scholarly journals Comparative Study Seismic Analysis of RCC, Steel & Steel-Concrete Composite Frame: A Review

2021 ◽  
Vol 9 (8) ◽  
pp. 2369-2372
Author(s):  
Pankaj Kumar Verma
Keyword(s):  
Developing Countries ◽  
Comparative Study ◽  
Composite Structure ◽  
Composite Structures ◽  
Natural Frequencies ◽  
Seismic Analysis ◽  
Steel Structure ◽  
Building Construction ◽  
Base Shear ◽  
Composite Frame

Abstract: This study examines how composite structures are gaining popularity in developing countries. For medium and high levels in RCC buildings are no longer economical due to increased weight, range limitations and low natural frequencies and dangerous formwork. Steel and concrete composite structures are becoming increasingly popular today and are safe throughout their useful lives. Round Steel and concrete structures are the best solution for modern buildings. In this article we will discuss the various results of building construction for RCC, metal and composite construction taking into account different studies. Keyword: RCC Structure, Steel Structure, Composite Structure, Joint Displacement, Base Shear

The Effect of Nano-Sized Air Bubbles on the Mechanical Properties and Natural Frequencies of a Multi-Cracked Composite Bar

2017 ◽  
Vol 30 ◽  
pp. 65-84 ◽  
Author(s):  
Ahmad Al-Maharma ◽  
Naser Al-Huniti
Keyword(s):  
Mechanical Properties ◽  
Epoxy Resin ◽  
Composite Structure ◽  
Hybrid Composite ◽  
Composite Structures ◽  
Natural Frequencies ◽  
Volume Fraction ◽  
Multiple Cracks ◽  
Air Bubbles ◽  
The Impact

In this research, the effect of nanosized air bubbles embedded within carbon nanotubes (CNTs) coated by various thicknesses of alumina (Al2O3) reinforced epoxy resin based composite on the natural frequencies of a multi-cracked bar is investigated in details. The impact of cracks’ locations and depths within the hybrid composite structure on the natural frequency profiles is investigated. The volume fraction of CNTs is fixed to 0.5 wt. % due to the significant improvements reported in the literature when the composite is reinforced with this volume fraction of CNTs. The results of the multi-scale finite element analysis are verified by comparing with previous studies and a good agreement is shown relating to the longitudinal natural frequencies. The results of the research show that the dynamic response of cracked bar is highly sensitive to the volume fractions of nanosized air bubbles located within the composite. The results of the study supported the hypothesis that the nanosized air bubbles can be used to reduce the weight of heavy composite structures along with using of suitable coatings to improve the mechanical properties of the hybrid composite. Furthermore. The results of the study can be employed to detect multiple cracks located within similar structures like wind turbine blade (WTB) fabricated from a hybrid composite structure composed of carbon fiber reinforced modified epoxy resin which contains nanosized air bubbles and CNTs nanofillers coated by Al2O3 at different thicknesses.

scholarly journals Time history analysis of an existing structure in accordance with Turkish and European standards

2021 ◽  
Author(s):  
Sinem Tola ◽  
Joaquim Tinoco ◽  
José C. Matos ◽  
Elişan Filiz Piroğlu
Keyword(s):  
Seismic Analysis ◽  
Linear Time ◽  
Time History ◽  
Steel Structure ◽  
Time History Analysis ◽  
Base Shear ◽  
Seismic Fault ◽  
History Analysis ◽  
European Standards ◽  
Lateral Displacements

<p>Turkey is located on active seismic fault lines. Having this major issue makes the seismic performance analysis a critical step to decide the safety or whether demolishing or reinforcing is more efficient. In this study, a seismic analysis comparison is performed on an existing steel structure via SAP2000 software. The seismic analysis method is Linear Time History Analysis. A comparison of results attained from dynamic analysis is obtained for an existing steel structure serving as a garage in Istanbul, Turkey. The results are demonstrated using graphics where base shear forces as well as lateral displacements obtained for two models are plotted for comparison.</p>

scholarly journals Seismic Analysis and Comparative Study of Brick Wall, Shear Wall and Bare Frame on G+12 High Rise Building

2021 ◽  
Vol 9 (10) ◽  
pp. 1540-1547
Author(s):  
Ankur Verma
Keyword(s):  
Comparative Study ◽  
Seismic Analysis ◽  
Response Spectrum ◽  
Shear Wall ◽  
Time Span ◽  
Brick Wall ◽  
Base Shear ◽  
High Rise ◽  
Normal Period ◽  
G 12

