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Reliability of Nonlinear Direct Spectrum Method with Mixed Building Structures

복합구조물에 대한 비선형 직접스펙트럼법의 신뢰성

  • Published : 2003.04.01

Abstract

Most structures are expected to deform beyond the limit of linearly elastic behavior when subjected to strong ground motion. Seismic evaluation of structure requires an estimation of the structural performance in terms of displacement demand imposed by earthquakes on the structure. The nonlinear response history analysis(NRHA) among various nonlinear analysis methods is the most accurate to compute seismic performance of structures, but it is time-consuming and necessitate more efforts. The nonlinear approximate methods, which is more practical and reliable tools for predicting seismic behavior of structures, are extensively studied. Among them, the capacity spectrum method(CSM) is conceptually simple, but the iterative procedure is time-consuming and may sometimes lead to no solution or multiple solutions. This paper considers a nonlinear direct spectrum method(NDSM) to evaluate seismic performance of mixed building structures without iterative computations, given dynamic property T from stiffness skeleton curve and nonlinear pseudo acceleration $A_{y}$/g and/or ductility ratio $\mu$ from response spectrum. The nonlinear response history analysis has been performed and analyzed with various earthquakes for estimation of reliability and practicality of NDSM with mixed building structures.

대부분의 구조물들은 강한 지진을 받을 경우, 비선형 거동의 변형이 예상된다. 구조물의 내진평가는 구조물에 가해진 지진력에 대한 변위요구와 같은 구조물의 성능평가를 필요로 한다. 여러 가지 비선형해석법 가운데 구조물의 내진역량을 계산하기 위한 가장 정확한 방법은 비선형 시각이력해석(NRHA)이긴 하나 많은 시간과 노력이 요구되고 있다. 따라서 구조물의 비선형 거동을 보다 간편하게 예측하기 위한 정확하고 실용적인 비선형 약산해석법에 관한 연구들이 활발히 진행되고 있다. 일부 약산적 방법 중 능력스펙트럼법(CSM)은 개념적으로는 간단하나 반복적인 계산과정과 함께 때로는 해가 없거나 중복적인 해를 갖는 약점을 갖고 있다. 본 연구에서는 강성골격곡선으로부터 산정한 구조물의 초기 탄성진동주기 T와 응답스펙트럼으로부터 산정한 비선형 유사가속도 h$_{y}$ /g 및 연성비 $\mu$를 사용하여, 반복적인 계산과정 없이 복합구조물의 내진성능을 평가하는 비선형 직접스펙트럼법(NDSM)을 고려한다. 다양한 지진과 복합구조물에 대한 NDSM의 신뢰성과 실용성을 비선형 시각이력해석(NRHA) 결과와 비교함으로써 검토하였다.

Keywords

References

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