Early Shrinkage Modeling of Complex Internally Confined Concrete Based on Capillary Tension Theory

Buildings, Journal Year: 2023, Volume and Issue: 13(9), P. 2201 - 2201

Published: Aug. 29, 2023

This paper evaluates the shrinkage performance of concrete under complex internal constraint environments comprising steel plates, studs, and reinforcement to investigate their respective influence laws on concrete. An early model constraints was established based theory capillary tension, effects plate, nails, were theoretically analyzed. Six sets concrete-constrained tests pore structure then performed different conditions with plate thickness, diameter, stud-related parameters (stud height, spacing) as research variables. The test results demonstrate that increases increase in coefficient, will cause a decrease stress, which is driving force shrinkage. Its inevitably lead By comparing calculated values measured values, it found average value prediction error less than 15%, reveals predicted are good agreement proves can effectively predict restrained by pins, reinforcing bars.

Language: Английский

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The Role of Artificial Intelligence Technology in Predictive Risk Assessment for Business Continuity: A Case Study of Greece

Risks, Journal Year: 2024, Volume and Issue: 12(2), P. 19 - 19

Published: Jan. 23, 2024

This study examined the efficacy of artificial intelligence (AI) technologies in predictive risk assessment and their contribution to ensuring business continuity. research aimed understand how different AI components, such as natural language processing (NLP), AI-powered data analytics, AI-driven maintenance, integration incident response planning, enhance support continuity an environment where businesses face a myriad risks, including disasters, cyberattacks, economic fluctuations. A cross-sectional design quantitative method were used collect for this from sample 360 technology specialists. The results show that have major impact on assessment. Notably, it was discovered NLP improved accuracy speed procedures. into plans particularly effective, greatly decreasing company interruptions improving recovery unforeseen events. It is advised invest skills, fields automated assessment, analytics prompt detection, maintenance operational effectiveness, AI-enhanced planning crisis management.

Language: Английский

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Unleashing the power of artificial intelligence for climate action in industrial markets

Industrial Marketing Management, Journal Year: 2024, Volume and Issue: 117, P. 92 - 113

Published: Jan. 2, 2024

Artificial Intelligence (AI) is a game-changing capability in industrial markets that can accelerate humanity's race against climate change. Positioned resource-hungry and pollution-intensive industry, this study explores AI-powered service innovation capabilities their overall effects. The develops validates an AI model, identifying three primary dimensions nine subdimensions. Based on dataset the fast fashion findings show significantly influence both environmental market performance, which performance acts as partial mediator. Specifically, results identify key elements of AI-informed framework for action how be used to develop range mitigation, adaptation resilience initiatives response

Language: Английский

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Human inventions and its environmental challenges, especially artificial intelligence: New challenges require new thinking

Environmental Challenges, Journal Year: 2024, Volume and Issue: 16, P. 100976 - 100976

Published: July 6, 2024

Artificial intelligence (AI) is an umbrella term for a wide range of machine systems that can replicate the behavior humans. AI and Big Data have emerged as defining characteristics fourth industrial revolution (IR). has developed tools. Because novelty, investigation IR, AI, their environmental effects still in early stages exploration. This study investigates how IR affect human health also discusses machine-human ideas, innovation, AI's benefits, further examines challenges these innovations, recommends additional studies to explain progress. As result, application technology management, particularly concerning pollution, become significant advancement reshaping our approach monitoring environment. Numerous countries are reaping substantial advantages by integrating creating, executing, assessing measures address degradation. These innovations yield societal contribute achieving Sustainable Development Goals (SDGs) 2030; unfortunately, it important acknowledge benefits may not align well with sustainability objectives, increasing number electronic gadgets presents concern. Conducting future research crucial investigate growing prevalence devices utilized its potential ramifications trajectory climate change, approaches being taken issue. Future should prioritize conducting lifecycle impact analyses, developing sustainable hardware, optimizing renewable energy usage, advancing modeling techniques, finding effective solutions managing e-waste, utilizing protection, socio-environmental studies, policies regulations, creating energy-efficient algorithms, circular economy principles ensure advancements sustainability.

Language: Английский

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From public policy towards the green energy transition: Do economic freedom, economic globalization, environmental policy stringency, and material productivity matter?

Energy, Journal Year: 2024, Volume and Issue: 311, P. 133404 - 133404

Published: Oct. 10, 2024

Language: Английский

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