Abstract: Today, larger part of designs around us are built up concrete cement (RCC) outlined constructions. To forestall harm because of quake there is a need to foster powerful procedure to expand the strength and flexibility of elevated structures. Shear wall are steadier and more pliable and thus can bear more even loads. In this paper, we have proposed a relative report between block facade, shear divider and uncovered casing by using ETABS programming. This review is essentially centered around seismic conduct of G+12 building. The outcomes are talked about as far as base shear, sidelong relocation, story float, story solidness and normal period for every one of the three models. We find that shear wall has least parallel uprooting and least time span when contrasted and block facade and uncovered edge. Likewise, we track down that the shear divider model is more adaptable because of lesser float when contrasted and different models. The upsides of removal and float for shear wall is likewise not as much as block facade since the tallness of the structure increments. Keywords: shear wall, bare frame, Response spectrum, Earthquake, ETABS

Dynamic Response Analysis on Steel-Concrete Composite Frame Based on ETABS

2010 ◽  
Vol 163-167 ◽  
pp. 2209-2218
Author(s):  
Yong He Wu ◽  
Jian Chun Mu ◽  
Sheng Qiang Li ◽  
Hui Feng Xi
Keyword(s):  
Dynamic Response ◽  
Composite Structure ◽  
Time History ◽  
Bending Moment ◽  
Steel Frame ◽  
Rc Frame ◽  
Base Shear ◽  
Composite Frame ◽  
Seismic Motion ◽  
Motion Effect

This paper is to make an elastic dynamic time history analysis on a steel-concrete composite structure under the effect of frequent earthquake. And it reveals the collaborative performance of steel frame and RC frame under the seismic motion effect by studying time history response of the parameters like base shear, base bending moment, structure top acceleration and displacement of the structures under the seismic motion effect. The results show that for the steel-concrete composite frame structure under the seismic motion effect, its maximum base shear, maximum bending moment, structure maximum top acceleration and maximum displacement do not occur at the same time, and dynamic response of the top steel frame acceleration, displacement and other parameters increase more significantly than the lower RC frame, while Steel-concrete composite structure may produce resonant phenomenon with earthquake vibration.

FIRE RESISTACE OF SHEAR CONNECTORS FOR COMPOSITE BEAMS

2020 ◽  
Vol 92 (6) ◽  
pp. 59-65
Author(s):  
G.P. TONKIH ◽  
◽  
D.A. CHESNOKOV ◽  
◽  
Keyword(s):  
Fire Resistance ◽  
Composite Structure ◽  
Composite Structures ◽  
Composite Beams ◽  
Design Codes ◽  
Connection Strength ◽  
Shear Connectors ◽  
Shear Connection ◽  
Capacity Reduction ◽  
Russian Research

Most of Russian research about composite structure fire resistance are dedicated to the composite slab behavior. The composite beams fire resistance had been never investigated in enough volume: the temperature evaluation within the scope of the actual Russian design codes leads to the significant reduction in the shear connection strength. Meanwhile, there no correlation between the strength decreasing and type of the shear connection. The article provides an overview of the relevant researches and offers some approaches which could take into account bearing capacity reduction of the shear connectors within composite structures design.

scholarly journals High Performance NbMoTa–Al2O3 Multilayer Composite Structure Manufacturing by Laser Directed Energy Deposition

Materials ◽  
2021 ◽  
Vol 14 (7) ◽  
pp. 1685
Author(s):  
Hang Zhang ◽  
Zihao Chen ◽  
Yaoyao He ◽  
Xin Guo ◽  
Qingyu Li ◽  
...  
Keyword(s):  
Smart Materials ◽  
Composite Structure ◽  
Composite Structures ◽  
High Performance ◽  
Energy Deposition ◽  
Coefficient Of Thermal Expansion ◽  
Multilayer Composite ◽  
Forming Process ◽  
Directed Energy Deposition ◽  
Directed Energy

The conventional method of preparing metal–ceramic composite structures causes delamination and cracking defects due to differences in the composite structures’ properties, such as the coefficient of thermal expansion between metal and ceramic materials. Laser-directed energy deposition (LDED) technology has a unique advantage in that the composition of the materials can be changed during the forming process. This technique can overcome existing problems by forming composite structures. In this study, a multilayer composite structure was prepared using LDED technology, and different materials were deposited with their own appropriate process parameters. A layer of Al2O3 ceramic was deposited first, and then three layers of a NbMoTa multi-principal element alloy (MPEA) were deposited as a single composite structural unit. A specimen of the NbMoTa–Al2O3 multilayer composite structure, composed of multiple composite structural units, was formed on the upper surface of a φ20 mm × 60 mm cylinder. The wear resistance was improved by 55% compared to the NbMoTa. The resistivity was 1.55 × 10−5 Ω × m in the parallel forming direction and 1.29 × 10−7 Ω × m in the vertical forming direction. A new, electrically anisotropic material was successfully obtained, and this study provides experimental methods and data for the preparation of smart materials and new sensors.

