Pub Date : 2013-07-01DOI: 10.4103/0976-8580.113058
Viraj Tyagi, Ajai Jain, P. K. Jain
A capacity constrained integrated production planning and scheduling framework for a manufacturing firm operating in make-to-order environment, has been formalized. It primarily aims at the generation of shop floor schedules that are feasible with production plans generated at a higher level, practical and efficient at the shop floor. The formalized framework integrates capacity planning, loading and scheduling activities of a job-shop with consideration of process plans flexibility. The performance of framework is assessed through two case studies. Experimental investigation reveals that shop utilization level considered at capacity planning level affects master production schedule and system performance. Further, presence of multiple process plans improves system performance; especially, they assist in reducing the number of tardy part-types. Moreover, shortest processing time dispatching rule performs better than earliest due date during scheduling.
{"title":"An integrated production planning and scheduling framework for make-to-order environment","authors":"Viraj Tyagi, Ajai Jain, P. K. Jain","doi":"10.4103/0976-8580.113058","DOIUrl":"https://doi.org/10.4103/0976-8580.113058","url":null,"abstract":"A capacity constrained integrated production planning and scheduling framework for a manufacturing firm operating in make-to-order environment, has been formalized. It primarily aims at the generation of shop floor schedules that are feasible with production plans generated at a higher level, practical and efficient at the shop floor. The formalized framework integrates capacity planning, loading and scheduling activities of a job-shop with consideration of process plans flexibility. The performance of framework is assessed through two case studies. Experimental investigation reveals that shop utilization level considered at capacity planning level affects master production schedule and system performance. Further, presence of multiple process plans improves system performance; especially, they assist in reducing the number of tardy part-types. Moreover, shortest processing time dispatching rule performs better than earliest due date during scheduling.","PeriodicalId":53400,"journal":{"name":"Pakistan Journal of Engineering Technology","volume":"41 1","pages":"124"},"PeriodicalIF":0.0,"publicationDate":"2013-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83870987","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 : 2013-07-01DOI: 10.4103/0976-8580.113055
R. Saminathan, P. Shamugasundaram
In the present study, in reinforced concrete structures, beam-column connections are one of the most critical regions in higher seismic prone areas. Proper reinforcement anchorage is essential to enhance the performance of the joints. Congestion of reinforcement and construction difficulties are reported frequently while using the conventional reinforcement detailing in the joint core area. An attempt has been made to study and evaluate the performance of joints with anchorage detailing as per American Concrete Institute (ACI)-352, ACI-318, and Indian Standard (IS)-456 along with confinement as per IS-13920 and without confinement. Apart from a solution for these problems, significant improvements in seismic performance, ductility, and strength were observed while using the mechanical anchorage (headed bar) in combination with X-cross plus hair clip (U-bar) joint reinforcement for higher seismic prone areas. To evaluate the performances of these types of anchorages and joint details, the specimens were assembled into two groups, each group having three specimens were tested under reversal loading and the same are presented in this paper.
{"title":"Seismic performance study on exterior beam-column joint with mechanical anchorage for different joint core details","authors":"R. Saminathan, P. Shamugasundaram","doi":"10.4103/0976-8580.113055","DOIUrl":"https://doi.org/10.4103/0976-8580.113055","url":null,"abstract":"In the present study, in reinforced concrete structures, beam-column connections are one of the most critical regions in higher seismic prone areas. Proper reinforcement anchorage is essential to enhance the performance of the joints. Congestion of reinforcement and construction difficulties are reported frequently while using the conventional reinforcement detailing in the joint core area. An attempt has been made to study and evaluate the performance of joints with anchorage detailing as per American Concrete Institute (ACI)-352, ACI-318, and Indian Standard (IS)-456 along with confinement as per IS-13920 and without confinement. Apart from a solution for these problems, significant improvements in seismic performance, ductility, and strength were observed while using the mechanical anchorage (headed bar) in combination with X-cross plus hair clip (U-bar) joint reinforcement for higher seismic prone areas. To evaluate the performances of these types of anchorages and joint details, the specimens were assembled into two groups, each group having three specimens were tested under reversal loading and the same are presented in this paper.","PeriodicalId":53400,"journal":{"name":"Pakistan Journal of Engineering Technology","volume":"55 1","pages":"118"},"PeriodicalIF":0.0,"publicationDate":"2013-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86026136","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 : 2013-07-01DOI: 10.4103/0976-8580.113044
S. Bhongade, B. Tyagi
The application of superconducting magnetic energy storage (SMES) unit to the stabilization of genetic algorithm (GA) based multi-area automatic generation control scheme is presented. In this paper, SMES units have been used to the power systems to inject or absorb active power. Developed scheme utilizes a proportional, integral and derivative (PID) controller to control the output of the generators. The parameters of PID controller have been tuned according to GA based performance indices. The developed G A based PID (GAPID) controller has been tested on a practical Indian power system network representing 75- bus system. A deregulated electricity market scenario has been assumed in the 75- bus system, which has been divided into four control areas. Mixed transaction (Poolco and bilateral) has been considered in the frequency regulation. The effect of generator rate constraint (GRC) has also been included in developing the multi area AGC model.
