| contributor author | Bharat Pradhan | |
| contributor author | Maria Zizzo | |
| contributor author | Fabio Di Trapani | |
| contributor author | Liborio Cavaleri | |
| date accessioned | 2022-05-07T20:24:28Z | |
| date available | 2022-05-07T20:24:28Z | |
| date issued | 2021-12-23 | |
| identifier other | (ASCE)ST.1943-541X.0003253.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4282387 | |
| description abstract | The aim of this paper is to check the accuracy of analytical capacity models available for the prediction of out-of-plane strength of unreinforced masonry (URM) infill walls. The accuracy of the available models is checked by detailed comparison with the existing experimental results. In doing so, both types of capacity models are evaluated: Type I for the prediction of the strength in the undamaged state, and Type II for the prediction of strength reduction in the in-plane damaged state. Results from the calculations are discussed, and the best among the available models are recommended. Furthermore, the influence of orthotropy of the infill masonry in the out-of-plane capacity predicted by the models is discussed. The paper also highlights the prospect of using the capacity models in the cases of infill-beam gap and infill with openings. In the paper, the best pairs of models (composed by a model for the prediction of the out-of-plane strength in the undamaged state and a model for the prediction of the reduction of the out-of-plane strength in the damaged state, not necessarily provided by the same author) for URM infill walls, are suggested for the first time. | |
| publisher | ASCE | |
| title | Out-of-Plane Behavior of URM Infill: Accuracy of Available Capacity Models | |
| type | Journal Paper | |
| journal volume | 148 | |
| journal issue | 3 | |
| journal title | Journal of Structural Engineering | |
| identifier doi | 10.1061/(ASCE)ST.1943-541X.0003253 | |
| journal fristpage | 04021292 | |
| journal lastpage | 04021292-18 | |
| page | 18 | |
| tree | Journal of Structural Engineering:;2021:;Volume ( 148 ):;issue: 003 | |
| contenttype | Fulltext | |