Journal of Research in Civil and Environmental Engineering (ISSN: 2345-3109) is an international scientific peer-reviewed Journal which published four times a year. The aim of RCEE is to publish articles in the field of civil and environmental engineering and any other related topics. The journal invites original papers, review articles, technical reports and short communications containing new insight into any aspect of Civil and Environmental engineering that are not published or not being considered for publication elsewhere. The publication of submitted manuscripts is subject to peer review and both general and technical aspects of the submitted paper are reviewed before publication. The final decision on any paper is made by the Editor In Chief.
The paper presents the research work is carried out to predict the 28 days compressive strength of concrete with supplementary materials such as flyash, bottom ash, super plasticizers, silica fume using fuzzy logic technique It also help in optimizing constituents available and reducing cost and efforts in studying design to develop mixes by pre-defining suitable range for experimenting. The model developed using fuzzy logic consists of 7 input parameters which are contents of cement, fine aggregates, coarse aggregates, silica fume, ash, water to cement ratio, super plasticizers and one output parameter that is compressive strength at 28 days. The model developed is completely based on experimental data of research papers.
A 2D finite element analysis for the numerical prediction of capacity curve of unreinforced masonry (URM) walls is conducted. The studied model is based on the fiber finite element approach. The emphasis of this paper will be on the errors obtained from fiber finite element analysis of URM structures under pushover analysis. The masonry material is modeled by different constitutive stress-strain model in compression and tension. OpenSees software is employed to analysis the URM walls. Comparison of numerical predictions with experimental data, it is shown that the fiber model employed in OpenSees cannot properly predict the behavior of URM walls with balance between accuracy and low computational efforts. Additionally, the finite element analyses results show appropriate predictions of some experimental data when the real tensile strength of masonry material is changed. Hence, from the viewpoint of this result, it is concluded that obtained results from fiber finite element analyses employed in OpenSees are unreliable because the exact behavior of masonry material is different from the adopted masonry material models used in modeling process.
One of the mechanism, used in order to provide positive control of structural vibration in the wake of earthquakes is hysteretic damper which dissipates the energy exerted into a structure. The TADAS (triangular-plate added damping and stiffness) device is one of them with elasto-plastic behavior. In this paper, the effect of ductility on the response modification factors of the frames equipped with TADAS dampers has been studied. For that matter, multi-story buildings were considered. The nonlinear incremental dynamic analysis and linear dynamic analysis have been performed using OpenSees software. In this research, seismic response modification factors for moderate and special moment resisting frames (MMRFs & SMRFs) with TADAS devices (T-MMRFs & T-SMRFs) and without them has been determined separately. The results showed that the response modification factors for TADAS frames were higher than the frames without TADAS devices. It was also found that the response modification factors for TSMRFs were higher than T-MMRFs and also the ductility of structures has greater effect on the response modification factors of the frames with and without TADAS devices.
This paper presents the results of an experimental study conducted to evaluate the performance of corrosion damaged reinforced concrete beams with glass fibre reinforced polymer (GFRP) laminates. A total of seven beam specimens 150 x 250x 3000 mm were cast and tested for the present investigation. One beam specimen was neither corroded nor strengthened to serve as virgin. Two beams were corroded to serve as corroded control. The reinforcement mass loss for the corroded beams was 10% and 25%, respectively. The remaining four beams were corroded and strengthened with Uni-Directional Cloth GFRP laminates. The ultimate strength and ductility of the corroded - strengthened specimens were improved by an average of 83% and 60% when compared to the control specimen.
Construction is a risky industry and there is no other industry that requires proper application of business practices much as construction industry. Risks have a significant impact on a construction project’s performance in terms of cost, time and quality. The main objective of this research is to gain understanding of risk factors that could be for the building projects in various firms. The study aims also to investigate the effectiveness of risk preventive. The findings of this work show a lack of an iterative approach to risk management, which is a weakness in current practices. By using Fault Tree method the risks has been analyzed and remedial measures are taken. The results of this study recommended that there is an essential need for more standardization which addresses issues of clarity, fairness, roles and responsibilities, allocation of risks, dispute resolution and payment. More effort should be made to properly apply risk management in the construction industry. Based on the findings, a number of recommendations facilitating more effective risk management have been developed for the industry practitioners.
Sayed Rahim Moeinossadat a,
Bardia Behnia b,
Mazda Behnia c,
Alaleh Safari Gorji d,
Parichehr Zakerian e
RCEE 2014, 2(2), 55-65
ABSTRACT
One of the most important causes of serious damage to embankment dams is their over limit settlement. Therefore, the prediction of dam settlement which depends on many parameters is crucial. This study aims to use intelligent methods for prediction of settlement in sloping core rockfill dams. To do so, some models were prepared with the help of two methods of adaptive neuro-fuzzy inference system (ANFIS) and gene expression programming (GEP). Two input parameters namely dam height (H) and dam compressibility index (Ci) were used. Finally, to predict settlement in sloping core rockfill dams (SS), a form was designed using C # software. With this form, the settlement can be easily predicted just by entering the desired inputs. Regarding the accuracy of the results, this method can be suggested for prediction of settlement in sloping core rockfill dams after construction.
