Browsing by Author "Naveen, B.O."

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    HDMR-Based Model Update in Structural Damage Identification
    (2019) Naveen, B.O.; Balu, A.S.
    This paper presents a practical approach of model updating based on high-dimensional model representation (HDMR). The proposed methodology involves integrated finite element modeling, obtaining explicit relationships between the structural responses and parameters using HDMR and minimization of objective function developed using structural responses obtained from HDMR approximation functions using genetic algorithm. First, the efficiency of the proposed method is demonstrated by considering a simply supported beam example. Later model updating of an existing bridge is considered to check the adequacy of the proposed method. � 2019 World Scientific Publishing Company.
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    HDMR-Based Model Update in Structural Damage Identification
    (World Scientific Publishing Co. Pte Ltd wspc@wspc.com.sg, 2019) Naveen, B.O.; Balu, A.S.
    This paper presents a practical approach of model updating based on high-dimensional model representation (HDMR). The proposed methodology involves integrated finite element modeling, obtaining explicit relationships between the structural responses and parameters using HDMR and minimization of objective function developed using structural responses obtained from HDMR approximation functions using genetic algorithm. First, the efficiency of the proposed method is demonstrated by considering a simply supported beam example. Later model updating of an existing bridge is considered to check the adequacy of the proposed method. © 2019 World Scientific Publishing Company.
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    Structural damage identification of bridge using high dimensional model representation
    (Bellwether Publishing, Ltd., 2021) Naveen, B.O.; Balu, A.S.
    Any engineering structure under the action of various internal and external factors like changes in the material properties, inadequate design, faulty construction, deterioration due to malfunctioning are susceptible to damages. In the past, many methods have attempted to identify damage by solving an inverse problem, which inevitably needs an analytical model. However, often the construction of these analytical model requires considerable effort in building a mathematical framework with acceptable level of accuracy and reliability which makes these approaches less attractive. To circumvent this complexity, this work presents a computationally efficient approach in structural damage identification using high dimensional model representation. © 2020 Taylor & Francis Group, LLC.