Compaction Quality Nondestructive Testing and Intelligent Control Technology for Infrastructure

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Geliefert zwischen Do., 09.04.2026 und Fr., 10.04.2026

Details

This book focuses on the key quality control and quality acceptance links in modern infrastructure construction. It deeply analyzes the latest technologies and methods of non-destructive testing and intelligent control technology of compaction quality. It not only covers the optimization and upgrading of traditional testing methods, but also focuses on the intelligent detection and control system based on cutting-edge technologies such as the Internet of Things, big data, artificial intelligence, intelligent control, information and communication technology, robots, and edge computing, which realizes real-time monitoring and precise control of the compaction process. At the same time, this book also innovatively proposes an autonomous decision-making model, which significantly improves the efficiency and quality of compaction operations through a closed-loop control system formed by perception-decision-control.

This book is rich in content and clear in structure. It is suitable as a reference both for practitioners and graduate students engaged in infrastructure construction, quality inspection and intelligent control technology, civil and transportation engineering. Readers gain comprehensive knowledge and latest industrial trend on compaction quality inspection and intelligent control technology.


Provides technical paths and case analysis of various non-destructive testing methods for measuring compaction quality Uses actual engineering cases to strengthen the compaction quality assessment and basic principles Explains how to achieve multi-parameter intelligent control and real-time feedback during the compaction process

Autorentext

Dr. Qinglong Zhang received his doctorate in hydraulic engineering from Tsinghua University in 2018. From August 2020 to June 2023, Dr. Zhang served as a lecturer at the School of Civil and Resource Engineering, University of Science and Technology Beijing; from July 2023 to present, he has served as an associate professor at the School of Future Cities. Dr. Zhang's main research direction is the theory and technology of intelligent construction of infrastructure. His recent research directions include: intelligent geotechnical engineering, intelligent construction and intelligent operation and maintenance, building automation and robotics technology, urban safety, etc.

Since 2013, Dr. Zhang has published more than 50 peer-reviewed papers in international journals and conferences. He is an expert in the China Construction Enterprise Management Association and a review expert of the National Natural Science Foundation of China. He serves as a young editor and reviewer for many high-level journals and won the 8th China Association for Science and Technology Excellent Science and Technology Paper. Dr. Zhang has also won provincial and ministerial first prizes in science and technology for many times, which reflect the achievements of his research results in engineering practice.


Inhalt

Introduction.- Roller-integrated Compaction Monitoring Technology Based on Maximum Positive Kinetic Energy Increment.- Roller-integrated Compaction Monitoring Technology Based on Positive Maximum Velocity.- Non Contact-Type Roller-Integrated Acoustic Wave Detection Technique.- Contact-Type Roller-Integrated Acoustic Wave Detection Technology.- Compaction Quality Interpolation Assessment Methods and Models.- Compaction Quality Intelligent Assessment Methods and Models.- Compaction Quality Intelligent Control Technology.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09789819512638
    • Lesemotiv Verstehen
    • Genre Earth Science
    • Anzahl Seiten 295
    • Herausgeber Springer-Verlag GmbH
    • Gewicht 635g
    • Größe H18mm x B155mm x T235mm
    • Jahr 2026
    • EAN 9789819512638
    • Format Fester Einband
    • ISBN 978-981-9512-63-8
    • Titel Compaction Quality Nondestructive Testing and Intelligent Control Technology for Infrastructure
    • Autor Qinglong Zhang
    • Sprache Englisch

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