Pub Date : 2024-07-31DOI: 10.22214/ijraset.2024.63580
Vipparthi Anitha
Abstract: The construction industry faces pressures to reduce its environmental footprint, prompting the exploration of sustainable materials that maintain or enhance conventional concrete's performance. This study investigates Alccofine 1203, a high-performance micro-fine material, as a partial cement replacement in concrete. The objective is to determine optimal Alccofine percentages for desired mechanical properties and sustainability benefits. We conducted experimental trials with concrete mixes where cement was replaced by Alccofine at increments of 5%, 10%, and 15%. Multiple concrete cubes were prepared and tested for compressive strength, flexural strength, workability, and durability. Fresh properties were evaluated using slump and flow tests, ensuring adequate workability, while long-term performance was assessed through durability tests, including permeability and chloride ion penetration. The results indicate that a 10% replacement of cement with Alccofine 1203 enhances the compressive strength and durability of concrete without compromising workability. Higher percentages showed varied results, necessitating further investigation to optimize the mix design. This study highlights the potential of Alccofine 1203 as a sustainable alternative to traditional cement, offering significant implications for eco-friendly construction practices. This research contributes to the field by providing empirical data on Alccofine 1203's effects in concrete, supporting the development of more sustainable building materials. Future work will focus on refining mix proportions and exploring Alccofine's impact on other concrete properties such as shrinkage and creep.
{"title":"Enhancing the Performance and Behaviour of M35 Alccofine 1203 Grade Concrete","authors":"Vipparthi Anitha","doi":"10.22214/ijraset.2024.63580","DOIUrl":"https://doi.org/10.22214/ijraset.2024.63580","url":null,"abstract":"Abstract: The construction industry faces pressures to reduce its environmental footprint, prompting the exploration of sustainable materials that maintain or enhance conventional concrete's performance. This study investigates Alccofine 1203, a high-performance micro-fine material, as a partial cement replacement in concrete. The objective is to determine optimal Alccofine percentages for desired mechanical properties and sustainability benefits. We conducted experimental trials with concrete mixes where cement was replaced by Alccofine at increments of 5%, 10%, and 15%. Multiple concrete cubes were prepared and tested for compressive strength, flexural strength, workability, and durability. Fresh properties were evaluated using slump and flow tests, ensuring adequate workability, while long-term performance was assessed through durability tests, including permeability and chloride ion penetration. The results indicate that a 10% replacement of cement with Alccofine 1203 enhances the compressive strength and durability of concrete without compromising workability. Higher percentages showed varied results, necessitating further investigation to optimize the mix design. This study highlights the potential of Alccofine 1203 as a sustainable alternative to traditional cement, offering significant implications for eco-friendly construction practices. This research contributes to the field by providing empirical data on Alccofine 1203's effects in concrete, supporting the development of more sustainable building materials. Future work will focus on refining mix proportions and exploring Alccofine's impact on other concrete properties such as shrinkage and creep.","PeriodicalId":13718,"journal":{"name":"International Journal for Research in Applied Science and Engineering Technology","volume":"30 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795329","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 : 2024-07-31DOI: 10.22214/ijraset.2024.63526
Shubhangi S. Patil, K. Muthamizhi, P. Kalaichelvi
Abstract: Study of Plate heat exchanger (PHE) with power law fluid is a very interesting topic now a days as there is improvement of thermal performance of heat exchanger. Power law fluids show complex flow behavior due to its rheological properties. The parameters which differ these power law fluids from Newtonian fluids are rheological properties like flow behavior index and power law index. Hence flow behavior index and power law index are the two parameters which affect the heat transfer rate. Now to enhance rate of heat transfer we should know how Nusselt number changes with change in flow behavior index and power law index. Hence the aim of present study was to observe how Nusselt number and friction factor changes with change in flow behavior index and power law index. For this purpose thermal performance of PHE have been studied with CorboxyMethyl Cellulose (CMC) and sodium alginate as a cold fluids. Comparison of Nusselt number and friction factor of CMC and sodium alginate have been done. It was observed that Nusselt number for CMC solution was more compared to sodium alginate solution with less friction factor than sodium alginate.
