Journal article Open Access

Optimization of the structural coupling between RC frames, CLT shear walls and asymmetric friction connections

Aloisio, Angelo; Pelliciari, Matteo; Sirotti, Stefano; Boggian, Francesco; Tomasi, Roberto


Citation Style Language JSON Export

{
  "DOI": "10.1007/s10518-022-01337-8", 
  "author": [
    {
      "family": "Aloisio, Angelo"
    }, 
    {
      "family": "Pelliciari, Matteo"
    }, 
    {
      "family": "Sirotti, Stefano"
    }, 
    {
      "family": "Boggian, Francesco"
    }, 
    {
      "family": "Tomasi, Roberto"
    }
  ], 
  "issued": {
    "date-parts": [
      [
        2022, 
        2, 
        16
      ]
    ]
  }, 
  "abstract": "<p>This paper focuses on the optimum design of the e-CLT technology. The e-CLT technology consists in adding cross laminated timber (CLT) walls to an existing reinforced concrete (RC) inflled frame via asymmetric friction connection (AFC). The authors carried out quasi-static and nonlinear dynamic analyses. The RC frame is modeled in OpenSees by fber-section-based elements with force based formulation. The contribution of the infill is simulated using a degrading data-driven Bouc&ndash;Wen model with a slip-lock element while the AFC is modelled with a modified Coulomb model. Different types of infill, aspect ratio, scaling, and member size are considered. The benefits of using e-CLT technology are discussed and the ranges of optimum performance of the AFC are estimated. A comparison of the performance of traditional infill with the e-CLT system is presented. The authors provide optimum intervals of the ratio between slip force and in-plane stiffness of the CLT panel, following energy and displacement-based criteria. The seismic displacement demand under various seismic scenario&nbsp;is investigated. Correlations between the RC characteristics and the optimum design ratios bestow possible criteria for the design of the AFC</p>", 
  "title": "Optimization of the structural coupling between RC frames, CLT shear walls and asymmetric friction connections", 
  "type": "article-journal", 
  "id": "6108953"
}
25
25
views
downloads
Views 25
Downloads 25
Data volume 77.7 MB
Unique views 22
Unique downloads 23

Share

Cite as