科普文章

MST特刊征稿|自感知混凝土赋能的数字化基础设施的智能监测

23 2月 2024 gabriels

特刊详情

客座编辑

韩宝国，大连理工大学
丁思齐，香港理工大学
Xun Yu，美国纽约理工学院
Filippo Ubertini，意大利佩鲁贾大学

主题范围

During their service, infrastructures age and slowly deteriorate. This degradation starts at the material level. Measuring this change in material performance at an early stage is important to perform adequate repairs before major structural damage occurs. Therefore, to self-sensing material performance is essential for updating infrastructures with smart measurement function. Concrete is the most widely used material for constructing infrastructures. By the incorporation of electrically conductive fillers, concrete can sense the strain/stress/damage in itself while maintaining/improving its mechanical properties and durability. In comparison with conventional measurement technology with such drawbacks as poor durability, low sensitivity, and less survival rate, self-sensing concrete has an identical lifespan with infrastructures due to its concrete feature. Therefore, using self-sensing concrete allows the condition measurement and assessment of infrastructures throughout their service life, thus enhancing the safety and resilience as well as extending the lifespans of infrastructures.

This Focus Issue aims at presenting recent advances across the breadth of self-sensing concrete for smart digital infrastructures as well as reviewing developments in this field and offering deployment for what the next decades may require or deliver, thus providing a platform for researchers to focus on delivering current achievements.

Potential topics include but are not limited to:

Innovative design and construction technologies of self-sensing concrete;
Novel signal characterization, transmission, measurement, and processing method, instrumentation, platform and system of self-sensing concrete;
Sensing performances of self-sensing concrete under multiphysics;
Long-term performance of self-sensing concrete under complex serving environments;
Conductive and sensing mechanisms and models of self-sensing concrete;
Smart structural elements/structures fabricated with self-sensing concrete;
Integration of advanced technologies (e.g., nanotechnology, biotechnology, bionic technology, digital twin technology, metamaterials, artificial intelligence technology, material genomics, 3D printing/digital manufacturing) with self-sensing concrete;
Advanced applications and scale-up implementation strategies of self-sensing concrete.

投稿流程

特刊文章与MST期刊常规文章遵循相同的审稿流程和内容标准，并采用同样的投稿模式。

有关准备文章及投稿的详细信息，可以参阅IOPscience页面的作者指南。

作者可登入期刊主页进行在线投稿，先选择“文章类型”，然后在“选择特刊”的下拉框中选择“Empowering Smart Measurement of Digital Infrastructures with Self-Sensing Concrete”。

投稿截止日期：2024年8月31日。

期刊介绍

Measurement Science and Technology

2022年影响因子：2.4 Citescore：3.9
Measurement Science and Technology(MST)涵盖整个测量科学和传感器技术的理论、实践和应用，包括：精密测量和计量学；传感器和传感器系统；光学和激光技术；流体；成像；光谱学；材料和材料加工；生物、医学和生命科学；环境和大气；新型仪器系统和组件。MST还出版专题综述和特刊。