{"title":"Comparative Study of Heat Transfer and Flow Friction in Plate Heat Exchangers with CarboxyMethyl Cellulose and Sodium Alginate","authors":"Shubhangi S. Patil, K. Muthamizhi, P. Kalaichelvi","doi":"10.22214/ijraset.2024.63526","DOIUrl":"https://doi.org/10.22214/ijraset.2024.63526","url":null,"abstract":"Abstract: Study of Plate heat exchanger (PHE) with power law fluid is a very interesting topic now a days as there is improvement of thermal performance of heat exchanger. Power law fluids show complex flow behavior due to its rheological properties. The parameters which differ these power law fluids from Newtonian fluids are rheological properties like flow behavior index and power law index. Hence flow behavior index and power law index are the two parameters which affect the heat transfer rate. Now to enhance rate of heat transfer we should know how Nusselt number changes with change in flow behavior index and power law index. Hence the aim of present study was to observe how Nusselt number and friction factor changes with change in flow behavior index and power law index. For this purpose thermal performance of PHE have been studied with CorboxyMethyl Cellulose (CMC) and sodium alginate as a cold fluids. Comparison of Nusselt number and friction factor of CMC and sodium alginate have been done. It was observed that Nusselt number for CMC solution was more compared to sodium alginate solution with less friction factor than sodium alginate.","PeriodicalId":13718,"journal":{"name":"International Journal for Research in Applied Science and Engineering Technology","volume":"23 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795365","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 : 2024-07-31DOI: 10.22214/ijraset.2024.63704
Prerna Kumari
Abstract: Ultra-high-performance concrete, or UHPC, is a cementitious mixture that is distinguished by its exceptionally high compressive strength—more than 120 MPa as well as its remarkable toughness, tensile ductility, and longevity. Ground Granulated Blast Furnace Slag (GGBS) and Alccofine (AF) are commonly used in the matrix composition to increase the particle system's packing density and subsequently enhance the matrix's strength in order to guarantee that UHPC has the proper strength. To investigate the engineering properties of ternary blended UHPC with GGBS, AF, a comparative study was conducted. In comparison to the control UHPC mix, the ternary blended UHPC mix's mechanical and durability qualities were improved by the percentage variation of AF within specific bounds. In this study, the experimental work included mix proportioning and preparation of ternary blended UHPC specimens and various tests like Compressive Strength, Split Tensile Strength, Flexure Strength and RCPT (Rapid Chloride Penetration Test) were performed in the laboratory. The results show that under normal water curing conditions, the strength qualities of UHPC based on GGBS are considerable, up to a cement replacement level of 40%. In addition, compared to the binary counterpart, the mixture of 20 Percent AF and 40 Percent GGBS showed better mechanical and durability properties.
摘要：超高性能混凝土（UHPC）是一种水泥基混合物，具有极高的抗压强度（超过 120 兆帕）、韧性、拉伸延展性和使用寿命长等特点。基质成分中通常使用磨细高炉矿渣（GGBS）和铝灰（AF）来增加颗粒系统的堆积密度，从而提高基质的强度，以保证 UHPC 具有适当的强度。为了研究含有 GGBS 和 AF 的三元混合 UHPC 的工程特性，我们进行了一项比较研究。与对照 UHPC 混合料相比，三元混合 UHPC 混合料的机械和耐久性能在特定范围内通过 AF 的百分比变化得到改善。在这项研究中，实验工作包括混合配比和三元混合 UHPC 试样的制备，以及在实验室中进行的各种测试，如抗压强度、劈裂拉伸强度、挠曲强度和 RCPT（快速氯化物渗透测试）。结果表明，在正常水固化条件下，基于 GGBS 的超高强度混凝土的强度质量相当可观，最高可达 40% 的水泥替代水平。此外，与二元材料相比，含 20% AF 和 40% GGBS 的混合物具有更好的机械性能和耐久性能。
{"title":"Development of Ultra-High-Performance Concrete Using GGBS and Alccofine","authors":"Prerna Kumari","doi":"10.22214/ijraset.2024.63704","DOIUrl":"https://doi.org/10.22214/ijraset.2024.63704","url":null,"abstract":"Abstract: Ultra-high-performance concrete, or UHPC, is a cementitious mixture that is distinguished by its exceptionally high compressive strength—more than 120 MPa as well as its remarkable toughness, tensile ductility, and longevity. Ground Granulated Blast Furnace Slag (GGBS) and Alccofine (AF) are commonly used in the matrix composition to increase the particle system's packing density and subsequently enhance the matrix's strength in order to guarantee that UHPC has the proper strength. To investigate the engineering properties of ternary blended UHPC with GGBS, AF, a comparative study was conducted. In comparison to the control UHPC mix, the ternary blended UHPC mix's mechanical