Pub Date : 2024-07-07DOI: 10.32628/ijsrset24114102
K. Ravi Kiran Yasaswi, Ch. D. V. Sai Kumar, D. Bharath Lakshman, T. Jaswanth
“Flexible working conditions” is a facility to help the employees to manage their work life and personal life effectively. It provides the feasibility to work according to their choice. It may be time or place. It also improves the satisfaction levels of the employees and the productivity of the employees. It helps employers to reduce the absenteeism and turnover of the employees.
{"title":"Flexible Working Conditions","authors":"K. Ravi Kiran Yasaswi, Ch. D. V. Sai Kumar, D. Bharath Lakshman, T. Jaswanth","doi":"10.32628/ijsrset24114102","DOIUrl":"https://doi.org/10.32628/ijsrset24114102","url":null,"abstract":"“Flexible working conditions” is a facility to help the employees to manage their work life and personal life effectively. It provides the feasibility to work according to their choice. It may be time or place. It also improves the satisfaction levels of the employees and the productivity of the employees. It helps employers to reduce the absenteeism and turnover of the employees.","PeriodicalId":14228,"journal":{"name":"International Journal of Scientific Research in Science, Engineering and Technology","volume":" 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141671201","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-03DOI: 10.32628/ijsrset24114100
Chaitanya Patel
This study investigates the creation of copper nanoparticles (CuNPs) using chemical reduction and laser ablation in liquid (LASIS). UV-visible spectroscopy is used to examine the optical characteristics of the nanoparticles created by these techniques. The purpose of the study is to compare the stability, efficacy, and particle size of CuNPs produced using different techniques. When comparing the LASIS method to the chemical reduction process, Transmission Electron Microscopy (TEM) examination revealed that the former produced smaller and more uniform nanoparticles. This work demonstrates the effectiveness of both synthesis techniques, with LASIS clearly outperforming the other in the production of superior CuNPs with more control over particle size and dispersion. A thorough explanation of the chemical reduction method and LASIS used in the synthesis of copper nanoparticles is provided, and UV-visible spectroscopy is used to characterize the resulting particles.
{"title":"LASIS-Assisted Copper Nanoparticle Synthesis and Characterization, along with UV-Visible Spectroscopy","authors":"Chaitanya Patel","doi":"10.32628/ijsrset24114100","DOIUrl":"https://doi.org/10.32628/ijsrset24114100","url":null,"abstract":"This study investigates the creation of copper nanoparticles (CuNPs) using chemical reduction and laser ablation in liquid (LASIS). UV-visible spectroscopy is used to examine the optical characteristics of the nanoparticles created by these techniques. The purpose of the study is to compare the stability, efficacy, and particle size of CuNPs produced using different techniques. When comparing the LASIS method to the chemical reduction process, Transmission Electron Microscopy (TEM) examination revealed that the former produced smaller and more uniform nanoparticles. This work demonstrates the effectiveness of both synthesis techniques, with LASIS clearly outperforming the other in the production of superior CuNPs with more control over particle size and dispersion. A thorough explanation of the chemical reduction method and LASIS used in the synthesis of copper nanoparticles is provided, and UV-visible spectroscopy is used to characterize the resulting particles.","PeriodicalId":14228,"journal":{"name":"International Journal of Scientific Research in Science, Engineering and Technology","volume":"135 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141682784","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This research paper studies the challenges of excessive honking in India and the possible opportunities of role of Artificial Intelligence in mitigating these issues. This paper explores the causes and impacts of honking to the citizens of the country and analysis the challenges faced by the car manufactures on how honking issue can be eradicated though AI. AI can contribute by analyzing the data which can help to understand the causes and solutions through implementation of the right algorithms for human behavior, road safety enhancement and improving the driving experience. This paper proposes valuable insights to Electric car vehicle manufacturers on how Artificial Intelligence can play a vital role in reducing the car honking in India.
