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    <title>DSpace Collection:</title>
    <link>http://dspace.dtu.ac.in:8080/jspui/handle/123456789/45</link>
    <description />
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        <rdf:li rdf:resource="http://dspace.dtu.ac.in:8080/jspui/handle/repository/22653" />
        <rdf:li rdf:resource="http://dspace.dtu.ac.in:8080/jspui/handle/repository/22552" />
        <rdf:li rdf:resource="http://dspace.dtu.ac.in:8080/jspui/handle/repository/22551" />
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    <dc:date>2026-04-28T04:03:15Z</dc:date>
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  <item rdf:about="http://dspace.dtu.ac.in:8080/jspui/handle/repository/22653">
    <title>UTILIZATION OF ARTIFICIAL INTELLIGENCE IN SEISMIC ANALYSIS OF REINFORCED CONCRETE FRAMED BUILDINGS</title>
    <link>http://dspace.dtu.ac.in:8080/jspui/handle/repository/22653</link>
    <description>Title: UTILIZATION OF ARTIFICIAL INTELLIGENCE IN SEISMIC ANALYSIS OF REINFORCED CONCRETE FRAMED BUILDINGS
Authors: RANA, SHUBHAM
Abstract: Earthquakes are among the most catastrophic natural disasters, causing&#xD;
significant losses in life and property worldwide. The primary cause of structural&#xD;
damage during an earthquake is the unpredictable lateral loads imposed on buildings.&#xD;
To mitigate such damage, the structural framework must be robust enough to withstand&#xD;
these loads. Advances in software such as ETABS (Extended Three-dimensional&#xD;
Analysis of Building Systems) have enhanced the understanding of structural behavior&#xD;
under seismic loads. Recently, the integration of artificial intelligence (AI) techniques,&#xD;
particularly artificial neural networks (ANNs), has shown promise in improving the&#xD;
seismic analysis of reinforced concrete framed buildings.&#xD;
This paper focuses on the application of ANN in predicting the base shear and&#xD;
deflection of an eight-story reinforced concrete building modeled using ETABS. The&#xD;
research involves training an ANN model using data generated from ETABS&#xD;
simulations, followed by validation of the ANN predictions against ETABS results.&#xD;
Key metrics such as Scatter Index (SI), root-mean-squared error (RMSE), and&#xD;
correlation coefficient (R²) are utilized to evaluate the accuracy of the ANN model.&#xD;
The study highlights the challenges in AI model development, including data quality&#xD;
and generalization to different contexts.&#xD;
The findings demonstrate that the ANN model achieves high prediction&#xD;
accuracy, with a scatter index of less than 1% for both base shear and deflection, and&#xD;
v&#xD;
a correlation coefficient close to 1. These results underscore the potential of ANN as a&#xD;
reliable tool for early prediction of structural response during seismic events. The study&#xD;
concludes by suggesting that ANN-based approaches can significantly enhance&#xD;
seismic analysis, offering a more efficient and accurate alternative to traditional&#xD;
methods, with future potential for real-time structural health monitoring and&#xD;
assessment.</description>
    <dc:date>2024-05-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="http://dspace.dtu.ac.in:8080/jspui/handle/repository/22552">
    <title>NON-LINEAR DYNAMIC ANALYSIS OF REINFORCED CONCRETE STRUCTURE</title>
    <link>http://dspace.dtu.ac.in:8080/jspui/handle/repository/22552</link>
    <description>Title: NON-LINEAR DYNAMIC ANALYSIS OF REINFORCED CONCRETE STRUCTURE
Authors: TAWRA, DIVYANSH
Abstract: This study focuses on understanding how a reinforced concrete (RC) building responds&#xD;
to strong earthquakes by using nonlinear dynamic analysis. A G+4 (ground plus four&#xD;
floors) building model is created and analysed under two different real earthquake&#xD;
records: the 1940 El Centro earthquake and the 2001 Bhuj earthquake. The goal is to&#xD;
observe how the building behaves when subjected to different types of seismic forces and&#xD;
to evaluate its performance during strong ground shaking.&#xD;
The building is modeled and analysed using ETABS v19, following relevant Indian&#xD;
standards, including IS 456:2000 for structural design and IS 1893:2016 for seismic&#xD;
loading. Nonlinear time history analysis is performed to simulate realistic behaviour by&#xD;
considering both material and geometric nonlinearity. Important response parameters&#xD;
such as base shear, lateral displacement, story drift, and time history plots are studied for&#xD;
each earthquake case.&#xD;
These results highlight the importance of using nonlinear dynamic analysis and&#xD;
considering multiple seismic inputs when assessing the safety and performance of RC&#xD;
buildings in earthquake-prone areas.</description>
    <dc:date>2025-12-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="http://dspace.dtu.ac.in:8080/jspui/handle/repository/22551">
    <title>WIND EFFECTS ON TALL BUILDINGS: A CAMPARISON OF MAJOR INTERNATIONAL CODES</title>
