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Long-term analysis of the shrinkage and swelling of clayey soils in a climate change context by numerical modelling and field monitoring
Computers and Geotechnics ( IF 5.3 ) Pub Date : 2020-11-01 , DOI: 10.1016/j.compgeo.2020.103763
Hossein Assadollahi , Hossein Nowamooz

Abstract The shrinkage swelling phenomenon of clayey soils is affected by Soil-Vegetation-Atmosphere (SVA) interactions and can cause severe structural damage to lightly loaded constructions such as residential buildings. A soil-atmosphere interaction method was primarily presented along with a coupled hydro-thermal soil model. This approach was established to determine primarily, the natural time variable boundary conditions at the considered soil surface and secondly to determine the spatial–temporal changes of the soil suction, water content and temperature. Thereafter, the influence of the water uptake by vegetation was incorporated in the source term of the unsaturated water flow theory, using an existing root water uptake model. Subsequently, the variations of the soil suction were related to the volume change using a linear model. The associated volumetric indices in the void ratio-log suction plan, along with the complementary parameters of the linear model were correlated with basic geotechnical parameters. Comparisons between the simulation results and observation from a monitored site showed an acceptable performance of the predictions. The approach was then extended to study the influence of future climate projections (2050) on soil displacements using three Representative Concentration Pathway (RCP) climate change scenarios which revealed different possible behavior in both short and long-term.

中文翻译:

通过数值模拟和现场监测对气候变化背景下粘质土壤的收缩和膨胀进行长期分析

摘要 黏性土的缩胀现象受土壤-植被-大气(SVA)相互作用的影响,会对住宅等轻载结构造成严重的结构破坏。主要介绍了土壤-大气相互作用方法以及耦合的热液土壤模型。建立这种方法主要是为了确定所考虑土壤表面的自然时间变量边界条件,其次是确定土壤吸力、含水量和温度的时空变化。此后,利用现有的根系吸水模型,将植被吸水的影响纳入不饱和水流理论的源项中。随后,土壤吸力的变化与使用线性模型的体积变化相关。空隙率-对数吸力计划中的相关体积指数以及线性模型的补充参数与基本岩土工程参数相关。模拟结果与监测站点的观察结果之间的比较表明预测的性能是可以接受的。然后将该方法扩展到使用三个代表性浓度路径 (RCP) 气候变化情景研究未来气候预测 (2050) 对土壤位移的影响,这些情景揭示了短期和长期的不同可能行为。模拟结果与监测站点的观察结果之间的比较表明预测的性能是可以接受的。然后将该方法扩展到使用三个代表性浓度路径 (RCP) 气候变化情景研究未来气候预测 (2050) 对土壤位移的影响,这些情景揭示了短期和长期的不同可能行为。模拟结果与监测站点的观察结果之间的比较表明预测的性能是可以接受的。然后将该方法扩展到使用三个代表性浓度路径 (RCP) 气候变化情景研究未来气候预测 (2050) 对土壤位移的影响,这些情景揭示了短期和长期的不同可能行为。
更新日期:2020-11-01
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