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  <title>DSpace Collection:</title>
  <link rel="alternate" href="http://localhost:8081/jspui/handle/123456789/15068" />
  <subtitle />
  <id>http://localhost:8081/jspui/handle/123456789/15068</id>
  <updated>2026-05-07T20:50:00Z</updated>
  <dc:date>2026-05-07T20:50:00Z</dc:date>
  <entry>
    <title>2023 Flash Flood Impact Manifestation on Livelihood Capital and Recovery Processes of Local Himalayan Communities</title>
    <link rel="alternate" href="http://localhost:8081/jspui/handle/123456789/20526" />
    <author>
      <name>Mandal, Anirban</name>
    </author>
    <id>http://localhost:8081/jspui/handle/123456789/20526</id>
    <updated>2026-04-24T16:01:21Z</updated>
    <published>2024-05-01T00:00:00Z</published>
    <summary type="text">Title: 2023 Flash Flood Impact Manifestation on Livelihood Capital and Recovery Processes of Local Himalayan Communities
Authors: Mandal, Anirban</summary>
    <dc:date>2024-05-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>NUMERICAL STUDY OF GLASS FAILURE DUE TO COMPARTMENT FIRE</title>
    <link rel="alternate" href="http://localhost:8081/jspui/handle/123456789/18678" />
    <author>
      <name>Bhardwaj, Vikas</name>
    </author>
    <id>http://localhost:8081/jspui/handle/123456789/18678</id>
    <updated>2026-01-14T10:06:49Z</updated>
    <published>2024-05-01T00:00:00Z</published>
    <summary type="text">Title: NUMERICAL STUDY OF GLASS FAILURE DUE TO COMPARTMENT FIRE
Authors: Bhardwaj, Vikas
Abstract: The criteria for glass failure are primarily determined by the initiation of the first crack. However, the subsequent consequences of this cracking, which include the formation of multiple cracks and their merging, resulting in fall-out conditions under varying thermal loads, become increasingly significant. This numerical study concentrates on glass failure induced by compartment fires.&#xD;
The study validates the findings of Test 9 from the research paper titled "Investigation of thermal breakage and heat transfer in single, insulated, and laminated glazing under fire conditions" by Yu Wang et al. (2017). Furthermore, this research examines the thermal performance of different interlayer materials used in laminated glass, specifically Polyvinyl Butyral (PVB), Thermoplastic Polyurethane (TPU), and Ethylene-vinyl Acetate (EVA).&#xD;
By varying thickness and heat transfer coefficient of these materials, this study aims to understand their behaviour under fire conditions. Throughout the simulations, total incident heat flux, surrounding temperature, and air temperature on the fire-exposed side are kept constant to ensure consistency across different scenarios.&#xD;
The research includes both plane laminated glass and point-supported laminated glass configurations, providing a detailed analysis of how these variables influence thermal performance and failure mechanisms of glass under fire conditions.</summary>
    <dc:date>2024-05-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>FLOOD DAMAGE ASSESSMENT USING BIM AND GIS INTEGRATION AT NEIGHBOURHOOD SCALE</title>
    <link rel="alternate" href="http://localhost:8081/jspui/handle/123456789/18677" />
    <author>
      <name>Kumud, Suchitra</name>
    </author>
    <id>http://localhost:8081/jspui/handle/123456789/18677</id>
    <updated>2026-01-14T10:02:59Z</updated>
    <published>2024-05-01T00:00:00Z</published>
    <summary type="text">Title: FLOOD DAMAGE ASSESSMENT USING BIM AND GIS INTEGRATION AT NEIGHBOURHOOD SCALE
Authors: Kumud, Suchitra
Abstract: In response to the critical need for effective flood damage assessment (FDA) strategies in flood-prone regions, this research introduces an integrated approach utilizing Building Information Modeling (BIM) and Geographic Information Systems (GIS). Focused on a proposed police training academy site in Gopalganj, Bihar, the study employs Autodesk Revit for detailed BIM modeling and integrates these models into Esri ArcGIS Pro for spatial analysis. The research utilizes HEC-RAS simulations to generate flood inundation maps, providing insights into the varying degrees of damage across site structures. Results highlight significant damage to key facilities such as the Store building, Sergeant Major Building, and several Watchtowers. Financial impact analysis reveals the Female Barrack as the most affected. This study emphasizes the urgent need for targeted flood mitigation strategies to enhance site resilience and minimize financial losses. By leveraging BIM and GIS technologies, the research aims to inform proactive disaster management strategies and foster sustainable urban development practices in flood-prone areas.</summary>
    <dc:date>2024-05-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>DEVELOPMENT OF GROUND MOTION PREDICTION EQUATION FOR HIMALAYAN REGION</title>
    <link rel="alternate" href="http://localhost:8081/jspui/handle/123456789/18676" />
    <author>
      <name>Khan, Mo Iliyas</name>
    </author>
    <id>http://localhost:8081/jspui/handle/123456789/18676</id>
    <updated>2026-01-14T09:59:22Z</updated>
    <published>2024-05-01T00:00:00Z</published>
    <summary type="text">Title: DEVELOPMENT OF GROUND MOTION PREDICTION EQUATION FOR HIMALAYAN REGION
Authors: Khan, Mo Iliyas
Abstract: For the Indian Himalayan region, an attenuation relationship for peak horizontal ground acceleration has been established. 424 peak ground horizontal accelerations from 68 earthquakes (3.1 ≤ Mw ≤7.8) that were detected by strong-motion arrays in India make up the database. A stratified regression model with two steps is used in this analysis. The attenuation relationship proposed is. Log (PGA) = 0.843 + 0.4136M – 1.009(X + e^0.1655M) ± 0.902&#xD;
Where PGA is the peak ground acceleration (g), M is the magnitude, and X is the hypocentral distance from the source. The residual sum of squares is 53.480, standard error of proposed relationship is 0.90.</summary>
    <dc:date>2024-05-01T00:00:00Z</dc:date>
  </entry>
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