Pub Date : 2024-07-04DOI: 10.52783/tjjpt.v45.i03.7253
Neeru Saxena, Ajeet Singh, Sps Chauhan
Brain tumors are a serious health threat in adults. These fast-growing abnormal cell masses disrupt normal brain function. Doctors use various imaging techniques to identify the specific type, size, and location of brain tumors in patients. Accurately identifying and classifying brain tumors is crucial for understanding how they develop and progress. Magnetic Resonance Imaging (MRI), a well-established medical imaging technique, plays a vital role in this process by assisting radiologists in investigating the location of the tumor. Previous models frequently encounter a compromise between accuracy and computational efficiency, lacking an approach that successfully integrates both aspects.This study introduces an innovative ensemble model termed as “XMob Approach” that combines the deep features extraction abilities of Xception with computational efficiency of MobleNet for binary classification of brain Tumor. The Xmob Approach leverages the strengths of both architectures : Xception depthwise seperable convolutions allow for detailed feature extraction whereas MobileNet’s lightweight structure ensures efficient computation making it suitable for real life application. This combination aims to enhance in medical diagnostics, promising enhanced accuracy and efficiency. This study explores the potential of integrating these pre-trained architectures to provide real-time, automated diagnostic assistance, improving the speed and precision of brain tumor detection. In our methodology pre-processed MRI scans undergo feature extraction through Xception model, capturing complicated patterns indicative of tumor presence. Simultaneously MobileNet processed these images emphasizing computational efficiency without compromising on performance.The output of both the modesl are then integrated using ensemble technique to improve overall classification accuracy. By integrating the complementary strengths of Xception and MobileNet , the XMob Approach represent a significant step towards the field of medical diagnostic promising improved outcomes for patients through advanced technology. DOI: https://doi.org/10.52783/tjjpt.v45.i03.7253
{"title":"Ensemble XMOB Approach for Brain Tumor Detection Based on Feature Extraction","authors":"Neeru Saxena, Ajeet Singh, Sps Chauhan","doi":"10.52783/tjjpt.v45.i03.7253","DOIUrl":"https://doi.org/10.52783/tjjpt.v45.i03.7253","url":null,"abstract":"Brain tumors are a serious health threat in adults. These fast-growing abnormal cell masses disrupt normal brain function. Doctors use various imaging techniques to identify the specific type, size, and location of brain tumors in patients. Accurately identifying and classifying brain tumors is crucial for understanding how they develop and progress. Magnetic Resonance Imaging (MRI), a well-established medical imaging technique, plays a vital role in this process by assisting radiologists in investigating the location of the tumor. Previous models frequently encounter a compromise between accuracy and computational efficiency, lacking an approach that successfully integrates both aspects.This study introduces an innovative ensemble model termed as “XMob Approach” that combines the deep features extraction abilities of Xception with computational efficiency of MobleNet for binary classification of brain Tumor. The Xmob Approach leverages the strengths of both architectures : Xception depthwise seperable convolutions allow for detailed feature extraction whereas MobileNet’s lightweight structure ensures efficient computation making it suitable for real life application. This combination aims to enhance in medical diagnostics, promising enhanced accuracy and efficiency. This study explores the potential of integrating these pre-trained architectures to provide real-time, automated diagnostic assistance, improving the speed and precision of brain tumor detection. In our methodology pre-processed MRI scans undergo feature extraction through Xception model, capturing complicated patterns indicative of tumor presence. Simultaneously MobileNet processed these images emphasizing computational efficiency without compromising on performance.The output of both the modesl are then integrated using ensemble technique to improve overall classification accuracy. By integrating the complementary strengths of Xception and MobileNet , the XMob Approach represent a significant step towards the field of medical diagnostic promising improved outcomes for patients through advanced technology.\u0000DOI: https://doi.org/10.52783/tjjpt.v45.i03.7253","PeriodicalId":39883,"journal":{"name":"Tuijin Jishu/Journal of Propulsion Technology","volume":"65 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141837806","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 : 2024-07-04DOI: 10.52783/tjjpt.v45.i03.7347