{"title":"Role of AI in Reducing Honking in Electric Cars in India","authors":"Arindam Bindlish, Dr. Meghna Sharma","doi":"10.32628/ijsrset2411333","DOIUrl":"https://doi.org/10.32628/ijsrset2411333","url":null,"abstract":"This research paper studies the challenges of excessive honking in India and the possible opportunities of role of Artificial Intelligence in mitigating these issues. This paper explores the causes and impacts of honking to the citizens of the country and analysis the challenges faced by the car manufactures on how honking issue can be eradicated though AI. AI can contribute by analyzing the data which can help to understand the causes and solutions through implementation of the right algorithms for human behavior, road safety enhancement and improving the driving experience. This paper proposes valuable insights to Electric car vehicle manufacturers on how Artificial Intelligence can play a vital role in reducing the car honking in India.","PeriodicalId":14228,"journal":{"name":"International Journal of Scientific Research in Science, Engineering and Technology","volume":"116 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141687063","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-15DOI: 10.32628/ijsrset24113141
Nikhil Jain
We have presented an introduction to Cosmological Models in General Relativity in Self Creation theory of Gravitation various definitions of basic terminology is given. Many principles used in General Relativity are also explained.
{"title":"An Introduction to Cosmological Models in General Relativity in Self Creation Theory of Gravitation","authors":"Nikhil Jain","doi":"10.32628/ijsrset24113141","DOIUrl":"https://doi.org/10.32628/ijsrset24113141","url":null,"abstract":"We have presented an introduction to Cosmological Models in General Relativity in Self Creation theory of Gravitation various definitions of basic terminology is given. Many principles used in General Relativity are also explained.","PeriodicalId":14228,"journal":{"name":"International Journal of Scientific Research in Science, Engineering and Technology","volume":"88 14","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141337471","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Diabetes Mellitus (DM) is a persistent health issue in many countries and is a leading cause of heart disease, kidney failure, and blindness The International Diabetes Federation (IDF) estimated in 2019 that at least 463 million people worldwide aged 20-79 suffer from diabetes. This number is expected to rise to 578 million by 2030 and 700 million by 2045. Machine learning is a type of machine learning that is very helpful in various fields, including healthcare. In classification cases, ensemble methods classify by combining decisions from several other models, one way being through majority voting. Ensemble methods often produce more accurate classification or prediction results. Several ensemble methods include random forest, extra trees, rotation forest, and double random forest. The data used in this study is part of research on the development and clinical testing of a prototype non-invasive blood glucose monitoring device by the non-invasive biomarking team at IPB. The data includes both invasive and non-invasive blood glucose measurements collected in 2019. This study compares the performance of the random forest, extra trees, rotation forest, and double random forest models on blood glucose level data obtained from non-invasive devices. The research results show that the Rotation Forest algorithm is the best model, with the highest average accuracy compared to the other three algorithms, achieving an accuracy level of 0.7142857 (71.42%).
