Optimal design parameters of drum’s isolation system for a double-drum vibratory roller

Abstract

The aim of this study is to propose an optimal design method for drum’s isolation systems of a double-drum vibrating roller so that the ride comfort can be improved. A half-vehicle ride dynamic model is established based on the drum-ground interactions. The weighted root mean square (rms) of acceleration responses of the vertical and pitch vibrations of the vehicle body (awb and awphi) according to the ISO 2631:1997(E) standard is chosen as objective functions. A genetic algorithm (GA) is applied for searching for the optimal design parameters of drum’s isolation systems based on the objective functions. The study results indicate that the awb and awphi values of GA optimal parameters reduce significantly in comparison with those of the original parameters of drum’s isolation systems, which means that the performance optimization of drum’s isolation systems is better than the original vehicle in improving the vehicle ride comfort.

Research on the Rolling Process of SMA-13 Asphalt Surface Layer for Bridge Decks Based on Compaction and Skid Resistance Equilibrium Problems

“…The vertical force of the roller overcomes the cohesion and shear stress between the particles of the hot mixture asphalt mixture and rearranges them to a relatively stable state. An in-depth study showed that compaction forming is the key to playing the role of lubricating the free asphalt in the mixture, which can effectively reduce the compaction work required to overcome the embedded interlocking forces between coarse aggregates [19]. During the rolling process, the aggregate particles within the mixture are spatially displaced and rotated until a new balance is achieved between the internal forces (interaggregate friction and asphalt cohesion) and external forces (mechanical rolling action) of the aggregate particles.…”

Improvement of Ride Comfort Quality for an Earth-Moving machinery with Semi-Active Cab Isolation System

“…Three different cab's isolation mounts were respectively surveyed and analyzed their effects on vehicle ride comfort based on a 3-D nonlinear dynamic model [14]. The optimal parameters of cab isolation system were found by the multi-objective genetic algorithm (MOGA) [15], a unique computer aided engineering (CAE) method [16,20], and the genetic algorithm (GA) [17,18]. A combined control method of Fuzzy and PID control was proposed to control the damping coefficient of semi-active cab isolation system of soil a single drum vibratory roller based on a non-linear vehicle dynamic model [19].…”

Optimal design parameters of air suspension systems for semi-trailer truck. Part 2: results and discussion

“…In order to improve the performance of the air suspension system for reducing the negative impact on the road surface, the control and optimization methods for air suspension systems are discussed in some of the following studies such as the control methods: the genetic LQG and PID control were used to control an air suspension system [1], the performance of the air suspension system of heavy trucks was analyzed with semi-active fuzzy control [2] and the two-bag air suspension system for heavy-duty vehicles was analyzed using the multi-body vehicle model [3], the optimization technique available in OptiY with SIMULINK simulation was used to search the optimal parameters of air spring of suspension system using vehicle dynamic model with 2 d.o.f [4], The air suspension system with independent height and stiffness tuning was analyzed and the geometric parameters of air spring were optimized [5], the glowworm swarm optimization proportional-integral-derivative controlling algorithm was designed to optimize magnetorheological damper for air suspensions [6], the vehicle suspension parameters of non-linear air spring was analyzed and optimized by using the multi-objective optimization method [7], and the optimization of suspension geometric parameters was analyzed and optimized using a double-loop multi-objective particle swarm optimization algorithm (DL-MOPSO) when the vehicle operates under various driving conditions [8]. The optimal parameters of the suspension systems as well as drum's isolation system were found out using genetic algorithm (GA) [9,10]. Based on the results of model and algorithm in Part 1, the rest of this paper of Part 2 is organized as follows: Optimization of suspension parameters and discussion are presented in Section 2.…”