The pioneer of intelligent construction—An overview of the development of intelligent compaction

Guanghui Xu, George K. Chang, Dongsheng Wang, António G. Correia, Soheil Nazarian
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引用次数: 2

Abstract

As the pioneer in the intelligent construction technologies (ICT) of transportation infrastructure, intelligent compaction (IC) has been applied in the infrastructure construction of various countries. It is currently the technology that best reflects the intelligence of engineering construction. This article overviews the latest developments and trends in IC. Firstly, the basic meaning of ICT is defined based on the essential characteristics of intelligent construction of transportation infrastructure, “perception, analysis, decision-making, execution” (PADE). The concept of intelligent compaction technology classification is also introduced. The PADE requirements that intelligent compaction should meet are proposed. Secondly, according to the sequence of “perception, analysis, decision-making, execution,” the workflow and key technologies of intelligent compaction are analyzed, and the mechanism of using the response of the roller to solve the modulus is given and verified. On this basis, The IC feasibility test methods, including compaction degree, compaction stability, and compaction uniformity, are briefly described. The implementation scheme of feedback control is given. Then, the use of artificial neural networks (ANN), hybrid expert systems, and reinforcement learning in intelligent compaction are briefly introduced. Finally, several extended applications of intelligent compaction are expounded, including the development ideas of intelligent road rollers and the role of intelligent compaction in virtual construction, the layer-specific mechanical parameters of fillers, etc.

智能建筑的先行者——智能压实发展综述
作为交通基础设施智能施工技术(ICT)的先驱,智能压实技术(IC)已在各国基础设施建设中得到应用。是目前最能体现工程建设智能化的技术。本文概述了信息通信技术的最新发展和趋势。首先,根据交通基础设施智能建设的基本特征“感知、分析、决策、执行”(PADE),定义了信息通信技术的基本含义。介绍了智能压实技术分类的概念。提出了智能压实应满足的PADE要求。其次,按照“感知-分析-决策-执行”的顺序,分析了智能压实的工作流程和关键技术,给出并验证了利用压路机响应求解模量的机理。在此基础上,简要介绍了IC可行性测试方法,包括压实度、压实稳定性和压实均匀性。给出了反馈控制的实现方案。然后,简要介绍了人工神经网络、混合专家系统和强化学习在智能压缩中的应用。最后,阐述了智能压实的几种扩展应用,包括智能压路机的发展思路和智能压实在虚拟施工中的作用、填料的分层力学参数等。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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