Search results for: Free PDF Quiz 2024 High Hit-Rate EMC D-PM-IN-23 Latest Test Report 🍂 Search for ✔ D-PM-IN-23 ️✔️ and download exam materials for free through [ www.pdfvce.com ] 🦞Questions D-PM-IN-23 Exam
-
Simplified Geotechnical Analyses – “Back of the Envelope” Methods
Second October session of the course
-
Three-dimensional Slope Stability Assessments For A Large Translational Landslide
The factor of safety is often used to assess the stability of a slope. SVSlope is one of the software to calculate the factor of safety for both two and three-dimensional scenarios by using several Limit Equilibrium Methods options, including Morgenstern-Price, Spencer, Janbu and Bishop methods. Other geotechnical software such as FLAC and Plaxis use the Strength Reduction Method to calculate the factor of safety. When the authors recently analysed a large-scale translational landslide involving a large flat basal slip surface, it was found that different calculation methods for two-dimensional sections predicted a significantly different factor of safety for the same shear strength parameters. It became challenging for the design team to agree on the slope performance assessment from the various methodologies and the limitations of the two-dimensional analysis to massive translational landslides. The purpose of this paper is to investigate the stability of a typical three-dimensional large-scale translational landslide by applying different methods and comparing the differences between them. A typical large-scale translational landslide was modelled based on an actual project. It was analysed using 2D/3D SVSlope with different Limit Equilibrium Methods and FLAC3D with the Strength Reduction Method. The differences in the factor of safety from the various methods are presented. This paper highlights the strengths and weaknesses of a different factor of safety methods for a typical two and three-dimensional large translational landslide.
-
Uplift And Closure Of Brennans Creek Dam Due To Underground Coal Mining At West Cliff Colliery, NSW
This paper applies the new ACARP graphical method for predicting valley closure, upsidence and regional horizontal displacements to data measured at Brennans Creek Dam in order to review the effectiveness of the current dam monitoring programme. Analysis of the data shows that the embankment has been compressed by about 60mm and uplifted 50 mm. Regional horizontal movements of up to 7 mm have also occurred. We show that for a valley containing a dam embankment, a closer fit to the ACARP estimates of upsidence movement is obtained if valley depth is measured from crest level rather than from creek or floor of valley level. Dam closure movements are seen to be less predictable in terms of depth of valley, maximum incremental subsidence and in-situ horizontal stress regime. We conclude that the most recent mining by West Cliff Colliery of longwalls LW5A1 to LW5W3 does not appear to have damaged either the dam foundations or the embankment up to the present, and we have provided details of a better focussed monitoring progamme for analysing underground mining induced displacements in and around Brennans Creek Dam.
-
A new practical modification to the pressure plate extractor for measuring the wetting portion of SWCC
Soil Water Characteristics Curve (SWCC) is a graphical representation of the soil’s ability to retain water. To fully understand the soil behaviour of retaining water, a complete cycle of drying and wetting of SWCC should be measured. In common practice, SWCC measurement is limited to the drying phase only, as all the SWCC apparatuses can measure it, unlike the wetting phase which needs special attachments, modification or even certain apparatus. The pressure plate extractor in its ordinary configuration can only measure the drying phase of SWCC. This paper presents a practical modification on the pressure plate extractor (PPE) so that it is able to measure the wetting phase as well. For the purpose of verification, SWCCs from the modified apparatus and the double-walled triaxial test were measured and compared. The results from both apparatuses have shown very good agreement.
-
Determination Of Moisture Content Of Subgrade Soil Using Artificial Neuro-electronic Control
Moisture content of soil is of utmost importance in the progression of road construction and is absolutely crucial for making decisions concerning design and construction of pavements. Pavement sustainability depends on the performance of its individual components, which require the assurance of qualities such as evaluation of the properties of soil and constant monitoring of some soil conditions (e.g. moisture content). For pavement design the most considerable engineering factor of soil is the strength that is practically accomplished by soil compaction and soil stabilization. However, to achieve the required soil strength, consideration of compaction effort or stabilization ingredients should be precise, and it is inevitably related to the moisture content of soil. Hence moisture content determination is elemental and must be performed frequently as necessary. The conventional method for its determination involves oven drying and this endeavour is time consuming (requires approximately 24 hours for drying), which may affect the subsequent undertakings. Some microwave oven based fast methods have been realized recently but these require continuous manual interventions. In this paper, a new approach will be proposed in a view to suppress the limitations of existing methods while maintaining the better accuracy. This innovation embeds an automatic electronic control as well as an artificial neural network (ANN) in the framework for time optimization. Artificial neural network and automatic electronic control both together can be termed as artificial neuro-electronic control. The artificial neural network has been optimized and trained by mapping the weights of soil samples at specific time steps to the respective final moisture contents. As a result, subsequently the system can be able to predict the final moisture content by analysing fewer data samples in the very beginning of moisture content determination tests. Validation of the predictive results has also been conducted in real time for soil samples suitable for subgrade layer of a pavement to ensure the system feasibility for laboratory and field uses. Experiments show that this fully automatic system can exhibit a significant accuracy and precision for the evaluation of moisture content in about 50% reduced time compared to the standard microwave based method.