Automation of monitoring construction works based on laser scanning from unmanned aerial vehicles DOI Creative Commons
Artеm Rada, Aleksandr Kuznetsov, Roman Zverev

et al.

Nanotechnologies in Construction A Scientific Internet-Journal, Journal Year: 2023, Volume and Issue: 15(4), P. 373 - 382

Published: Sept. 10, 2023

Introduction.Current publications and technologies for digital modeling of construction projects often entail considerable expenses lengthy project timelines.In order to effectively monitor control a large number objects, there is need develop laser scanning specifically unmanned aerial vehicles, eliminating the ground-based imaging.Materials methods.The study employed hexacopter-type vehicle equipped with scanner, as well specialized software processing imagery data, which included tools developed by authors.The octant method was utilized when developing an algorithm point cloud comparison.Results discussion.In course study, technology automating monitoring work developed, in accordance photography performed once orthophotomap object built (to accommodate data).Then, certain frequency, surveys are carried out from vehicle, dense clouds points formed different dates.To compare them, linear computational has been which, using data on two clouds, allows obtaining resulting cloud, reflects progress work.A feature that search not over entire but within boundaries octants.This speeds up reduces load computing power.The received implementation web application "Management system at facilities have passed state examination." It user quickly get visual representation change selected period, carry all necessary measurements (coordinates, geometric parameters, material consumption, etc.).Conclusions.The can be used developers, customers, municipal authorities obtain information support managerial decision-making.

Language: Английский

Blockchain Impact on Construction Quality Management and Its Adoption Analysis: A Game Theory–Based Method DOI
Haitao Wu, Pan Zhang, Heng Li

et al.

Journal of Construction Engineering and Management, Journal Year: 2024, Volume and Issue: 150(6)

Published: March 20, 2024

Language: Английский

Citations

7

Critical Factors Affecting Quality in Building Construction Projects: Systematic Review and Meta-Analysis DOI
Argaw Gurmu, Muhammad Nateque Mahmood

Journal of Construction Engineering and Management, Journal Year: 2024, Volume and Issue: 150(3)

Published: Jan. 11, 2024

The occurrence of defects in recently completed construction projects many countries has aroused public attention worldwide. Defects are caused by a multitude factors. Numerous studies have identified and evaluated the critical factors affecting quality projects; nonetheless, no consensus been reached regarding their level influence. Thus, to fill this gap, research used Preferred Reporting Items for Systematic Reviews Meta-Analysis (PRISMA) guidelines prioritized quantitatively. Following systematic review meta-analysis, 45 were from 22 relevant studies. Further, heterogeneity, subgroup, sensitivity analyses conducted. findings show that top seven leading poor include lack communication, teamwork, skilled workers; supervision; design errors; complexity low bid contracting. study found very heterogeneity confirming ranking using meta-analysis is reliable. This analysis revealed project location type, publication types, contribute results. work contributes existing body knowledge identifying most influencing across globe. stakeholders involved delivery can prepare strategies enhancing based on research.

Language: Английский

Citations

6

A hierarchical federated learning framework for collaborative quality defect inspection in construction DOI
Haitao Wu, Heng Li, Hung-Lin Chi

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2024, Volume and Issue: 133, P. 108218 - 108218

Published: March 13, 2024

Language: Английский

Citations

6

The effect of augmented reality applied to learning process with different learning styles in structural engineering education DOI
Pengkun Liu,

Zhewen Yang,

Jing Huang

et al.

Engineering Construction & Architectural Management, Journal Year: 2024, Volume and Issue: unknown

Published: March 13, 2024

Purpose The purpose of this study is to scrutinize the influence individual learning styles on effectiveness augmented reality (AR)-based in structural engineering. There has been a lack research examining correlation between efficiency and style, particularly context quantitatively assessing efficacy AR engineering education. Design/methodology/approach Using Kolb’s experiential theory (ELT), model that emphasizes through experience, students from construction management department are assigned four (converging, assimilating, diverging accommodating). Performance data were gathered, appraised, compared three dimensions Knowledge, Attitude Practices (KAP) survey across categories both text-graph (TG)-based AR-based settings. Findings findings indicate materials positively impact education by enhancing overall performance more than TG-based materials. It also found style profound effectiveness, with technology markedly improving information retrieval processes, for converging assimilating learners, then less significant accommodating learners. Originality/value These results corroborate prior analyzing learners' outcomes hypermedia informational systems. was learners an “abstract” approach (convergers assimilators) outperform those “concrete” (divergers accommodators). This importance considering before integrating technologies into civil education, thereby assisting software developers educational institutions creating effective teaching tailored specific styles.

