Pub Date : 1900-01-01DOI: 10.18178/ijscer.8.1.21-25
E. Benachour, B. Draoui, B. Imine, Khadidja Asnoune
The simulation grant a deep insight into the quantum mechanical and thermal heat transfer effects which determine material properties, and therefore, computational materials design is traditionally used to improve and further develop already existing materials. Especially when it comes to thermal transfer within building materials because it directly affects the quality thermal comfort. In this work the evolution of conduction convection coupling through this material which represents the raw material of the construction of the walls. Also, in this paper we have developed a new correlation for Controller the average Nusselt number which gives us a prediction before conception walls and with Newton polynomial interpolation method and the material optimization for a average Rayleigh number equal to 1.E-4.
模拟可以深入了解决定材料性能的量子力学和热传递效应，因此，计算材料设计传统上用于改进和进一步开发现有材料。特别是当涉及到建筑材料内部的热传递时，因为它直接影响到热舒适的质量。在这项工作中，传导对流耦合通过这种材料的演变，这种材料代表了墙体的原材料。此外，本文还开发了一种新的控制器平均努塞尔数的相关性，该相关性可以在概念壁之前给出预测，并使用牛顿多项式插值方法和平均瑞利数等于1 - e -4的材料优化。
{"title":"The Modern Approach for Materials Construction Design","authors":"E. Benachour, B. Draoui, B. Imine, Khadidja Asnoune","doi":"10.18178/ijscer.8.1.21-25","DOIUrl":"https://doi.org/10.18178/ijscer.8.1.21-25","url":null,"abstract":"The simulation grant a deep insight into the quantum mechanical and thermal heat transfer effects which determine material properties, and therefore, computational materials design is traditionally used to improve and further develop already existing materials. Especially when it comes to thermal transfer within building materials because it directly affects the quality thermal comfort. In this work the evolution of conduction convection coupling through this material which represents the raw material of the construction of the walls. Also, in this paper we have developed a new correlation for Controller the average Nusselt number which gives us a prediction before conception walls and with Newton polynomial interpolation method and the material optimization for a average Rayleigh number equal to 1.E-4. ","PeriodicalId":101411,"journal":{"name":"International journal of structural and civil engineering research","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116965623","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 : 1900-01-01DOI: 10.18178/ijscer.8.4.294-299
S. Demczynski, P. Ziółkowski, M. Niedostatkiewicz
—Machine foundations is a critical topic in the gas and oil industry, which design and exploitation require extensive technical knowledge. Machine foundations are the constructions which are intended for mounting on it a specific type of machine. The foundation has to transfer dynamic and static load from machine to the ground. The primary difference between machine foundations and building foundations is that the machine foundations are a separate structure, even if they are inside the building. Failures of machine foundations can be very dangerous due to its carry loads from machines in operation. There is also an economic aspect because every break in the operation of industrial machines is expensive, especially in the gas and oil industry, where technological processes are complex and multi-stage. Repairs to concrete machine foundations are problematic, so the capability to predict what exactly affects failures seems extremely necessary. The failure of concrete machine foundations depends on many factors that are not fully understood. Modern achievements of science and technology, especially machine learning techniques may allow determining what affects the failure rate. This paper presents an analysis with the use of machine-learning techniques to predict in which way loads can affect the failure of foundations. This study examines whether and what relations exist between variables describing loads about the machine concrete failures occurrence. The analysis concerned some variables such as cross-section reinforcement amount, the grate load, measured concrete strength, motor short circuit moment load, the engine unit and rotor with shaft load, the pump unit and rotor with shaft load, the weight of the foundation, total load with foundation self-weight. The primary parameter of concern is the failure occurrence rate.