Journal of Research in Civil and Environmental Engineering (ISSN: 2345-3109) is an international scientific peer-reviewed Journal which published four times a year. The aim of RCEE is to publish articles in the field of civil and environmental engineering and any other related topics.
The journal invites original papers, review articles, technical reports and short communications containing new insight into any aspect of Civil and Environmental engineering that are not published or not being considered for publication elsewhere.
The publication of submitted manuscripts is subject to peer review and both general and technical aspects of the submitted paper are reviewed before publication. The final decision on any paper is made by the Editor In Chief.
The paper presents the research work is carried out to predict the 28 days compressive strength of concrete with supplementary materials such as flyash, bottom ash, super plasticizers, silica fume using fuzzy logic technique It also help in optimizing constituents available and reducing cost and efforts in studying design to develop mixes by pre-defining suitable range for experimenting. The model developed using fuzzy logic consists of 7 input parameters which are contents of cement, fine aggregates, coarse aggregates, silica fume, ash, water to cement ratio, super plasticizers and one output parameter that is compressive strength at 28 days. The model developed is completely based on experimental data of research papers.
A 2D finite element analysis for the numerical prediction of capacity curve of unreinforced masonry (URM) walls is conducted. The studied model is based on the fiber finite element approach. The emphasis of this paper will be on the errors obtained from fiber finite element analysis of URM structures under pushover analysis. The masonry material is modeled by different constitutive stress-strain model in compression and tension. OpenSees software is employed to analysis the URM walls. Comparison of numerical predictions with experimental data, it is shown that the fiber model employed in OpenSees cannot properly predict the behavior of URM walls with balance between accuracy and low computational efforts. Additionally, the finite element analyses results show appropriate predictions of some experimental data when the real tensile strength of masonry material is changed. Hence, from the viewpoint of this result, it is concluded that obtained results from fiber finite element analyses employed in OpenSees are unreliable because the exact behavior of masonry material is different from the adopted masonry material models used in modeling process.
One of the mechanism, used in order to provide positive control of structural vibration in the wake of earthquakes is hysteretic damper which dissipates the energy exerted into a structure. The TADAS (triangular-plate added damping and stiffness) device is one of them with elasto-plastic behavior. In this paper, the effect of ductility on the response modification factors of the frames equipped with TADAS dampers has been studied. For that matter, multi-story buildings were considered. The nonlinear incremental dynamic analysis and linear dynamic analysis have been performed using OpenSees software. In this research, seismic response modification factors for moderate and special moment resisting frames (MMRFs & SMRFs) with TADAS devices (T-MMRFs & T-SMRFs) and without them has been determined separately. The results showed that the response modification factors for TADAS frames were higher than the frames without TADAS devices. It was also found that the response modification factors for TSMRFs were higher than T-MMRFs and also the ductility of structures has greater effect on the response modification factors of the frames with and without TADAS devices.
This paper presents the results of an experimental study conducted to evaluate the performance of corrosion damaged reinforced concrete beams with glass fibre reinforced polymer (GFRP) laminates. A total of seven beam specimens 150 x 250x 3000 mm were cast and tested for the present investigation. One beam specimen was neither corroded nor strengthened to serve as virgin. Two beams were corroded to serve as corroded control. The reinforcement mass loss for the corroded beams was 10% and 25%, respectively. The remaining four beams were corroded and strengthened with Uni-Directional Cloth GFRP laminates. The ultimate strength and ductility of the corroded - strengthened specimens were improved by an average of 83% and 60% when compared to the control specimen.
Construction is a risky industry and there is no other industry that requires proper application of business practices much as construction industry. Risks have a significant impact on a construction project’s performance in terms of cost, time and quality. The main objective of this research is to gain understanding of risk factors that could be for the building projects in various firms. The study aims also to investigate the effectiveness of risk preventive. The findings of this work show a lack of an iterative approach to risk management, which is a weakness in current practices. By using Fault Tree method the risks has been analyzed and remedial measures are taken. The results of this study recommended that there is an essential need for more standardization which addresses issues of clarity, fairness, roles and responsibilities, allocation of risks, dispute resolution and payment. More effort should be made to properly apply risk management in the construction industry. Based on the findings, a number of recommendations facilitating more effective risk management have been developed for the industry practitioners.
One of the most important causes of serious damage to embankment dams is their over limit settlement. Therefore, the prediction of dam settlement which depends on many parameters is crucial. This study aims to use intelligent methods for prediction of settlement in sloping core rockfill dams. To do so, some models were prepared with the help of two methods of adaptive neuro-fuzzy inference system (ANFIS) and gene expression programming (GEP). Two input parameters namely dam height (H) and dam compressibility index (Ci) were used. Finally, to predict settlement in sloping core rockfill dams (SS), a form was designed using C # software. With this form, the settlement can be easily predicted just by entering the desired inputs. Regarding the accuracy of the results, this method can be suggested for prediction of settlement in sloping core rockfill dams after construction.