Structural Engineering Applications Using Artificial Intelligence and Machine Learning: A Review


Abstract views: 24 / PDF downloads: 28

Authors

  • Sardar Muhammad Abubakar University of Central Punjab
  • Muhammad Umer Karimi University of Central Punjab
  • Shiekh Junaid Mustafa University of Central Punjab
  • Burhan Ahmad University of Central Punjab

Keywords:

Civil Engineering, Structural Engineering, Artificial Intelligence, Machine Learning, Deep Learning, Neural Networks, AI, ML

Abstract

Artificial Intelligence (AI) is revolutionizing civil engineering, particularly in the fields of
structural design and analysis. This review paper explores the application of AI methodologies, including
machine learning (ML) and deep learning (DL), in enhancing Civil Engineering practices. The study
highlights how AI can address complex challenges such as structural health monitoring, structural analysis,
design optimization and modelling of design. Through a systematic review of literature, empirical studies,
and practical predictive modeling, the paper emphasizes the potential of AI to improve decision-making
processes, optimize structural analysis and design predictions, and innovate traditional engineering
practices. It also discusses the interdisciplinary nature of AI, drawing on computer science, engineering,
and mathematics, while acknowledging challenges related to data quality, model accuracy, and
computational efficiency. The findings underscore the need for continued research and development to fully
harness AI's capabilities for the benefit of the civil engineering community and society at large.

Downloads

Download data is not yet available.

Author Biographies

Sardar Muhammad Abubakar, University of Central Punjab

Department of Civil Engineering, Pakistan

Muhammad Umer Karimi, University of Central Punjab

Department of Civil Engineering, Pakistan

Shiekh Junaid Mustafa, University of Central Punjab

Department of Civil Engineering, Pakistan

Burhan Ahmad, University of Central Punjab

Department of Civil Engineering, Pakistan

References

C. NASEEB, "AI AND ML-DRIVING AND EXPONENTIATING SUSTAINABLE AND QUANTIFIABLE DIGITAL TRANSFORMATION," 2020 IEEE 44TH ANNUAL COMPUTERS, SOFTWARE, AND APPLICATIONS CONFERENCE (COMPSAC), MADRID, SPAIN, 2020, PP. 316-321, HTTPS://DOI.ORG/10.1109/COMPSAC48688.2020.0-227

HATON, J. P. (2006). "A BRIEF INTRODUCTION TO ARTIFICIAL INTELLIGENCE". IFAC PROCEEDINGS, VOLUME: 39 (ISSUE: 04), 8-16. HTTPS://DOI.ORG/10.3182/20060522-3-FR-2904.00003

A. FISCHER, A. B. BEDRIKOW, I. D. TOMMELEIN, K. NÜBEL, AND J. FOTTNER, “FROM ACTIVITY RECOGNITION TO SIMULATION: THE IMPACT OF GRANULARITY ON PRODUCTION MODELS IN HEAVY CIVIL ENGINEERING,” ALGORITHMS, VOL. 16, NO. 4, P. 212, APR. 2023, DOI: HTTPS://DOI.ORG/10.3390/A16040212

P. DU AND W. CHE, “RESEARCH ON DISCIPLINE CONSTRUCTION OF CIVIL ENGINEERING BASED ON ARTIFICIAL INTELLIGENCE,” ADVANCES IN ENGINEERING TECHNOLOGY RESEARCH, VOL. 6, NO. 1, P. 254, JUN. 2023, DOI: HTTPS://DOI.ORG/10.56028/AETR.6.1.254.2023

K. DEMERTZIS, S. DEMERTZIS, AND L. ILIADIS, “A SELECTIVE SURVEY REVIEW OF COMPUTATIONAL INTELLIGENCE APPLICATIONS IN THE PRIMARY SUBDOMAINS OF CIVIL ENGINEERING SPECIALIZATIONS,” APPLIED SCIENCES, VOL. 13, NO. 6, P. 3380, MAR. 2023, DOI: HTTPS://DOI.ORG/10.3390/APP13063380

N. D. LAGAROS AND V. PLEVRIS, “ARTIFICIAL INTELLIGENCE (AI) APPLIED IN CIVIL ENGINEERING,” APPLIED SCIENCES, VOL. 12, NO. 15, P. 7595, JUL. 2022, DOI: HTTPS://DOI.ORG/10.3390/APP12157595

Y. HUANG, J. LI, AND J. FU, “REVIEW ON APPLICATION OF ARTIFICIAL INTELLIGENCE IN CIVIL ENGINEERING,” COMPUTER MODELING IN ENGINEERING & SCIENCES, VOL. 121, NO. 3, PP. 845–875, JAN. 2019, DOI: HTTPS://DOI.ORG/10.32604/CMES.2019.07653.