{"title":"Application of superconducting magnet energy storage to a multi-area automatic generation control scheme suitable in a restructured power system","authors":"S. Bhongade, B. Tyagi","doi":"10.4103/0976-8580.113044","DOIUrl":"https://doi.org/10.4103/0976-8580.113044","url":null,"abstract":"The application of superconducting magnetic energy storage (SMES) unit to the stabilization of genetic algorithm (GA) based multi-area automatic generation control scheme is presented. In this paper, SMES units have been used to the power systems to inject or absorb active power. Developed scheme utilizes a proportional, integral and derivative (PID) controller to control the output of the generators. The parameters of PID controller have been tuned according to GA based performance indices. The developed G A based PID (GAPID) controller has been tested on a practical Indian power system network representing 75- bus system. A deregulated electricity market scenario has been assumed in the 75- bus system, which has been divided into four control areas. Mixed transaction (Poolco and bilateral) has been considered in the frequency regulation. The effect of generator rate constraint (GRC) has also been included in developing the multi area AGC model.","PeriodicalId":53400,"journal":{"name":"Pakistan Journal of Engineering Technology","volume":"189 1","pages":"82"},"PeriodicalIF":0.0,"publicationDate":"2013-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85114109","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 : 2013-01-01DOI: 10.4103/0976-8580.107099
L. Kumar
This article proposes a low-cost object tracking system using global positioning system (GPS) and general packet radio service (GPRS). The current object tracking systems utilize short messaging service (SMS) technology which when compared with GPRS is costlier. Hence, using GPRS in this system makes it economical and reduces the working cost. GPRS also enjoys the advantages of faster and continuous data transmission. This system uses a Telit-GM-862GPS module, which tracks the location details such as latitude, longitude, speed, altitude, and accuracy, in a specific data format known as National Marine Engineering Association (NMEA) protocol. This location data format is processed further with a PIC16F877 microcontroller. The processed information is sent to GPRS module then to a Web server, where a database is already created, using Microsoft Access, ASP.NET, MYSQL for storing the location details so as to allow the user to view the present and past positions of a target object on Google map through internet to track wounded soldiers and also military vehicles.
{"title":"Design and Development of Cost-Effective Global Positioning System General Packet Radio Service: Based Soldier Tracking System","authors":"L. Kumar","doi":"10.4103/0976-8580.107099","DOIUrl":"https://doi.org/10.4103/0976-8580.107099","url":null,"abstract":"This article proposes a low-cost object tracking system using global positioning system (GPS) and general packet radio service (GPRS). The current object tracking systems utilize short messaging service (SMS) technology which when compared with GPRS is costlier. Hence, using GPRS in this system makes it economical and reduces the working cost. GPRS also enjoys the advantages of faster and continuous data transmission. This system uses a Telit-GM-862GPS module, which tracks the location details such as latitude, longitude, speed, altitude, and accuracy, in a specific data format known as National Marine Engineering Association (NMEA) protocol. This location data format is processed further with a PIC16F877 microcontroller. The processed information is sent to GPRS module then to a Web server, where a database is already created, using Microsoft Access, ASP.NET, MYSQL for storing the location details so as to allow the user to view the present and past positions of a target object on Google map through internet to track wounded soldiers and also military vehicles.","PeriodicalId":53400,"journal":{"name":"Pakistan Journal of Engineering Technology","volume":"127 1","pages":"36"},"PeriodicalIF":0.0,"publicationDate":"2013-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75827276","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 : 2013-01-01DOI: 10.4103/0976-8580.107103
T. Muthuramalingam, B. Mohan
Since electrical process parameters are determining the machining characteristics of electrical discharge machining (EDM), it is important to find the optimum values of those parameters and contribution of each parameter. As the process involves more than one response parameter, it is needed to implement the multi-response optimization methodology. AISI 202 stainless steel was selected as work piece material, whereas copper, brass, and tungsten carbide were selected as tool materials. The experiments were conducted with different levels of input factors such as gap voltage, discharge current, and duty factor based on L9 orthogonal table. The purpose of this study is to investigate the contribution of electrical process parameters on machining characteristics and optimal combination of those parameters using Taguchi-data envelopment analysis-based ranking method. From the results, it is revealed that electrical parameters have significant role in EDM process and the optimal values have been found using proposed multi-response methodology.
