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Journal articles on the topic 'Artificial Intelligence in Civil Engineering'

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1

Lu, Pengzhen, Shengyong Chen, and Yujun Zheng. "Artificial Intelligence in Civil Engineering." Mathematical Problems in Engineering 2012 (2012): 1–22. http://dx.doi.org/10.1155/2012/145974.

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Artificial intelligence is a branch of computer science, involved in the research, design, and application of intelligent computer. Traditional methods for modeling and optimizing complex structure systems require huge amounts of computing resources, and artificial-intelligence-based solutions can often provide valuable alternatives for efficiently solving problems in the civil engineering. This paper summarizes recently developed methods and theories in the developing direction for applications of artificial intelligence in civil engineering, including evolutionary computation, neural network
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Dede, Tayfun, Murat Kankal, Ali Reza Vosoughi, Maksym Grzywiński, and Moacir Kripka. "Artificial Intelligence Applications in Civil Engineering." Advances in Civil Engineering 2019 (May 2, 2019): 1–3. http://dx.doi.org/10.1155/2019/8384523.

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Shaktisinh, D. Gohil. "Artificial Intelligence: Transforming Civil Engineering Applications." Journal of Building Construction 7, no. 2 (2025): 9–24. https://doi.org/10.5281/zenodo.14986239.

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<em>Artificial Intelligence (AI) is a subfield of computer science focused on the study, creation, and application of intelligent systems. While solving complex problems often requires immense computational power, AI technologies provide a more efficient alternative. This includes the development and implementation of AI in civil engineering, offering insights into recent innovations and advancements in the field. With the rapid progress in big data, deep learning, and machine learning technologies, AI is being increasingly applied across various sectors of civil engineering.</em> <em>&nbsp;</
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Du, Ping, and Weijian Che. "Research on Discipline Construction of Civil Engineering Based on Artificial Intelligence." Advances in Engineering Technology Research 6, no. 1 (2023): 254. http://dx.doi.org/10.56028/aetr.6.1.254.2023.

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Artificial intelligence is gradually changing the development direction of civil engineering, and the traditional civil engineering specialty needs to be transformed. This paper discusses the application of artificial intelligence technology in the field of civil engineering, and analyzes the opportunities and challenges brought by the combination of artificial intelligence and civil engineering. A feasible scheme for the integration of artificial intelligence and civil engineering disciplines is proposed to help civil engineering majors better adapt to market demand and technological developm
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Lagaros, Nikos D., and Vagelis Plevris. "Artificial Intelligence (AI) Applied in Civil Engineering." Applied Sciences 12, no. 15 (2022): 7595. http://dx.doi.org/10.3390/app12157595.

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More, Pratik. "Application of Artificial Intelligence in Civil Engineering." International Journal for Research in Applied Science and Engineering Technology 13, no. 4 (2025): 5170–72. https://doi.org/10.22214/ijraset.2025.69458.

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This study explores the application of Artificial Intelligence (AI) in movable dividers in civil engineering. By integrating AI with movable dividers, we can create smart, adaptable spaces that optimize space usage, acoustic performance, and energy efficiency. AI-powered movable dividers can automatically adjust to changing environmental conditions, predict maintenance needs, and provide insights on space usage and occupant behavior. This technology has the potential to revolutionize the design and operation of buildings, events, and exhibitions, enabling more efficient, safe, and flexible use
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Srushti, Chute Priyanka Soni Megha Salve. "Uses of Artificial Intelligence in Civil Engineering." International Journal of Advanced Innovative Technology in Engineering 10, no. 2 (2025): 45–51. https://doi.org/10.5281/zenodo.15387634.

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Artificial Intelligence (AI), a branch of computer science, focuses on the development and application of intelligent systems. Solving complex problems typically demands substantial computational power, but AI-driven technologies offer a more efficient alternative. This paper explores recent advancements in AI concepts and methodologies within civil engineering, highlighting the field&rsquo;s rapid progress. With significant developments in big data, deep learning, and machine learning, AI has been effectively integrated into various domains of civil engineering. Key areas of AI research in th
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Xie, Chengbo. "Research on the application of artificial intelligence in civil engineering monitoring." Advances in Engineering Technology Research 5, no. 1 (2023): 508. http://dx.doi.org/10.56028/aetr.5.1.508.2023.

