The application of geostatistical analysis to the prediction and modelling of the decay dynamics of masonry materials
The application of geostatistical analysis to the prediction and modelling of the decay dynamics of masonry materials
批准号:
EP/E049648/1
负责人:
Jennifer McKinley
金额:
$25.29万
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2007
资助国家:
英国
项目状态:
已结题
起止时间:
2007 至 --
中文摘要
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英文摘要
Accurate prediction of the behaviour of masonry materials is crucial for building stone conservation and future building strategies. A long established body of research has provided increased understanding of the factors that trigger stone decay and an awareness of the unpredictability of decay dynamics. It is precisely this unpredictability of stone decay processes that can present significant problems when planning conservation and future stone building strategies. Previous research by the Weathering Research Group (WRG) at Queen's University Belfast, funded through EPSRC projects has centered on surface modification of building stones and feedback mechanisms in the decay of sandstones. This has provided a conceptual model of building stone decay This research aims to quantitatively test the conceptual model through 2D spatial analysis and 3D geostatistical modelling. Data recorded at a series of stages through weathering simulations, designed with the experience of established weathering studies, will be used to investigate trigger factors such as porosity, permeability, mineralogy and the mechanisms that perpetuate stone decay. Weathering simulations will be used to investigate the effect of salt surface concentration, salt penetration and accumulation at depth, to monitor and quantify relationships between variables, to ultimately predict and model the dynamics of stone decay. The field of rock weathering has yet to take full advantage of the field of geostatistics in terms of spatial prediction and simulation. In the light of this the proposed research project is aimed at providing a quantitative basis and predictive potency for the conceptual model of rapid sandstone retreat developed within the WRG and from established weathering studies. Geostatistical techniques will be used, in combination with geological and rock weathering interpretation, to facilitate the prediction and modelling of the dynamics of stone decay.
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The application of geostatistical analysis to the prediction and modelling of the decay dynamics of masonry materials.
地质统计分析在砖石材料腐烂动力学预测和建模中的应用。
DOI:
--
发表时间:
2008
期刊:
影响因子:
--
作者:
[J McKinley]
通讯作者:
J McKinley
Comparative investigation of the spatial distribution of past weathering impacts on sandstone masonry
砂岩砌体过去风化影响空间分布的比较研究
DOI:
10.1016/j.geomorph.2018.09.022
发表时间:
2019
期刊:
Geomorphology
影响因子:
3.9
作者:
[Johnston B]
通讯作者:
Johnston B
Geostatistical analysis of multiple correlated variables from salt weathering simulations
盐风化模拟中多个相关变量的地统计分析
DOI:
--
发表时间:
期刊:
影响因子:
--
作者:
[Jennifer McKinley (Author)]
通讯作者:
Jennifer McKinley (Author)
DOI:
10.2110/jsr.2011.71
发表时间:
2011-12
期刊:
Journal of Sedimentary Research
影响因子:
2
作者:
[J. McKinley;P. Atkinson;C. Lloyd;A. Ruffell;R. Worden]
通讯作者:
J. McKinley;P. Atkinson;C. Lloyd;A. Ruffell;R. Worden
DOI:
10.1002/esp.2050
发表时间:
2011-03-01
期刊:
EARTH SURFACE PROCESSES AND LANDFORMS
影响因子:
3.3
作者:
[Buj, O., Gisbert, J., Smith, B.]
通讯作者:
Smith, B.
共 9 条
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