The test results demonstrate that: (a) the steel frame structure mainly depends on the impacted column to resist the impact loading; and (b) when subjected to debris flow, the polyurethane-steel sandwich structure exhibits superior performance in resisting the impact loading. [PERSON]; et al. Development of a Self-Powered Magnetorheological Damper System for Cable Vibration Control [5]. In this paper, a new nonlinear dissipative device, which is the self-powered magnetorheological (MR) damper control system, is applied to attenuate the undesirable vibration of long stay cables. The vibration mitigation performance of the presented self-powered MR damper system is evaluated by model tests with a 21.6-m long cable. The experimental results show that: (a) the supplemental modal damping ratios of the cable in the first four modes can be significantly enhanced by the self-powered MR damper system, demonstrating the feasibility and effectiveness of the new smart passive system; and (b) both the self-powered MR damper and the generator are quite similar to a combination of a traditional linear viscous damper and a negative stiffness device, with the negative stiffness being able to enhance the mitigation efficiency against cable vibration. **Current cutting-edge research. ** Since it is really common that the vibrating structures would present nonlinear behaviors when being subjected to strong excitations, we occasionally use the nonlinear deformation in the main structure to dissipate vibration energy. Undoubtedly, the nonlinear properties of vibrating structures should be considered when estimating the seismic performance of structures and evaluating the damping performance of dampers. In this sense, some scholars proposed new simulation tools for vibrating structures currently in a nonlinear stage, which complements the current cutting-edge research of the analysis methods for nonlinear vibrating structures. The papers in this category and corresponding comments are listed below:  
[PERSON]; et al. Robustness Analysis of the Collective Nonlinear Dynamics of a Periodic Coupled Pendulums Chain [6]. The paper conducts the robustness analysis of a special nonlinear system, which is namely the periodic coupled pendulums chain, by a generic discrete analytical model. The main contribution of this paper is that the robustness analysis results demonstrate the benefits of the presence of imperfections in such periodic structures. To be more specific, imperfections can be utilized to generate energy localization that is suitable for several engineering applications, such as vibration energy harvesting. [PERSON]; et al. Member Discrete Element Method for Static and Dynamic Responses Analysis of Steel Frames with Semi-Rigid Joints [7]. This paper's objective is to investigate the complex behaviors of steel frames with nonlinear semi-rigid connections, including both static and dynamic responses, by a simple and effective numerical method that is based on the Member Discrete Element Method (MDEM). The advantages of the proposed simulation approach are as follows: (a) the modified MDEM can accurately capture the linear and nonlinear behavior of semi-rigid connections; and (b) the modified MDEM can avoid the difficulties of finite element method (FEM) in dealing with strong nonlinearity and discontinuity. [PERSON]; et al. Prediction of Ultimate Strain and Strength of FRP-Confined Concrete Cylinders Using Soft Computing Methods [8]. In this paper, the effectiveness of four different soft computing methods for predicting the ultimate strength and strain of concrete cylinders confined with fiber-reinforced polymer (FRP) sheets is evaluated, including radial basis neural network (RBNN), adaptive neuro fuzzy inference system (ANFIS) with subtractive clustering (ANFIS-SC), ANFIS with fuzzy c-means clustering (ANFIS-FCM)and M5 model tree (M5 Tree). The comparison results show that the ANFIS-SC, performed slightly better than the RBNN and ANFIS-FCM in estimating the ultimate strain of confined concrete.