Vinodh Kumar
A vertex set is a double – dominating set, if each vertex is adjacent to at least two vertices in . The minimum cardinality of a double dominating set of G, denoted by is called the double domination number of G. A double dominating set S of a graph is an inverse double dominating set, if contains a double dominating set say of . Then is called an inverse double dominating set. The inverse double domination number of is the minimum cardinality of an inverse double dominating set. In this paper, we obtain exact value of for some standard graphs and also, we establish some general results on this parameters. DOI: https://doi.org/10.52783/tjjpt.v45.i03.7347
如果每个顶点都至少与 .G 中的两个顶点相邻，则该顶点集为双支配集。如果一个图的双支配集 S 包含一个双支配集，即 S 的双支配集，则称为逆双支配集。本文中，我们获得了一些标准图的反向双支配集的精确值，并建立了一些关于该参数的一般结果。DOI: https://doi.org/10.52783/tjjpt.v45.i03.7347
{"title":"Inverse Double Domination in Graphs","authors":"Vinodh Kumar","doi":"10.52783/tjjpt.v45.i03.7347","DOIUrl":"https://doi.org/10.52783/tjjpt.v45.i03.7347","url":null,"abstract":"A vertex set is a double – dominating set, if each vertex is adjacent to at least two vertices in . The minimum cardinality of a double dominating set of G, denoted by is called the double domination number of G.\u0000A double dominating set S of a graph is an inverse double dominating set, if contains a double dominating set say of . Then is called an inverse double dominating set. The inverse double domination number of is the minimum cardinality of an inverse double dominating set.\u0000In this paper, we obtain exact value of for some standard graphs and also, we establish some general results on this parameters.\u0000DOI: https://doi.org/10.52783/tjjpt.v45.i03.7347","PeriodicalId":39883,"journal":{"name":"Tuijin Jishu/Journal of Propulsion Technology","volume":"62 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141837821","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 : 2024-02-16DOI: 10.52783/tjjpt.v45.i01.4934
Lukram Dhanachandra Singh, Preetisudha Meher
As the Internet of Things (IoT) and Blockchain technologies continue to assert their dominance in the technical landscape, the demand to enhance security measures becomes foremost. In this context, Physical Unclonable Functions (PUFs) are widely used hardware security primitives that can be used to solve a wide range of security issues. To support hardware security solutions, this paper presents an extensive overview and analysis of the existing Physical Unclonable Functions (PUFs) used as True Random Number Generators (TRNGs). Recognizing the shortcomings of current PUF designs, we propose a configurable Arbiter PUF design employing Digital Clock Manager (DCM)-induced metastability as an entropy source, presenting a robust solution for evolving hardware security. To mitigate the adverse consequences of metastability, the proposed Arbiter PUF includes a Carry Chain primitive with four Flip-Flop clones. Acknowledging the constantly evolving IoT and Blockchain environment, the suggested configurable Arbiter PUF is made to satisfy the highest security standards. By exploiting the inherent variations in FPGA technology, we aim to reduce system resource and area consumption, aligning with the efficiency criteria of modern applications. The system's performance is additionally enhanced by an on-chip post-processing based on DSP. Simulation results demonstrate successful implementation on a Xilinx Basys-3 FPGA board, offering a scalable and efficient solution. The generated sequences of the proposed PUF undergo rigorous testing, including National Institute of Standards and Technology (NIST) statistical tests for uniqueness, reliability, and randomness. This holistic approach aims to improve the PUF's performance and security.
