A review on the role of artificial intelligence in the construction industry
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In recent years, the statistics on the construction industry show an important growth that we must take into account, in the same way technology does its thing with the creation of artificial intelligence, that is, the creation of systems and machines that play a role. important by improving performance, optimizing work and time to different areas of work in construction, without neglecting the training required for the use of said technology. In this document, the objective is to investigate and obtain a systematic understanding of the importance, challenges and solutions offered by artificial intelligence in the world of construction, for which a review of 86 duly indexed articles from the last 7 years was carried out between 2015 and 2021, which are divided as follows: 39 from ScienceDirect, 24 from ESCOPUS and 23 from EBSCO, documents in which they point out the importance of artificial intelligence and the construction industry working, giving good results as soon as it advances, safety, quality and performance in the works, so it can be concluded that the implementation of technology in construction is a potentially viable alternative.
P. Yue and Z. Limao, "Roles of artificial intelligence in construction engineering and management: A critical review and future trends," Automation in Construction, vol. 122, pp. 1-21, 2021.
A. Darko, A. Chan, M. Adabre, D. Edwards, R. Hosseini and E. Ameyaw, "Artificial intelligence in the AEC industry: Scientometric analysis and visualization of research activities," Automation in Construction, vol. 112, pp. 1-19, 2020.
L. Castro, A. Carballal, N. Rodrígez, I. Santos and J. Romero, "Artificial intelligence applied to conceptual design. A review of its use in architecture," Automation in Construction, vol. 124, no. 103550, 2021.
Y. Zhang, H. Liu, S.-C. Kang and M. Al-Hussein, "Virtual reality applications for the built environment: Research trends and opportunities," Automation in Construction, vol. 118, pp. 1-19, 2020.
Y. An, H. Li, T. Su and Y. Wang, "Determining Uncertainties in AI Applications in AEC Sector and their Corresponding Mitigation Strategies," Automation in Construction, vol. 131, pp. 1-18, 2021.
R. Burgueño and H. Salehi, "Emerging artificial intelligence methods in structural engineering," Engineering Structures, vol. 171, pp. 170-189, 2018.
P. Martinez, M. Al-Hussein and R. Ahmad, "A scientometric analysis and critical review of computer vision applications for construction," Automation in Construction, vol. 107, pp. 1-17, 2019.
Y. Zhijia and F. Lingjun, "Integration of Industry 4.0 Related Technologies in Construction Industry: A Framework of Cyber-Physical System," IEEE Access, vol. 8, pp. 122908 - 122922, 2020.
H. Hirosuke , "advancement of vehicle occupant restraint system design by integration of artificial intelligence technologieS," International Journal of Transport Development and Integration, vol. 5, no. 3, p. 242–253, 2021.
S. Sharma, S. Ahmed, M. Naseem, W. S. Alnumay, . S. Singh and G. Hwan Cho , "A Survey on Applications of Artificial Intelligence for Pre-Parametric Project Cost and Soil Shear-Strength Estimation in Construction and Geotechnical Engineering," sensors, vol. 21, no. 2, pp. 1 - 44, 2021.
B. Brandoli, A. R. de Geus, J. Souza, G. Spadon, A. Soares, J. F. Rodrigues Jr, J. Komorowski and S. Stan, "Aircraft Fuselage Corrosion Detection Using Artificial Intelligence," Sensors, vol. 21, no. 12, 2021.
B. Zhong, H. Wu, H. Li, S. Sepasgozar, H. Luo and L. He, "A scientometric analysis and critical review of computer vision applications for construction," Automation in Construction, vol. 101, pp. 17-31, 2019.
I. Beloev, D. Kinaneva, G. Georgiev, G. Hristov and P. Zahariev, "Artificial Intelligence-Driven Autonomous Robot for Precision Agriculture," Acta Technologica Agriculturae, vol. 24, no. 1, pp. 48 - 54, 2021.
B. Manzoor, I. Othman, S. Durdyev, S. Ismail and M. Hussaini Wahab, "Influence of Artificial Intelligence in Civil Engineering toward Sustainable Development—A Systematic Literature Review," Applied System Innovation, vol. 4, no. 3, 2021.
