Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
3.1
3.8
Journals
Buildings
Special Issues
Advances in Life Cycle Management of Civil Engineering
share announcement

Advances in Life Cycle Management of Civil Engineering

A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Construction Management, and Computers & Digitization".

Deadline for manuscript submissions: 30 June 2024 | Viewed by 2727

Special Issue Editors

Prof. Dr. Junwu Wang

E-Mail Website
Guest Editor
School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan 430070, China
Interests: construction safety; BIM; digital twins; soft computing in civil engineering; uncertainty analysis; PPP; engineering vulnerability management; life cycle management of complex engineering
Dr. Han Wu

E-Mail Website
Guest Editor
School of Infrastructure Engineering, Nanchang University, Nanchang 330031, China
Interests: construction safety management; construction enterprise management; cost-duration optimization analysis; uncertainty analysis in civil engineering: application of artificial intelligence in civil engineering
Special Issues, Collections and Topics in MDPI journals
Dr. Zhangsheng Liu

E-Mail Website
Guest Editor
College of City Construction, Jiangxi Normal University, Nanchang 330022, China
Interests: resources; environment and sustainable development

Special Issue Information

Dear Colleagues,

Lifecycle Management (LCM) for civil engineering is key to ensuring the long-term value and sustainability of engineerings. However, the global construction industry is currently undergoing a rapid development phase, with incessant innovations in technology, management, and materials presenting new challenges to civil engineering. Researching innovative strategies and tools for LCM is crucial in enhancing project management efficiency, reducing resource consumption, lowering environmental pollution, ensuring structural safety, optimizing the overall cost of projects (particularly long-term costs), and responding to global challenges (such as accelerated urbanization, climate change, and resource scarcity). This special issue aims to gather experts from academia and industry to share their novel methods, strategies, and practical experiences in advancing more efficient, safe, environmentally friendly, and sustainable development in civil engineering. We hope that these contributions will offer new perspectives and solutions for optimizing management at all or specific stages of a project’s lifecycle. Both research and review papers are welcome.

This special issue focuses on exploring LCM of civil engineering projects from design and planning through to construction, operation, and maintenance, and up to decommissioning. The call for papers covers but is not limited to the following topics:

  1. Whole lifecycle cost analysis in civil engineering;
  2. New project management strategies oriented towards LCM;
  3. Innovative strategies for durable design;
  4. Applications of emerging technologies and materials in the maintenance and repair of structures;
  5. New applications of BIM and digital twin technologies in LCM;
  6. New applications of smart devices and sensor technologies in construction monitoring and maintenance;
  7. New strategies for green construction and sustainable management;
  8. New tools for risk management and decision support in civil engineering projects;
  9. Innovative strategies for resilience and adaptability management in civil engineering projects;
  10. New strategies for LCM management at the corporate level of construction enterprises.

Prof. Dr. Junwu Wang
Dr. Han Wu
Dr. Zhangsheng Liu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Buildings is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • cost and duration analysis in LCM
  • durable design in LCM
  • construction enterprise management
  • digital twins and BIM
  • smart devices and sensor technologies
  • soft computing in civil engineering
  • uncertainty analysis in LCM of civil engineering
  • risk management in LCM of civil engineering
  • decision support in LCM of civil engineering
  • green construction and sustainable management

Published Papers (4 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

18 pages, 1970 KiB  
Article
Dynamic Bayesian Network-Enabled Approach for Organizational Leadership Measurement of Complex Construction Projects
by Hao Shen, Lan Luo, Xiaoxuan Niu, Chengqian Fu and Yujie Han
Buildings 2024, 14(4), 1123; https://doi.org/10.3390/buildings14041123 - 17 Apr 2024
Viewed by 342
Abstract
Complex construction projects are characterized by a large scale, high dynamics, many unknown risks, high complexity, etc., which often result in serious consequences, such as schedule delays, cost overruns, and uncontrolled objectives. Organizational leadership, which can be dynamically adjusted to the changes in [...] Read more.
Complex construction projects are characterized by a large scale, high dynamics, many unknown risks, high complexity, etc., which often result in serious consequences, such as schedule delays, cost overruns, and uncontrolled objectives. Organizational leadership, which can be dynamically adjusted to the changes in the external environment, is the most important management ability of project managers. Therefore, it is of great significance to systematically analyze organizational leadership for the management of complex construction projects. In this paper, through the dynamic Bayesian method, the influencing factors of organizational leadership of complex construction projects and its dynamic development law are studied in depth. First, 17 organizational leadership factors are identified. Second, a dynamic Bayesian measurement model of organizational leadership was developed using 128 training samples. Third, the developed measurement model was applied for model analysis. The results of the study are as follows. (1) This study models changes in organizational leadership influences over time. (2) The organizational leadership measurement model proposed in this study can be applied in practice to predict leadership trends in specific projects. (3) Leaders should pay more attention to management competence in the personal leadership dimension, culture building in the relational leadership dimension, and institutional support in the strategic leadership dimension. This study proposes a quantifiable model for project leaders that breaks through the traditional model of studying organizational leadership from a static perspective, provides a quantifiable model for project leaders, and can cope with the dynamics of actual projects so that project leaders can control the whole leadership process macroscopically, thus providing an important reference to improve the organizational leadership capacity of complex construction projects. Full article
(This article belongs to the Special Issue Advances in Life Cycle Management of Civil Engineering)
►▼ Show Figures