{"title":"Multi-Response Optimization of Electrical Process Parameters on Machining Characteristics in Electrical Discharge Machining Using Taguchi-Data Envelopment Analysis-Based Ranking Methodology","authors":"T. Muthuramalingam, B. Mohan","doi":"10.4103/0976-8580.107103","DOIUrl":"https://doi.org/10.4103/0976-8580.107103","url":null,"abstract":"Since electrical process parameters are determining the machining characteristics of electrical discharge machining (EDM), it is important to find the optimum values of those parameters and contribution of each parameter. As the process involves more than one response parameter, it is needed to implement the multi-response optimization methodology. AISI 202 stainless steel was selected as work piece material, whereas copper, brass, and tungsten carbide were selected as tool materials. The experiments were conducted with different levels of input factors such as gap voltage, discharge current, and duty factor based on L9 orthogonal table. The purpose of this study is to investigate the contribution of electrical process parameters on machining characteristics and optimal combination of those parameters using Taguchi-data envelopment analysis-based ranking method. From the results, it is revealed that electrical parameters have significant role in EDM process and the optimal values have been found using proposed multi-response methodology.","PeriodicalId":53400,"journal":{"name":"Pakistan Journal of Engineering Technology","volume":"29 1","pages":"57"},"PeriodicalIF":0.0,"publicationDate":"2013-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80441481","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 : 2013-01-01DOI: 10.4103/0976-8580.107095
J. Addeh, A. Ebrahimzadeh, H. Nazaryan
Unnatural patterns in the control charts can be associated with a specific set of assignable causes for process variation. Hence pattern recognition is very useful in identifying process problem. This article introduces a novel hybrid intelligent system that includes three main modules: a feature extraction module, a classifier module, and an optimization module. In the feature extraction module, a proper set combining the shape features and statistical features is proposed as the efficient characteristic of the patterns. In the classifier module, adaptive neuro-fuzzy inference system (ANFIS)-based classifier is proposed. For the optimization module, cuckoo optimization algorithm (COA) is proposed to improve the generalization performance of the recognizer. In this module, it the ANFIS classifier design is optimized by searching for the best value of the parameter and looking for the best subset of features that feed the classifier. Simulation results show that the proposed algorithm has very high recognition accuracy (RA). This high efficiency is achieved with only little features, which have been selected using COA.
{"title":"A Research about Pattern Recognition of Control Chart Using Optimized ANFIS and Selected Features","authors":"J. Addeh, A. Ebrahimzadeh, H. Nazaryan","doi":"10.4103/0976-8580.107095","DOIUrl":"https://doi.org/10.4103/0976-8580.107095","url":null,"abstract":"Unnatural patterns in the control charts can be associated with a specific set of assignable causes for process variation. Hence pattern recognition is very useful in identifying process problem. This article introduces a novel hybrid intelligent system that includes three main modules: a feature extraction module, a classifier module, and an optimization module. In the feature extraction module, a proper set combining the shape features and statistical features is proposed as the efficient characteristic of the patterns. In the classifier module, adaptive neuro-fuzzy inference system (ANFIS)-based classifier is proposed. For the optimization module, cuckoo optimization algorithm (COA) is proposed to improve the generalization performance of the recognizer. In this module, it the ANFIS classifier design is optimized by searching for the best value of the parameter and looking for the best subset of features that feed the classifier. Simulation results show that the proposed algorithm has very high recognition accuracy (RA). This high efficiency is achieved with only little features, which have been selected using COA.","PeriodicalId":53400,"journal":{"name":"Pakistan Journal of Engineering Technology","volume":"18 1","pages":"6"},"PeriodicalIF":0.0,"publicationDate":"2013-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88534073","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 : 2013-01-01DOI: 10.4103/0976-8580.107100
Satpal Sharma
It is necessary to select the optimum cutting parameters in order to improve the efficiency of any machining process. The selections of the optimum cutting parameters significantly improve the tool life. Hence, in the present investigation, cutting parameters such as cutting speed, feed rate, depth of cut and nose radius were used for flank wear model development for Al-SiC composite. The machining of the composite was carried out using response surface methodology. Face centered composite design with three levels of each factor was used for flank wear study of the developed composite. A response surface model for flank wear was developed in terms of main factors and their significant interactions. The developed model was validated by conducting experiments at different levels of factors used. Furthermore, the model was optimized for minimum flank wear. An error of 3-8% was observed in the modeled and experimental results.
