| Because masonry is complex in its working behavior with great variability, the exsiting analytic methods are difficult to achieve satisfied results in the analysing of masonry structures, which is restricting the development of masonry structures. At the same time, a vast amount of experimental data has not been utilized fully in analytical methods; besides, some unseen knowledge contained in the testing data needs to further reveal. On the other hand, masonry structure is a rich carrier for the scientific and engineering issues rightly because of its complex behavior. Hence, the research field of masonry structures could be regarded as the fortile soil for developing structural analysis theories and methods. Almost all the structural analysis methods would show their particular functions in this field. Therefore, it is necessary to innovatively develop the existing method for accurately analyzing the capacity and behavior of masonry structure, in order to promote the development of masonry structure and provide references to other fields in structural analysis.This disstertation conducts the following studies based on the concept of structural stressing state:(1) It builds the cellular automata (CA) model to predict the failure pattern of masonry wall panel under lateral load, and detailedly introduce the calculating methods of state values and the criterion for matching similar zones in the CA model. On the one hand, the state values are divided into the configurational state values and the stressing state values. Then, the calculating methods are introduced corresponding to two types of state values. Meanwhile, the dimensional influence coefficient and transtive influence coefficient are introduced to modify the configurational state values. Next, the comparison between two types of state values is given as well. On the other hand, this paper discusses the minimum distance criterion (Criterion1), then, proposes a two-step matching criterion based on the maximum risk (Criterion2) and a matching criterion based on the maximum correlation coefficient (Criterion3).(2) It predicts the failure patterns of masonry wall panels with and without openings as well as different sizes and constraints using the modified cellular automata model. Then, it compares the predicting precisions of two proposed criteria with the existing matching criterion respectively. Next, based on the maximum relative coefficient criterion, it predicts the failure patterns of wall panels with openings using a soild wall panel and a wall panel with opening as the base panel, respectively. The case study validates the maximum relative coefficient criterion. Finally, a phenomenon of structural variation determinacy is revealed based on the two-step matching criterion.(3) By using the strain energy density to reflect the structural stressing state, two methods are proposed to predict the failure loads of masonry wall panels under lateral loads. Case studies validate the two new methods, in comparision of the proposed methods, the yield line method and the FEA method. Also, it discusses the application of the proposed methods, the effect of mesh dimensionon on the precision and the choice of base panel. Besides, a similarity of two proposed methods is verified. Then, based on the predicting results, it studies the influence of the dimension of panel on the predicting precision and proposes a new coefficient to modify the predicting results based on the dimensional effect. Finally, it predicts the failure loads of masonry wall panels with openings.(4) It studies the testing data of reinforced masonry walls under low-cyclic loading and proposes the failure criterion for reinforced masonry wall.In total, this disstertation has contributed in the development of structural analysis theories. Furthermore, it is looking forward to bring benefits in the structural analysis theory, experiment and engineering practice. |
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