Review Article
Artificial Intelligence on Civil and Environmental Processes for Sustainable Urban System
Rukaiya Ferdous
,
Mahmud Hasan*
Issue:
Volume 10, Issue 5, October 2025
Pages:
175-181
Received:
4 June 2025
Accepted:
14 August 2025
Published:
8 September 2025
Abstract: Urban areas are very fragile for sustainable development. In this regard, this review article aims to examine how artificial intelligence (AI) can be integrated with the skills of civil and environmental engineers to make the process more efficient for smart urbanization for future generations. Prior to sustainable urban planning, several requirements must be met, including adequate political will, institutional capacity, pertinent laws or regulations, accurate and up-to-date maps, basic data and information availability, mechanisms for civil society and public participation, creative ways to increase the visibility and voice of women and youth, clearly defined roles of public and private sectors, and plans tailored to local conditions. Without AI, civil and environmental engineers who construct and implement urban planning are unable to provide a clear future vision. AI can reduce traffic jams and lower emissions, enhance safety and reduce human errors, prevent failures and extend infrastructure’s lifespan, improve efficiency and reliability of services, ensure public health and safety, increase efficiency and reduce environmental impact by increasing recycling rates, and reduce landfill of water reservoirs for sustainable urban systems. AI also has the capacity to completely transform urban administration for energy-efficient building design and intelligent material selection, promoting creative, long-term answers to urban problems.
Abstract: Urban areas are very fragile for sustainable development. In this regard, this review article aims to examine how artificial intelligence (AI) can be integrated with the skills of civil and environmental engineers to make the process more efficient for smart urbanization for future generations. Prior to sustainable urban planning, several requireme...
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Research Article
Experimental Investigation of the Thermal Resistance of Metal Dust Concrete Block
Issue:
Volume 10, Issue 5, October 2025
Pages:
182-190
Received:
30 August 2025
Accepted:
10 September 2025
Published:
14 October 2025
DOI:
10.11648/j.jccee.20251005.12
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Abstract: This paper discusses the thermal resistance of metal dust concrete block. The thermal insulation capacity of the block, coefficient of thermal expansion as well as mass loss of the blocks due to heating of the block were experimentally investigated. The effects of elevated temperature on the compressive strength of the block were discussed and compared with the unheated metal dust concrete block and conventional concrete blocks. The optimum compressive strength of the unheated metal dust block was 18.20N/mm2 and its corresponding heated specimen was 17.5N/mm2, at a temperature of 200°C. The compressive strength of the controlled specimen was 16.5N/mm2 and at a temperature of 200°C, the compressive strength was 15.3N/mm2. The coefficient of thermal expansion for the metal dust block with the optimum compressive strength was 14.12×10-6 as against 10.51×10-6 for the conventional block. The thermal insulation performance of the blocks was assessed by measuring the temperature rise on the unexposed side during a fire resistance test. The results suggest that metal dust increases the compressive strength of the block at a considerable replacement level, but when exposed elevated temperature of about 600°C, the block thermal properties deteriorated due to melting of the dust, evaporation of bound and free water in the block and other factors.
Abstract: This paper discusses the thermal resistance of metal dust concrete block. The thermal insulation capacity of the block, coefficient of thermal expansion as well as mass loss of the blocks due to heating of the block were experimentally investigated. The effects of elevated temperature on the compressive strength of the block were discussed and comp...
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