Multiple　physical　variables　potentially　affect　the　friction　coefficient　of　Asymmetric　Friction　Connections　(AFC).　This　paper　discusses　the　cyclic　response　of　a　class　of　AFC　subjected　to　repeated　load　protocols.　Two　phenomena　are　observed.　First,　the　friction　coefficient,　initially　higher　due　to　wear　phenomena　and　moment-axial　force-shear　force　interaction,　stabilizes　after　multiple　cycles.　Second,　the　test　repetitions　on　the　same　specimen　show　that　the　friction　coefficient　at　the　beginning　of　the　loading　protocol　is　higher　than　that　observed　at　the　end　of　the　antecedent　load　protocol.　The　experimental　data　prove　that　the　dissipated　energy　during　the　current　load　test,　temperature,　and　the　specimen＇s　history　affect　the　friction　coefficient.　This　paper　presents　two　probabilistic　friction　models　calibrated　using　a　Bayesian　approach.　The　first　engineering-oriented　model　is　dependent　on　the　dissipated　hysteretic　energy.　The　second　includes　the　measured　temperature　as　a　model　regressor　to　estimate　its　possible　role　in　the　response.　The　proposed　probabilistic　models　can　be　used　to　predict　with　satisfactory　accuracy　the　friction　coefficient　in　Coulomb-like　hysteresis　models　of　AFCs.