{"title":"Advancing Hardware Security: A Review and Novel Design of Configurable Arbiter PUF with DCM-Induced Metastability for Enhanced Resource Efficiency and Unpredictability","authors":"Lukram Dhanachandra Singh, Preetisudha Meher","doi":"10.52783/tjjpt.v45.i01.4934","DOIUrl":"https://doi.org/10.52783/tjjpt.v45.i01.4934","url":null,"abstract":"As the Internet of Things (IoT) and Blockchain technologies continue to assert their dominance in the technical landscape, the demand to enhance security measures becomes foremost. In this context, Physical Unclonable Functions (PUFs) are widely used hardware security primitives that can be used to solve a wide range of security issues. To support hardware security solutions, this paper presents an extensive overview and analysis of the existing Physical Unclonable Functions (PUFs) used as True Random Number Generators (TRNGs). Recognizing the shortcomings of current PUF designs, we propose a configurable Arbiter PUF design employing Digital Clock Manager (DCM)-induced metastability as an entropy source, presenting a robust solution for evolving hardware security. To mitigate the adverse consequences of metastability, the proposed Arbiter PUF includes a Carry Chain primitive with four Flip-Flop clones. Acknowledging the constantly evolving IoT and Blockchain environment, the suggested configurable Arbiter PUF is made to satisfy the highest security standards. By exploiting the inherent variations in FPGA technology, we aim to reduce system resource and area consumption, aligning with the efficiency criteria of modern applications. The system's performance is additionally enhanced by an on-chip post-processing based on DSP. Simulation results demonstrate successful implementation on a Xilinx Basys-3 FPGA board, offering a scalable and efficient solution. The generated sequences of the proposed PUF undergo rigorous testing, including National Institute of Standards and Technology (NIST) statistical tests for uniqueness, reliability, and randomness. This holistic approach aims to improve the PUF's performance and security. \u0000 ","PeriodicalId":39883,"journal":{"name":"Tuijin Jishu/Journal of Propulsion Technology","volume":"17 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139960734","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 : 2023-12-10DOI: 10.52783/tjjpt.v44.i6.3484
A. Prashanthi, Dr. R. Ravinder Reddy
In the dominion of cybersecurity, the prime tasks revolve around recognizing and moderating network breaches. This research paper impacts the widely recognized CICIDS2017 dataset to conduct a complete evaluation and comparison of numerous deep learning and machine learning representations designed for Anomaly-detection by the analysis of a diverse array of algorithms, spanning from traditional methodologies like logistic regression to more modern advances such as K-Nearest Neighbors (KNN) and state-of-the-art Swift-Net neural networks. The research also delves into the realism of employing dimensionality reduction and feature selection procedures, remarkably Principal Component Analysis (PCA) in addition with Gaussian Mixture Models (GMM). The implications of this consideration are substantial for the enhancement of network security with an emphasis of the efficiency of PCA and GMM in facilitating data visualization, enabling a deeper understanding of network behavior. Moreover, the paper highlights the potential of Swift-Net for real-time threat detection, signifying its relevance in the evolving cybersecurity environment. As the cybersecurity domain undergoes constant transformation, this research serves as a valuable reserve, paving the way for more effective Anomaly detection techniques and the employment of efficient network security solutions. These outcomes offer acute insights to reinforce network safety.
{"title":"Neuroguard:Unveiling the Strength of Lightfooted Anomaly Detection with Swift-Net Neural Networks in Countering Network Threats","authors":"A. Prashanthi, Dr. R. Ravinder Reddy","doi":"10.52783/tjjpt.v44.i6.3484","DOIUrl":"https://doi.org/10.52783/tjjpt.v44.i6.3484","url":null,"abstract":"In the dominion of cybersecurity, the prime tasks revolve around recognizing and moderating network breaches. This research paper impacts the widely recognized CICIDS2017 dataset to conduct a complete evaluation and comparison of numerous deep learning and machine learning representations designed for Anomaly-detection by the analysis of a diverse array of algorithms, spanning from traditional methodologies like logistic regression to more modern advances such as K-Nearest Neighbors (KNN) and state-of-the-art Swift-Net neural networks. The research also delves into the realism of employing dimensionality reduction and feature selection