Figure 1

21 pages, 1293 KiB  
Article
Safety Risk Analysis of Urban Viaduct Construction Based on Dynamic Weight
by Ruijiang Ran, Shengmin Wang, Jun Fang and Yajie Wang
Buildings 2024, 14(4), 1014; https://doi.org/10.3390/buildings14041014 - 05 Apr 2024
Viewed by 456
Abstract
The safety risk analysis of urban elevated bridge construction is an important management method to reduce the loss of safety accidents, and it has significant scientific research value and engineering application value. Therefore, this study proposes a novel analysis method to address these [...] Read more.
The safety risk analysis of urban elevated bridge construction is an important management method to reduce the loss of safety accidents, and it has significant scientific research value and engineering application value. Therefore, this study proposes a novel analysis method to address these challenges. Firstly, this paper constructs a Work Breakdown Structure (WBS)–Risk Breakdown Structure (RBS) matrix for the safety risk of urban elevated bridge construction in order to achieve a comprehensive and complete identification of the indicator system. Then, a combination of static weights and dynamic weights calculation methods is developed. The static weights are obtained using the analytic hierarchy process, while the dynamic weights are obtained based on the relationship between the dynamic scores of construction safety risk indicators in different construction stages and the preset evaluation levels. Finally, a case study of the Longlingshan elevated bridge project in Wuhan, China, is conducted to validate the feasibility of the proposed model and its potential application in projects. The case analysis for the first time reveals that with the progress of construction, the weights of each indicator continuously change, and the secondary indicators related to environmental factors, such as extreme high-temperature weather, undergo the greatest changes. A comparison of different dynamic weight calculation methods is conducted to highlight the advancement of the proposed model. The research findings of this paper will provide new insights and guidance for improving the construction safety of urban elevated bridge projects. Full article
(This article belongs to the Special Issue Advances in Life Cycle Management of Civil Engineering)
►▼ Show Figures

Figure 1

23 pages, 2894 KiB  
Article
Data-Driven Dynamic Bayesian Network Model for Safety Resilience Evaluation of Prefabricated Building Construction
by Junwu Wang, Zhao Chen, Yinghui Song, Yipeng Liu, Juanjuan He and Shanshan Ma
Buildings 2024, 14(3), 570; https://doi.org/10.3390/buildings14030570 - 21 Feb 2024
Cited by 1 | Viewed by 609
Abstract
Due to factors such as the availability of assembly equipment, technology, and site management level, prefabricated building construction safety accidents often occur. To ensure the safety of prefabricated buildings and effectively reduce the accident rate, the concept of resilience is introduced into the [...] Read more.
Due to factors such as the availability of assembly equipment, technology, and site management level, prefabricated building construction safety accidents often occur. To ensure the safety of prefabricated buildings and effectively reduce the accident rate, the concept of resilience is introduced into the safety management of prefabricated buildings. Based on the resilience absorption capacity, adaptation capacity, recovery capacity, and optimization capacity, a comprehensive evaluation index system for the safety resilience of prefabricated buildings is established. By combining prior knowledge with structural learning and parameter learning, a dynamic Bayesian network (DBN) model is constructed to dynamically evaluate the safety resilience of prefabricated buildings. Through forward causal reasoning and backward diagnostic reasoning, the dynamic safety resilience value of prefabricated buildings and the chain of maximum failure causes are obtained. Finally, by conducting a sensitivity analysis on the target nodes, the key influencing factors of the safety resilience of prefabricated construction are identified, and improvement suggestions for enhancing resilience are proposed. The results indicate that establishing a resilience safety culture, preventing unsafe behaviors of personnel, safety management, and supervision on the construction site, emergency management actions, and building a risk management information system are crucial factors influencing the safety resilience of prefabricated buildings. The enhancement of absorption capacity has the greatest impact on the safety resilience of prefabricated buildings. Full article
(This article belongs to the Special Issue Advances in Life Cycle Management of Civil Engineering)
►▼ Show Figures

Figure 1

14 pages, 814 KiB  
Article
A Study of Factors Influencing Construction Workers’ Intention to Share Safety Knowledge
by Yujie Mei, Jianping Huang, Jianqiang Liu and Lu Jia
Buildings 2024, 14(2), 440; https://doi.org/10.3390/buildings14020440 - 05 Feb 2024
Cited by 1 | Viewed by 714
Abstract
There is a growing body of research on the factors influencing individual knowledge-sharing behavior, but the exploration of knowledge sharing in the construction industry is still in its infancy. Based on the theory of planned behavior (TPB), this paper introduced factors from the [...] Read more.
There is a growing body of research on the factors influencing individual knowledge-sharing behavior, but the exploration of knowledge sharing in the construction industry is still in its infancy. Based on the theory of planned behavior (TPB), this paper introduced factors from the social exchange theory (SET) to develop a comprehensive model for exploring the intention of construction workers to share their safety knowledge. Data were collected from a total of 329 construction workers at five sites. Using the structural equation model method, the research model and path hypotheses of this study were analyzed. The results showed that altruism, trust, and reputation positively influenced the construction workers’ attitude towards sharing safety knowledge. Attitude, safety training, organizational climate, and knowledge-sharing self-efficacy could increase the construction workers’ intention to share their safety knowledge. However, the relationship between workers’ attitudes towards safety knowledge sharing and anticipated extrinsic rewards was not significant. Through identifying the factors underlying workers’ intention to share safety knowledge in the construction industry, the study helps to further understand the influencing factors and mechanisms of safety knowledge sharing willingness among the special group of construction workers and provides practical implications for engineering managers to strengthen construction safety management from the perspective of knowledge sharing. Full article
(This article belongs to the Special Issue Advances in Life Cycle Management of Civil Engineering)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-4
Back to TopTop