• 한국강구조학회 논문집
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• 제10권3호통권36호
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• pp.537-551
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• 1998

본 논문에서는 장기온도측정자료의 통계해석에 바탕을 두고, 합성박스형교량에 작용하는 설계온도하중의 적절한 값을 제안하고자 한다. 이를 위해, 최근에 건설된 합성박스형교량에서 약 20개월간 온도측정을 수행하였다. 극치해석에 앞서, 온도분포특성을 나타내는 주요 매개변수를 정의하고, 이의 계절별변화에 대해 상세히 검토하였다. 이 온도하중매개변수의 극치분포를 Tail-Equivalence법에 의해 결정하고, 주어진 재현기간에 해당되는 온도하중매개변수의 극치값을 계산하였다. 끝으로, 이 결과들을 현 시방서에서 온도하중에 대해 제안하고있는 규정들과 비교하였다. 비교결과로부터, 현 시방서는 합성박스형교량의 온도응력을 나타내는데 불충분하며, 특별한 경우에 있어서 현 설계규정에 포함되지않은 수평방향온도변화를 고려해야만 된다는 결론에 도달하였다.

• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 2000년도 봄 학술발표회 논문집
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• pp.497-500
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• 2000

This paper describes the procedures to estimate for the design thermal loads on prestressed concrete box girder bridges on th basis of the extreme analysis of the temperature data obtained from long-term thermal analyses. Long-term thermal analyses using the environmental data for three years were conducted, and the extreme distributions of th thermal loads are then determined by the tail-equivalence method, and the thermal loads corresponding to selected return period are calculated. Finally, the results are compared to the specifications suggested in a current design code for thermal loads.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권12호
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• pp.4567-4583
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• 2021

This study proposes an analytical approximation algorithm based on extreme value theory (EVT) for the inverse of the power of the incomplete Gamma function. First, the Gumbel function is used to approximate the power of the incomplete Gamma function, and the corresponding inverse problem is transformed into the inversion of an exponential function. Then, using the tail equivalence theorem, the normalized coefficient of the general Weibull distribution function is employed to replace the normalized coefficient of the random variable following a Gamma distribution, and the approximate closed form solution is obtained. The effects of equation parameters on the algorithm performance are evaluated through simulation analysis under various conditions, and the performance of this algorithm is compared to those of the Newton iterative algorithm and other existing approximate analytical algorithms. The proposed algorithm exhibits good approximation performance under appropriate parameter settings. Finally, the performance of this method is evaluated by calculating the thresholds of space-time block coding and space-frequency block coding pattern recognition in multiple-input and multiple-output orthogonal frequency division multiplexing. The analytical approximation method can be applied to other related situations involving the maximum statistics of independent and identically distributed random variables following Gamma distributions.