and durability qualities were improved by the percentage variation of AF within specific bounds. In this study, the experimental work included mix proportioning and preparation of ternary blended UHPC specimens and various tests like Compressive Strength, Split Tensile Strength, Flexure Strength and RCPT (Rapid Chloride Penetration Test) were performed in the laboratory. The results show that under normal water curing conditions, the strength qualities of UHPC based on GGBS are considerable, up to a cement replacement level of 40%. In addition, compared to the binary counterpart, the mixture of 20 Percent AF and 40 Percent GGBS showed better mechanical and durability properties.","PeriodicalId":13718,"journal":{"name":"International Journal for Research in Applied Science and Engineering Technology","volume":"44 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795400","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 : 2024-07-31DOI: 10.22214/ijraset.2024.63676
R. K. Sree
Abstract: While polysomnography (PSG) is the gold standard for detecting sleep apnea (SA), the insertion of several disruptive devices may impair the quality of the patient's sleep, and its interpretation requires specialised training from a sleep scientist or technician. Heart rate variability (HRV) and electrocardiogram (ECG)-derived respiration (EDR) have been used in recent years to automatically detect SA and lessen the negative effects of PSG. Currently, the majority of suggested methods concentrate on feature engineering and machine learning (ML) techniques, which call for previous expert knowledge and expertise. This paper uses a deep learning (DL) framework based on 1D and 2D deep CNN with empirical mode decomposition (EMD) of a preprocessed ECG signal to propose a SA detection method to distinguish between a normal and apnea occurrence. The EMD is the perfect tool for removing crucial elements that characterise the underlying physiological or biological processes. Based on 5- fold cross-validation (5fold-CV), the segment-level classification performance had 93.8% accuracy with 94.9% sensitivity and 92.7% specificity. As a result, this work effectively created a unique and reliable SA detection system based on the ECG decomposed signal utilising EMD and deep CNN.
摘要：虽然多导睡眠图（PSG）是检测睡眠呼吸暂停（SA）的黄金标准，但插入多个干扰性设备可能会影响患者的睡眠质量，而且其解读需要睡眠科学家或技术人员的专业培训。近年来，心率变异性（HRV）和心电图（ECG）推导的呼吸（EDR）已被用于自动检测 SA 并减轻 PSG 的负面影响。目前，大多数建议的方法都集中在特征工程和机器学习（ML）技术上，这需要先前的专业知识和专业技能。本文使用基于一维和二维深度 CNN 的深度学习（DL）框架，结合预处理心电信号的经验模式分解（EMD），提出了一种 SA 检测方法，以区分正常和呼吸暂停的发生。EMD 是去除表征潜在生理或生物过程的关键元素的完美工具。基于 5 倍交叉验证（5fold-CV），分段级分类的准确率为 93.8%，灵敏度为 94.9%，特异度为 92.7%。因此，这项研究利用 EMD 和深度 CNN 有效地创建了一个基于心电图分解信号的独特而可靠的 SA 检测系统。
{"title":"A Single-Lead Electrocardiogram-Derivative Empirical Mode Decomposition-Based Deep Learning Model for Sleep Apnea Identification","authors":"R. K. Sree","doi":"10.22214/ijraset.2024.63676","DOIUrl":"https://doi.org/10.22214/ijraset.2024.63676","url":null,"abstract":"Abstract: While polysomnography (PSG) is the gold standard for detecting sleep apnea (SA), the insertion of several disruptive devices may impair the quality of the patient's sleep, and its interpretation requires specialised training from a sleep scientist or technician. Heart rate variability (HRV) and electrocardiogram (ECG)-derived respiration (EDR) have been used in recent years to automatically detect SA and lessen the negative effects of PSG. Currently, the majority of suggested methods concentrate on feature engineering and machine learning (ML) techniques, which call for previous expert knowledge and expertise. This paper uses a deep learning (DL) framework based on 1D and 2D deep CNN with empirical mode decomposition (EMD) of a preprocessed ECG signal to propose a SA detection method to distinguish between a normal and apnea occurrence. The EMD is the perfect tool for removing crucial elements that characterise the underlying physiological or biological processes. Based on 5- fold cross-validation (5fold-CV), the segment-level classification performance had 93.8% accuracy with 94.9% sensitivity and 92.7% specificity. As a result, this work effectively created a unique and reliable SA detection system based on the ECG decomposed signal utilising EMD and deep CNN.","PeriodicalId":13718,"journal":{"name":"International Journal for Research in Applied Science and Engineering Technology","volume":"43 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795408","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 : 2024-07-31DOI: 10.22214/ijraset.2024.63519