    <link>http://dspace.dtu.ac.in:8080/jspui/handle/repository/22551</link>
    <description>Title: WIND EFFECTS ON TALL BUILDINGS: A CAMPARISON OF MAJOR INTERNATIONAL CODES
Authors: SINGH, ASHISH
Abstract: This M.Tech thesis gives a rigorous and systematic comparative examination&#xD;
of worldwide and national wind loading standards, with a special emphasis on&#xD;
the Indian Standard IS 875 (Part 3) 2015 and American Society of Civil&#xD;
Engineers standard ASCE 7-22. This study's primary objective is to investigate&#xD;
and compare the wind-induced responses of high-rise buildings predicted by&#xD;
both codes, highlighting important discrepancies and their practical&#xD;
consequences for structural design. The study uses dynamic analysis method to&#xD;
evaluate the wind load effects on a number of tall buildings with different&#xD;
geometrical shapes. Buildings of 130 meters in height with various cross-&#xD;
sectional shapes (such as rectangular, octagonal) were studied In order to gain&#xD;
a clearer understanding of effect of geometry on Wind response. In addition,&#xD;
an 65-meter-tall building was included in the research to extend the scope and&#xD;
assess the impact of height variation on wind behaviour.&#xD;
For consistency, the comparison analysis was carried out using terrain&#xD;
category 3 as described by both standards. Key aspects investigated include&#xD;
design wind pressure distribution in relation to height, base shear, storey drift&#xD;
and storey displacement. These metrics were chosen to provide a full&#xD;
understanding of structural performance and safety consequences.&#xD;
The findings of this study reveal considerable discrepancies in wind pressure&#xD;
calculations and structural responses resulting from the two standards. These&#xD;
variations are examined critically in terms of their impact on structural design&#xD;
practices, cost consequences, and safety margins. The analysis not only&#xD;
discloses each code's underlying conservatism or leniency, but it also&#xD;
emphasizes the need of adopting a design standard that is suited for the&#xD;
specific regional and structural context. Finally, the findings of this thesis&#xD;
contribute to a more comprehensive understanding of wind load behavior in&#xD;
high-rise structures, providing significant insights for structural engineers,&#xD;
code developers, and academics. This study intends to improve the resilience,&#xD;
the structural integrity and performance of high-rise buildings in regions prone&#xD;
to strong winds by closing the design gap between international and Indian&#xD;
requirements.</description>
    <dc:date>2025-05-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="http://dspace.dtu.ac.in:8080/jspui/handle/repository/22550">
    <title>INFLUENCE OF SOIL-STRUCTURE INTERACTION ON SEISMIC PERFORMANCE OF TALL BUILDINGS</title>
    <link>http://dspace.dtu.ac.in:8080/jspui/handle/repository/22550</link>
    <description>Title: INFLUENCE OF SOIL-STRUCTURE INTERACTION ON SEISMIC PERFORMANCE OF TALL BUILDINGS
Authors: YADAV, ASHISH
Abstract: The interaction between a building and the supporting soil plays a critical role in&#xD;
determining structural behavior, especially during seismic events. This project focuses on&#xD;
evaluating the Soil-Structure Interaction (SSI) effects for a G+14 reinforced concrete&#xD;
building with a basement, situated in Delhi — a region classified under Seismic Zone IV&#xD;
according to IS 1893 (Part 1): 2016. While conventional analysis often assumes a fixed support&#xD;
at the foundation level, such assumptions can overlook the influence of soil flexibility on a&#xD;
building’s dynamic response.&#xD;
Using ETABS 20, the structure is modeled to include both the superstructure and&#xD;
basement levels. Soil flexibility is accounted for by introducing equivalent spring constants&#xD;
that simulate the supporting ground’s response under load. These constants are based on&#xD;
assumed geotechnical conditions typical of Delhi’s subsoil. The study examines how variations&#xD;
in soil stiffness affect key structural parameters such as lateral displacement, base shear, time&#xD;
period, and inter-story drift.&#xD;
Response spectrum analysis is used to compare the seismic behavior of the fixed-&#xD;
base model with that of models incorporating SSI. It is observed that neglecting soil compliance&#xD;
may result in either underestimating or overdesigning structural components. The study also&#xD;
provides insight into how SSI affects basement wall behavior due to lateral earth pressures.&#xD;
In conclusion, this research demonstrates the significance of including soil-&#xD;
structure interaction in high-rise structural models, especially for earthquake-prone zones. It&#xD;
also recommends the integration of structural software like ETABS with geotechnical tools&#xD;
such as PLAXIS for more refined SSI studies in future research.</description>
    <dc:date>2025-05-01T00:00:00Z</dc:date>
  </item>
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