procedures, remarkably Principal Component Analysis (PCA) in addition with Gaussian Mixture Models (GMM). The implications of this consideration are substantial for the enhancement of network security with an emphasis of the efficiency of PCA and GMM in facilitating data visualization, enabling a deeper understanding of network behavior. Moreover, the paper highlights the potential of Swift-Net for real-time threat detection, signifying its relevance in the evolving cybersecurity environment. As the cybersecurity domain undergoes constant transformation, this research serves as a valuable reserve, paving the way for more effective Anomaly detection techniques and the employment of efficient network security solutions. These outcomes offer acute insights to reinforce network safety.","PeriodicalId":39883,"journal":{"name":"Tuijin Jishu/Journal of Propulsion Technology","volume":"1141 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138982441","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 : 2023-12-06DOI: 10.52783/tjjpt.v44.i5.2842
Anam Ashiq, Guoxing Zhang, A. Tabasam
The present study endeavours to examine the moderating role of corporate social responsibility (CSR) in the interaction between managerial ability (M.A.) and firm performance (F.P.). For estimation, the study analysed an unbalanced panel of 219 non-financial listed firms on the Pakistan Stock Exchange (PSX) for 2008-2021. Fixed effect regression with robust standard errors clustered at the firm level is applied to address the concerns of heteroscedasticity and autocorrelation. Findings show that overall managerial ability enhances firm performance. Furthermore, research has established a positive correlation between CSR and a company's financial performance. In addition, the interaction between M.A. and CSR has a substantial positive correlation with F.P. The results reveal that CSR positively moderates the linkage between M.A. and F.P. and behaves as a complement. The ongoing research is limited to the non-financial sector; however, the study findings are unquestionably valuable for corporate investors and managers in the context of developing economies.
本研究旨在探讨企业社会责任（CSR）在管理能力（M.A.）与公司业绩（F.P.）之间的相互作用中的调节作用。为了进行估计，本研究分析了 2008-2021 年巴基斯坦证券交易所（PSX）219 家非金融类上市公司的非平衡面板。为解决异方差和自相关的问题，采用了固定效应回归和公司层面的稳健标准误差聚类。研究结果表明，整体管理能力会提高公司业绩。此外，研究还确定了企业社会责任与公司财务绩效之间的正相关关系。此外，M.A.与企业社会责任之间的交互作用与 F.P. 有很大的正相关性。研究结果表明，企业社会责任对 M.A. 与 F.P. 之间的联系起着积极的调节作用，是一种补充。目前的研究仅限于非金融部门，但研究结果对发展中经济体的企业投资者和管理者无疑是有价值的。
{"title":"Moderating Role of Corporate Social Responsibility for the Effect of Managerial Ability on Financial Performance: Evidence from an Emerging Economy","authors":"Anam Ashiq, Guoxing Zhang, A. Tabasam","doi":"10.52783/tjjpt.v44.i5.2842","DOIUrl":"https://doi.org/10.52783/tjjpt.v44.i5.2842","url":null,"abstract":"The present study endeavours to examine the moderating role of corporate social responsibility (CSR) in the interaction between managerial ability (M.A.) and firm performance (F.P.). For estimation, the study analysed an unbalanced panel of 219 non-financial listed firms on the Pakistan Stock Exchange (PSX) for 2008-2021. Fixed effect regression with robust standard errors clustered at the firm level is applied to address the concerns of heteroscedasticity and autocorrelation. Findings show that overall managerial ability enhances firm performance. Furthermore, research has established a positive correlation between CSR and a company's financial performance. In addition, the interaction between M.A. and CSR has a substantial positive correlation with F.P. The results reveal that CSR positively moderates the linkage between M.A. and F.P. and behaves as a complement. The ongoing research is limited to the non-financial sector; however, the study findings are unquestionably valuable for corporate investors and managers in the context of developing economies. ","PeriodicalId":39883,"journal":{"name":"Tuijin Jishu/Journal of Propulsion Technology","volume":"28 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138984363","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 : 2023-12-03DOI: 10.52783/tjjpt.v44.i5.2740
Dilip Srinivas, Dr. N. Suresh
Geopolymer Concrete (GPC), an innovation in the field of green concrete, is the best alternative to cement in the construction industry. It reduces the carbon footprint vis-a-vis conventional cement production, thus reducing the potential for global warming. Adding boric acid during GPC production improves workability. The scope of this work is to determine the best possible design mix, created with the backing of the Taguchi analysis. The results detail the optimum combination of ingredients required to meet both fresh and hardened properties of GPC at ambient and elevated temperatures.