{"title":"Comparison of Ensemble Method Performance in Classifying Blood Sugar Levels Output from Non-Invasive Device","authors":"Alfi Indah Nurrizqi, Erfiani, Agus Mohamad Soleh","doi":"10.32628/ijsrset2411322","DOIUrl":"https://doi.org/10.32628/ijsrset2411322","url":null,"abstract":"Diabetes Mellitus (DM) is a persistent health issue in many countries and is a leading cause of heart disease, kidney failure, and blindness The International Diabetes Federation (IDF) estimated in 2019 that at least 463 million people worldwide aged 20-79 suffer from diabetes. This number is expected to rise to 578 million by 2030 and 700 million by 2045. Machine learning is a type of machine learning that is very helpful in various fields, including healthcare. In classification cases, ensemble methods classify by combining decisions from several other models, one way being through majority voting. Ensemble methods often produce more accurate classification or prediction results. Several ensemble methods include random forest, extra trees, rotation forest, and double random forest. The data used in this study is part of research on the development and clinical testing of a prototype non-invasive blood glucose monitoring device by the non-invasive biomarking team at IPB. The data includes both invasive and non-invasive blood glucose measurements collected in 2019. This study compares the performance of the random forest, extra trees, rotation forest, and double random forest models on blood glucose level data obtained from non-invasive devices. The research results show that the Rotation Forest algorithm is the best model, with the highest average accuracy compared to the other three algorithms, achieving an accuracy level of 0.7142857 (71.42%).","PeriodicalId":14228,"journal":{"name":"International Journal of Scientific Research in Science, Engineering and Technology","volume":"105 50","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141362217","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The prevalence of anemia in children (5-12 years) remains a public health issue in Indonesia. Early detection and control of risk factors are crucial for prevention. Machine learning models can be employed to address this problem. One practical approach is using ensemble learning models. However, it is expected to encounter imbalanced class problems when analyzing health data. Therefore, this study aims to perform classification modeling using two ensemble learning models: Random Forest (RF) and CatBoost. The proposed methods for handling imbalanced class issues include Random Over Sampling, SMOTE, G-SMOTE, Random Under Sampling, Instance Hardness Threshold (IHT), and SMOTE-ENN. Additionally, SHAP is used to explain the best-performing model based on Shapley values. The research findings indicate that the ensemble learning model using the CatBoost algorithm with G-SMOTE data handling produces the best performance compared to other methods. Based on the average performance metrics from 100 replicate validation, the CatBoost G-SMOTE model produces a sensitivity of 0.7104, specificity of 0.7043, G-Mean of 0.7067, and AUC of 0.7844. Handling the imbalance class problem using the G-SMOTE method effectively increases the sensitivity value in the two proposed ensemble learning models. Meanwhile, the SMOTE-ENN method produces effective G-Mean values for the Random Forest (RF) algorithms. Based on Shapley's value, the features with the highest contribution to predicting anemia in children (5-12 years) are ferritin, vitamin A, consumption of vegetables, diagnosed pneumonia, zinc, calcium total, and consumption of soft or carbonated drinks.
{"title":"Random Forest and CatBoost with Handling Imbalanced Class for Detection of Risk Factors Anemia in Children (5-12 Years)","authors":"Ditia Yosmita Praptiwi, Anang Kurnia, Anwar Fitrianto, Fitrah Ernawati","doi":"10.32628/ijsrset24113134","DOIUrl":"https://doi.org/10.32628/ijsrset24113134","url":null,"abstract":"The prevalence of anemia in children (5-12 years) remains a public health issue in Indonesia. Early detection and control of risk factors are crucial for prevention. Machine learning models can be employed to address this problem. One practical approach is using ensemble learning models. However, it is expected to encounter imbalanced class problems when analyzing health data. Therefore, this study aims to perform classification modeling using two ensemble learning models: Random Forest (RF) and CatBoost. The proposed methods for handling imbalanced class issues include Random Over Sampling, SMOTE, G-SMOTE, Random Under Sampling, Instance Hardness Threshold (IHT), and SMOTE-ENN. Additionally, SHAP is used to explain the best-performing model based on Shapley values. The research findings indicate that the ensemble learning model using the CatBoost algorithm with G-SMOTE data handling produces the best performance compared to other methods. Based on the average performance metrics from 100 replicate validation, the CatBoost G-SMOTE model produces a sensitivity of 0.7104, specificity of 0.7043, G-Mean of 0.7067, and AUC of 0.7844. Handling the imbalance class problem using the G-SMOTE method effectively increases the sensitivity value in the two proposed ensemble learning models. Meanwhile, the SMOTE-ENN method produces effective G-Mean values for the Random Forest (RF) algorithms. Based on Shapley's value, the features with the highest contribution to predicting anemia in children (5-12 years) are ferritin, vitamin A, consumption of vegetables, diagnosed pneumonia, zinc, calcium total, and consumption of soft or carbonated drinks.","PeriodicalId":14228,"journal":{"name":"International Journal of Scientific Research in Science, Engineering and Technology","volume":"51 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141383982","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-05DOI: 10.32628/ijsrset24113128
Dr. H. M. Naveen
The National Education Policy (NEP) 2020, seeks to transform higher education by focusing on skill-based education to meet the needs of the industry and the economy. According to the Institutional Development Plans (IDP) guidelines the Higher Educational Institutions (HEI) have to undertake the Academic and Professional Excellence journey as the heart of these guidelines. The UGC guidelines points out that, in the context of HEIs, governance refer to the systematic approach by which educational institutions are directed, controlled, and held accountable. It encompasses the methods and frameworks utilized for decision-making, risk monitoring, and performance enhancement.
