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Buildings
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Green Building Materials and Intelligent Construction Technology
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Green Building Materials and Intelligent Construction Technology

A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Building Materials, and Repair & Renovation".

Deadline for manuscript submissions: closed (20 April 2024) | Viewed by 1979

Special Issue Editors

Dr. Jirong Lan

E-Mail Website
Guest Editor
Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hong Kong, China
Interests: high-value-added environmental functional materials; bulk solid waste; resource treatment
Dr. Yiqie Dong

E-Mail Website
Guest Editor
School of Civil Engineering and Architecture, Wuhan Polytechnic University, Wuhan, China
Interests: resource utilization of industrial solid waste; development and application of silica-aluminum based cementing materials
Dr. Yaguang Du

E-Mail Website
Guest Editor
College of Resources and Environmental Science, South Central Minzu University, Wuhan 430074, China
Interests: hazardous waste remediation; recycling of industrial solid wastes; solid waste characterization
Dr. Mingfeng Kai

E-Mail Website
Guest Editor
Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hong Kong, China
Interests: atomistic simulation; multiscale approach; cement and concrete; geopolymer; interface science
Dr. Xian Zhou

E-Mail
Guest Editor
Research Center of Water Engineering Safety and Disaster Prevention of Ministry of Water Resources, Changjiang River Scientific Research Institute, Wuhan, China
Interests: alkali-activated cementitious material; recycling of industrial solid wastes; supplementary cementitious material; solidification/stabilization of hazardous wastes

Special Issue Information

Dear Colleagues,

In the process of building construction, intelligent technology is applied to improve the level of intelligence, achieving the goal of fast, safe, and environmentally friendly construction. The core of intelligent construction lies in green building materials, reasonable structural design, advanced construction techniques, automated mechanical operations, and scientific management models. The research and popularization of intelligent construction technology can promote the sustainable development of the construction industry.

This Special Issue aims to present recent advances in intelligent building construction technology. It seeks to bring together researchers from various fields, including mechanical science, civil engineering, materials science, and engineering management, to contribute their expertise to the discussion of intelligent construction.

This Special Issue will cover a wide range of topics related to green building materials and intelligent construction as well as defects in building material development, building structural design, and the application of construction management models.

Contributions in the form of full papers, communications, and reviews are welcomed. The submitted manuscript should cover green building materials and intelligent construction. The goal of this Special Issue is to integrate the research results of intelligent construction technology and promote the popularization of green building materials and intelligent construction technology.

Dr. Jirong Lan
Dr. Yiqie Dong
Dr. Yaguang Du
Dr. Mingfeng Kai
Dr. Xian Zhou
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Buildings is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • intelligent construction
  • green building materials
  • structural design
  • management models
  • construction techniques

Published Papers (3 papers)

