Data-centric engineering approaches in construction projects

Hala Nassereddine; Makram Bou Hatoum

doi:10.1016/B978-0-443-29861-5.00021-4

Data-centric engineering approaches in construction projects

Hala Nassereddine
, Makram Bou Hatoum

Civil Engineering

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

The objective of this chapter is to provide an overview of data-centric engineering (DCE) and its application in construction research. The chapter starts by summarizing the research done on artificial intelligence and its impact on the construction industry. Next, the chapter introduces the concept of DCE and emphasizes the need to switch from model-centric to DCE as engineering applications become more complex. The chapter then highlights major examples of DCE applications from construction research, and ends by emphasizing how digital twin can be a defining DCE approach for the industry. The findings of this chapter can provide construction researchers and practitioners with the introductory information they need as they research and apply DCE within the construction industry.

Original language	English
Title of host publication	Digital Transformation in the Construction Industry
Subtitle of host publication	Sustainability, Resilience, and Data-Centric Engineering
Pages	429-439
Number of pages	11
ISBN (Electronic)	9780443298615
DOIs	https://doi.org/10.1016/B978-0-443-29861-5.00021-4
State	Published - Jan 1 2025

Bibliographical note

Publisher Copyright:
© 2025 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.

Keywords

Artificial intelligence
data-centric engineering
data-centricity
digital twin
model based system engineering.

ASJC Scopus subject areas

General Engineering

Access to Document

10.1016/B978-0-443-29861-5.00021-4

Cite this

@inbook{6072e0da7f2142198b14f1e00a1ebcb6,

title = "Data-centric engineering approaches in construction projects",

abstract = "The objective of this chapter is to provide an overview of data-centric engineering (DCE) and its application in construction research. The chapter starts by summarizing the research done on artificial intelligence and its impact on the construction industry. Next, the chapter introduces the concept of DCE and emphasizes the need to switch from model-centric to DCE as engineering applications become more complex. The chapter then highlights major examples of DCE applications from construction research, and ends by emphasizing how digital twin can be a defining DCE approach for the industry. The findings of this chapter can provide construction researchers and practitioners with the introductory information they need as they research and apply DCE within the construction industry.",

keywords = "Artificial intelligence, data-centric engineering, data-centricity, digital twin, model based system engineering.",

author = "Hala Nassereddine and Hatoum, \{Makram Bou\}",

note = "Publisher Copyright: {\textcopyright} 2025 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.",

year = "2025",

month = jan,

day = "1",

doi = "10.1016/B978-0-443-29861-5.00021-4",

language = "English",

isbn = "9780443298622",

pages = "429--439",

booktitle = "Digital Transformation in the Construction Industry",

}

TY - CHAP

T1 - Data-centric engineering approaches in construction projects

AU - Nassereddine, Hala

AU - Hatoum, Makram Bou

PY - 2025/1/1

Y1 - 2025/1/1

N2 - The objective of this chapter is to provide an overview of data-centric engineering (DCE) and its application in construction research. The chapter starts by summarizing the research done on artificial intelligence and its impact on the construction industry. Next, the chapter introduces the concept of DCE and emphasizes the need to switch from model-centric to DCE as engineering applications become more complex. The chapter then highlights major examples of DCE applications from construction research, and ends by emphasizing how digital twin can be a defining DCE approach for the industry. The findings of this chapter can provide construction researchers and practitioners with the introductory information they need as they research and apply DCE within the construction industry.

AB - The objective of this chapter is to provide an overview of data-centric engineering (DCE) and its application in construction research. The chapter starts by summarizing the research done on artificial intelligence and its impact on the construction industry. Next, the chapter introduces the concept of DCE and emphasizes the need to switch from model-centric to DCE as engineering applications become more complex. The chapter then highlights major examples of DCE applications from construction research, and ends by emphasizing how digital twin can be a defining DCE approach for the industry. The findings of this chapter can provide construction researchers and practitioners with the introductory information they need as they research and apply DCE within the construction industry.

KW - Artificial intelligence

KW - data-centric engineering

KW - data-centricity

KW - digital twin

KW - model based system engineering.

UR - https://www.scopus.com/pages/publications/105010991348

UR - https://www.scopus.com/pages/publications/105010991348#tab=citedBy

U2 - 10.1016/B978-0-443-29861-5.00021-4

DO - 10.1016/B978-0-443-29861-5.00021-4

M3 - Chapter

AN - SCOPUS:105010991348

SN - 9780443298622

SP - 429

EP - 439

BT - Digital Transformation in the Construction Industry

ER -

Data-centric engineering approaches in construction projects

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this