{"title":"UGC Guidelines for Institutional Development Plans for Higher Education Institutions : An Overview","authors":"Dr. H. M. Naveen","doi":"10.32628/ijsrset24113128","DOIUrl":"https://doi.org/10.32628/ijsrset24113128","url":null,"abstract":"The National Education Policy (NEP) 2020, seeks to transform higher education by focusing on skill-based education to meet the needs of the industry and the economy. According to the Institutional Development Plans (IDP) guidelines the Higher Educational Institutions (HEI) have to undertake the Academic and Professional Excellence journey as the heart of these guidelines. The UGC guidelines points out that, in the context of HEIs, governance refer to the systematic approach by which educational institutions are directed, controlled, and held accountable. It encompasses the methods and frameworks utilized for decision-making, risk monitoring, and performance enhancement.","PeriodicalId":14228,"journal":{"name":"International Journal of Scientific Research in Science, Engineering and Technology","volume":"39 23","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141384442","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The architecture of the Church of GKI Jahja Sasari building displays symbols and ornaments taken from the Bible, which tell of the presence of the Trinity of God on earth as an expression of faith and a sacred and majestic religious atmosphere. Symbols in the form of two-dimensional and three-dimensional objects are arranged to beautify the church and have a spiritual meaning as a great place of worship. Symbols and symbolic ornaments are placed inside the church (interior) and outside the church (exterior), functioning to support the church atmosphere visually and to help the appreciation of faith aesthetically, psychologically, and religiously. The Church GKI Jahja Sasari in the Aimando Padaido village islands of Biak Numfor Regency is a Protestant Christian Church characterized by traditional and modern architecture, which is equipped with symbols and ornaments on the interior and exterior of the church which tries to maintain the ornaments and symbols of the church built by their ancestors in 1962. The ornaments built by the ancestors were retained in the new church building, reflecting the presence of biblical symbols in the modern architectural principles underlying the church design. The research problem is the existence of symbols and symbolic ornaments in the Church of GKI Jahja Sasari, which combines traditional and modern architecture and presents aesthetic, psychological, and religious aspects. The study was carried out by analyzing secondary data (photos and text), literature studies, and old church buildings formed by the ancestors of the Biak indigenous people, then comparing them with the basic guidelines for Protestant Christian church architecture and the principles of modern architecture. As a result, the Church of GKI Jahja Sasari combines traditional and modern architecture with an expression of an approach to the geography of the Pacific coast and the culture of the Biak people. The presence of the cross and dove symbols visually marks the GKI Protestant Christian church's presence with the Trinity God's presence; the interior symbolic ornaments strengthen its uniqueness as a sacred (religious) space. The shape and number of windows symbolize the number of indigenous peoples who inhabit the Aimando Padaido islands with a modern architectural style and provide space for symbols and symbolic ornaments. There is a mixture of modern traditional architecture with the symbolism of the church as a holy and sacred building of worship.
