TY - GEN

T1 - Reliability evaluation using finite element method

AU - Haldar, Achintya

AU - Huh, Jungwon

AU - Mehrabian, Ali

PY - 2006/1/1

Y1 - 2006/1/1

N2 - A robust and sophisticated structural reliability evaluation procedure is presented. Reliability of any structural systems represented by finite elements can be evaluated using the algorithm. The authors called it a stochastic finite element method. Despite the significant recent progress in the risk and reliability analysis techniques, a large segment of the engineering profession is not familiar with them and thus fails to use them in everyday practices. The procedure is expected to fill that vacuum. Many sources of nonlinearity generally overlooked in the profession can be incorporated in the algorithm. Uncertainties in the load and resistance-related variables are modeled as realistically as possible. The estimation of the failure probability implies that structural behavior just before failure needs to be captured as accurately as possible. The algorithm is capable of evaluating the probability of failure addressing all the related issues. With the help of four informative examples, the application potential of the procedure is clearly demonstrated. It is similar to the deterministic methods and is not expected to be complicated to the practicing engineers; thus, promoting its wider applications. It is shown that the observations made in laboratory experiments can be explained with the procedure. It is hoped that the method will be used in the future to estimate the reliability of real structures.

AB - A robust and sophisticated structural reliability evaluation procedure is presented. Reliability of any structural systems represented by finite elements can be evaluated using the algorithm. The authors called it a stochastic finite element method. Despite the significant recent progress in the risk and reliability analysis techniques, a large segment of the engineering profession is not familiar with them and thus fails to use them in everyday practices. The procedure is expected to fill that vacuum. Many sources of nonlinearity generally overlooked in the profession can be incorporated in the algorithm. Uncertainties in the load and resistance-related variables are modeled as realistically as possible. The estimation of the failure probability implies that structural behavior just before failure needs to be captured as accurately as possible. The algorithm is capable of evaluating the probability of failure addressing all the related issues. With the help of four informative examples, the application potential of the procedure is clearly demonstrated. It is similar to the deterministic methods and is not expected to be complicated to the practicing engineers; thus, promoting its wider applications. It is shown that the observations made in laboratory experiments can be explained with the procedure. It is hoped that the method will be used in the future to estimate the reliability of real structures.

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U2 - 10.1115/IMECE2006-13796

DO - 10.1115/IMECE2006-13796

M3 - Conference contribution

AN - SCOPUS:84920630048

SN - 0791837904

SN - 9780791837900

T3 - American Society of Mechanical Engineers, Safety Engineering and Risk Analysis Division, SERA

BT - Proceedings of 2006 ASME International Mechanical Engineering Congress and Exposition, IMECE2006 - Safety Engineering and Risk Analysis

PB - American Society of Mechanical Engineers (ASME)

T2 - 2006 ASME International Mechanical Engineering Congress and Exposition, IMECE2006

Y2 - 5 November 2006 through 10 November 2006

ER -