S. Krishnaveni
Abstract: In contemporary times, road accidents stand out as significant contributors to human fatalities. Among these, motorcycle accidents are prevalent and often result in severe injuries. Helmets serve as crucial protective gear for motorcyclists, yet adherence to helmet laws remains lacking. To overcome this issue, a system that uses image processing and convolutional neural networks (CNNs) has been created. This system encompasses motorbike detection, helmet classification (helmet vs. no helmet), and motorbike license plate recognition. Motorbikes are initially identified using YOLOV3. Afterward, a CNN evaluates if the biker is wearing a helmet. In cases where a helmet violation is detected, the system utilizes tesseract OCR to recognize the motorcycle's license plate, facilitating enforcement measures.
{"title":"Advancements in Safety: Utilizing CNNs for Helmet Detection and License Plate Recognition","authors":"S. Krishnaveni","doi":"10.22214/ijraset.2024.63519","DOIUrl":"https://doi.org/10.22214/ijraset.2024.63519","url":null,"abstract":"Abstract: In contemporary times, road accidents stand out as significant contributors to human fatalities. Among these, motorcycle accidents are prevalent and often result in severe injuries. Helmets serve as crucial protective gear for motorcyclists, yet adherence to helmet laws remains lacking. To overcome this issue, a system that uses image processing and convolutional neural networks (CNNs) has been created. This system encompasses motorbike detection, helmet classification (helmet vs. no helmet), and motorbike license plate recognition. Motorbikes are initially identified using YOLOV3. Afterward, a CNN evaluates if the biker is wearing a helmet. In cases where a helmet violation is detected, the system utilizes tesseract OCR to recognize the motorcycle's license plate, facilitating enforcement measures.","PeriodicalId":13718,"journal":{"name":"International Journal for Research in Applied Science and Engineering Technology","volume":"15 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795467","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 : 2024-07-31DOI: 10.22214/ijraset.2024.63529
Atharva Gandhi
Abstract: A novel broadband antenna designed for long-range 5G communication in the sub-6GHz frequency band is presented. Through rigorous optimization and simulation, the antenna achieved high gain, low side-lobe levels, and uniform radiationpatterns. Experimental validation confirms its efficacy, offering a compact and robust solution for advancing global connectivity in next-generation wireless networks
{"title":"Broadband Antenna Operating in Sub 6GHz Frequency for Long Range 5G Communication","authors":"Atharva Gandhi","doi":"10.22214/ijraset.2024.63529","DOIUrl":"https://doi.org/10.22214/ijraset.2024.63529","url":null,"abstract":"Abstract: A novel broadband antenna designed for long-range 5G communication in the sub-6GHz frequency band is presented. Through rigorous optimization and simulation, the antenna achieved high gain, low side-lobe levels, and uniform radiationpatterns. Experimental validation confirms its efficacy, offering a compact and robust solution for advancing global connectivity in next-generation wireless networks","PeriodicalId":13718,"journal":{"name":"International Journal for Research in Applied Science and Engineering Technology","volume":"35 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795486","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 : 2024-07-31DOI: 10.22214/ijraset.2024.63481
P. Gokul
Abstract: In today's society, the escalating issue of improper waste disposal looms large. As population density swells, so does the volume of waste produced, straining landfill capacities, polluting the environment, and posing grave health risks. Traditional waste collection approaches fall short, proving costly, laborious, and inadequate in addressing the mounting problem. This underscores the urgent need for innovative solutions. Enter the automated accumulator: a pioneering system designed to revolutionize waste management by streamlining processes and boosting efficiency. Combining cutting-edge sensor technology, robotics, and data analytics, the automated accumulator redefines waste management efficiency. Through instantaneous waste identification and categorization, it revolutionizes resource distribution, slashes manual labor requirements, and curtails environmental pollution.