{"title":"The Symbolic Architecture and Meaning of the Church of GKI Jahja Sasari, Biak Numfor Regency, Papua","authors":"Deasy Widyastomo, Wika Matana Nion","doi":"10.32628/ijsrset2411268","DOIUrl":"https://doi.org/10.32628/ijsrset2411268","url":null,"abstract":"The architecture of the Church of GKI Jahja Sasari building displays symbols and ornaments taken from the Bible, which tell of the presence of the Trinity of God on earth as an expression of faith and a sacred and majestic religious atmosphere. Symbols in the form of two-dimensional and three-dimensional objects are arranged to beautify the church and have a spiritual meaning as a great place of worship. Symbols and symbolic ornaments are placed inside the church (interior) and outside the church (exterior), functioning to support the church atmosphere visually and to help the appreciation of faith aesthetically, psychologically, and religiously. The Church GKI Jahja Sasari in the Aimando Padaido village islands of Biak Numfor Regency is a Protestant Christian Church characterized by traditional and modern architecture, which is equipped with symbols and ornaments on the interior and exterior of the church which tries to maintain the ornaments and symbols of the church built by their ancestors in 1962. The ornaments built by the ancestors were retained in the new church building, reflecting the presence of biblical symbols in the modern architectural principles underlying the church design. The research problem is the existence of symbols and symbolic ornaments in the Church of GKI Jahja Sasari, which combines traditional and modern architecture and presents aesthetic, psychological, and religious aspects. The study was carried out by analyzing secondary data (photos and text), literature studies, and old church buildings formed by the ancestors of the Biak indigenous people, then comparing them with the basic guidelines for Protestant Christian church architecture and the principles of modern architecture. As a result, the Church of GKI Jahja Sasari combines traditional and modern architecture with an expression of an approach to the geography of the Pacific coast and the culture of the Biak people. The presence of the cross and dove symbols visually marks the GKI Protestant Christian church's presence with the Trinity God's presence; the interior symbolic ornaments strengthen its uniqueness as a sacred (religious) space. The shape and number of windows symbolize the number of indigenous peoples who inhabit the Aimando Padaido islands with a modern architectural style and provide space for symbols and symbolic ornaments. There is a mixture of modern traditional architecture with the symbolism of the church as a holy and sacred building of worship.","PeriodicalId":14228,"journal":{"name":"International Journal of Scientific Research in Science, Engineering and Technology","volume":"16 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141098454","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-22DOI: 10.32628/ijsrset24113103
Mohammad Meer, Akshay Sharma, Gaurav Wadhwani, Ashish Juneja
Self-Compacting Concrete (SCC) has revolutionized the construction industry with its superior flowability, workability, and ability to consolidate under its own weight without the need for mechanical vibration. However, the brittleness and cracking susceptibility of traditional SCC remain significant concerns, especially in applications requiring enhanced durability and structural integrity. To address these challenges, the incorporation of natural fibres such as coconut fibres into SCC has emerged as a promising solution. Coconut Fibre Reinforced Self-Compacting Concrete (CFRSCC) is an innovative material that combines the advantages of SCC with the mechanical benefits of coconut fibres. Coconut fibres are abundant, renewable, and environmentally friendly, making them a sustainable choice for reinforcement. The addition of these fibres improves the tensile strength, ductility, and crack resistance of SCC, thus enhancing its overall performance. This study compares the properties of CFRSCC with traditional SCC, focusing on key parameters such as compressive strength, tensile strength, flexural strength, and durability. The results indicate that CFRSCC exhibits superior mechanical properties, including increased tensile and flexural strength due to the bridging effect of the fibres, which helps to arrest crack propagation and improve post-cracking behavior. Furthermore, the enhanced ductility of CFRSCC contributes to greater energy absorption and deformation capacity, making it more resilient under dynamic and impact loads. In terms of sustainability, CFRSCC leverages agricultural waste products, thereby reducing the reliance on synthetic fibres and contributing to waste management and environmental conservation. The utilization of coconut fibres also offers economic benefits, particularly in regions where coconut production is prevalent, by providing a value-added use for by-products that would otherwise be discarded. In conclusion, CFRSCC presents a superior alternative to traditional SCC by addressing its limitations and offering enhanced mechanical performance, sustainability, and economic advantages. This innovative material holds significant potential for a wide range of construction applications, promoting more durable, resilient, and eco-friendly infrastructure development.