{"title":"Load Effect Impact on the Exploitation of Concrete Machine Foundations Used in the Gas and Oil Industry","authors":"S. Demczynski, P. Ziółkowski, M. Niedostatkiewicz","doi":"10.18178/ijscer.8.4.294-299","DOIUrl":"https://doi.org/10.18178/ijscer.8.4.294-299","url":null,"abstract":"—Machine foundations is a critical topic in the gas and oil industry, which design and exploitation require extensive technical knowledge. Machine foundations are the constructions which are intended for mounting on it a specific type of machine. The foundation has to transfer dynamic and static load from machine to the ground. The primary difference between machine foundations and building foundations is that the machine foundations are a separate structure, even if they are inside the building. Failures of machine foundations can be very dangerous due to its carry loads from machines in operation. There is also an economic aspect because every break in the operation of industrial machines is expensive, especially in the gas and oil industry, where technological processes are complex and multi-stage. Repairs to concrete machine foundations are problematic, so the capability to predict what exactly affects failures seems extremely necessary. The failure of concrete machine foundations depends on many factors that are not fully understood. Modern achievements of science and technology, especially machine learning techniques may allow determining what affects the failure rate. This paper presents an analysis with the use of machine-learning techniques to predict in which way loads can affect the failure of foundations. This study examines whether and what relations exist between variables describing loads about the machine concrete failures occurrence. The analysis concerned some variables such as cross-section reinforcement amount, the grate load, measured concrete strength, motor short circuit moment load, the engine unit and rotor with shaft load, the pump unit and rotor with shaft load, the weight of the foundation, total load with foundation self-weight. The primary parameter of concern is the failure occurrence rate.","PeriodicalId":101411,"journal":{"name":"International journal of structural and civil engineering research","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128235963","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 : 1900-01-01DOI: 10.18178/IJSCER.10.2.80-84
F. Afonso, Jun Lu
In the current context of frequent natural disasters in China, this paper chooses to combine computer generative design methods with post-disaster modular temporary housing as a research topic, and studies the architectural generative design method and the temporary resettlement of disaster victims from a new perspective. Architecture is being nowadays radically rethought in the design processes it employs, moving away from the traditional approach of individual 'signature' buildings or from a simply functional design, to the logics of nonlinearity, in which evolutionary intelligence plays an important role. This is a way of creating architectural structures as a result of a programmed system. In particular, the paper aims to develop and explore computer programming processes to quickly generate a modular housing combination method to provide an efficient and scientific post-disaster modular temporary housing design proposal. This research will provide new possibilities for temporary housing settlements for disaster victims in China and a new approach in computational architectural design under this context.
{"title":"Post-disaster Temporary Housing System based on Generative Design Method","authors":"F. Afonso, Jun Lu","doi":"10.18178/IJSCER.10.2.80-84","DOIUrl":"https://doi.org/10.18178/IJSCER.10.2.80-84","url":null,"abstract":"In the current context of frequent natural disasters in China, this paper chooses to combine computer generative design methods with post-disaster modular temporary housing as a research topic, and studies the architectural generative design method and the temporary resettlement of disaster victims from a new perspective. Architecture is being nowadays radically rethought in the design processes it employs, moving away from the traditional approach of individual 'signature' buildings or from a simply functional design, to the logics of nonlinearity, in which evolutionary intelligence plays an important role. This is a way of creating architectural structures as a result of a programmed system. In particular, the paper aims to develop and explore computer programming processes to quickly generate a modular housing combination method to provide an efficient and scientific post-disaster modular temporary housing design proposal. This research will provide new possibilities for temporary housing settlements for disaster victims in China and a new approach in computational architectural design under this context. ","PeriodicalId":101411,"journal":{"name":"International journal of structural and civil engineering research","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130092105","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 : 1900-01-01DOI: 10.18178/ijscer.8.3.246-252
J. Ryu, Seongju Chang
As the building sector consumes considerable portion of energy worldwide, effective management of building energy is of great importance. In this regard, forecasting building energy consumption is essential to use and manage the energy efficiently. This paper describes hourly heating energy load forecasting method with the load dataset of National Renewable Energy Laboratory (NREL)'s Research Support Facility (RSF) in the United States using both typical Artificial Neural Network and Nonlinear Autoregressive with Exogenous Inputs (NARX) Neural Network. The accuracy of the model is evaluated by MBE (Mean Bias Error) and CvRMSE (Coefficient of Variation of the Root Mean Square Error). The NARX neural network model showed a better performance than typical ANN model and it is confirmed that the model satisfies the acceptable error range proposed by ASHRAE guideline 14. This research explored a way to build a better performing neural network model for heating energy load prediction based on accumulated dataset.
