본 논문에서는 국제공동연구원 대형지진시험구조물의 강세진동시험결과 대한 상관해석와 지진응답해석에 관해 연구하였다. 지반-구조물 상호작용을 위해서 구조물과 근영지반은 유한요소로 모형화하고 원역지반은 무한요소로 모형화하는 직적법을 사용하였으며, 지진응답은 부분구조법에 근거한 파 입력기법을 사용하여 해석하였다. 시험후 상관해석을 통해 각 지반영역의 물성이 강제진동 시험에서 계측된 구조물 응답과 일치하도록 보정하였다. 보정된 지반물성을 초기 선형값으로 사용하고 등가선형화기법을 적용하여 지진에 관한 구조물의 응답을 예측하였다. 지반의 비선형거동을 고려하여 얻어진 구조물 응답은 계측된 결과와 매우 잘 일치한 반면, 초기 선형물성치를 사용한 응답결과는 상당한 차이를 보이고 있어서, 지반 비선형 거동의 영향이 중요함을 알 수 있었다.

Based on the method of determination for relative stability of each phase from the difference among the interaction parameters of the phases consisting the mixed layer, the types of interactions between layers were specified and interaction parameter between layers in ordered domain was analytically derived as a function parameter between layers in ordered domain was analytically derived as a function of not only temperature and mole fraction of layers but also ordering parameter. Interaction parameter between the different layers in ordered phase, L is as follows:{{{{ {L }_{1 } (X,Q,T)= { C} over { Q} -4(1-2Q) { L}^{2 } - { RT} over {2} ln { 1} over {2 } - { 2RT} over { { X}_{ s} } ln { { 4QX}`_{s } ^{2 } } over {(1- { X}_{s }- { QX}_{s })( { X}_{s }- {QX }_{s } ) } }}}}L2 is the interaction parameter between ordered and disordered phase in domain and is the mole fraction of the domain which represent the infinite length of mixed layer mineral and Q and C are the reaction progress parameter and arbitrary constant, respectively. This equation was used for the I/S mixed layer clay minerals to infer the relative stability of R1 type I/S mixed layer in the temperature range from 373K to 450K. The result of calculation suggest that, owing to the decrease in interaction parameter with increasing temperature. The interaction parameter decreases more rapidly with decreasing mole fraction of smectite in domain, which is consistent with the fact that the probability of finding the series smectite layer is lo in the domain with small mole fraction of smectite layers in natural system.

In complex decision making such as ill-defined system, one of the main problem is how to treat ambiguous aspect of the decision making. According to the complexity and ambiguity of the objective systems, many types of evaluation attributes are necessary for the rational decision and the relationship among the attributes become complex and fuzzy. Fuzzy integral is very effective to evalute the complex system with interaction between attributes but how to save the evaluation efforts in the decision making process of grading the membership of the objects or alternative is the problem to be tackled. Because the more object there are to evaluate, the number of decisions to made increase exponentially. Therefore, this paper aimes to propose a new evaluation algorithm based on fuzzy integral which can save the evaluator's efforts in decision making process. The proposed algorithm is constructed as follows : First, compose the fuzzy measure by introducing AHP(Analytical Hierachy Process) & mutual interaction coefficient. Second, generate fuzzy measure value of monotone family set for calculating the fuzzy integral. The effectiveness of the proposed algorithm is investigated through the example and sensitivity of interaction coefficient is illustrated.