. N. Manh Duc, P. Binh Thai, T. Tran Thi, . Y. . H. Hoang Phan, P. Indra, . V. Thanh Tien, C. Kamran, S. Ataollah, S. Himan, D. Jie, Q. Nguyen Kim and B. Dieu Tien, "Development of an Artificial Intelligence Approach for Prediction of Consolidation Coefficient of Soft Soil: A Sensitivity Analysis," Open Construction and Building Technology Journal, vol. 13, no. 1, pp. 178 - 188, 2019.
A. Emman Aladejare, E. Damola Alofe, M. Onifade, . A. Ismail Lawal, T. Malachi Ozoji y . Z. Xian Zhang , «Empirical Estimation of Uniaxial Compressive Strength of Rock: Database of Simple, Multiple, and Artificial Intelligence-Based Regressions,» Geotechnical and Geological Engineering, vol. 39, nº 6, p. 4427–4455, 2021.
P. Liu, W. Jiang, X. Wang, H. Li and H. Sun, "Research and application of artificial intelligence service platform for the power field," Global Energy Interconnection, vol. 3, no. 2, pp. 175-185, 2020.
Z. Beljkas, M. Knezevic, S. Rutesic and N. Ivanisevic, "Application of Artificial Intelligence for the Estimation of Concrete and Reinforcement Consumption in the Construction of Integral Bridges," Advances in Civil Engineering, vol. 2020, p. 8, 2020.
Q. Ha, L. Yen and C. Balaguer, "Robotic autonomous systems for earthmoving in military applications," Automation in Construction, vol. 107, pp. 1-19, 2019.
W. Zewdu Taffese and K. Admassu Abegaz, "Artificial Intelligence for Prediction of Physical and Mechanical Properties of Stabilized Soil for Affordable Housing," Applied Sciences (Switzerland), vol. 11, no. 16, 2021.
N. Visveshwar, K. Vignesh and S. Vimal, "Artificial Intelligence Modelling and Analysis of Pivotal Parameters in Drilling Hybrid Fiber Composite (HFC)," FME Transactions, vol. 45, no. 4, pp. 641 - 646, 2017.
S. Abioye, L. Oyedele, L. Akanbi, A. Ajayi, J. Davila, M. Bilal and O. A. A. Akinade, "Artificial intelligence in the construction industry: A review of present status, opportunities and future challenges," Journal of Building Engineering, vol. 44, no. 103299, 2021.
T. García, V. Yepes y D. Frangopol, «Multi-objective design of post-tensioned concrete road bridges using artificial neural networks,» Structural and Multidisciplinary Optimization, vol. 56, nº 1, pp. 139-150, 2017.
S. Dabous and S. Feroz, "Condition monitoring of bridges with non-contact testing technologies," Automation in Construction, vol. 116, 2020.
N. Pavani and K. Prapoorna, "Pavement asset management systems and technologies: A review," Automation in Construction, vol. 119, no. 3, 2020.
S. Sony, K. Dunphy, A. Sadhu and M. Capretz, "A systematic review of convolutional neural network-based structural condition assessment techniques," Engineering Structures, vol. 226, 2021.
Y. Liu, "Construction of Marine Economic Forecast Management System Based on Artificial Intelligence," Journal of Coastal Research, no. 112, pp. 228-230., 2020.
S. M. Khajeh Pasha, H. Hazarika and . N. Yoshimoto, "Estimating dynamic characteristics of gravel-tire chips mixtures using artificial intelligence techniques," Journal of the Society of Materials Science, vol. 69, no. 1, pp. 1-8, 2020.
K. T. Ateş, C. Şahin, Y. Kuvvetli, B. A. Küren and A. Uysal, "Sustainable production in cement via artificial intelligence based decision support system: Case study," Case Studies in Construction Materials, vol. 15, p. 00628, 2021.
W. Zewdu and E. Sistonen, "Machine learning for durability and service-life assessment of reinforced concrete structures: Recent advances and future directions," Automation in Construction, vol. 77, pp. 1-14, 2017.
