The Conventional Construction Scenario and the Emergence of Advance Technologies in the Bridge Construction: Implementation, Impediments, and Case Study

• Published in: Journal of the Institution of Engineers (India). Series A, Civil, architectural, environmental and agricultural Engineering Vol. 104; no. 3; pp. 709 - 720
• Main Authors: Ghosh, Bittu, Karmakar, Somnath
• Format: Journal Article
• Language: English
• Published: New Delhi Springer India 01.09.2023; Springer Nature B.V
• Subjects: Artificial intelligence; Augmented reality; Bridge construction; Case studies; Case Study; Civil Engineering; Construction companies; Construction industry; Digital twins; Economic conditions; Engineering; Internet of Things; Machine learning; Mixed reality; Virtual reality; Infrastructure; Approaches; Impediments; Construction; Survey; Bridge
• ISSN: 2250-2149; 2250-2157
• DOI: 10.1007/s40030-023-00732-x

The conventional construction approach is trailing, which motivates the increased need for product and service transformation. The construction industry is slow in adopting advanced technologies; therefore, it offers an opportunity to update the advanced transformation sector through empirical-quantitative research. This paper aims to bridge the knowledge and practice gap by (1) identifying suitable techniques and evaluating the current rate of adoption in the construction industry; (2) outlining the advantages and constraints of using technologies for industry growth; and (3) identifying the crucial impediments to adopting technologies and proposing strategies to overcome such impediments. (4) A survey was carried out as a case study that led to a real-world industrial scenario to gather information on the subject under study. The study’s findings indicate that the construction firms that adopt innovations will reap the rewards with good order books. Further, advance technologies in construction, such as Virtual Reality, Building Information and Modelling, Augmented Reality, Mixed Reality, Internet of Things, Sensors, Digital Twin, Construction 4.0, Automation, Artificial Intelligence, and Machine Learning, will help to save time, cost overruns, quality, and proper safety, even in relatively low economic conditions and uncertain environments.