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As the core basis of industrial reform in the new era, artificial intelligence can improve the development level of informatization, automation and intelligence in the field of civil engineering, and lay the foundation for the creation of a technical system with the value of The Times. In recent years, integrated research on the integration development trend between artificial intelligence and civil engineering, clear the basic research field of artificial intelligence, use visual tools to excavate the main problems and development bottlenecks of artificial intelligence in the field of civil e
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张, 德洋. "Innovative Application of Artificial Intelligence in Civil Engineering." Hans Journal of Civil Engineering 13, no. 08 (2024): 1444–53. http://dx.doi.org/10.12677/hjce.2024.138156.

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Xie, Ming, Fanbing Meng, Jingya Zou, Wei Feng, and Shaohua Ma. "Application of Artificial Intelligence in Civil Engineering Education." Journal of Physics: Conference Series 1575 (June 2020): 012225. http://dx.doi.org/10.1088/1742-6596/1575/1/012225.

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Xu, Yang, Wenliang Qian, Na Li, and Hui Li. "Typical advances of artificial intelligence in civil engineering." Advances in Structural Engineering 25, no. 16 (2022): 3405–24. http://dx.doi.org/10.1177/13694332221127340.

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Artificial intelligence (AI) provides advanced mathematical frameworks and algorithms for further innovation and vitality of classical civil engineering (CE). Plenty of complex, time-consuming, and laborious workloads of design, construction, and inspection can be enhanced and upgraded by emerging AI techniques. In addition, many unsolved issues and unknown laws in the field of CE can be addressed and discovered by physical machine learning via merging the data paradigm with physical laws. Intelligent science and technology in CE profoundly promote the current level of informatization, digital
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Kumar, Mayank. "Application of Artificial Intelligence in Civil Engineering Projects." Mathematical Statistician and Engineering Applications 70, no. 1 (2021): 660–67. http://dx.doi.org/10.17762/msea.v70i1.2521.

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The application of artificial intelligence (AI) in civil engineering projects has gained significant attention in recent years. AI techniques have the potential to revolutionize various aspects of civil engineering, including design, construction, maintenance, and management of infrastructure. This abstract provides an overview of the diverse applications of AI in civil engineering projects, highlighting the benefits, challenges, and future prospects of integrating AI technologies into the industry.One prominent application of AI in civil engineering is in the field of structural design and an
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MD, AKIBUL HASAN, and Tayyab Raza Muhammad. "The Impact of Artificial Intelligence on Civil Engineering Project Management." International Journal of Novel Research in Engineering and Science 11, no. 1 (2024): 87–99. https://doi.org/10.5281/zenodo.13220223.

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<strong>Abstract:</strong> It explores the revolutionary impact of artificial intelligence (AI) on the management of civil engineering projects, with an emphasis on how AI boosts productivity, lowers expenses, and strengthens risk control. The study covers the following important topics: the use of AI tools in automation and predictive analytics, the advantages of these technologies, and the difficulties in integrating them. Through the completion of a complete literature review, case study analysis, and industry professional survey, this research offers an in-depth assessment of artificial in
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Lagaros, Nikos D. "Artificial Neural Networks Applied in Civil Engineering." Applied Sciences 13, no. 2 (2023): 1131. http://dx.doi.org/10.3390/app13021131.

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In recent years, artificial neural networks (ANN) and artificial intelligence (AI), in general, have garnered significant attention with respect to their applications in several scientific fields, varying from big data management to medical diagnosis [...]
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Huang, Youqin, Jiayong Li, and Jiyang Fu. "Review on Application of Artificial Intelligence in Civil Engineering." Computer Modeling in Engineering & Sciences 121, no. 3 (2019): 845–75. http://dx.doi.org/10.32604/cmes.2019.07653.

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WANG, Ziyu. "Application of Artificial Intelligence Method in Civil Engineering Monitoring." Theory and Practice of Science and Technology Science and Technology" 1, no. 7 (2020): 24–27. http://dx.doi.org/10.47297/taposatwsp2633-456906.20200107.