由于建筑行业消耗了世界范围内相当大的一部分能源，有效的建筑能源管理是非常重要的。在这方面，预测建筑能耗对于有效地使用和管理能源至关重要。本文介绍了利用美国国家可再生能源实验室(NREL)研究支持机构(RSF)的负荷数据集，采用典型的人工神经网络和非线性自回归外生输入(NARX)神经网络进行小时供热负荷预测的方法。模型的准确性通过MBE (Mean Bias Error)和CvRMSE (Coefficient of Variation of Root Mean Square Error)来评估。NARX神经网络模型比典型的人工神经网络模型表现出更好的性能，并证实该模型满足ASHRAE准则14提出的可接受误差范围。本研究探索了一种基于累积数据集构建性能更好的供热能源负荷预测神经网络模型的方法。
{"title":"Data Driven Heating Energy Load Forecast Modeling Enhanced by Nonlinear Autoregressive Exogenous Neural Networks","authors":"J. Ryu, Seongju Chang","doi":"10.18178/ijscer.8.3.246-252","DOIUrl":"https://doi.org/10.18178/ijscer.8.3.246-252","url":null,"abstract":"As the building sector consumes considerable portion of energy worldwide, effective management of building energy is of great importance. In this regard, forecasting building energy consumption is essential to use and manage the energy efficiently. This paper describes hourly heating energy load forecasting method with the load dataset of National Renewable Energy Laboratory (NREL)'s Research Support Facility (RSF) in the United States using both typical Artificial Neural Network and Nonlinear Autoregressive with Exogenous Inputs (NARX) Neural Network. The accuracy of the model is evaluated by MBE (Mean Bias Error) and CvRMSE (Coefficient of Variation of the Root Mean Square Error). The NARX neural network model showed a better performance than typical ANN model and it is confirmed that the model satisfies the acceptable error range proposed by ASHRAE guideline 14. This research explored a way to build a better performing neural network model for heating energy load prediction based on accumulated dataset.","PeriodicalId":101411,"journal":{"name":"International journal of structural and civil engineering research","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130167006","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 : 1900-01-01DOI: 10.18178/ijscer.8.3.215-222
Samar H. ElTahhan, Tarek A. Farghaly, Hassan M. Abdelsalam
As an alternative for the energy consuming and complex mechanical architectural responsive systems, a seamless approach is emerging employing performative shape changing materials in creating autonomous systems which rely solely on the material’s performative capacities and molecular intrinsic attributes. This paper introduces two designs for smart autonomous shading systems that are implemented within building envelopes. In fact, they incorporate the shape changing smart material; shape memory polymer (SMP) in which its shape changing effect is triggered by temperature increase in a self-propelled manner. Laboratory experimentations are conducted to test both designs utilising SMP sample representing shading surfaces that can be attached to the building. The surfaces are flat; closing (providing shade) when the temperature is 35 degree Celsius or more and bend to open (allowing light penetration) when it is 25 degree Celsius or less. The experimentation verifies the notion behind the designs as a promising green alternative exhibiting preliminary success. This experiment is an exploratory trial towards investigating the possibilities of the applications of shape changing smart materials architecturally driven by the primal aim of saving energy.