Measured natural periods of concrete shear wall buildings: insights for the design of Canadian buildings

2012 ◽  
Vol 39 (8) ◽  
pp. 867-877 ◽  
Author(s):  
Damien Gilles ◽  
Ghyslaine McClure
Keyword(s):  
Seismic Analysis ◽  
Dynamic Properties ◽  
Response Spectrum ◽  
Shear Wall ◽  
Mode Shapes ◽  
Design Stage ◽  
Base Shear ◽  
Period Equation ◽  
Input Load ◽  
Structural Engineers

Structural engineers routinely use rational dynamic analysis methods for the seismic analysis of buildings. In linear analysis based on modal superposition or response spectrum approaches, the overall response of a structure (for instance, base shear or inter-storey drift) is obtained by combining the responses in several vibration modes. These modal responses depend on the input load, but also on the dynamic characteristics of the building, such as its natural periods, mode shapes, and damping. At the design stage, engineers can only predict the natural periods using eigenvalue analysis of structural models or empirical equations provided in building codes. However, once a building is constructed, it is possible to measure more precisely its dynamic properties using a variety of in situ dynamic tests. In this paper, we use ambient motions recorded in 27 reinforced concrete shear wall (RCSW) buildings in Montréal to examine how various empirical models to predict the natural periods of RCSW buildings compare to the periods measured in actual buildings under ambient loading conditions. We show that a model in which the fundamental period of RCSW buildings varies linearly with building height would be a significant improvement over the period equation proposed in the 2010 National Building Code of Canada. Models to predict the natural periods of the first two torsion modes and second sway modes are also presented, along with their uncertainty.

Analysis the characteristic of energy and damage of coal-rock composite structure under cycle loading

2021 ◽  
Author(s):  
Tan Li ◽  
Guangbo Chen ◽  
Zhongcheng Qin ◽  
Qinghai Li
Keyword(s):  
Cyclic Loading ◽  
Elastic Energy ◽  
Composite Structure ◽  
Calculation Method ◽  
Composite Structures ◽  
Damage Variable ◽  
Dissipated Energy ◽  
Height Ratio ◽  
Coal Rock ◽  
The Stability

Abstract The stability of coal-rock composite structures is of great significance to coal mine safety production. To study the stability and deformation failure characteristics of the coal-rock composite structure, the uniaxial cyclic loading tests of the coal-rock composite structures with different coal-rock height ratios were carried out. Lithology and coal-rock height ratio play an important role in the energy dissipation of coal-rock composite structures. The higher the coal-rock height ratio, the greater the average elastic energy and dissipated energy produced per cycle of coal-rock composite structures, the smaller the total elastic energy and dissipated energy produced in the process of cyclic loading. Based on the difference of damage variables calculated by dissipative energy method and acoustic emission method, a more sensitive joint calculation method for calculating damage variable was proposed. The joint damage variable calculation method can more accurately and sensitively reflect the damage of coal-rock composite structure under cyclic loading. The macroscopic crack first appears in the coal specimen in the coal-rock composite structure, the degree of broken coal specimens in the composite structure is inversely proportional to the coal-rock height ratio. The strength and deformation characteristics of the coal-rock composite structure are mainly affected by coal sample in the composite structure.

scholarly journals A Novel Parallel Auto-Encoder Framework for Multi-Scale Data in Civil Structural Health Monitoring

Algorithms ◽  
2018 ◽  
Vol 11 (8) ◽  
pp. 112 ◽  
Author(s):  
Ruhua Wang ◽  
Ling Li ◽  
Jun Li
Keyword(s):  
Deep Learning ◽  
Dimension Reduction ◽  
Structural Damage ◽  
Natural Frequencies ◽  
Steel Structure ◽  
Mode Shapes ◽  
Multi Scale ◽  
Training Samples ◽  
Sparsity Constraint ◽  
Deep Learning Network

In this paper, damage detection/identification for a seven-storey steel structure is investigated via using the vibration signals and deep learning techniques. Vibration characteristics, such as natural frequencies and mode shapes are captured and utilized as input for a deep learning network while the output vector represents the structural damage associated with locations. The deep auto-encoder with sparsity constraint is used for effective feature extraction for different types of signals and another deep auto-encoder is used to learn the relationship of different signals for final regression. The existing SAF model in a recent research study for the same problem processed all signals in one serial auto-encoder model. That kind of models have the following difficulties: (1) the natural frequencies and mode shapes are in different magnitude scales and it is not logical to normalize them in the same scale in building the models with training samples; (2) some frequencies and mode shapes may not be related to each other and it is not fair to use them for dimension reduction together. To tackle the above-mentioned problems for the multi-scale dataset in SHM, a novel parallel auto-encoder framework (Para-AF) is proposed in this paper. It processes the frequency signals and mode shapes separately for feature selection via dimension reduction and then combine these features together in relationship learning for regression. Furthermore, we introduce sparsity constraint in model reduction stage for performance improvement. Two experiments are conducted on performance evaluation and our results show the significant advantages of the proposed model in comparison with the existing approaches.

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