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Cunha, Laís Brilhante da, Marco Aurélio Chaves Ferro, Mayra Soares Pereira Lima Perlingeiro, and Luiz Antônio Vieira Carneiro. "Artificial Intelligence Applied to Civil Engineering: A Multidisciplinary Approach." Revista de Gestão Social e Ambiental 18, no. 10 (2024): e08666. http://dx.doi.org/10.24857/rgsa.v18n10-097.

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Objective: Present the main applications of Artificial Intelligence (AI) in Civil Engineering, covering all phases of building a Smart Home, from conception to disposal. Theoretical Framework: Based on the multidisciplinary nature of artificial intelligence in Civil Engineering and the various methodologies and techniques to apply it, based on data collection and processing of the information obtained, a Smart Home is proposed that is planned from its conception to its disposal or demolition, covering the entire life cycle of the project. To manage the subsystems, a more extensive System calle
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Shruthi.K.V. "Artificial Intelligence Applications in Civil Engineering Design and Optimization." International Journal of Computer Science (IIJCS) 6, no. 8 (2018): 82–89. https://doi.org/10.5281/zenodo.14881508.

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Artificial intelligence (AI) is revolutionizing civil engineering by transforming various aspects of the field. &nbsp;Leveraging intelligent machines and advanced algorithms, AI is impacting everything from structural health monitoring and design optimization to construction automation and sustainability assessment. &nbsp;AI-powered systems analyze massive datasets to predict potential failures, optimize designs, and boost construction efficiency. &nbsp;Furthermore, AI aids in assessing the environmental impact of projects and identifying sustainable solutions. &nbsp;For instance, AI-driven se
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Taterao, Kendre Sainath, Mane Akanksha Anant, Mandhare Ganesh Sanjay, Jadhav Tejas Naresh, Achalere Baburao Shivanand, and Prof Geetanjali S. Yadav. "Construction of Green Buildings by using AI in the Civil Engineering Field." International Journal for Research in Applied Science and Engineering Technology 11, no. 12 (2023): 1912–18. http://dx.doi.org/10.22214/ijraset.2023.57735.

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Abstract: A branch of computer wisdom called Artificial intelligence (AI) deals with the study, creation, and use of intelligent machines. This includes the description of recently developed ideas and styles for the development and perpetuation of AI in civil engineering and also gives an overview of the field’s advancement. With the tremendous development and advancement in big data, deep literacy, and machine literacy technologies, it has been used effectively and successfully in colorful sectors of civil engineering. The important areas of artificial intelligence exploration in civil engine
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Nagham, Mumtaz. "Advantages of Artificial Intelligence in Engineering Fields." Engineering and Technology Journal 10, no. 01 (2025): 3566–72. https://doi.org/10.5281/zenodo.14637840.

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In this research, we will discuss artificial intelligence definition and its role in various fields of engineering and the advantage use in architecture engineering , civil engineering, chemical engineering, electrical engineering etc. In this paper, we present a comprehensive analysis of the impact of using artificial intelligence in engineering and transforming traditional work that requires great physical effort and a certain time into work characterized by accuracy, speed, and appropriate mental effort, in addition to innovation and continuous development in the paths of theoretical and pr
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Khan, Dr Safiullah. "The Application of Artificial Intelligence and Machine Learningin Civil Engineering." Doupe Journal of Top Trending Technologies 01, no. 01 (2025): 20–30. https://doi.org/10.71063/djttt.2025.1103.

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The utilization of automated technologies like Artificial Intelligence and Ma-chine Learning in civil engineering has led to new innovative ways of responding to complexchallenges. This dissertation investigates the various applications of AIs and MLs that areendorsed in civil engineering, namely structural health supervision, predictive upkeep, con-struction surveillance, and infrastructure optimization. Utilization of acquaintance spawnedby data-driven algorithms aids the civil infrastructure in taking the edge of AI and ML toolsand technologies to strongly strengthen the decision-making fun
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Wenhao, Ren. "Prediction and optimization of civil engineering material properties based on artificial intelligence." Applied and Computational Engineering 51, no. 1 (2024): 298–312. http://dx.doi.org/10.54254/2755-2721/51/20241616.