{"title":"Smart Autonomous Flexing Modules: A Shading System that Acknowledges the Materials’ Performative Capacities","authors":"Samar H. ElTahhan, Tarek A. Farghaly, Hassan M. Abdelsalam","doi":"10.18178/ijscer.8.3.215-222","DOIUrl":"https://doi.org/10.18178/ijscer.8.3.215-222","url":null,"abstract":"As an alternative for the energy consuming and complex mechanical architectural responsive systems, a seamless approach is emerging employing performative shape changing materials in creating autonomous systems which rely solely on the material’s performative capacities and molecular intrinsic attributes. This paper introduces two designs for smart autonomous shading systems that are implemented within building envelopes. In fact, they incorporate the shape changing smart material; shape memory polymer (SMP) in which its shape changing effect is triggered by temperature increase in a self-propelled manner. Laboratory experimentations are conducted to test both designs utilising SMP sample representing shading surfaces that can be attached to the building. The surfaces are flat; closing (providing shade) when the temperature is 35 degree Celsius or more and bend to open (allowing light penetration) when it is 25 degree Celsius or less. The experimentation verifies the notion behind the designs as a promising green alternative exhibiting preliminary success. This experiment is an exploratory trial towards investigating the possibilities of the applications of shape changing smart materials architecturally driven by the primal aim of saving energy. ","PeriodicalId":101411,"journal":{"name":"International journal of structural and civil engineering research","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121292583","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 : 1900-01-01DOI: 10.18178/ijscer.8.2.119-125
K. Pareek, S. Saha, N. Gupta, P. Saha
Recycled aggregate is a term used to describe crushed concrete, mortar, bricks or asphalt from construction debris that is reused in other building projects. Recycled aggregate is produced by crushing demolished waste to reclaim the aggregate. For the past few decades the availability of Construction and demolition waste (C&DW) has increased so much that the concrete industry has begun utilizing it therefore reducing cost of aggregates. Utilizing C&D waste in structures decreases carbon emission and helps concrete industry to expand further without illtreating the environment. The objective is to study the mechanical properties (such as Compressive Strength, Splitting Tensile Strength and Flexural Strength) and durability properties (such as Resistance to Chloride, Carbonation and Freeze and Thaw) of concrete using reused aggregate. It is observed that the mechanical and durability behaviour of reused aggregate concrete (RAC) is secondary to that of standard concrete but with the using different admixture and different mixing approach, desired properties can be achieved. Moreover, it was seen that the improvement of the mineral admixtures to execution change of the reused aggregate are higher than that to the characteristic of natural aggregate.
{"title":"Effect of Recycled Aggregate on Mechanical and Durability Properties of Concrete","authors":"K. Pareek, S. Saha, N. Gupta, P. Saha","doi":"10.18178/ijscer.8.2.119-125","DOIUrl":"https://doi.org/10.18178/ijscer.8.2.119-125","url":null,"abstract":"Recycled aggregate is a term used to describe crushed concrete, mortar, bricks or asphalt from construction debris that is reused in other building projects. Recycled aggregate is produced by crushing demolished waste to reclaim the aggregate. For the past few decades the availability of Construction and demolition waste (C&DW) has increased so much that the concrete industry has begun utilizing it therefore reducing cost of aggregates. Utilizing C&D waste in structures decreases carbon emission and helps concrete industry to expand further without illtreating the environment. The objective is to study the mechanical properties (such as Compressive Strength, Splitting Tensile Strength and Flexural Strength) and durability properties (such as Resistance to Chloride, Carbonation and Freeze and Thaw) of concrete using reused aggregate. It is observed that the mechanical and durability behaviour of reused aggregate concrete (RAC) is secondary to that of standard concrete but with the using different admixture and different mixing approach, desired properties can be achieved. Moreover, it was seen that the improvement of the mineral admixtures to execution change of the reused aggregate are higher than that to the characteristic of natural aggregate. ","PeriodicalId":101411,"journal":{"name":"International journal of structural and civil engineering research","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126487218","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 : 1900-01-01DOI: 10.18178/ijscer.8.2.133-137
Ruidong Chang, Qiancheng Wang, Zijian Ding
—Buildings consume a large amount of energy in Australia. To assess the sustainability performance, including energy performance, of buildings, Australia has developed several evaluation systems with the main ones being Green Star, NABERS, NatHERS and BASIX. Industry practitioners have a certain level of freedom to choose from these evaluation systems to evaluate the sustainability performance of their buildings. However, there is a lack of systemic comparison among these evaluation systems in general, and between the ways that the energy performance of buildings is assessed by these systems in specific. This study provides a systemic comparison between these four main evaluation systems regarding their approaches to assess the energy performance of buildings in Australia. The results show that these systems use different assessing methodologies, namely indicator-based or simulation-based methods, to assess different types of buildings based on data from different sources. These differences reveal the possibility of merging these existing systems to propose a new system that could better assess the energy performance of buildings in Australia.