{"title":"Flank Wear Prediction Model Development by Response Surface Methodology","authors":"Satpal Sharma","doi":"10.4103/0976-8580.107100","DOIUrl":"https://doi.org/10.4103/0976-8580.107100","url":null,"abstract":"It is necessary to select the optimum cutting parameters in order to improve the efficiency of any machining process. The selections of the optimum cutting parameters significantly improve the tool life. Hence, in the present investigation, cutting parameters such as cutting speed, feed rate, depth of cut and nose radius were used for flank wear model development for Al-SiC composite. The machining of the composite was carried out using response surface methodology. Face centered composite design with three levels of each factor was used for flank wear study of the developed composite. A response surface model for flank wear was developed in terms of main factors and their significant interactions. The developed model was validated by conducting experiments at different levels of factors used. Furthermore, the model was optimized for minimum flank wear. An error of 3-8% was observed in the modeled and experimental results.","PeriodicalId":53400,"journal":{"name":"Pakistan Journal of Engineering Technology","volume":"84 1","pages":"41"},"PeriodicalIF":0.0,"publicationDate":"2013-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89885376","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 : 2013-01-01DOI: 10.4103/0976-8580.107102
A. Selvakumar, P. Mohanram
Alternative materials are under study, to improve the stiffness and strength of the machine tool structure and to reduce the geometrical inaccuracies caused due to positional errors developed by conventional materials. The mechanical properties exhibited by mineral-cast structures such as high damping and high structural stiffness along with good strength and reduced weight make them attractive as alternative material. However, the mechanical properties of the material vary with the proportion of components in the mixture. This study attempts to evaluate the mechanical characteristics of mineral-cast material with varying epoxy content in the mixture. The epoxy content in the mixture is varied between 10% and 18% and the mechanical characteristics such as compressive strength, tensile strength, and Young's modulus are evaluated to arrive at an optimum composition of mixture. Granite which has high compressive strength is selected and crushed into fine and coarse particles and used as aggregate. It is mixed with epoxy resin to prepare the test specimen by pouring the mixture into a wooden mold of required size and shape. The mixture is cured for 1 week in order to obtain better results. It is observed that with increase in resin content from 10% to 14%, properties, such as stiffness and strength improve and then it starts diminishing. A combination with 12% epoxy resin and 88% aggregate material is observed to produce favorable mechanical properties at an optimum cost.
{"title":"Evaluation of Mechanical Characteristics for Mineral Cast Materials with Varying Resin Content","authors":"A. Selvakumar, P. Mohanram","doi":"10.4103/0976-8580.107102","DOIUrl":"https://doi.org/10.4103/0976-8580.107102","url":null,"abstract":"Alternative materials are under study, to improve the stiffness and strength of the machine tool structure and to reduce the geometrical inaccuracies caused due to positional errors developed by conventional materials. The mechanical properties exhibited by mineral-cast structures such as high damping and high structural stiffness along with good strength and reduced weight make them attractive as alternative material. However, the mechanical properties of the material vary with the proportion of components in the mixture. This study attempts to evaluate the mechanical characteristics of mineral-cast material with varying epoxy content in the mixture. The epoxy content in the mixture is varied between 10% and 18% and the mechanical characteristics such as compressive strength, tensile strength, and Young's modulus are evaluated to arrive at an optimum composition of mixture. Granite which has high compressive strength is selected and crushed into fine and coarse particles and used as aggregate. It is mixed with epoxy resin to prepare the test specimen by pouring the mixture into a wooden mold of required size and shape. The mixture is cured for 1 week in order to obtain better results. It is observed that with increase in resin content from 10% to 14%, properties, such as stiffness and strength improve and then it starts diminishing. A combination with 12% epoxy resin and 88% aggregate material is observed to produce favorable mechanical properties at an optimum cost.","PeriodicalId":53400,"journal":{"name":"Pakistan Journal of Engineering Technology","volume":"17 1","pages":"52"},"PeriodicalIF":0.0,"publicationDate":"2013-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81282497","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 : 2013-01-01DOI: 10.4103/0976-8580.107094
S. M. Anisheh, M. Malekzadeh, M. Saraf, A. Khosravi
The effect of geometry on the relationship between measurement error and position determination error is described by geometric dilution of precision (GDOP). It is illustrated that a subset with lowest GDOP will result in lowest error. Since the global positioning system (GPS) GDOP computation based on complicated transformation and inversion of measurement matrices is a time consuming procedure, the neural network (NN) is used as an approximator or classifier for GDOP data. The back propagation (BP) is a most common method to train a feed-forward NN. However, in many applications including the GPS GDOP classification, it cannot train an NN with an acceptable speed and accuracy. Therefore, in this paper, a new approach to classify the GPS GDOP by using scaled conjugate gradient algorithm (CGA) to train a feed-forward NN and principal component analysis (PCA) is proposed. Scaled CGA is a powerful tool to train an NN, which is widely used in many applications that need to a high speed. PCA is a well-known method to reduce and optimize the dimensions of the data. PCA is applied on entire dataset in order to have some few uncorrelated and informative features. The results show that the scaled CGA with PCA has better performance than the scaled CGA without PCA and also, scaled CGA without PCA has better performance than the basic BP.