Language: Английский

Citations

6

High-level implementable methods for automated building code compliance checking DOI Creative Commons
Jin-Kook Lee, Kyunghyun Cho,

Hyeokjin Choi

et al.

Developments in the Built Environment, Journal Year: 2023, Volume and Issue: 15, P. 100174 - 100174

Published: May 23, 2023

This paper presents an approach for defining high-level implementable methods to improve their low-level rule-checking procedures. is part of effort develop challenging building information modeling (BIM)-enabled applications permits through automated code compliance checking. The main described here aims alleviate the time-consuming and error-prone tasks translating natural language into explicitly defined rules. An explicit expression design requirements key projects involving collaboration between architects, experts, developers. To maximize generalization, neutralization, reusability given rules in (written) language, we propose a series computer programming (operators); these can be beneficial verb phrases act sentences with minimal ambiguity as well representing peculiar properties objects without conflicts. Lastly, demonstrate its application checking by employing KBimCode developed software.

Language: Английский

Citations

12

Decoding BIM Adoption: A Meta-Analysis of 10 Years of Research—Exploring the Influence of Sample Size, Economic Level, and National Culture DOI Creative Commons
Kaiyang Wang, Min Guo,

Luigi Di Sarno

et al.

Buildings, Journal Year: 2024, Volume and Issue: 14(4), P. 920 - 920

Published: March 27, 2024

In recent years, some studies have explored the determinants of Building Information Modeling (BIM) adoption. However, findings these are varied and sometimes contradicting. Consequently, this study undertakes an in-depth exploration relationship between influencing factors behavioral intention. This analysis is achieved through a synthesis from prior empirical studies, considering nuanced impacts specific contextual factors, including sample size, national culture, economic level, on relationships. total, meta-analysis encompasses 57 articles, as 31 December 2023, incorporates 63 datasets comprising collective size 13,301. An extended Unified Theory Acceptance Use Technology (UTAUT) model was developed based most frequently studied constructs relevant to BIM The reveals that adoption primarily affected by performance expectancy, social influence, facilitating conditions, effort perceived value. moderator indicates statistically significantly moderates relationships conditions use behavior. Moreover, extent individualism in each culture associations user research serves enrich existing body literature acceptance addressing contradictory mixed results found studies. It represents one first attempts explore influence Hofstede’s six cultural dimensions moderators field utilizing meta-analytic techniques.

Language: Английский

Citations

4

Improving the procedure for interaction between participants in the construction control system in order to increase labor productivity DOI
Azariy Lapidus, Тatyana Kuzmina, Polina Bolshakova

et al.

Construction Materials and Products, Journal Year: 2024, Volume and Issue: 7(4), P. 1 - 1

Published: Aug. 9, 2024

In connection with the current demand for reducing implementation of investment and construction projects, there is a need to determine risks that affect duration. Within framework building works, risk various destabilizing factors arising, leading economic losses increased period, consequently decrease in labor productivity. Existing administrative barriers, maintaining coordinating large amount executive documentation leads high costs resources. this regard, work optimized functioning control system. The study identified influence A rational procedure carrying out capital projects has been determined. used such methods as: method expert assessments, statistical data analysis, Varimax rotation method. results were introduced into activities organization performing functions developer at stage objects. As result, interaction between participants system formed, which allows increasing

Language: Английский

Citations

4

Applications of Digital Technologies in Promoting Sustainable Construction Practices: A Literature Review DOI Open Access
Yuanyuan Li, Xiujuan Zhao, Chunlu Liu