{"title":"Experimental Study on Coconut Fibre Reinforced Self Compaction Concrete","authors":"Mohammad Meer, Akshay Sharma, Gaurav Wadhwani, Ashish Juneja","doi":"10.32628/ijsrset24113103","DOIUrl":"https://doi.org/10.32628/ijsrset24113103","url":null,"abstract":"Self-Compacting Concrete (SCC) has revolutionized the construction industry with its superior flowability, workability, and ability to consolidate under its own weight without the need for mechanical vibration. However, the brittleness and cracking susceptibility of traditional SCC remain significant concerns, especially in applications requiring enhanced durability and structural integrity. To address these challenges, the incorporation of natural fibres such as coconut fibres into SCC has emerged as a promising solution. Coconut Fibre Reinforced Self-Compacting Concrete (CFRSCC) is an innovative material that combines the advantages of SCC with the mechanical benefits of coconut fibres. Coconut fibres are abundant, renewable, and environmentally friendly, making them a sustainable choice for reinforcement. The addition of these fibres improves the tensile strength, ductility, and crack resistance of SCC, thus enhancing its overall performance. This study compares the properties of CFRSCC with traditional SCC, focusing on key parameters such as compressive strength, tensile strength, flexural strength, and durability. The results indicate that CFRSCC exhibits superior mechanical properties, including increased tensile and flexural strength due to the bridging effect of the fibres, which helps to arrest crack propagation and improve post-cracking behavior. Furthermore, the enhanced ductility of CFRSCC contributes to greater energy absorption and deformation capacity, making it more resilient under dynamic and impact loads. In terms of sustainability, CFRSCC leverages agricultural waste products, thereby reducing the reliance on synthetic fibres and contributing to waste management and environmental conservation. The utilization of coconut fibres also offers economic benefits, particularly in regions where coconut production is prevalent, by providing a value-added use for by-products that would otherwise be discarded. In conclusion, CFRSCC presents a superior alternative to traditional SCC by addressing its limitations and offering enhanced mechanical performance, sustainability, and economic advantages. This innovative material holds significant potential for a wide range of construction applications, promoting more durable, resilient, and eco-friendly infrastructure development.","PeriodicalId":14228,"journal":{"name":"International Journal of Scientific Research in Science, Engineering and Technology","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141113019","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The study focuses on identifying suitable admixtures that can positively impact the workability, strength, and insulation capabilities of papercrete. Various types and concentrations of admixtures, such as fly ash, glass fiber, and glass powder, silica fumes, iron powder, jute fibre etc are introduced to the papercrete mix to assess their influence on the material's overall performance. The results of this study contribute to the broader goal of promoting sustainable construction practices by improving the performance and versatility of papercrete. By identifying effective admixtures, this study offers practical guidance for architects, engineers, and builders seeking environmentally friendly alternatives in the pursuit of more resilient and energy-efficient building materials.
{"title":"Experimental Study to Replace Conventional Bricks with Papercrete Bricks Incorporating Various Admixtures","authors":"Tarun Kumar, Varun Kumar, Sangam Kumar, Vikas, Ashish Juneja","doi":"10.32628/ijsrset2411311","DOIUrl":"https://doi.org/10.32628/ijsrset2411311","url":null,"abstract":"The study focuses on identifying suitable admixtures that can positively impact the workability, strength, and insulation capabilities of papercrete. Various types and concentrations of admixtures, such as fly ash, glass fiber, and glass powder, silica fumes, iron powder, jute fibre etc are introduced to the papercrete mix to assess their influence on the material's overall performance. The results of this study contribute to the broader goal of promoting sustainable construction practices by improving the performance and versatility of papercrete. By identifying effective admixtures, this study offers practical guidance for architects, engineers, and builders seeking environmentally friendly alternatives in the pursuit of more resilient and energy-efficient building materials.","PeriodicalId":14228,"journal":{"name":"International Journal of Scientific Research in Science, Engineering and Technology","volume":"124 30","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141125444","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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