{"title":"A Comprehensive Study on Geopolymer Concrete Optimized by Taguchi Method Subjected to Elevated Temperature","authors":"Dilip Srinivas, Dr. N. Suresh","doi":"10.52783/tjjpt.v44.i5.2740","DOIUrl":"https://doi.org/10.52783/tjjpt.v44.i5.2740","url":null,"abstract":"Geopolymer Concrete (GPC), an innovation in the field of green concrete, is the best alternative to cement in the construction industry. It reduces the carbon footprint vis-a-vis conventional cement production, thus reducing the potential for global warming. Adding boric acid during GPC production improves workability. The scope of this work is to determine the best possible design mix, created with the backing of the Taguchi analysis. The results detail the optimum combination of ingredients required to meet both fresh and hardened properties of GPC at ambient and elevated temperatures.","PeriodicalId":39883,"journal":{"name":"Tuijin Jishu/Journal of Propulsion Technology","volume":"51 24","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138605034","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 : 2023-12-03DOI: 10.52783/tjjpt.v44.i5.2728
Shruthi H G, Puneeth K, Jyothi D N
This comprehensive review explores the diverse range of masonry blocks commonly utilized in contemporary wall construction. It aims to provide insights into the various types of masonry blocks available in the construction industry, their characteristics, applications, and advantages. By examining these materials in detail, this review contributes valuable information to architects, engineers, builders, and construction professionals, assisting them in making informed decisions about the selection and use of masonry blocks in their projects. Additionally, the abstract may summarize the key findings, trends, and considerations discussed in the full review.
{"title":"A Review of Various Masonry Blocks Employed in Wall Construction","authors":"Shruthi H G, Puneeth K, Jyothi D N","doi":"10.52783/tjjpt.v44.i5.2728","DOIUrl":"https://doi.org/10.52783/tjjpt.v44.i5.2728","url":null,"abstract":"This comprehensive review explores the diverse range of masonry blocks commonly utilized in contemporary wall construction. It aims to provide insights into the various types of masonry blocks available in the construction industry, their characteristics, applications, and advantages. By examining these materials in detail, this review contributes valuable information to architects, engineers, builders, and construction professionals, assisting them in making informed decisions about the selection and use of masonry blocks in their projects. Additionally, the abstract may summarize the key findings, trends, and considerations discussed in the full review.","PeriodicalId":39883,"journal":{"name":"Tuijin Jishu/Journal of Propulsion Technology","volume":"49 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138605243","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 : 2023-12-03DOI: 10.52783/tjjpt.v44.i5.2729
Prachi G. Shah, Nirpex A. Patel, Vijay R. Panchal, M. S. Patel
In the contemporary urban landscape, rapid technological advancements necessitate adaptations in industrial and residential structures to accommodate new utilities such as ducts, pipes, and passages. This study focuses on formulating a design methodology and aid for recovering shear capacity losses resulting from openings in existing solid deep beams. A novel design approach involves the implementation of steel elementary configurations around the openings in deep beams, enhancing their shear resistance. The study employs a systematic investigation, integrating simulation through the ABAQUS program, to assess the effectiveness of the proposed steel configurations in restoring shear capacity. The research explores three distinct steel configurations, emphasizing the synergy between concrete and steel materials. Concrete Damage Plasticity models, incorporated within ABAQUS, enable detailed quasi-static analysis to unravel the intricate behaviour of deep beams subjected to shear openings and strengthened with proposed steel formations. Specifically, a deep beam model featuring a combination of a full-length steel plate welded with a steel cylinder around the opening (EDSBPD) exhibited full capacity restoration, achieving an efficiency of 1.0064 compared to solid deep beams. Leveraging ABAQUS simulations and adhering to ACI 318-14 specifications, a parametric study was conducted to investigate the EDSBPD for design assistance. This study led to the development of a dimensionless equation that calculates the shear strength of deep beams, accounting for the impact of the thickness-to-width ratio of the steel configuration around the opening. This equation provides a valuable tool for incorporating openings into solid deep beams without compromising shear strength.