{"title":"Design and Fabrication of Automated Accumulator for Waste Management","authors":"P. Gokul","doi":"10.22214/ijraset.2024.63481","DOIUrl":"https://doi.org/10.22214/ijraset.2024.63481","url":null,"abstract":"Abstract: In today's society, the escalating issue of improper waste disposal looms large. As population density swells, so does the volume of waste produced, straining landfill capacities, polluting the environment, and posing grave health risks. Traditional waste collection approaches fall short, proving costly, laborious, and inadequate in addressing the mounting problem. This underscores the urgent need for innovative solutions. Enter the automated accumulator: a pioneering system designed to revolutionize waste management by streamlining processes and boosting efficiency. Combining cutting-edge sensor technology, robotics, and data analytics, the automated accumulator redefines waste management efficiency. Through instantaneous waste identification and categorization, it revolutionizes resource distribution, slashes manual labor requirements, and curtails environmental pollution.","PeriodicalId":13718,"journal":{"name":"International Journal for Research in Applied Science and Engineering Technology","volume":"7 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795602","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 : 2024-07-31DOI: 10.22214/ijraset.2024.63709
Ranjith K
Abstract: The market for second-hand luxury cars in India is witnessing a significant surge, expected to grow at a rate of 16.30% from 2024 to 2032. This growth is fueled by increased car manufacturing, rising disposable incomes, and a shift in consumer preferences towards luxury brands. However, accurately determining the resale value of these vehicles presents a challenge due to various influencing factors. In this dynamic market, informed decision-making is crucial for luxury car buyers. Digital platforms have revolutionized access to real-time market data, helping both buyers and sellers stay updated on pricing trends. Our research explores the complexities of predicting prices for pre-owned luxury cars and introduces a predictive analytics framework using advanced machine learning algorithms. We collected and preprocessed a comprehensive dataset and conducted an in-depth exploratory data analysis. Various regression techniques, including Linear Regression, Decision Tree, Random Forest, and Extreme Gradient Boosting, were employed to forecast prices. These models were evaluated using metrics such as Mean Absolute Error (MAE), Mean Squared Error (MSE), and Root Mean Squared Error (RMSE) to identify the most accurate predictive model. This study offers a systematic solution for price prediction, enhancing the buying process for stakeholders in the second-hand luxury car market
{"title":"Prediction of Resale Value of Pre-Owned Luxury Cars in the Indian Market Employing Machine Learning Techniques","authors":"Ranjith K","doi":"10.22214/ijraset.2024.63709","DOIUrl":"https://doi.org/10.22214/ijraset.2024.63709","url":null,"abstract":"Abstract: The market for second-hand luxury cars in India is witnessing a significant surge, expected to grow at a rate of 16.30% from 2024 to 2032. This growth is fueled by increased car manufacturing, rising disposable incomes, and a shift in consumer preferences towards luxury brands. However, accurately determining the resale value of these vehicles presents a challenge due to various influencing factors. In this dynamic market, informed decision-making is crucial for luxury car buyers. Digital platforms have revolutionized access to real-time market data, helping both buyers and sellers stay updated on pricing trends. Our research explores the complexities of predicting prices for pre-owned luxury cars and introduces a predictive analytics framework using advanced machine learning algorithms. We collected and preprocessed a comprehensive dataset and conducted an in-depth exploratory data analysis. Various regression techniques, including Linear Regression, Decision Tree, Random Forest, and Extreme Gradient Boosting, were employed to forecast prices. These models were evaluated using metrics such as Mean Absolute Error (MAE), Mean Squared Error (MSE), and Root Mean Squared Error (RMSE) to identify the most accurate predictive model. This study offers a systematic solution for price prediction, enhancing the buying process for stakeholders in the second-hand luxury car market","PeriodicalId":13718,"journal":{"name":"International Journal for Research in Applied Science and Engineering Technology","volume":"50 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795269","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 : 2024-07-31DOI: 10.22214/ijraset.2024.63613