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In the modern research field of predicting and optimizing the performance of civil engineering materials, the incorporation of artificial intelligence (AI) has provided a new perspective. The research is based on a thorough examination of the central role of AI technology and the application of different mathematical models in the task of material performance prediction and optimization, summarizing the current state of AI technology application in the field of civil engineering material performance prediction. Against this backdrop, the research further proposes a brand-new AI-based civil eng
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Liu, Qingyang. "Application and research of artificial intelligence in civil engineering intelligent construction." Theoretical and Natural Science 26, no. 1 (2023): 30–36. http://dx.doi.org/10.54254/2753-8818/26/20241005.

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When artificial intelligence (AI) begins to intervene, the production and lifestyles of various industries have also undergone great changes. The civil engineering construction industry has taken this opportunity to carry out the industry transformation, from traditional civil engineering construction to the intelligent construction of civil engineering with the participation of AI. Through the dynamic tracking and data analysis of construction sites and buildings through AI, the life safety of construction workers can be ensured by improving efficiency and ensuring quality. This paper analyze
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Demertzis, Konstantinos, Stavros Demertzis, and Lazaros Iliadis. "A Selective Survey Review of Computational Intelligence Applications in the Primary Subdomains of Civil Engineering Specializations." Applied Sciences 13, no. 6 (2023): 3380. http://dx.doi.org/10.3390/app13063380.

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Artificial intelligence is the branch of computer science that attempts to model cognitive processes such as learning, adaptability and perception to generate intelligent behavior capable of solving complex problems with environmental adaptation and deductive reasoning. Applied research of cutting-edge technologies, primarily computational intelligence, including machine/deep learning and fuzzy computing, can add value to modern science and, more generally, to entrepreneurship and the economy. Regarding the science of civil engineering and, more generally, the construction industry, which is o
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Vasilevskaya, Liudmila Yurievna. "“Artificial Intelligence”: Problems of Civil Law Qualification." Legal Issues in the Digital Age 4, no. 3 (2023): 23–39. http://dx.doi.org/10.17323/2713-2749.2023.3.23.39.

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Based on the civil law research methodology, the paper provides an insight into theconcept of “artificial intelligence”, its legal nature and peculiarities of transactions.The subject of research is the underlying doctrine, legal provisions on “artificialintelligence” and their enforcement practices. The research purports to lay atheoretical groundwork for the concept of “artificial intelligence” as a complex thingat law whose structure may comprise a variety of intellectual assets. The applicablecivil law regime — specifics of formalization of the underlying relationships — isdetermined by th
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Aluga, Martin. "Application of CHATGPT in civil engineering." East African Journal of Engineering 6, no. 1 (2023): 104–12. http://dx.doi.org/10.37284/eaje.6.1.1272.

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Artificial Intelligence, machine learning, and the Internet of Things (IoT) are changing the way tasks are accomplished. CHATGPT is a well-known conversational artificial intelligence (AI) system based on the generative pre-trained transformer (GPT) architecture, launched by OpenAI. CHATGPT is trained through reinforcement learning based on human feedback. There are advantages to the use of CHATGPT in Civil engineering, including but not limited to design and planning: structural analysis and simulation, code compliance and regulations construction management, knowledge repository and informat
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Salehi, Hadi, and Rigoberto Burgueño. "Emerging artificial intelligence methods in structural engineering." Engineering Structures 171 (September 2018): 170–89. http://dx.doi.org/10.1016/j.engstruct.2018.05.084.

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Alghurair, Mohsen Saud, and Ayman Rushdy Fahim. "The Role of Artificial Intelligence in Civil Engineering Applications and Programs." Journal of engineering sciences and information technology 7, no. 3 (2023): 54–67. http://dx.doi.org/10.26389/ajsrp.k270723.