P. Tizpa, R. Jamshidi Chenari, M. Karimpour Fard and S. Lemos Machado, "ANN prediction of some geotechnical properties of soil from their index parameters," Arabian Journal of Geosciences, vol. 8, no. 5, p. 2911–2920, 2015.
A. Gomez, M. Granados and I. Pérez, "Improving construction material and equipment logistics via simulation," Ingeniería Y Competitividad, vol. 17, no. 1, pp. 85-94, 2015.
J. Wan, X. Li, H.-N. Dai, A. Kusiak, M. Martínez-García and D. Li, "Artificial-Intelligence- Driven Customized Manufacturing Factory: Key Technologies, Applications, and Challenges," Proceedings of the IEEE, vol. 109, no. 4, 2021.
H. Dehghani and A. Zilian, "Poroelastic model parameter identification using artificial neural networks: on the effects of heterogeneous porosity and solid matrix Poisson ratio," Computational Mechanics, vol. 66, no. 3, p. 625–649, 2020.
B. Cohen, "Artificial intelligence: Here it comes: This technology will pose something of a make-or-break challenge.," PM Engineer, vol. 26, no. 1, pp. 58-59, 2020.
P. Torres, "The possibility and risks of artificial general intelligence," BULLETIN OF THE ATOMIC SCIENTISTS, vol. 75, no. 3, p. 105–108, 2019.
C. Guang, "Development of migrant workers in construction based on machine learning and artificial intelligence technology.," Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 6629-6640, 2020.
. B. Shneiderman, "Viewpoint Responsible AI: Bridging From Ethics to Practice: Recommendations for increasing the benefits of artificial intelligence technologies.," Communications of the ACM, vol. 64, no. 8, pp. p32-35, 2021.
R. Falcone, C. Lima and E. Martinelli, "Soft computing techniques in structural and earthquake engineering: a literature review," Engineering Structures, vol. 207, no. 4, 2020.
Z. Xin and L. Xianqing , "Fault Diagnosis Method of the Construction Machinery Hydraulic System Based on Artificial Intelligence Dynamic Monitoring," Mobile Information Systems, vol. 2021, 2021.
H. T. Nguyen, K. Nguyen, T. C. Le and G. Zhang, "Review on the Use of Artificial Intelligence to Predict Fire Performance of Construction Materials and Their Flame Retardancy.," molecules, vol. 26, no. 4, pp. 1420-3049, 2021.
X. Li, "The Construction of Intelligent English Teaching Model Based on Artificial Intelligence.," International Journal of Emerging Technologies in Learning (iJET), vol. 12, no. 12, pp. 35-44, 2017.
N. Dhobale, S. Mulik, R. Jegadeeshwaran and A. Patange, "Supervision of Milling Tool Inserts Using Conventional and Artificial Intelligence Approach: A Review.," Sound & Vibration, vol. 55, no. 2, 2021.
W. Howard and W. M. Peter, "Magic in Pieces: An Analysis of Magic Trick Construction Using Artificial Intelligence as a Design Aid.," APPLIED ARTIFICIAL INTELLIGENCE, vol. 30, no. 1, p. 16–28, 2016.
S. Liu and J. Wang, "Ice and snow talent training based on construction and analysis of artificial intelligence education informatization teaching model.," Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3421-3431, 2021.
M. Qianjing and T. Lin, "An artificial intelligence based construction and application of english multimodal online reading mode.," Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3721-3730, 2021.
Y. Wang, Z. Cao and A. B. Farimani, "Efficient water desalination with graphene nanopores obtained using artificial intelligence," npj 2D Mater Appl, vol. 5, no. 66, 2021.
S. Bello, L. Oyedele, O. Akinade, M. Bilal, J. Davila, L. Akambi, A. Ajayi and H. Owolabi, "Cloud computing in construction industry: Use cases, benefits and challenges," Automation in Construction, vol. 122, no. 1, 2021.
L. Rossi, M. H. Winands and C. Butenweg, "Monte Carlo Tree Search as an intelligent search tool in structural design problems," Engineering with Computers, 2021.