{"title":"How is the Energy Performance of Buildings Assessed in Australia? -A Comparison between four Evaluation Systems","authors":"Ruidong Chang, Qiancheng Wang, Zijian Ding","doi":"10.18178/ijscer.8.2.133-137","DOIUrl":"https://doi.org/10.18178/ijscer.8.2.133-137","url":null,"abstract":"—Buildings consume a large amount of energy in Australia. To assess the sustainability performance, including energy performance, of buildings, Australia has developed several evaluation systems with the main ones being Green Star, NABERS, NatHERS and BASIX. Industry practitioners have a certain level of freedom to choose from these evaluation systems to evaluate the sustainability performance of their buildings. However, there is a lack of systemic comparison among these evaluation systems in general, and between the ways that the energy performance of buildings is assessed by these systems in specific. This study provides a systemic comparison between these four main evaluation systems regarding their approaches to assess the energy performance of buildings in Australia. The results show that these systems use different assessing methodologies, namely indicator-based or simulation-based methods, to assess different types of buildings based on data from different sources. These differences reveal the possibility of merging these existing systems to propose a new system that could better assess the energy performance of buildings in Australia.","PeriodicalId":101411,"journal":{"name":"International journal of structural and civil engineering research","volume":"29 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128772327","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 : 1900-01-01DOI: 10.18178/ijscer.12.2.52-55
Lei Huang, Jiangtao Yi, B. Liu, Xiu-li Wang
— Hybrid monopile-footing foundation, i.e., the addition of circular load-bearing plates at the mudline of large diameter offshore piles subjected to large horizontal-moment loads, is an innovative offshore structure. In this paper, the ultimate horizontal bearing capacity of hybrid monopile foundations is investigated by numerical simulation, in ABAQUS v6.14-1, using the small strain finite element method to simulate hybrid monopile-footing foundation subjected to lateral loads and to study the horizontal bearing performance of hybrid monopile-footing foundations in saturated soft clay soils with different circular footing foundation diameters. The Tresca model is used in this simulation and the validity of this simulation is verified by comparing the analysis with the theoretical and numerical solutions of circular footing foundations. The lateral load bearing performance of hybrid monopile foundations in soft clay soils is obtained by comparing and analysing the ultimate lateral bearing capacity for different circular footing foundation diameters.
{"title":"Lateral Resistance of Hybrid Monopile-Footing Foundation in Cohesive Soil for Offshore Wind Turbines","authors":"Lei Huang, Jiangtao Yi, B. Liu, Xiu-li Wang","doi":"10.18178/ijscer.12.2.52-55","DOIUrl":"https://doi.org/10.18178/ijscer.12.2.52-55","url":null,"abstract":"— Hybrid monopile-footing foundation, i.e., the addition of circular load-bearing plates at the mudline of large diameter offshore piles subjected to large horizontal-moment loads, is an innovative offshore structure. In this paper, the ultimate horizontal bearing capacity of hybrid monopile foundations is investigated by numerical simulation, in ABAQUS v6.14-1, using the small strain finite element method to simulate hybrid monopile-footing foundation subjected to lateral loads and to study the horizontal bearing performance of hybrid monopile-footing foundations in saturated soft clay soils with different circular footing foundation diameters. The Tresca model is used in this simulation and the validity of this simulation is verified by comparing the analysis with the theoretical and numerical solutions of circular footing foundations. The lateral load bearing performance of hybrid monopile foundations in soft clay soils is obtained by comparing and analysing the ultimate lateral bearing capacity for different circular footing foundation diameters.","PeriodicalId":101411,"journal":{"name":"International journal of structural and civil engineering research","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130679690","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 : 1900-01-01DOI: 10.18178/ijscer.8.4.390-397
N. Mascia, B. Donadon, Ramon Vilela
- The current appeal for sustainable building materials has expanded the use of timber in construction. However, due to timber be a raw material, natural defects are present, what reduce its strength capacity and cause, in particular, brittle failures in the tensile region of timber beams. In order to increase the mechanical properties of these beams, fibre reinforcement can be applied. In this context, natural fibres, such as Sisal fibres, already used in various fields of construction, are an alternative for reinforcement of timber structural elements, by taking into account their adequate mechanical properties and, in special, for low-mechanical resistance wood species, such as Pinu sp, a species used widely in timber construction. This paper deals with an experimental analysis glued laminated timber beams (Glulam) of Pinus sp species, reinforced by Sisal fibres. Bending tests were performed on six beams with the following dimensions, 53 mm-width by 180 mm-height by 3000 mm-length, which were prepared with eight lamellas by 8 mm-thickness. These beams were reinforced with Sisal strips that were glued by Epoxy adhesive on the bottom part of these beams. In addition, comparisons of result with non-reinforced Glulam were carried out. From the analyses of the experimental results, a decrease of 20 to 30% for the normal stresses, 5 to 10% for the shear stresses and 8 to 12 % for the displacements in relation to non-reinforced beams were verified.