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The integration of artificial intelligence (AI) techniques in civil engineering programs and drawing techniques has the potential to revolutionize the industry. This study explores the benefits, challenges, and strategies for the effective utilization of AI in civil engineering. The research investigates the current state of AI integration, examines its applications in structural analysis, design, documentation, and project management, and identifies the barriers hindering widespread adoption. The study highlights the importance of data-driven decision-making, enhanced design visualization, im
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Manzoor, Bilal, Idris Othman, Serdar Durdyev, Syuhaida Ismail, and Mohammad Hussaini Wahab. "Influence of Artificial Intelligence in Civil Engineering toward Sustainable Development—A Systematic Literature Review." Applied System Innovation 4, no. 3 (2021): 52. http://dx.doi.org/10.3390/asi4030052.

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The widespread use of artificial intelligence (AI) in civil engineering has provided civil engineers with various benefits and opportunities, including a rich data collection, sustainable assessment, and productivity. The trend of construction is diverted toward sustainability with the aid of digital technologies. In this regard, this paper presents a systematic literature review (SLR) in order to explore the influence of AI in civil engineering toward sustainable development. In addition, SLR was carried out by using academic publications from Scopus (i.e., 3478 publications). Furthermore, sc
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Kumar, Kanhaiya, and Muskan Kumari. "CONTRIBUTION OF AI TO THE CONSTRUCTION WORLD." BSSS journal of computer 12, no. 1 (2021): 58–70. http://dx.doi.org/10.51767/jc1207.

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Artificial intelligence is a department of computer science and information technological know-how, involved in the research, layout, and application of intelligent computer. Conventional techniques for modeling and optimizing complicated structure systems require big amounts of computing assets, and artificial-intelligence-primarily based solutions can frequently provide treasured alternatives for successfully solving problems inside the civil engineering. This paper summarizes currently evolved methods and theories within the growing path for programs of synthetic intelligence in civil engin
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Mavrova - Guirguinova, Maria. "Application of Artificial Intelligence in Technical Diagnostics of Dams." Annual of Univercity of architecture, civil engineering and geodesy 57, no. 4 (2024): 859–68. https://doi.org/10.71167/uaceg.2024.570405.

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The integration of artificial intelligence (AI) into civil engineering, particularly in the domain of dam management, is becoming increasingly prominent due to the complexity of analytical mathematical modeling and the limitations of physical models. AI, particularly artificial neural networks, aids in tasks such as predicting horizontal displacements of dam crowns and diagnosing their behavior during operation. This technology offers solutions for design optimization, uncertainty management, and safety analysis in operation, enabling engineers to make informed decisions throughout the lifecyc
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Al-Zwainy, Faiq Mohammed Sarhan, and Neran Taher Hadal. "Application Artificial Forecasting Techniques in Cost Management (review)." Journal of Engineering 22, no. 8 (2016): 1–15. http://dx.doi.org/10.31026/j.eng.2016.08.01.

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For the duration of the last few many years many improvement in computer technology, software program programming and application production had been followed with the aid of diverse engineering disciplines. Those trends are on the whole focusing on synthetic intelligence strategies. Therefore, a number of definitions are supplied, which recognition at the concept of artificial intelligence from exclusive viewpoints. This paper shows current applications of artificial intelligence (AI) that facilitate cost management in civil engineering tasks. An evaluation of the artificial intelligence in i
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Khalid, Saifullah. "Artificial intelligence (AI) in engineering and technology." Information Fusion Research 1, no. 1 (2023): 127. http://dx.doi.org/10.59429/ifr.v1i1.127.

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From traditional civil engineering and aerospace engineering to large portions of electrical, electronics, and computer engineering, and most importantly, the medical and clinical sciences, artificial intelligence (AI) is one of the most critical and useful tools for research. The human brain’s ability to interpret sensory data, solve issues, learn from past experiences and tests, store and retrieve data, etc., is where the current discipline starts. In particular, the power sector is on the cusp of inevitable change as a result of numerous restructuring efforts, and the power science communit
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Reich, Yoram. "Artificial Intelligence in Bridge Engineering." Computer-Aided Civil and Infrastructure Engineering 11, no. 6 (1996): 433–45. http://dx.doi.org/10.1111/j.1467-8667.1996.tb00355.x.