M. Hussein and T. Zayed, "Crane operations and planning in modular integrated construction: Mixed review of literature," Automation in Construction, vol. 122, no. 103466, 2021.
V. T. Nguyen, . M. C. Nguyen and W.-K. Hong, "Artificial intelligence-based noble design charts for doubly reinforced concrete beams," Journal of Asian Architecture and Building Engineering, vol. 23, no. 1, pp. 1346-7581, 2021.
D. V. Dao, S. H. Trinh, H.-B. Ly and B. T. Pham, "Prediction of compressive strength of geopolymer concrete using entirely steel slag aggregates: Novel hybrid artificial intelligence approaches," Applied Sciences, vol. 9, no. 6, 2019.
M. Hadzima, E. Karlo, N. Ademovic, I. Milicevic y T. Kalman, «Modelling the Influence of Waste Rubber on Compressive Strength of Concrete by Artificial Neural Networks,» materials, vol. 12, nº 2, 2019.
X. Hu, B. Li, Y. Mo and O. Alselwi, "Progress in artificial intelligence-based prediction of concrete performance," Journal of Advanced Concrete Technology, vol. 19, no. 8, 2021.
H. Sun, H. Burton and H. Huang, "Machine learning applications for building structural design and performance assessment: State - of - the - art review," Journal of Building Engineering, vol. 33, no. 4, 2021.
I. Tsiptsis, L. Liimatainen, T. Kotnik and J. Niiranen, "Structural optimization employing isogeometric tools in Particle Swarm Optimizer," Journal of Building Engineering, vol. 24, no. 1007761, 2019.
W. Fang, L. Ding, P. Love, H. Luo, H. Li, F. Peña, B. Zhong and C. Zhou, "Computer vision applications in construction safety assurance," Automation in Construction, vol. 110, pp. 1-10, 2020.
B. Ekanayake, J. Kwok-Wai, A. Fard and P. Smith, "Computer vision-based interior construction progress monitoring: A literature review and future research directions," Automation in Construction, vol. 127, pp. 1-12, 2021.
M. R. Hassanvand, H. Karami and S.-F. Mousavi, "Investigation of neural network and fuzzy inference neural network and their optimization using meta-algorithms in river flood routing," Natural Hazards volume, vol. 94, no. 3, p. 1057–1080, 2018.
R. Santos, A. Aguiar, J. Silvestre and L. Pyl, "Informetric analysis and review of literature on the role of BIM in sustainable construction," Automation in Construction, vol. 103, pp. 221-234, 2019.
C. Boje, A. Guerriero, S. Kubicki and Y. Rezgui, "Towards a semantic Construction Digital Twin: Directions for future research," Automation in Construction, vol. 114, 2020.
X. Yin, H. Liu, Y. Chen and M. Al-Hussein, "Building information modelling for off-site construction: Review and future directions," Automation in Construction, vol. 101, pp. 72-91, 2019.
Y. Jiménez, J. Sarmiento, A. Gómez and G. Leal, "Analysis of the environmental sustainability of buildings using BIM (Building Information Modeling) methodology," Ingeniería Y Competitividad, vol. 13, no. 1, pp. 230-240, 2017.
S. Tang, D. Shelden, C. Eastman, Pishdad, Pardis and X. Gao, "A review of building information modeling (BIM) and the internet of things (IoT) devices integration: Present status and future trends," Automation in Construction, vol. 101, pp. 127-139, 2019.
G. Forero, C. Guerrero and D. Herrera, "Computational hydrology and hydraulics applied to Tunal rainwater supply in Paipa, Boyacá Colombia," Ingeniería y Competitividad, vol. 23, no. 2, 2021.
H. Abdirad and P. Mathur, "Artificial intelligence for BIM content management and delivery: Case study of association rule mining for construction detailing," Advanced Engineering Informatics, vol. 50, no. 101414, 2021.
R. Sacks, M. Girolami and I. Brilakis, "Building Information Modelling, Artificial Intelligence and Construction Tech," Developments in the Built Environment, vol. 4, no. 100011, 2020.
