Dr. Kundan Meshram is working as an Assistant Professor, Department of Civil Engineering, School of Studies in Engineering and Technology, Guru Ghasidas University Bilaspur -495009 C.G., India
Sustainable Energy Technologies and Assessments, Nov 30, 2023
The purpose of this study is to calculate the characterized, normalized, and weighted factors for... more The purpose of this study is to calculate the characterized, normalized, and weighted factors for the environmental impact of a Li-ion battery (NMC811) throughout its life cycle. To achieve this, open LCA software is employed, utilizing data from product environmental footprint category rules, the Ecoinvent database, and the BatPaC database for a comprehensive Cradle to Grave assessment. The findings of the current study that certain processes have significant environmental implications, including climate change (fossil), resource usage (energy carrier), resource use (minerals and metals), and respiratory inorganic impacts. However, it is noteworthy that water scarcity contributes to 87% of the overall effect, primarily due to the utilization of acids in the hydrometallurgical process. Moreover, the impact categories mentioned above are heavily influenced by the electricity grid mix employed during both the production and consumption phases. Consequently, increasing the proportion of clean energy in the electrical grid mix has been identified as an effective strategy for reducing the Life Cycle Impact Assessment (LCIA) of Li-ion batteries.
The purpose of this study is to calculate the characterized, normalized, and weighted factors for... more The purpose of this study is to calculate the characterized, normalized, and weighted factors for the environmental impact of a Li-ion battery (NMC811) throughout its life cycle. To achieve this, open LCA software is employed, utilizing data from product environmental footprint category rules, the Ecoinvent database, and the BatPaC database for a comprehensive Cradle to Grave assessment. The findings of the current study that certain processes have significant environmental implications, including climate change (fossil), resource usage (energy carrier), resource use (minerals and metals), and respiratory inorganic impacts. However, it is noteworthy that water scarcity contributes to 87% of the overall effect, primarily due to the utilization of acids in the hydrometallurgical process. Moreover, the impact categories mentioned above are heavily influenced by the electricity grid mix employed during both the production and consumption phases. Consequently, increasing the proportion of clean energy in the electrical grid mix has been identified as an effective strategy for reducing the Life Cycle Impact Assessment (LCIA) of Li-ion batteries.
Civil Engineering structures are constantly subjected to environmental forces and changes around ... more Civil Engineering structures are constantly subjected to environmental forces and changes around the surroundings hence a strong need for assessment of the interaction and predictive measures that lead to pro-active actions towards the structural safety and health monitoring. Significant damage is caused to buildings and port infrastructure when soil is subjected to dynamic loadings and high-frequency vibrations as in earthquakes and events that involve the interaction of soil structures. Dynamic loadings, cause significant displacements and tilting in soil-supported structures. Sands, gravels, and other granular materials that support buildings, bridges, port infrastructure, and retaining structures have to withstand the impact of dynamic loadings, with the requirement of serious considerations, to account for liquefaction risk in the soil. Hence there is a need for careful assessments of soil under dynamic loadings. Data from the laboratory for cyclic triaxial experiments and cyclic direct shear experiments from LEAP-2020 (Liquefaction Experiment and Analysis Project) have been used to assess soil fatigue by comparing cyclic triaxial and direct shear strength data. CSR (Cyclic Stress ratio) had correlations with cycle count, axial strain, axial stress, load in KPa, void ratio. In this paper, machine learning (decision tree, extra tree, knn, random forest) and deep learning (artificial neural networks) techniques are applied to the laboratory dataset and results include prediction of the cyclic stress ratio of soil corresponding to the standard input parameters as per ASTM D 3999–91 and ASTM D 6528–07. This study predicts the CSR of soil that can be used for the predictive assessment of the soil. Additionally, CSR (cyclic stress ratio) is a crucial element in determining soil liquefaction
Chhattisgarh Journal of Science and Technology, 2021
In the present study, extensive research is imperative to address the destructive and hazardous v... more In the present study, extensive research is imperative to address the destructive and hazardous vibrational properties of earthquakes, particularly in the realm of structural vibration control, focusing on the differentiation of various damper properties capable of mitigating seismic effects on buildings. By simulating motion responses using MATLAB with initial random inputs, the behavior of these dampers is accurately captured. It provides a comprehensive classification of different damper devices that dissipate energy through material properties or simplified mechanical systems, accompanied by an analysis of their performance characteristics for selection purposes.