{"title":"An Advanced Formulation for Rehabilitating Shear Strength in Deep Beams with Shear Openings through Integration of Varied Steel Configurations for Utility Provisions","authors":"Prachi G. Shah, Nirpex A. Patel, Vijay R. Panchal, M. S. Patel","doi":"10.52783/tjjpt.v44.i5.2729","DOIUrl":"https://doi.org/10.52783/tjjpt.v44.i5.2729","url":null,"abstract":"In the contemporary urban landscape, rapid technological advancements necessitate adaptations in industrial and residential structures to accommodate new utilities such as ducts, pipes, and passages. This study focuses on formulating a design methodology and aid for recovering shear capacity losses resulting from openings in existing solid deep beams. A novel design approach involves the implementation of steel elementary configurations around the openings in deep beams, enhancing their shear resistance. The study employs a systematic investigation, integrating simulation through the ABAQUS program, to assess the effectiveness of the proposed steel configurations in restoring shear capacity. The research explores three distinct steel configurations, emphasizing the synergy between concrete and steel materials. Concrete Damage Plasticity models, incorporated within ABAQUS, enable detailed quasi-static analysis to unravel the intricate behaviour of deep beams subjected to shear openings and strengthened with proposed steel formations. Specifically, a deep beam model featuring a combination of a full-length steel plate welded with a steel cylinder around the opening (EDSBPD) exhibited full capacity restoration, achieving an efficiency of 1.0064 compared to solid deep beams. Leveraging ABAQUS simulations and adhering to ACI 318-14 specifications, a parametric study was conducted to investigate the EDSBPD for design assistance. This study led to the development of a dimensionless equation that calculates the shear strength of deep beams, accounting for the impact of the thickness-to-width ratio of the steel configuration around the opening. This equation provides a valuable tool for incorporating openings into solid deep beams without compromising shear strength.","PeriodicalId":39883,"journal":{"name":"Tuijin Jishu/Journal of Propulsion Technology","volume":"44 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138605258","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 : 2023-12-03DOI: 10.52783/tjjpt.v44.i5.2737
Dr. Seshadri Sekhar N
Corrosion is a very big threat to the civil Engineering Structures especially on the coastal areas. Apart from the corrosion, the tidal forces on the structures act as the cyclic loading which in turn damage the structures by way of cyclic loading. There are two types of cyclic loading, which are constant amplitude and varying amplitude. In this experiment, cyclic loading was taken with Constant amplitude. Strengthening the corroded beams on tension face ie below the beams with GFRP laminates improve the cyclic life of the beams. In this paper, the non linear finite element analysis (ANSYS) for the corroded high performance concrete beams under cyclic loading to predict the cyclic life of the beams. The results were compared with the experimental results with regard to cyclic life and Maximum deflection. It is found that it is reasonably agreeable. This indicates that the proposed FEMs can capture the cyclic behavior of the corroded HPC beams strengthened with GFRC laminates of 2 different thicknesses of high accuracy.
