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Title: | ELEMENT RELIABILITY OF STRUCTURE BASED ON HASOFER-LIND RELIABILITY INDEX |
Authors: | SAHNI, DEEVIT DEEPAK |
Keywords: | ELEMENT RELIABILITY RELIABILITY INDEX HASOFER-LIND NATURAL CALAMITIES |
Issue Date: | May-2023 |
Series/Report no.: | TD-6437; |
Abstract: | The deception in a system of structure in civil engineering often arises from uncertain conditions and various types of failures, including design, temporary, and failures caused by natural calamities. To address these challenges, engineers employ the art of formulating mathematical models that can answer questions related to the probability of a structure behaving in a specific way. These models take into account the randomness or incomplete knowledge of material properties, geometric dimensions, as well as the uncertainties associated with the loads and actions acting on the structure. Reliability analysis extends the traditional deterministic analysis of structures, which assumes known and fixed parameters, by considering the uncertainties present in these parameters. It involves developing mathematical models that can provide insights into how a structure will behave when all material as well as geometric properties, and actions are uniquely defined. By incorporating probabilistic models for the uncertain variables, namely material strengths, dimensions, and loads, engineers can quantitatively assess the likelihood of failure or desired behaviour for a given structure. The objective of reliability analysis is to gain a deeper understanding of how a structure will perform under uncertain conditions. By evaluating the reliability of a structure, engineers can make informed decisions regarding design choices, risk mitigation strategies, and maintenance planning to ensure the safety and performance of civil engineering structures. |
URI: | http://dspace.dtu.ac.in:8080/jspui/handle/repository/19877 |
Appears in Collections: | M.E./M.Tech. Civil Engineering |
Files in This Item:
File | Description | Size | Format | |
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DEEVIT DEEPAK SAHNI MTech.pdf | 3.18 MB | Adobe PDF | View/Open |
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