Jan'20


The IUP Journal of Structural Engineering

ISSN: 0974-6528

A 'peer reviewed' journal distributed by EBSCO and Proquest Database

Structural engineering is usually considered as a specialty discipline within civil engineering, but can also be studied in its own right. It is the science and art of designing and making buildings, bridges, frameworks and other similar structures. It has taken a completely different path since the middle of the 20th century. It involves understanding the load-resisting properties of components such as beams, columns, walls, slabs, plates, arches, shells, catenaries, etc., and selecting, proportioning, and connecting different components of a structure to resist the forces and displacements without affecting the safety of the structure. Structural Engineers are responsible for using funds, structural elements and materials creatively and efficiently. In recognition of the growing importance of this branch of engineering, IUP has come up with a quarterly journal, The IUP Journal of Structural Engineering.

Privileged access to Online edition for Subscribers.

Focus Areas
  • Reinforced Concrete Structures
  • Steel Structures
  • Cable Structures
  • Nonlinear Structures
  • Nuclear   Containment Structures
  • Structural Dynamics and Earthquake Engineering
  • Structural Analysis and Mechanics
  • Structural Condition/Health Monitoring of Bridge Structures
  • Analysis and Control of Vibrations
  • Properties and Strength of Materials
  • Construction Engineering
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Article   Price (₹) Buy
A Parametric Study of Tall Structures with Diagrid
50
Seismic Response of Shear Wall Buildings with Rigid and Flexible Foundations
50
A Study on Electrically Conductive Concrete Made with Industrial Waste
50
Shear Capacity of Headed Studs in Steel-Concrete Structures: Analytical Prediction via Soft Computing
50
     
Contents : (Jan 2020)

A Parametric Study of Tall Structures with Diagrid
Ajaykumar G Shah and Vishal B Patel

The paper makes an attempt to parametric study the tall structures with diagrid structural system. Diagrid is an exterior structural system which resists the lateral forces by axial actions of diagonals provided in periphery. The main objective is to determine the optimum module size of diagrid. The study considers five steel buildings having typical plan area, and loadings of 12, 24, 36, 48 and 60 storeys were analyzed for the 4, 6 and 8 storey diagrid module size. The analysis was carried out in ETABS 2017 software. Various parameters like fundamental time period, maximum storey displacement, maximum storey drift, maximum base shear were considered.


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Article Price : ₹ 50

Seismic Response of Shear Wall Buildings with Rigid and Flexible Foundations
Shradha Patil and Kiran Koraddi

The significance of incorporating Soil Structure Interaction (SSI) effect in the analysis and design of RC framed structure is increasingly recognized but still has not penetrated to the large level owing to various complexities involved. It is a well-established fact that the SSI effect considerably influences the design of high-rise storey buildings subjected to lateral seismic loads. The shear walls are often provided in such structure to increase the lateral stability to resist seismic lateral loads. The paper presents a linear soil structure analysis of a G + 15 storey RC shear wall building frame resting on isolated footing and raft foundations and supported by deformable soil. The modeling and analysis is carried out using ETABS 2015 software under gravity loads and seismic loads. The interaction work analysis is carried out with and without shear wall to study the effect of inclusion of shear wall on the forces in the footing due to settlement of soil mass. Both the frame and soil mass are considered to behave in a linear elastic manner. It is observed that the SSI effect significantly alters the time period, base shear, stiffness, storey drift and storey forces of the building due to soil settlement. The non-interaction analysis of space frame shear wall suggests that the presence of shear wall significantly reduces time period and displacement of the building but the interaction effect causes restoration of time period and displacement to a great extent.


© 2020 IUP. All Rights Reserved.

Article Price : ₹ 50

A Study on Electrically Conductive Concrete Made with Industrial Waste
M Purushothaman

Generally, conventional concrete does not conduct electricity but conducts when some conductive components are added to the conventional concrete. This concrete is called Electrically Conductive Concrete (ECC). The paper studies the suitability of industrial waste materials for making ECC. Different industrial wastes such as lathe turns of aluminum and steel, powder of brass and cast iron, copper slag and lignite bottom ash were used as conductive materials. It was observed that industrial wastes such as bottom ash and copper slag were suitable materials for making concrete by replacing fine aggregate. From the number of trials, the optimum quantity of industrial waste to replace the conventional fine aggregate river sand was found. Then two different ECC mixes, Mix with Bottom Ash (MBA) and Mix with Copper Slag (MCS), were prepared based on volume basis. The strength, electrical resistivity and thermal properties of both the ECC specimens were studied.

© 2020 IUP. All Rights Reserved.

Article Price : ₹ 50

Shear Capacity of Headed Studs in Steel-Concrete Structures: Analytical Prediction via Soft Computing
Miguel Abambres and Jun He

Headed studs are commonly used as shear connectors to transfer longitudinal shear force at the interface between steel and concrete in composite structures (e.g., bridge decks). Code-based equations for predicting the shear capacity of headed studs are summarized. The paper proposes an Artificial Neural Network (ANN)-based analytical model to estimate the shear capacity of headed steel studs. 234 push-out test results from the previous published research were collected into a database in order to feed the simulated ANNs. Three parameters were identified as input variables for the prediction of the headed stud shear force at failure, namely, the steel stud tensile strength, diameter and the concrete (cylinder) compressive strength. The proposed ANN-based analytical model yielded maximum and mean relative errors of 3.3% and 0.6%, respectively, for all the collected data. Moreover, it is illustrated that the neural network approach clearly outperformed the existing code-based equations, which yielded mean errors greater than 13%.

© 2020 IUP. All Rights Reserved.

Article Price : ₹ 50

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