☆ 3.8 Proceedings Paper

A monitoring platform for the built environment: towards the development of an early warning system in a seismic context

2023 IEEE INTERNATIONAL WORKSHOP ON METROLOGY FOR LIVING ENVIRONMENT, METROLIVENV (2023)

A comprehensive review on self-sensing graphene/cementitious composites: A pathway toward next-generation smart concrete

Wengui Li et al.

Summary: This review comprehensively discusses and analyzes the application of graphene-based nanomaterials in construction materials, including their properties, components, structures, and self-sensing performance. It also introduces the enhancement methods for 2D GBNs before mixing with cementitious materials, evaluates the characteristics of GBCCs at different scales, analyzes the macroscopic and durability performances, and assesses their potential application as advanced sensors. Finally, the challenges and perspectives of adopting 2D GBNs for smart and sustainable concrete structures are proposed.

CONSTRUCTION AND BUILDING MATERIALS (2022)

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Review Construction & Building Technology

Recycling waste materials to produce self-sensing concretes for smart and sustainable structures: A review

Gustavo Henrique Nalon et al.

Summary: The construction industry is facing the challenge of applying sustainable materials and developing smart concretes. This paper reviews previous studies on combining strategies of incorporating recycled and waste materials into smart construction materials with self-sensing properties. Promising sustainable self-sensing composites (SSCs) are identified based on their electrical resistivity, strain-sensing properties, and damage-detection properties.

CONSTRUCTION AND BUILDING MATERIALS (2022)

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Review Computer Science, Artificial Intelligence

Review of automated time series forecasting pipelines

Stefan Meisenbacher et al.

Summary: Time series forecasting is crucial for various domains. Automating the design process can handle the increasing demand for time series forecasts. Current research focuses on only a few parts of the five-section pipeline, and future studies need to consider the automation of the entire forecasting pipeline.

WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY (2022)

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Review Computer Science, Information Systems

Artificial Intelligence and Structural Health Monitoring of Bridges: A Review of the State-of-the-Art

Raffaele Zinno et al.

Summary: This article focuses on how artificial intelligence can be used to enhance data-driven structural health monitoring (SHM) systems for bridges in the age of the smart city, emphasizing the advantages, challenges, and existing approaches of AI in this field. The study suggests that AI will play a significant role in future bridge health monitoring systems.

IEEE ACCESS (2022)

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Article Construction & Building Technology

Performance of concretes manufactured with newly developed low-clinker cements exposed to water and chlorides: Characterization by means of electrical impedance measurements

G. Cosoli et al.

Summary: This study discusses the electrical impedance behavior of three different concrete mixes during accelerated degradation tests. Results indicate that the new low-clinker cements show improved measurement sensitivity towards contaminants compared to the commercial cement.

CONSTRUCTION AND BUILDING MATERIALS (2021)

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Review Chemistry, Multidisciplinary

Electrical Resistivity and Electrical Impedance Measurement in Mortar and Concrete Elements: A Systematic Review

Gloria Cosoli et al.

APPLIED SCIENCES-BASEL (2020)

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Proceedings Paper Computer Science, Artificial Intelligence

Time Series Data Prediction using IoT and Machine Learning Technique

Raghavendra Kumar et al.

INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND DATA SCIENCE (2020)

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A monitoring platform for the built environment: towards the development of an early warning system in a seismic context

相关参考文献

A comprehensive review on self-sensing graphene/cementitious composites: A pathway toward next-generation smart concrete

Recycling waste materials to produce self-sensing concretes for smart and sustainable structures: A review

Review of automated time series forecasting pipelines

Artificial Intelligence and Structural Health Monitoring of Bridges: A Review of the State-of-the-Art

Performance of concretes manufactured with newly developed low-clinker cements exposed to water and chlorides: Characterization by means of electrical impedance measurements

Electrical Resistivity and Electrical Impedance Measurement in Mortar and Concrete Elements: A Systematic Review

Time Series Data Prediction using IoT and Machine Learning Technique

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