{"title":"An Improved Approach for the Global Positioning System Geometric Dilution of Precision Classification","authors":"S. M. Anisheh, M. Malekzadeh, M. Saraf, A. Khosravi","doi":"10.4103/0976-8580.107094","DOIUrl":"https://doi.org/10.4103/0976-8580.107094","url":null,"abstract":"The effect of geometry on the relationship between measurement error and position determination error is described by geometric dilution of precision (GDOP). It is illustrated that a subset with lowest GDOP will result in lowest error. Since the global positioning system (GPS) GDOP computation based on complicated transformation and inversion of measurement matrices is a time consuming procedure, the neural network (NN) is used as an approximator or classifier for GDOP data. The back propagation (BP) is a most common method to train a feed-forward NN. However, in many applications including the GPS GDOP classification, it cannot train an NN with an acceptable speed and accuracy. Therefore, in this paper, a new approach to classify the GPS GDOP by using scaled conjugate gradient algorithm (CGA) to train a feed-forward NN and principal component analysis (PCA) is proposed. Scaled CGA is a powerful tool to train an NN, which is widely used in many applications that need to a high speed. PCA is a well-known method to reduce and optimize the dimensions of the data. PCA is applied on entire dataset in order to have some few uncorrelated and informative features. The results show that the scaled CGA with PCA has better performance than the scaled CGA without PCA and also, scaled CGA without PCA has better performance than the basic BP.","PeriodicalId":53400,"journal":{"name":"Pakistan Journal of Engineering Technology","volume":"126 1","pages":"1"},"PeriodicalIF":0.0,"publicationDate":"2013-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75870931","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 : 2013-01-01DOI: 10.4103/0976-8580.107096
M. C. Sundarraja, P. Sriram, G. Prabhu
The main objective of this investigation is to experimentally investigate the suitability of carbon fibre reinforced polymer (CFRP) in strengthening artificially degraded hollow structural steel (HSS) tubular members. In order to obtain uniform corrosion, all the tubular columns were artificially degraded by heavier solution mechanism. CFRP fabrics were used as strips form with other parameters such as the number of layers and spacing of strips. Experiments were undertaken until failure to fully understand the influence of FRP characteristics on the compressive behavior of strengthened hollow tubular columns. The experimental results revealed that the external bonding of normal modulus CFRP strips significantly enhanced the load carrying capacity and stiffness of the HSS tubular sections and also delays the axial shortening of column by providing confinement/restraining effect against the elastic deformation. And also, increase in thickness of CFRP strips effectively delays the local buckling of HSS column and lead to the inward buckling rather than outward.
{"title":"Strengthening of Corroded Hollow Structural Steel Tubular Members Using Fibre Reinforced Polymer Fabrics: An Experimental Investigation","authors":"M. C. Sundarraja, P. Sriram, G. Prabhu","doi":"10.4103/0976-8580.107096","DOIUrl":"https://doi.org/10.4103/0976-8580.107096","url":null,"abstract":"The main objective of this investigation is to experimentally investigate the suitability of carbon fibre reinforced polymer (CFRP) in strengthening artificially degraded hollow structural steel (HSS) tubular members. In order to obtain uniform corrosion, all the tubular columns were artificially degraded by heavier solution mechanism. CFRP fabrics were used as strips form with other parameters such as the number of layers and spacing of strips. Experiments were undertaken until failure to fully understand the influence of FRP characteristics on the compressive behavior of strengthened hollow tubular columns. The experimental results revealed that the external bonding of normal modulus CFRP strips significantly enhanced the load carrying capacity and stiffness of the HSS tubular sections and also delays the axial shortening of column by providing confinement/restraining effect against the elastic deformation. And also, increase in thickness of CFRP strips effectively delays the local buckling of HSS column and lead to the inward buckling rather than outward.","PeriodicalId":53400,"journal":{"name":"Pakistan Journal of Engineering Technology","volume":"19 1","pages":"17"},"PeriodicalIF":0.0,"publicationDate":"2013-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.4103/0976-8580.107096","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72518598","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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