{"title":"Study of Cyclic behaviour of Corroded HPC beams strengthened with GFRP laminates by Nonlinear finite element modelling and experimental investigations","authors":"Dr. Seshadri Sekhar N","doi":"10.52783/tjjpt.v44.i5.2737","DOIUrl":"https://doi.org/10.52783/tjjpt.v44.i5.2737","url":null,"abstract":"Corrosion is a very big threat to the civil Engineering Structures especially on the coastal areas. Apart from the corrosion, the tidal forces on the structures act as the cyclic loading which in turn damage the structures by way of cyclic loading. There are two types of cyclic loading, which are constant amplitude and varying amplitude. In this experiment, cyclic loading was taken with Constant amplitude. Strengthening the corroded beams on tension face ie below the beams with GFRP laminates improve the cyclic life of the beams. In this paper, the non linear finite element analysis (ANSYS) for the corroded high performance concrete beams under cyclic loading to predict the cyclic life of the beams. The results were compared with the experimental results with regard to cyclic life and Maximum deflection. It is found that it is reasonably agreeable. This indicates that the proposed FEMs can capture the cyclic behavior of the corroded HPC beams strengthened with GFRC laminates of 2 different thicknesses of high accuracy.","PeriodicalId":39883,"journal":{"name":"Tuijin Jishu/Journal of Propulsion Technology","volume":"36 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138605526","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 : 2023-12-03DOI: 10.52783/tjjpt.v44.i5.2742
Suneeth, Kumar Saragur, Indra Mani Mishra
Anaerobic digestion followed by aerobic treatment has gained wide acceptability for many of the wastewater treatment. Several novel bio-reactors have been developed. All these reactors pose a problem of shock loading, when the high COD organic industrial waste is fed in to the reactor. Further, the normal substrates like glucose, sewage, citric acid may result in addition of a large volume of the substrate solution for a given organic loading. Both these problems are solved by adopting molasses, a typical by-product from the sugar industry. Among the bio-reactors to treat high strength waste waters, the Up-flow Anaerobic Sludge Blanket Reactor (UASBR), has received wide popularity for the treatment of domestic waste waters as well as for a variety of industrial wastewaters. This paper is to present a cogent and a clear picture of the startup and steady state operation of an UASB Reactor with molasses as the initial startup substrate for the development of well settleable sludge granules, the major feature of an UASB Reactor. The UASB reactor was fabricated in transparent Plexiglas. The reactor had a working volume of 9.75 liters with provision of ports for input, output, collection of samples, and collection of gas. Inside the settler, a gas-liquid-solid separation system using a glass funnel and a gas pressurizing plexiglass tube was provided. The aim was to granulate the sludge and acclimatizing it completely to take high organic loading. The feed was supplemented with a fixed COD: N: P ratio by adding urea for nitrogen and KH2PO4 for phosphorous. The HRT was fixed to be 8 hours. The reactor temperature was maintained at 35 ± 20oC. In about 55 days, the buttery seed sludge got granulated at an OLR of 8 g COD/l.day. The SEM of the granules exhibited a mixed morphology on the surface of the granules while filamentous Methanothrix proliferation could be clearly seen in the interior of the granule. Methanoceata and Methanothrix are the two dominant species found in the granules.
厌氧消化后的好氧处理在许多废水处理中得到了广泛的接受。几种新型生物反应器已经被开发出来。当高COD的有机工业废物进入反应器时，所有这些反应器都存在冲击负荷问题。此外，普通底物如葡萄糖、污水、柠檬酸可导致为给定的有机负载添加大体积的底物溶液。这两个问题都可以通过采用糖蜜来解决，糖蜜是制糖业的典型副产品。在处理高强度废水的生物反应器中，上流式厌氧污泥膜式反应器(UASBR)在处理生活废水和各种工业废水方面得到了广泛的应用。本文将以糖蜜作为初始启动基质，以形成可良好沉降的污泥颗粒(UASB反应器的主要特征)，为UASB反应器的启动和稳态运行提供一幅令人信服和清晰的画面。UASB反应器采用透明有机玻璃材料制备。反应器的工作容积为9.75升，具有输入、输出、样品收集和气体收集端口。沉降器内部设有玻璃漏斗和气体加压有机玻璃管的气液固分离系统。目的是使污泥颗粒化，并使其完全适应，以获得高有机负荷。以尿素为氮，KH2PO4为磷，以固定的COD: N: P比例添加饲料。HRT固定为8小时。反应器温度保持在35±20℃。在约55 d的时间内，黄油籽污泥以8 g COD/l.d的OLR实现了颗粒化。颗粒的扫描电镜显示颗粒表面呈混合形态，颗粒内部可见丝状甲烷菌增生。在颗粒中发现的两个优势种是甲烷海洋菌和甲烷菌。
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