{"title":"Glued Laminated Timber Beams Reinforced With Sisal Fibres","authors":"N. Mascia, B. Donadon, Ramon Vilela","doi":"10.18178/ijscer.8.4.390-397","DOIUrl":"https://doi.org/10.18178/ijscer.8.4.390-397","url":null,"abstract":"- The current appeal for sustainable building materials has expanded the use of timber in construction. However, due to timber be a raw material, natural defects are present, what reduce its strength capacity and cause, in particular, brittle failures in the tensile region of timber beams. In order to increase the mechanical properties of these beams, fibre reinforcement can be applied. In this context, natural fibres, such as Sisal fibres, already used in various fields of construction, are an alternative for reinforcement of timber structural elements, by taking into account their adequate mechanical properties and, in special, for low-mechanical resistance wood species, such as Pinu sp, a species used widely in timber construction. This paper deals with an experimental analysis glued laminated timber beams (Glulam) of Pinus sp species, reinforced by Sisal fibres. Bending tests were performed on six beams with the following dimensions, 53 mm-width by 180 mm-height by 3000 mm-length, which were prepared with eight lamellas by 8 mm-thickness. These beams were reinforced with Sisal strips that were glued by Epoxy adhesive on the bottom part of these beams. In addition, comparisons of result with non-reinforced Glulam were carried out. From the analyses of the experimental results, a decrease of 20 to 30% for the normal stresses, 5 to 10% for the shear stresses and 8 to 12 % for the displacements in relation to non-reinforced beams were verified.","PeriodicalId":101411,"journal":{"name":"International journal of structural and civil engineering research","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133948539","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 : 1900-01-01DOI: 10.18178/ijscer.8.4.357-363
S. Singh, A. S, Niragi Dave, Neelabh Singh, Manish Upadhyay, Bhargav Tukadia, Pranjal Chaudhary
—In the present age, the waste generated from the industries is the major concern for the environment, health and cause of land filling. To reduce disposal and pollution problems emanating from these industrial waste, it is essential to develop profitable building material from them. Recycling of such wastes and using them in construction materials appears to be viable solution not only to the pollution problem but also an economical option in construction. In view of utilisation of such waste in construction materials, this paper reports on the mechanical properties of utilisation of waste sludge obtained from Common Effluent Treatment Plant(C.E.T.P) in concrete. To evaluate the effect of dry sludge on concrete performance, its physical and mechanical properties were studied. In this research an attempt is taken to bring a comparison of the sludge waste in various proportions so that the final product property of concrete mixture is same as the reference (with 0% sludge) mix. Waste sludge material was replaced with cement in various percentages as 2%, 5%,10%. Reference concrete mix is also made for comparative reasons. To characterise the mechanical behaviour of the concrete, compressive strength test was conducted by means of Universal Testing Machine (destructive) after interval of 28 days, 90 days, 180 days respectively. Water absorption test was also conducted at interval of 28, 90 , 180 days so as to get an idea of change in the water percolation property of concrete. Tests results indicated the positive relationship between 2% 5% replacement of C.E.T.P. sludge with compressive strengths. The same results obtained for 10% replacement for Water absorption ratios likely to be unfavourable.
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