Shear strength test on unsaturated soil using natural microscopic surface tension force / Basharudin Abdul Hadi

摘要

The shallow infiltration influence slope failure is a complex soiludmechanical behavior according to geotechnical engineers. This isudbecause it is very difficult to obtain factor of safety less than unityudaccording to conventional slope stability method for the shallow typeudof slope failure. The process involves the propagation of wettingudfront into the unsaturated soil zone. This involved the mechanicsudof saturated and unsaturated soil. The soils shear strength tests forudsaturated soils is well established and straight forward however theudstrength tests for unsaturated soils involves a very complex procedure.udThe procedure includes equalization, consolidation and shearingudstages. The equalization process is a slow and tedious process whereudpore air and pore water pressure subjected to the partially saturatedudspecimen are maintained and wait for the slow movement of theudspecimen water to travel through the ceramic disk attached at theudFlood is a primary hazard affecting Malaysia, often responsible for lossudof lives and a severe threat to infrastructure and environment. Activitiesudin flood plain and catchment such as land clearing for other developmentsudeffort may increase the magnitude of a flood. The problem of floodudmanagement cannot be solved simply by providing more construction ofuddams and reservoirs. The adoption of a strategic approach is needed forudplanning and managing that flood management in any watershed. Theudevolution of distributed watershed models has been established for moreudaccurate representation of the hydrological system by considering theudspatial variability of model parameters and inputs. The research aims toudevaluate the performance and hydrological response of the Soil WaterudAssessment Tool (SWAT) process-based model in tropical river basinudusing Malaysia soil data. This study was specific to the upper part ofudLangat River Basin (UPLRB) in the context of Greater Kuala Lumpur Planudin the southern region. The research also provides a streamflow predictionudusing the Artificial Neural Network (ANN) method as another tool forudassessment. ArcSWAT2009.93.b, which is embedded in ArcGIS10, hasudbeen selected for this study, and the model requires comprehensive dataudon topography, soils, land use and daily weather data within a watershed.udSWAT-CUP, which links SUFI-2 algorithm to SWAT models, has beenudutilized in the study for the calibration of SWAT models. There wereudtwo sets of algorithms in developing the UPLRB ANN model and everyudalgorithm set consisted of model inputs data preparation, neural networkud29ud30udbase of the specimen until the flow ceased..