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Research

20 pages, 4920 KiB  
Article
Effect of Microwave Pretreatment on the Properties and Microstructure of Low-Concentration Carbon Dioxide Early Cured Cement-Based Materials
by Xiao Liang, Maosen Li, Lu Wang and Shuhua Liu
Buildings 2024, 14(4), 1074; https://doi.org/10.3390/buildings14041074 - 12 Apr 2024
Viewed by 281
Abstract
The utilization of microwave drying technology has expanded across various sectors due to its rapid processing speed, reduced operation time, lower sample temperatures, and consistent heating. In this research, microwave pretreatment was implemented prior to carbonation curing with low concentrations, and an array [...] Read more.
The utilization of microwave drying technology has expanded across various sectors due to its rapid processing speed, reduced operation time, lower sample temperatures, and consistent heating. In this research, microwave pretreatment was implemented prior to carbonation curing with low concentrations, and an array of tests including moisture content, compressive strength, carbonation depth, CO2 absorptivity, thermogravimetric analysis (TGA), X-ray diffraction (XRD), scanning electron microscopy (SEM), and mercury intrusion porosimetry (MIP) were utilized to investigate the effect of microwave pretreatment on the properties and microstructure of cementitious materials under early carbonation curing with low CO2 concentrations. The findings reveal that microwave pretreatment significantly decreases the moisture content within the test specimens, expediting the ingress of CO2 and improving the compressive strength of the specimens. At the same time, the effectiveness of microwave pretreatment in reducing moisture content diminishes as the pretreatment time increases. The absorption of CO2 is relatively rapid in the early stage of carbonation curing, with over 50% of the CO2 absorption occurring within the 0–6 h period of carbonation curing. The hydration products and microstructure of the uncarbonated part inside the specimens are generally consistent with the normal curing state. The formation of CaCO3 contributed to the densification of the specimen by infilling its internal voids, thereby enhancing its compressive strength. Although carbonation curing enlarges the average pore size of the samples, it also serves a filling function, making the samples more compact and reducing the porosity. Full article
(This article belongs to the Special Issue Green Building Materials and Intelligent Construction Technology)
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17 pages, 4111 KiB  
Article
Macroscopic Mechanical Properties and Microstructure Characteristics of Solid Waste Base Capillary Retarded Field Covering Material
by Yifan He, Haijun Lu, Jirong Lan, Jiayu Ma, Mengyi Liu and Yiqie Dong
Buildings 2024, 14(2), 313; https://doi.org/10.3390/buildings14020313 - 23 Jan 2024
Viewed by 524
Abstract
In the practical operation of traditional landfills, compaction clay often experiences cracking, while the HDPE geomembrane may tear and bulge, resulting in a compromised performance of the landfill covering system. To address this issue, a capillary retarding covering material for landfill sites is [...] Read more.
In the practical operation of traditional landfills, compaction clay often experiences cracking, while the HDPE geomembrane may tear and bulge, resulting in a compromised performance of the landfill covering system. To address this issue, a capillary retarding covering material for landfill sites is proposed by utilizing municipal sludge and construction waste particles as substrates and incorporating a small quantity of calcium bentonite. The mechanical characteristics of the covering material were investigated using a standard consolidation test and a triaxial compression test. A permeability test and a soil water characteristic curve (SWCC) test were conducted to examine the permeability and capillary retarding effect of the covering material. Microscopic tests including SEM scanning, laser particle size analysis, and T2 NMR analysis were performed to investigate the connection mode, particle size composition, and pore structure characteristics of the covered particles. Based on the aforementioned research, the following conclusions can be drawn: The cohesion of the covering material ranged from 50 to 150 kPa, while the internal friction angle ranged from 24.23° to 31°. The cohesion was directly proportional to the content of construction waste, whereas the internal friction angle was inversely proportional to calcium bentonite content. The permeability coefficient ranged from 5.04 × 10−6 cm/s to 7.34 × 10−5 cm/s, indicating a certain level of impermeability. Both the sludge and the calcium bentonite contents jointly influenced the final permeability coefficient in a negative correlation manner, with a notable hydraulic hysteresis phenomenon observed. A higher content of construction waste leads to a more pronounced supporting force exerted by the formed skeleton structures within a load pressure range between 0 and 1600 kPa. When considering a mass ratio of municipal sludge: construction waste: calcium bentonite as 30:60:7, respectively, only a decrease in the pore ratio by approximately 13.20% was observed. This study provides valuable data support for designing and applying capillary retarding cover barrier systems in landfills. Full article
(This article belongs to the Special Issue Green Building Materials and Intelligent Construction Technology)
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15 pages, 5078 KiB  
Article
Quantitative Analysis of Bolt Loosening Angle Based on Deep Learning
by Yi Qian, Chuyue Huang, Beilin Han, Fan Cheng, Shengqiang Qiu, Hongyang Deng, Xiang Duan, Hengbin Zheng, Zhiwei Liu and Jie Wu
Buildings 2024, 14(1), 163; https://doi.org/10.3390/buildings14010163 - 09 Jan 2024
Cited by 2 | Viewed by 741
Abstract
Bolted connections have become the most widely used connection method in steel structures. Over the long-term service of the bolts, loosening damage and other defects will inevitably occur due to various factors. To ensure the stability of bolted connections, an efficient and precise [...] Read more.
Bolted connections have become the most widely used connection method in steel structures. Over the long-term service of the bolts, loosening damage and other defects will inevitably occur due to various factors. To ensure the stability of bolted connections, an efficient and precise method for identifying loosened bolts in a given structure is proposed based on computer vision technology. The main idea of this method is to combine deep learning with image processing techniques to recognize and label the loosening angle from bolt connection images. A rectangular steel plate was taken as the test research object, and three grade 4.8 ordinary bolts were selected for study. The analysis was conducted under two conditions: manual loosening and simulated loosening. The results showed that the method proposed in this article could accurately locate the position of the bolts and identify the loosening angle, with an error value of about ±0.1°, which proves the accuracy and feasibility of this method, meeting the needs of structural health monitoring. Full article
(This article belongs to the Special Issue Green Building Materials and Intelligent Construction Technology)
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