface complexation model, which can predict the distribution coefficient as a function of groundwater composition coupled with a chemical speciation calculation based on up to date chemical thermodynamic data.


2019 ◽  
Vol 224 ◽  
pp. 930-949 ◽  
Author(s):  
Yanguang Wu ◽  
Bowen Lu ◽  
Tao Bai ◽  
Hao Wang ◽  
Feipeng Du ◽  
...  

2019 ◽  
Vol 138 (2) ◽  
pp. 879-887
Author(s):  
Pavel Krivenko ◽  
Danutė Vaičiukynienė ◽  
Aras Kantautas ◽  
Vitoldas Vaitkevičius ◽  
Evaldas Šerelis

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