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    Probabilistic Methods for Aerospace Engineering 

    Source: Journal of Aerospace Engineering:;2001:;Volume ( 014 ):;issue: 004
    Author(s): Sankaran Mahadevan
    Publisher: American Society of Civil Engineers
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    Stochastic FEM‐Based Validation of LRFD 

    Source: Journal of Structural Engineering:;1991:;Volume ( 117 ):;issue: 005
    Author(s): Sankaran Mahadevan; Achintya Haldar
    Publisher: American Society of Civil Engineers
    Abstract: Stochastic finite‐element based reliability analysis is used to examine the performance of the load and resistance factor design (LRFD) method for steel structures. The reliabilities of members in actual configurations are ...
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    Closure to “<i>Stochastic FEM‐Based Validation of LRFD</i>” by Sankaran Mahadevan and Achintya Haldar (May, 1991, Vol. 117, No. 5) 

    Source: Journal of Structural Engineering:;1992:;Volume ( 118 ):;issue: 009
    Author(s): Sankaran Mahadevan; Achintya Haldar
    Publisher: American Society of Civil Engineers
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    Efficient Algorithm for Stochastic Structural Optimization 

    Source: Journal of Structural Engineering:;1989:;Volume ( 115 ):;issue: 007
    Author(s): Sankaran Mahadevan; Achintya Haldar
    Publisher: American Society of Civil Engineers
    Abstract: A stochastic structural optimization procedure using element‐level reliabilities as constraints is proposed here. The procedure is robust and efficient and closely resembles the practical approach used in design offices. ...
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    Cracking Analysis of Plain Concrete under Coupled Heat Transfer and Moisture Transport Processes 

    Source: Journal of Structural Engineering:;2007:;Volume ( 133 ):;issue: 003
    Author(s): Dong Chen; Sankaran Mahadevan
    Publisher: American Society of Civil Engineers
    Abstract: A smeared cracking approach is developed in this paper to simulate the crack propagation in plain concrete caused by coupled heat transfer and moisture transport processes. The cracking state of each concrete element is ...
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    Reliability Estimation with Time-Variant Loads and Resistances 

    Source: Journal of Structural Engineering:;2000:;Volume ( 126 ):;issue: 005
    Author(s): Animesh Dey; Sankaran Mahadevan
    Publisher: American Society of Civil Engineers
    Abstract: This paper presents an efficient simulation-based technique to estimate the system reliability of structures that experience variation in loads and resistance over time. To arrive at a realistic reliability estimate of ...
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    Fatigue Reliability Analysis Using Nondestructive Inspection 

    Source: Journal of Structural Engineering:;2001:;Volume ( 127 ):;issue: 008
    Author(s): Ruoxue Zhang; Sankaran Mahadevan
    Publisher: American Society of Civil Engineers
    Abstract: In this paper, a comprehensive approach is developed to integrate computational reliability methods and nondestructive inspection (NDI) for fatigue reliability evaluation. Uncertainties existing in the performance and ...
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    First-Order Approximation Methods in Reliability-Based Design Optimization 

    Source: Journal of Mechanical Design:;2005:;volume( 127 ):;issue: 005:;page 851
    Author(s): Anukal Chiralaksanakul; Sankaran Mahadevan
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Efficiency of reliability-based design optimization (RBDO) methods is a critical criterion as to whether they are viable for real-world problems. Early RBDO methods are thus based primarily on ...
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    Inclusion of Model Errors in Reliability-Based Optimization 

    Source: Journal of Mechanical Design:;2006:;volume( 128 ):;issue: 004:;page 936
    Author(s): Sankaran Mahadevan; Ramesh Rebba
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper proposes a methodology to estimate errors in computational models and to include them in reliability-based design optimization (RBDO). Various sources of uncertainties, errors, and ...
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    Joint Probability Formulation for Multiobjective Optimization Under Uncertainty 

    Source: Journal of Mechanical Design:;2011:;volume( 133 ):;issue: 005:;page 51007
    Author(s): Sirisha Rangavajhala; Sankaran Mahadevan
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper presents a new approach to solve multiobjective optimization problems under uncertainty. Unlike the existing state-of-the-art, where means/variances of the objectives are used to ensure ...
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