Structural optimization of composite steel trussed-concrete beams

Deligia, Mariangela; Congiu, Eleonora; Marano, Giuseppe Carlo; Briseghella, Bruno; Fenu, Luigi

doi:10.1016/j.prostr.2021.10.068

Cited by 5 publications

(2 citation statements)

References 21 publications

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“…To reduce changeover time and increase production output, analytically predict the best product sequencing for off-site construction. (Deligia 2021) Hybrid GALP Algorithm (GA and LP)…”

Section: Intelligent Optimizationmentioning

confidence: 99%

A review of the current and future developments of artificial intelligence in the management and building sectors

Mishra,

Pareek,

Kumar

et al. 2024

Multidiscip. Rev.

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The integration of Artificial Intelligence (AI) into the management and building sector has witnessed significant advancements in recent years. Traditional methods can fall short in meeting these demands, prompting the exploration of AI solutions. This review aims to identify existing gaps, assess the efficacy of current AI applications and provide insights into potential areas for further development. A comprehensive literature review was conducted, encompassing peer-reviewed articles, industry reports and case studies. The analysis focused on AI applications such as machine learning, robotics and data analytics in the context of project management, resource optimization along with sustainable building practices. The review identifies key AI applications in project planning, risk management and construction processes, demonstrating their potential to streamline operations and improve decision-making. The analysis reveals successful implementations of AI-driven technologies, highlighting their impact on cost reduction, time efficiency and sustainability practices. Additionally, emerging trends such as generative design and smart buildings indicate promising directions for future development. The integration of Artificial Intelligence in the management and building sector demonstrates substantial benefits in efficiency, cost reduction and sustainability, while ongoing research as well as adaptation to emerging technologies is crucial for sustained progress.

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“…To reduce changeover time and increase production output, analytically predict the best product sequencing for off-site construction. (Deligia 2021) Hybrid GALP Algorithm (GA and LP)…”

Section: Intelligent Optimizationmentioning

confidence: 99%

A review of the current and future developments of artificial intelligence in the management and building sectors

Mishra,

Pareek,

Kumar

et al. 2024

Multidiscip. Rev.

View full text Add to dashboard Cite

show abstract

“…A great deal of the embodied impacts associated with civil and industrial buildings is due to the contributions of reinforced concrete and structural steel [65]. Different materials have been proposed to mitigate structures' footprint, and in particular, steel-trussed concrete was the proposed solution [66]. In fact, these beams employ less materials than the equivalent in reinforced concrete or steel, resulting in circa −20% GWP.…”

Section: Green Building Constructionmentioning

confidence: 99%

The Green Value Engineering Methodology: A Sustainability-Driven Project Management Tool for Capital Projects in Process Industry

Rosengart,

Granzotto,

Wierer

et al. 2023

Sustainability

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Process industry renovation is mostly driven by business objectives like productivity enhancement and cost reduction, which hinder the “shift towards a sustainable manufacturing” called by political and academic institutions. In this paper, the project management methodology of Value Engineering, used for cost reduction in large capital projects, is extended to improve not only economic figures, but also environmental sustainability indicators. The methods can guide project design to reduce the consumption of natural resources and the generation of waste, closing a gap between sustainability targets and production needs. Sustainability metrics derived from a simplified life cycle assessment approach are used to achieve quick but reliable estimates of the environmental impact reductions against a base scenario. The project governance is thus supported when assessing potential trade-offs between environmental and economic advantage, encouraging shared and de-risked decisions. Even though limited by the project boundaries of time and budget and by the simplified impact assessment approach, the method promotes a lean and incremental implementation of sustainable manufacturing practices, applicable also to routinary interventions. The methodology is illustrated through application examples from a real case study, an EUR 100 M chemical plant expansion project for a pharmaceutical company in Italy.

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Shear strength of steel-concrete composite “NPS® Basic” truss beams

Galik

Calvi

2023

Engineering Structures

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Structural optimization of composite steel trussed-concrete beams

Cited by 5 publications

References 21 publications

A review of the current and future developments of artificial intelligence in the management and building sectors

A review of the current and future developments of artificial intelligence in the management and building sectors

The Green Value Engineering Methodology: A Sustainability-Driven Project Management Tool for Capital Projects in Process Industry

Shear strength of steel-concrete composite “NPS® Basic” truss beams

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