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(2), P. 487 - 487

Published: Jan. 10, 2025

In recent years, the applications of digital technologies in sustainable construction have gained increasing interest. However, no comprehensive literature review has been conducted. Thus, this paper analyzes 990 relevant articles regard published from 2014 to 2023 by using CiteSpace (version 6.3.R1) and HistCite Pro 2.1) identifies most influential journals, institutions, regions. The knowledge base was detected through a cluster analysis, which concentrates more on seven core themes: barriers, energy efficiency building performance, life cycle assessment, computer vision, renovation, sustainability management. A citation analysis revealed that were based four dimensions construction: environmental, social, economic performance green assessment are current hotspots. Finally, potential future research trends field proposed: (1) strengthening application technologies; (2) expanding use Operation Maintenance (O & M) demolition phases; (3) deepening multi-objective optimization; (4) exploring how overcome obstacles. findings provide highly valuable information for researchers with ideas directions field. This also deepen practitioners’ comprehension optimal bolstering sustainability.

Language: Английский

Citations

0

Assessing construction safety risks in large urban complex projects: an interval ordinal priority approach DOI
Linlin Xie, Ziyi Yu, Xianbo Zhao

et al.

Engineering Construction & Architectural Management, Journal Year: 2025, Volume and Issue: unknown

Published: March 10, 2025

Purpose To meet an ever - increasing urbanization demand, urban complex projects have evolved to form the development type of HOPSCA (an acronym for Hotel, Office, Park, Shopping mall, Convention and Apartment, representing a new complex). Its integrated functions, structures superior siting expose HOPSCA’s construction phase higher more uncertain safety risks. Despite this, research on risks large complexes is scarce. This study addresses this by introducing interval ordinal priority approach (Interval-OPA) method build risk assessment model HOPSCA, targeting its management. Design/methodology/approach initially identifies factors via literature review, field survey three Delphi rounds, forming list projects. Then, Interval-OPA employed create model, validity confirmed through representative case ongoing project. Lastly, uncertainty weighting analyses results identify most probable major accidents, targeted prevention strategies phase. Findings The findings reveal that (1) there are 33 in across 4 aspects: “man-machine-environment-management”; (2) object strikes prominent accidents need be prioritized prevention, especially when managerial arising; (3) falls from heights evaluated with highest level uncertainty, which represents ambiguous area management (4) result evaluation shows nine critical project management-level high uncertainty. explores provides effective measures combat these factors. Originality/value innovatively applies assessment, offering fitting evaluating project’s accidents. aids decision-makers appropriate classification selection scientific strategies, enhances system even benefits all under-construction projects, promoting industry’s sustainable development.

Language: Английский

Citations

0

Clustering techniques and keyword extraction with large language models for knowledge discovery in building defects data DOI Creative Commons

Linda Cusumano,

Nilla Olsson, Mats Granath

et al.

Construction Innovation, Journal Year: 2025, Volume and Issue: 25(7), P. 76 - 97

Published: March 20, 2025

Purpose The construction industry is undergoing a digital transformation and now holds large volumes of building defects data collected during inspections. This study aims to suggest an artificial intelligence-based method for analysing such provide insights knowledge faster than with traditional manual methods. Design/methodology/approach research explores set containing over 34,000 from hospital projects performed in Sweden 2018 2021. mining uses keyword extraction based on both TF-IDF vectorisation k-means clustering, the Mistral 7B model KeyLLM. results are compared content analysis using GPT 3.5 turbo model. organisational project level. Findings paper presents combination methods data. result shows that most common problems reported inspections concern missing fire sealing, jointing subceiling problems. Using clustering gives fast into main defect categories but requires domain knowledge. Keyword LLM longer computational time creates deeper understanding subcategories defects. Finally, GPT-based complement project-specific allow user-specific requests. Research limitations/implications digitally Swedish projects. However, methodology can be applied other data, as safety warranty focused solely text Originality/value suggested this techniques Large Language Models value proposed process leveraging amounts unstructured reports, moisture issues.

Language: Английский

Citations

0