Applications of Artificial Intelligence and Life Cycle Assessments in Construction Industry

A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Construction Management, and Computers & Digitization".

Deadline for manuscript submissions: 20 October 2026 | Viewed by 916

Special Issue Editors


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Guest Editor
Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, China
Interests: self-compacting concrete (SCC); rock-filled concrete (RFC); smart manufacture; testing technology of concrete; life-span performance evaluation of concrete structures

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Guest Editor
Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, China
Interests: intelligent cooling control; green construction of large dams; overall stability assessment of dam foundations; high-slope andunderground excavation; cracking and failure behavior of brittle media; cracking mechanism and cracking control of high-arch dams

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Guest Editor
College of River and Ocean Engineering, Chongqing Jiaotong University, Chongqing 400074, China
Interests: computational methods; multi-scale modeling; intelligent construction technology; intelligent sensing technology

Special Issue Information

Dear Colleagues,

The integration of artificial intelligence (AI) and life cycle assessment (LCA) technologies offers substantial opportunities for enhancing both efficiency and sustainability in the construction industry. By harmonizing these innovative methodologies with established construction techniques, significant improvements in quality and efficiency can be achieved throughout the entire life cycle of building projects. This Special Issue is dedicated to showcasing cutting-edge research and practical implementations that underscore the efficacy of AI and LCA in advancing environmental and operational outcomes within the construction sector.

We invite original contributions that detail new research findings, case studies, applications, or provide comprehensive reviews on the following and related topics:

  • AI applications in construction material design and preparation;
  • AI applications in the construction process;
  • AI applications in engineering operations and maintenance;
  • Method for integrating AI with the structural performance analysis;
  • Models and algorithms for life cycle assessments;
  • Models and algorithms for innovative structures and materials;
  • Intelligent equipment in engineering.

We look forward to your submissions.

Prof. Dr. Xuehui An
Prof. Dr. Peng Lin
Prof. Dr. Chengzhi Wang
Guest Editors

Manuscript Submission Information

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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 semimonthly 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

  • artificial intelligence
  • life cycle assessment
  • intelligent construction
  • analytical models
  • intelligent operations and maintenance
  • intelligent equipment
  • object detection

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Published Papers (1 paper)

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Research

17 pages, 5224 KB  
Article
Research on the Strengthening Mechanism of Flawed Excavated-Mass Aggregate and Concrete Properties Considering the Infiltration Path and Crystallization Process
by Mengliang Li, Miao Lv, Hao Bai, Zhaolun Ran and Xinxin Li
Buildings 2026, 16(2), 255; https://doi.org/10.3390/buildings16020255 - 7 Jan 2026
Viewed by 353
Abstract
The use of flawed excavated-mass aggregates produced from crushing and screening hydraulic engineering waste in concrete projects can reduce natural resource extraction, increase waste utilization rates, and minimize environmental pollution. However, the direct application of flawed excavated-mass aggregates is limited due to their [...] Read more.
The use of flawed excavated-mass aggregates produced from crushing and screening hydraulic engineering waste in concrete projects can reduce natural resource extraction, increase waste utilization rates, and minimize environmental pollution. However, the direct application of flawed excavated-mass aggregates is limited due to their high crushing index and water absorption rate. Therefore, this paper measures the multi-dimensional physical and mechanical properties of defective aggregates. A strengthening slurry is prepared by comprehensively modifying the crystallization strength and penetration path of sodium silicate solution using various chemical reagents. The strengthening mechanism of the slurry on flawed excavated-mass aggregates is analyzed using SEM and MIP tests. Concrete tests are designed to investigate the workability and mechanical properties of flawed excavated-mass aggregate concrete. The pore structure of the ITZ (Interfacial Transition Zone) in defective aggregate concrete is analyzed through BSE (Backscattered Electron) imaging to elucidate the strengthening mechanism of secondary crystallization reactions on the ITZ. The research findings can provide technical support for repairing aggregates with defects. Full article
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