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Vikash, Singh, Bano Samreen, and Kumar Yadav |. Dr. Sabih Ahmad Anand. "Feasibility of Artificial Neural Network in Civil Engineering." International Journal of Trend in Scientific Research and Development 3, no. 3 (2019): 724–28. https://doi.org/10.31142/ijtsrd22985.

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An Artificial neural network ANN is an information processing hypothesis that is stimulated by the way natural nervous system, such as brain, process information. The using of artificial neural network in civil engineering is getting more and more credit all over the world in last decades. This soft computing method has been shown to be very effective in the analysis and solution of civil engineering problems. It is defined as a body which works out the more and more complex problem through sequential algorithms. It is designed on the basis of artificial intelligence which is proficient of sto
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POYET, PATRICE, ANNE-MARIE DUBOIS, and BERTRAND DELCAMBRE. "Artificial Intelligence Software Engineering in Building Engineering." Computer-Aided Civil and Infrastructure Engineering 5, no. 3 (1990): 167–205. http://dx.doi.org/10.1111/j.1467-8667.1990.tb00376.x.

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37

Yi, Jiachen, Qian Liu, Liwei Fan, Jiahao Zhang, and Haoyun Sun. "A study on civil engineering construction simulation technology based on artificial intelligence for civil buildings." Journal of Physics: Conference Series 2816, no. 1 (2024): 012071. http://dx.doi.org/10.1088/1742-6596/2816/1/012071.

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Abstract This research delves into utilizing Artificial Intelligence (AI) in civil engineering, specifically construction simulations. The primary objective is to reconcile the discrepancies between conventional structural analysis techniques and the actual performance of structures. By integrating AI technologies—neural networks, cellular automata, and support vector machines— with data mining, this research proposes a novel approach for simulating civil building constructions. Traditional methods, often constrained by underlying assumptions, fail to capture the complex behaviors of engineeri
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Milne, P. H. "The application of artificial intelligence techniques to civil and structural engineering." Artificial Intelligence in Engineering 4, no. 1 (1989): 54–55. http://dx.doi.org/10.1016/0954-1810(89)90026-5.

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Dudhee, Vishak, and Vladimir Vukovic. "How large language models and artificial intelligence are transforming civil engineering." Proceedings of the Institution of Civil Engineers - Civil Engineering 176, no. 4 (2023): 150. http://dx.doi.org/10.1680/jcien.2023.176.4.150.

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Large language models with artificial intelligence are transforming the way infrastructure projects are planned, executed and managed. Vishak Dudhee and Vladimir Vukovic of V-Lab say they are unlocking unprecedented efficiency and innovation in civil engineering.
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Pande, G. N., and H. S. Shin. "Artificial intelligence v. equations." Civil Engineering 157, no. 1 (2004): 39–42. http://dx.doi.org/10.1680/cien.157.1.39.36267.

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Pande, Gyan N., and Hyu-Soung Shin. "Artificial intelligence v. equations." Proceedings of the Institution of Civil Engineers - Civil Engineering 157, no. 1 (2004): 39–42. http://dx.doi.org/10.1680/cien.2004.157.1.39.

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Zykov, S. V. "The Problem of Subjectivity of Artificial Intelligence." Actual Problems of Russian Law 19, no. 2 (2024): 131–39. http://dx.doi.org/10.17803/1994-1471.2024.159.2.131-139.

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In connection with the problem of inclusion of objects produced by artificial intelligence (AI) into civil transactions turnover, the issue of subjectivity of rights to them must be resolved. One of the possible solutions (some researchers call it the main one) is considering granting the status of a subject of law to artificial intelligence itself. The paper is devoted to criticism of this approach.The social behavior of people is formed on the basis of their physical essence, this relationship will remain valid in the future. It is obvious that artificial intelligence is obviously devoid of
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Ayyub, Bilal M. "Systems framework for fuzzy sets in civil engineering." Fuzzy Sets and Systems 40, no. 3 (1991): 491–508. http://dx.doi.org/10.1016/0165-0114(91)90174-o.

