# Research on Non-Random Vibration Analysis of Concrete Pump Truck Boom Based on Dynamic Excitation
## 6 Conclusions  
This study proposes a research method utilizing non-random vibration analysis to address the vibration issues of concrete pump truck booms in construction environments, examining the influence of fluid concrete forces within the conveying pipeline on the boom's vibration characteristics during the pumping process. The force within the conveying pipeline significantly influences the dynamic reaction of the boom, hence directly affecting the precision of pouring. This paper employs an interval process model to quantitatively analyze the uncertain dynamic excitation and integrates the Monte Carlo simulation method to ascertain the upper and lower bounds of the system response, thereby providing essential data support for the vibration response analysis of the boom system. The findings indicate that the response interval of the boom's end displacement is around [\(-\)1 m, 1 m] when pipeline force is accounted for, suggesting that vibration amplitude and response precision significantly affect construction accuracy. The suggested non-random vibration analysis method demonstrates strong adaptability under uncertain conditions, establishing a robust theoretical foundation for the analysis of vibration characteristics and the optimization of construction accuracy for the pumping truck boom, while also offering a significant reference for the design and control strategies of future engineering machinery. Future research will further investigate the nonlinear dynamic excitation scenario, integrated with intelligent algorithms to provide real-time monitoring and the predictive reaction of the construction process, thereby enhancing construction precision and operational efficiency.  
This study possesses certain limitations. This research uses interval process modeling and Monte Carlo simulation techniques to analyze the system's dynamic response; nevertheless, these methods may exhibit limitations in computational accuracy when addressing uncertainties in harsh working conditions. Consequently, the introduction of more efficient numerical optimization algorithms is deemed necessary to enhance the computational accuracy and efficiency of the model when addressing extreme uncertainty excitations, thereby facilitating a more comprehensive evaluation of the dynamic response of the pump truck boom under complex operational conditions.  
Methodology, B.L. and W.X.; software, W.Z.; validation, W.Z.; investigation, W.Z.; resources, W.Z. and Y.X.; data curation, X.L., H.Z. and B.X.; writing--review and editing, W.Z.; funding acquisition, B.L. All authors have read and agreed to the published version of the manuscript.  
This research was funded by the Central Government-Guided Local Science and Technology Development Fund Program (2023 PRJ0101), Guangxi Science and Technology Project (AD22080042).  
Not applicable.  
The data are contained within the article.  
The authors declare no conflicts of interest.  
\begin{table}
\begin{tabular}{c c c} \hline \hline
**Boom Rods** & **Angular Offset** & **Boom End Offset** \\ \hline
1 & [0, 0] & [0, 0] \\
2 & [\(-\)0.07, 0.07] & [\(-\)0.002, 0.002] \\
3 & [\(-\)2.07, 2.07] & [\(-\)0.33, 0.33] \\
4 & [\(-\)1.72, 1.72] & [\(-\)0.27, 0.27] \\
5 & [\(-\)1.62, 1.62] & [\(-\)0.32, 0.32] \\
6 & [\(-\)1.01, 1.01] & [\(-\)0.13, 0.13] \\
7 & [\(-\)0.12, 0.12] & [\(-\)0.001, 0.001] \\ \hline \hline \end{tabular}
\end{table}
Table 8: The amount of offset distance at the joint.