C. MÁLAGA-CHUQUITAYPE, “MACHINE LEARNING IN STRUCTURAL DESIGN: AN OPINIONATED REVIEW,” FRONTIERS IN BUILT ENVIRONMENT, VOL. 8, FEB. 2022, DOI: HTTPS://DOI.ORG/10.3389/FBUIL.2022.815717

A. OCAK, S. M. NIGDELI, G. BEKDAŞ, AND Ü. IŞIKDAĞ, “ARTIFICIAL INTELLIGENCE AND DEEP LEARNING IN CIVIL ENGINEERING,” IN STUDIES IN SYSTEMS, DECISION AND CONTROL, 2023, PP. 265–288. DOI: HTTPS://WWW.DOI.ORG/10.1007/978-3-031-34728-3_13.

G. TECUCI, “ARTIFICIAL INTELLIGENCE,” WILEY INTERDISCIPLINARY REVIEWS. COMPUTATIONAL STATISTICS, VOL. 4, NO. 2, PP. 168–180, DEC. 2011, DOI: HTTPS://DOI.ORG/10.1002/WICS.200

J. P. H. COLEMAN, “AI AND OUR UNDERSTANDING OF INTELLIGENCE,” IN ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING, 2020, PP. 183–190. DOI: HTTPS://DOI.ORG/10.1007/978-3-030-55180-3_15

M. H. ABDALLAH ET AL., “THE MACHINE-LEARNING-BASED PREDICTION OF THE PUNCHING SHEAR CAPACITY OF REINFORCED CONCRETE FLAT SLABS: AN ADVANCED M5P MODEL TREE APPROACH,” APPLIED SCIENCES, VOL. 13, NO. 14, P. 8325, JUL. 2023, DOI: HTTPS://DOI.ORG/10.3390/APP13148325.

R. PERERA, D. TARAZONA, A. RUIZ, AND A. MARTÍN, “APPLICATION OF ARTIFICIAL INTELLIGENCE TECHNIQUES TO PREDICT THE PERFORMANCE OF RC BEAMS SHEAR STRENGTHENED WITH NSM FRP RODS. FORMULATION OF DESIGN EQUATIONS,” COMPOSITES. PART B, ENGINEERING, VOL. 66, PP. 162–173, NOV. 2014, DOI: HTTPS://DOI.ORG/10.1016/J.COMPOSITESB.2014.05.001

G. MARKOU, N. BAKAS, AND A. M. VAN DER WESTHUIZEN, “USE OF AI AND ML ALGORITHMS IN DEVELOPING CLOSED-FORM FORMULAE FOR STRUCTURAL ENGINEERING DESIGN,” IN ADVANCES IN CIVIL AND INDUSTRIAL ENGINEERING BOOK SERIES, 2023, PP. 73–105. DOI: HTTPS://DOI.ORG/10.4018/978-1-6684-5643-9.CH004.

G. SANCHETI, H. PATIL, S. SHARMA, AND S. GOSWAMI, “ANALYSIS OF DESIGN FOR ONE-WAY REINFORCED CONCRETE SLABS USING MACHINE LEARNING MODELS,” IOP CONFERENCE SERIES. MATERIALS SCIENCE AND ENGINEERING, VOL. 1099, NO. 1, P. 012052, MAR. 2021, DOI: HTTPS://DOI.ORG/10.1088/1757-899X/1099/1/012052.

W.-K. HONG AND T. D. PHAM, “REVERSE DESIGNS OF DOUBLY REINFORCED CONCRETE BEAMS USING GAUSSIAN PROCESS REGRESSION MODELS ENHANCED BY SEQUENCE TRAINING/DESIGNING TECHNIQUE BASED ON FEATURE SELECTION ALGORITHMS,” JOURNAL OF ASIAN ARCHITECTURE AND BUILDING ENGINEERING, VOL. 21, NO. 6, PP. 2345–2370, OCT. 2021, DOI: HTTPS://DOI.ORG/10.1080/13467581.2021.1971999.

N.G.B. PINHÃO,; “ARTIFICIAL INTELLIGENCE FOR THE ANALYSIS OF STRUCTURES IN CIVIL ENGINEERING" M.S. THESIS, 2021, INSTITUTO SUPERIOR TÉCNICO, LISBOA, PORTUGAL. HTTPS://FENIX.TECNICO.ULISBOA.PT/DOWNLOADFILE/1689244997262362/84748-NUNO-PINHAO_RESUMO.PDF

H. SUN, H. V. 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, P. 101816, JAN. 2021, DOI: HTTPS://DOI.ORG/10.1016/J.JOBE.2020.101816

Downloads

Published

2024-06-27

How to Cite

Abubakar, S. M., Karimi, M. U., Mustafa, S. J., & Ahmad, B. (2024). Structural Engineering Applications Using Artificial Intelligence and Machine Learning: A Review. International Journal of Advanced Natural Sciences and Engineering Researches, 8(5), 140–145. Retrieved from https://as-proceeding.com/index.php/ijanser/article/view/1895

Conference Proceedings Volume

Section

Articles