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García Márquez, Fausto Pedro, Mayorkinos Papaelias, and Simone Marini. "Artificial Intelligence in Marine Science and Engineering." Journal of Marine Science and Engineering 10, no. 6 (2022): 711. http://dx.doi.org/10.3390/jmse10060711.

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Vinayak, Hulwane. "Review of AI in Civil Engineering." Annals of Civil and Environmental Engineering 8, no. 1 (2024): 048–51. http://dx.doi.org/10.29328/journal.acee.1001066.

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This paper reviews the transformative impact of Artificial Intelligence (AI) on civil engineering. It explores AI's fundamental concepts and its applications across structural analysis, construction management, transportation, geotechnical engineering, and sustainability. The review highlights AI's role in automating tasks, predicting outcomes, and optimizing designs throughout project lifecycles. Recent advancements in AI-driven technologies for structural health monitoring, predictive maintenance, and risk assessment are discussed, along with challenges like data quality and model interpreta
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Kostrytskyi, V. V., and L. M. Kostrytska. "THE PLACE OF ARTIFICIAL INTELLIGENCE IN CIVIL PROCEDURE." Actual problems of native jurisprudence, no. 5 (2023): 9–15. http://dx.doi.org/10.32782/39221544.

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Swapnil Raut. "Concrete Intelligence: Predicting Test Properties with Artificial Intelligence." Journal of Information Systems Engineering and Management 10, no. 27s (2025): 953–64. https://doi.org/10.52783/jisem.v10i27s.4755.

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Highly flowable, segregation-resistant, self-compacting concrete (SCC) ensures excellent structural performance in cramped areas and efficiently facilitates correct filling. The highly flowable concrete, known as self-consolidating concrete (SCC), forms without mechanical vibration. This paper analyzes the methods used on SCC mixed datasets gathered from the scientific community, utilizing artificial neural networks (ANN). Artificial neural networks act similarly to a fully developed human brain, storing and retrieving data to solve complex issues and learn through experience. In addition to e
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Zhang, Yuting. "Safety Management of Civil Engineering Construction Based on Artificial Intelligence and Machine Vision Technology." Advances in Civil Engineering 2021 (December 13, 2021): 1–14. http://dx.doi.org/10.1155/2021/3769634.

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With the development of social economy and the progress of science and technology, the process of urbanization continues to deepen and the progress of the construction industry changes with each passing day. People are paying more and more attention to the safety of civil engineering. Accidents frequently occurred during the construction process, which exposed the lack of attention to safety issues during the construction process, the lack of effective supervision of safe construction, and the lack of safety awareness of construction personnel, which had an impact on the construction of civil
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Md Abu Sayeed, Pankaj Kumar Sarker, Md. Suman Miah, et al. "Role of artificial intelligence (AI) in civil engineering to minimize environment pollution." World Journal of Advanced Research and Reviews 24, no. 3 (2024): 982–94. https://doi.org/10.30574/wjarr.2024.24.3.3748.

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Abstract:
This study investigates the role of Artificial Intelligence (AI) in minimizing environmental pollution within the civil engineering sectors. With the growing emphasis on sustainability and environmental protection, AI presents an innovative approach to reducing resource consumption, waste generation, and pollution in construction and urban development. The research explores various applications of AI, including resource optimization, waste reduction, energy efficiency, smart infrastructure, and real-time environmental pollution monitoring. Key findings suggest that AI technologies contribute t
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50

Md, Abu Sayeed, Kumar Sarker Pankaj, Suman Miah Md., et al. "Role of artificial intelligence (AI) in civil engineering to minimize environment pollution." World Journal of Advanced Research and Reviews 24, no. 3 (2024): 982–94. https://doi.org/10.5281/zenodo.15187077.

Full text
Abstract:
This study investigates the role of Artificial Intelligence (AI) in minimizing environmental pollution within the civil engineering sectors. With the growing emphasis on sustainability and environmental protection, AI presents an innovative approach to reducing resource consumption, waste generation, and pollution in construction and urban development. The research explores various applications of AI, including resource optimization, waste reduction, energy efficiency, smart infrastructure, and real-time environmental pollution monitoring. Key findings suggest that AI technologies contribute t
APA, Harvard, Vancouver, ISO, and other styles
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