International Journal of Current Engineering and Technology
Because of colossal need by the general population, water must be put away and provided by their ... more Because of colossal need by the general population, water must be put away and provided by their necessities. Water request isn't steady for the duration of the day. It changes hour to hour. To supply steady measure of water, we must store water. So, to full fill the open water need, water tank should be developed. Limit storehouses and overhead tanks are used to store water, liquid oil, oil-based merchandise and relative liquids. The power assessment of the store or tanks is about the comparable free of the substance thought of the thing. All tanks are arranged as split free structures to discard any spillage. This undertaking gives more or less, the speculation behind the arrangement of liquid holding structure (Elevated roundabout water tank with domed rooftop and cone shaped base) utilizing working stress strategy method. Components are configured in working pressure technique. Breeze speed from 33m/sec to 55 m/s has used in this work along with Fani cyclone effect of 52 m/s...
Sustainable Energy Technologies and Assessments, Nov 30, 2023
The purpose of this study is to calculate the characterized, normalized, and weighted factors for... more The purpose of this study is to calculate the characterized, normalized, and weighted factors for the environmental impact of a Li-ion battery (NMC811) throughout its life cycle. To achieve this, open LCA software is employed, utilizing data from product environmental footprint category rules, the Ecoinvent database, and the BatPaC database for a comprehensive Cradle to Grave assessment. The findings of the current study that certain processes have significant environmental implications, including climate change (fossil), resource usage (energy carrier), resource use (minerals and metals), and respiratory inorganic impacts. However, it is noteworthy that water scarcity contributes to 87% of the overall effect, primarily due to the utilization of acids in the hydrometallurgical process. Moreover, the impact categories mentioned above are heavily influenced by the electricity grid mix employed during both the production and consumption phases. Consequently, increasing the proportion of clean energy in the electrical grid mix has been identified as an effective strategy for reducing the Life Cycle Impact Assessment (LCIA) of Li-ion batteries.
The purpose of this study is to calculate the characterized, normalized, and weighted factors for... more The purpose of this study is to calculate the characterized, normalized, and weighted factors for the environmental impact of a Li-ion battery (NMC811) throughout its life cycle. To achieve this, open LCA software is employed, utilizing data from product environmental footprint category rules, the Ecoinvent database, and the BatPaC database for a comprehensive Cradle to Grave assessment. The findings of the current study that certain processes have significant environmental implications, including climate change (fossil), resource usage (energy carrier), resource use (minerals and metals), and respiratory inorganic impacts. However, it is noteworthy that water scarcity contributes to 87% of the overall effect, primarily due to the utilization of acids in the hydrometallurgical process. Moreover, the impact categories mentioned above are heavily influenced by the electricity grid mix employed during both the production and consumption phases. Consequently, increasing the proportion of clean energy in the electrical grid mix has been identified as an effective strategy for reducing the Life Cycle Impact Assessment (LCIA) of Li-ion batteries.
Civil Engineering structures are constantly subjected to environmental forces and changes around ... more Civil Engineering structures are constantly subjected to environmental forces and changes around the surroundings hence a strong need for assessment of the interaction and predictive measures that lead to pro-active actions towards the structural safety and health monitoring. Significant damage is caused to buildings and port infrastructure when soil is subjected to dynamic loadings and high-frequency vibrations as in earthquakes and events that involve the interaction of soil structures. Dynamic loadings, cause significant displacements and tilting in soil-supported structures. Sands, gravels, and other granular materials that support buildings, bridges, port infrastructure, and retaining structures have to withstand the impact of dynamic loadings, with the requirement of serious considerations, to account for liquefaction risk in the soil. Hence there is a need for careful assessments of soil under dynamic loadings. Data from the laboratory for cyclic triaxial experiments and cyclic direct shear experiments from LEAP-2020 (Liquefaction Experiment and Analysis Project) have been used to assess soil fatigue by comparing cyclic triaxial and direct shear strength data. CSR (Cyclic Stress ratio) had correlations with cycle count, axial strain, axial stress, load in KPa, void ratio. In this paper, machine learning (decision tree, extra tree, knn, random forest) and deep learning (artificial neural networks) techniques are applied to the laboratory dataset and results include prediction of the cyclic stress ratio of soil corresponding to the standard input parameters as per ASTM D 3999–91 and ASTM D 6528–07. This study predicts the CSR of soil that can be used for the predictive assessment of the soil. Additionally, CSR (cyclic stress ratio) is a crucial element in determining soil liquefaction
Chhattisgarh Journal of Science and Technology, 2021
In the present study, extensive research is imperative to address the destructive and hazardous v... more In the present study, extensive research is imperative to address the destructive and hazardous vibrational properties of earthquakes, particularly in the realm of structural vibration control, focusing on the differentiation of various damper properties capable of mitigating seismic effects on buildings. By simulating motion responses using MATLAB with initial random inputs, the behavior of these dampers is accurately captured. It provides a comprehensive classification of different damper devices that dissipate energy through material properties or simplified mechanical systems, accompanied by an analysis of their performance characteristics for selection purposes.