R. Chakkravarthy, "ARTIFICIAL INTELLIGENCE for Construction Safety.," Professional Safety, vol. 64, no. 1, pp. 45-45, 2019.
K. Pierce, "How virtual design, artifcial intelligence impact engineers: Architecture, engineering and construction professionals will be impacted by virtual design and artifcial intelligence tools.," Consulting Specifying Engineer, vol. 59, no. 9, 2020.
J. Zhang, "Development of Internet Supply Chain Finance Based on Artificial Intelligence under the Enterprise Green Business Model," Mathematical Problems in Engineering, vol. 2021, 2021.
M. N. Anh and D. X. Bien, "Voice Recognition and Inverse Kinematics Control for a Redundant Manipulator Based on a Multilayer Artificial Intelligence Network," Journal of Robotics, vol. 2021, pp. 1687-9600, 2021.
T. Dawood, E. Elwakil, H. Mayol, Gárate and José, "Artificial intelligence for the modeling of water pipes deterioration mechanisms," Automation in Construction, vol. 120, 2020.
N. Naghshbandi, L. Varga and Y. Hu, "Technologies for safe and resilient earthmoving operations: A systematic literature review," Automation in Construction, vol. 125, 2021.
L. Quiñones, T. Ochoa, O. Gamarra, J. Bazán, J. Delgado y N. Kemper, «Red neuronal artificial para estimar un índice de calidad de agua,» Enfoque UTE, vol. 11, nº 2, pp. 113-124, 2020.
R. Montero, J. Victores, A. Jardón and C. Balaguer, "Past, present and future of robotic tunnel inspection," Automation in Construction, vol. 59, pp. 99-112, 2015.
H. Van, "Concrete material science: Past, present, and future innovations," Cement and Concrete Research, vol. 112, pp. 5-24, 2018.
M. Khan, F. Sanchez and H. Zhou, "3-D printing of concrete: Beyond horizons," Cement and Concrete Research, vol. 133, no. 106070, 2020.
M. Tramontin, I. Maia, E. Guzi, L. Senff and A. Novaes, "3D printed concrete for large-scale buildings: An overview of rheology, printing parameters, chemical admixtures, reinforcements, and economic and environmental prospects," Journal of Building Engineering, vol. 32, no. 101833, 2020.
Y. Yao, M. Yam and Y. Bao, "Measurement of cable forces for automated monitoring of engineering structures using fiber optic sensors: A review," Automation in Construction, vol. 1126, no. 1, 2021.
S. Taheri, "A review on five key sensors for monitoring of concrete structures," Construction and Building Materials, vol. 204, pp. 492-509, 2019.
H. Salehi, R. Burgueño, S. Chakrabartty, N. Lajnef and A. Alavi, "A comprehensive review of self-powered sensors in civil infrastructure: State-of-the-art and future research trends," Engineering Structures, vol. 234, no. 111963, 2021.
M.-Y. Cheng and N.-D. Hoang, "Estimating construction duration of diaphragm wall using firefly-tuned least squares support vector machine.," Neural Computing and Applications, vol. 30, p. 2489–2497, 2018.
S. Zhao, "Tone Recognition Database of Electronic Pipe Organ Based on Artificial Intelligence.," Mathematical Problems in Engineering, vol. 2020, 2021.
S. Ebrahimi, A. R. Fayek and V. Sumati, "Hybrid Artificial Intelligence HFS-RF-PSO Model for Construction Labor Productivity Prediction and Optimization.," Algorithms, vol. 14, no. 77, 2021.
J. Mecklin, "Dealing realistically with the artificial intelligence revolution," BULLETIN OF THE ATOMIC SCIENTISTS, vol. 75, no. 3, pp. 93-94, 2019.
J. L. Blanco, S. Fuchs, M. Parsons and . M. J. Ribeirinho, "ARTIFICIAL INTELLIGENCE: CONSTRUCTION TECHNOLOGY'S NEXT FRONTIER.," The Building Economist, pp. 7-13, 2018.
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