Applying Fracture Mechanics and Weibull Analysis to Enhance T2052 Reliability | Chapter 4 | Scientific Research, New Technologies and Applications Vol. 8

This research provides a detailed analysis of crack propagation and fatigue in the T2052 coal mining/dumping machine. By employing fracture mechanics and Weibull analysis, a practical method for estimating component lifespan and optimizing maintenance was developed. Undetected cracks pose a significant challenge to mining equipment maintenance. To address this, we conducted static fracture analyses and modelled crack propagation based on material properties, stress intensity factors, and environmental conditions. Weibull analysis was used to characterize material variability. Our results indicate rapid crack propagation after reaching a critical length and relatively low variability in the mechanical properties of the OL52 material. Material properties and operating conditions significantly influence crack propagation rates. By modelling crack propagation, we can optimize preventive maintenance planning, thereby increasing equipment reliability and reducing costs. By identifying critical components and monitoring crack evolution, we can prevent catastrophic failures. This research demonstrates the effectiveness of fracture mechanics and Weibull analysis in assessing crack propagation and predicting component lifetime in T2052 coal mining/dumping machines. Mining operators can use these results to improve equipment reliability, reduce maintenance costs, and optimize operational efficiency. Future research could focus on refining the models used and exploring additional factors that may influence crack propagation.

 

Author (s) Details

 

Mihaela Toderas
University of Petrosani, Romania.

 

Sorin Mihai Radu
University of Petrosani, Romania.

 

Florin Vilceanu
University of Petrosani, Romania.

 

Stela Dinescu
University of Petrosani, Romania.

 

Danciu Ciprian
University of Petrosani, Romania.

 

Please see the book here:- https://doi.org/10.9734/bpi/srnta/v8/3021

Determining the Analysis of the Stability of Embankments against Sliding and Prediction of Sliding and Critical Factor of Safety | Chapter 08 | Novel Perspectives of Engineering Research Vol. 9

 

The ability of sloped soil or rock slopes to endure or undergo movement is referred to as slope stability. In soil mechanics, geotechnical engineering, and engineering geology, slope stability is studied. The goal of most analyses is to figure out what causes slope failure or what circumstances might cause a slope to move, resulting in a landslide. Through mitigation countermeasures, analyses are also aimed at preventing the onset of movement, slowing it down, or stopping it. The stability of slopes is affected by a variety of variables. Soil cohesion, soil friction angle, existing loads, and water surface level are some of these factors. These variables have an impact on the slip surface's shear resistance. One of the oldest approaches for estimating the critical slip surface and minimum factor of safety is the limit equilibrium method (LEM). The impacts of soil material parameters such as soil specific weight (), cohesion (C), angle of internal friction (), geometric slope parameters such as angle with the horizontal (), and slope height (H) on factor of safety (Fs) are studied in this work. Fs is examined in two scenarios: I a slope with dry conditions, and (ii) a steady-state saturated condition with water level drawdown conditions. Furthermore, a slip circle is examined. The SLOPE/W software, which is part of the Geo-Studio software suite, is used to perform these calculations. The data show that reducing the water table level and relieving the slope of hydrostatic pressure reduces the safety factor. Only at near-vertical slopes did the plane failure method give good results when compared to the circular failure method. The results also reveal that each of the three forms of slip happened, however only toe circle slips happened for >. For calculating the slope safety factor, linear and nonlinear regression equations were used.

Author(S) Details

Farzin Salmasi
Department of Water Engineering, Faculty of Agriculture, University of Tabriz, Tabriz, Iran.

John Abraham
University of St. Thomas, Minnesota, School of Engineering 2115 Summit Avenue St. Paul, Minnesota 55105, USA.

Bahram Nourani
Department of Water Engineering, Faculty of Agriculture, University of Tabriz, Tabriz, Iran.

View Book:- https://stm.bookpi.org/NPER-V9/article/view/6298