E-ISSN: 2456-2033

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IJAREM: Volume 08 - No. 04, 2022


1. Management for Stability Analysis and Design of Slope Reinforcement on Landslides Areas
Ph.D. Eng. Rev Monika Gwóźdź – Lasoń, Eng. Katarzyna Boczkowska
The current national and European requirements set the economy from the construction sector to new approaches to investment and construction management. The scope of design, execution and management of the investment begins to have different priorities and challenges.Slopes and landslides are one of the most common and most dangerous geological threats in Poland and beyond. They cause losses and destruction not only in infrastructure but also in the environment. They are a huge threat to people and their functioning in the environment.The presented document is aimed at presenting concepts and solutions for landslide protection and slope stabilization at existing damaged road sections. The main design task of this work is to restore to full technical efficiency the analyzed body of the existing poviat road No. 1475S Żywiec - Rychwałd in Żywiec at 0 + 405 km to 0 + 455 km by stabilizing an active landslide in the entire known range of its occurrence and ensuring safety for road users.
Calculation were made by the GEO5 program, Slope Stability module and Wall analysis. Firstly, the soils layers was averaged and defined. The object was included in the third geotechnical category in complex soil conditions. Then, soil parameters were assigned and modelled in accordance with geology. Finally, loads and groundwater levels were defined and results obtained. The shape of the slope was then given and calculations were made. It uses: Bishop, Fellinius, Spencer, Janbu and Morgenstern-Price methods for stability analysis. The calculations are mainly based on Eurocode 2, 3 and 7 and the technique design in this case is called the Tessin Wall.Construction investment management requires a new cicrle economy approach for building materials and project solutions.


2. High-order electrical equivalent circuit modeling research for an accurate lithium-ion battery state prediction
Md. Amdadul Haque, Shunli Wang, Carlos Fernandez, Chunmei Yu, Mingfang He, Etse Dablu Bobobee
For high-power lithium-ion battery packs, battery modeling and iterative state calculation in the battery management system are important, since their accuracy influences their working performance and safety. To realize the iterative computation procedure, and predict the state of charge for optimal performance, as well as providing reliable and timely information on an improved extended Kalman filter system and a battery high-order electrical equivalent circuit model are combined in this paper to dynamically approximate the SOC of a battery. The traditional equivalent circuit model was used alongside the suggested high-order electrical equivalent circuit model in the same algorithm to ensure the model's efficacy. Experiments indicate that the results from using the high-order electrical equivalent circuit model with improved EKF have a strong convergence speed, are more stable, and have a high precision of accuracy in the state of charge estimation, and the estimation accuracy can reach third-order precision. Under extreme voltage and current changes, the maximum state of charge error estimated based on the traditional equivalent circuit model using the improved EKF algorithm was 2.96% representing an accuracy of 97.04%, and the maximum error based on the established high-order electrical model using the improved extended Kalman filtering algorithm was 1.83% representing an accuracy of 98.17%. The estimation error remains at 1.83 percent, which may be reduced by 1.13 percent when compared to the traditional technique. It can give a theoretical safety protection framework for the lithium-ion battery pack's energy management.









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