International Journal of Current Engineering and Technology
Because of colossal need by the general population, water must be put away and provided by their ... more Because of colossal need by the general population, water must be put away and provided by their necessities. Water request isn't steady for the duration of the day. It changes hour to hour. To supply steady measure of water, we must store water. So, to full fill the open water need, water tank should be developed. Limit storehouses and overhead tanks are used to store water, liquid oil, oil-based merchandise and relative liquids. The power assessment of the store or tanks is about the comparable free of the substance thought of the thing. All tanks are arranged as split free structures to discard any spillage. This undertaking gives more or less, the speculation behind the arrangement of liquid holding structure (Elevated roundabout water tank with domed rooftop and cone shaped base) utilizing working stress strategy method. Components are configured in working pressure technique. Breeze speed from 33m/sec to 55 m/s has used in this work along with Fani cyclone effect of 52 m/s...
Management of construction components is vital to the overall cost and quality of any constructio... more Management of construction components is vital to the overall cost and quality of any construction site. A loosely monitored site might give moderate construction quality but might be very costly in terms of per-unit rate, while a very tightly monitored site might be able to reduce on the per-unit cost, but it might directly affect the construction quality. Over the years, researchers have proposed many techniques for monitoring and control of construction components; some of them have proven to be very effective, while some others have not yet been standardized. In this empirical review, this chapter analyzes different tools and techniques that can be utilized for improving the cost-to-quality metric at a construction site and suggest ways to improve the same. This work will be helpful to a large group of construction-related agencies like builders, contractors, etc., in order to find and implement the best practices for on-site construction management. This chapter also proposes a novel method via which the overall site quality can be improved and evaluate its performance against other state-of-art methods.
A highly effective Green computing strategy is able to reduce wastage of natural resources by opt... more A highly effective Green computing strategy is able to reduce wastage of natural resources by optimal usage of the computing device. This optimal usage includes but is not limited to, optimum power utilization, optimal fuel consumption, optimum load distribution, etc. Finally, all these optimizations must result in reduced carbon footprints, reduced pollution, and reduced wastage for the device being optimized. A large number of architectures are proposed for optimizing the Green performance of application specific systems. For instance, electrical load balancing is done using Genetic Algorithms (GAs), Particle Swarm Optimization (PSO), etc. The algorithms are designed to solve a particular problem, but are not flexible enough to handle all the real-time inputs present in a system. Considering load balancing systems, the optimization algorithms solve the issue of distributing load to devices, but are unable to handle power quality issues, sleep scheduling issues, etc. This gap results in an unfinished and half-baked system, which needs further optimization for final completion. In order to remove this drawback, this text proposes an artificial intelligence-based architecture that is flexible enough to take ‘N’ number of inputs, and produce ‘M’ number of optimizations for the system. This system is based on a Q-Learning approach for optimizing green computing performance for multiple social-system types. The proposed system is tested on vehicular networks, electrical load distribution systems, cloud task scheduling systems, etc. in order to evaluate its efficiency. Moreover, the system is compared with existing state-of-the art systems for evaluating its efficiency, and is found to perform 10% better in terms of power optimization.
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Papers by Kundan Meshram