Sakshi Kirar, D. Maru, Rakesh Patwa
Abstract: This study investigates the impact of international wind loading regulations on tall buildings by analyzing major codes from the United States (ASCE 7), Australia (AS/NZS 1170.2), Canada (NBC), and India (IS 875). The research reveals significant differences in the estimation of wind loads, attributed to variations in exposure categories, wind speed profiles, and calculation methodologies. Notably, the gust loading factor is commonly used across these standards. The parameters used to estimate wind loads by the international standards are also discussed. The findings underscore the necessity for global wind load limitations and emphasize the importance of considering local factors to ensure the structural safety and integrity of tall buildings under varying wind conditions.
{"title":"Wind-Induced Responses in Tall Buildings Using International Standards: A Review","authors":"Sakshi Kirar, D. Maru, Rakesh Patwa","doi":"10.22214/ijraset.2024.63613","DOIUrl":"https://doi.org/10.22214/ijraset.2024.63613","url":null,"abstract":"Abstract: This study investigates the impact of international wind loading regulations on tall buildings by analyzing major codes from the United States (ASCE 7), Australia (AS/NZS 1170.2), Canada (NBC), and India (IS 875). The research reveals significant differences in the estimation of wind loads, attributed to variations in exposure categories, wind speed profiles, and calculation methodologies. Notably, the gust loading factor is commonly used across these standards. The parameters used to estimate wind loads by the international standards are also discussed. The findings underscore the necessity for global wind load limitations and emphasize the importance of considering local factors to ensure the structural safety and integrity of tall buildings under varying wind conditions.","PeriodicalId":13718,"journal":{"name":"International Journal for Research in Applied Science and Engineering Technology","volume":"23 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795355","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 : 2024-07-31DOI: 10.22214/ijraset.2024.63602
Adil Ahmad, Dr. Manendra Pratap Verma, Dr. Vivek Soni
Abstract: Fly ash and Metakaolin based geopolymer concrete offers a sustainable and effective solution to reduce the carbon footprint of the construction industry and manage industrial waste. This review highlights the significant progress made in the research and development of GPC over the past two decades. However, further research is needed to address the challenges and fully realize the potential of geopolymer technology. Future efforts should focus on standardization, long-term performance evaluation, and economic viability to facilitate the widespread adoption of GPC in the construction industry.
{"title":"Utilizes Industrial By-Products Fly Ash and Metakaolin Instead of Traditional Cement","authors":"Adil Ahmad, Dr. Manendra Pratap Verma, Dr. Vivek Soni","doi":"10.22214/ijraset.2024.63602","DOIUrl":"https://doi.org/10.22214/ijraset.2024.63602","url":null,"abstract":"Abstract: Fly ash and Metakaolin based geopolymer concrete offers a sustainable and effective solution to reduce the carbon footprint of the construction industry and manage industrial waste. This review highlights the significant progress made in the research and development of GPC over the past two decades. However, further research is needed to address the challenges and fully realize the potential of geopolymer technology. Future efforts should focus on standardization, long-term performance evaluation, and economic viability to facilitate the widespread adoption of GPC in the construction industry.","PeriodicalId":13718,"journal":{"name":"International Journal for Research in Applied Science and Engineering Technology","volume":"54 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795104","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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