Managing the corruption risk at the operation and maintenance stage in the construction projects in Iraq

With the purpose of clarifying the energy-saving influencing factors of the participants in the construction project, qualitative analysis and scientific measurement analysis were combined in this paper to define and identify the energy-saving influencing factors of the construction project lifecycle. First, a qualitative analysis of the research literature of the natural science index (SCI) and social science citation index (SSCI) databases was conducted through a combination of literature analysis and expert interviews, constructing a list of the energy-saving influencing factors in the lifecycle of construction projects. Second, the knowledge map of the energy-saving research literature of construction projects in the past 20 years from the Web of Science (WOS) database was drawn through Citespace. Then the hotspots of energy-saving research in international construction projects were identified through keyword co-occurrence map as energy saving, energy efficiency, and energy consumption. The main research subjects were divided into four categories: energy-saving management and incentive policies, project users’ energy-saving behaviors and awareness, various energy-saving new materials and technologies, and energy-saving management and control at the operation and maintenance stage. Next, nine main clusters on energy-saving research were identified through cluster analysis, mainly distributed in various energy-saving technology research, energy-saving behavior and power research of owners and residents, policy and regulation research, and energy-saving management and control research in the operation and maintenance stage. Finally, the knowledge mapping analysis results were classified and defined according to the action scope of each stage of the construction project, and the identification of the energy-saving influencing factors in the construction project lifecycle was completed.

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A hybrid method for matching analysis of construction project characteristics with operation and maintenance requirements

Engineering Construction & Architectural Management ◽

10.1108/ecam-01-2021-0061 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Guofeng Ma ◽

Zhijiang Wu ◽

Ming Wu ◽

Shanshan Shang

Keyword(s):

Construction Project ◽

Influential Factors ◽

Order Parameters ◽

Content Type ◽

Operation And Maintenance ◽

Maintenance Stage ◽

Project Characteristics ◽

Correlation Strength ◽

Maintenance Requirements ◽

The Cost

PurposeThe purpose of this study is to extract the real requirements of the owner (or users) for the construction project in the operation and maintenance stage completely and accurately and carry out the construction based on the requirements, to make the project status and operation and maintenance requirements (RO&M) consistent after delivered.Design/methodology/approachThis study creatively proposes the operation and maintenance functions deployment (OMFD) under RO&M. In addition, the OPAR (naming is made up of the initials of owners, project, analysis and result) model is constructed to fully identify the requirements of both owners and projects. In this study, three typical construction projects are taken as examples to calculate the correlation strength between project characteristics (PC) and operation and maintenance requirements through the Apriori algorithm, and order parameters are obtained from the cost chain.FindingsThis study found that there are significant differences in the correlation strength between 11 types of RO&M and PC, in which the “cost of types” (TC) correlation of residential housing and factory buildings is the largest, while the largest correlation demand of commercial buildings is “safety of types” (TS) and “system” (S). Simultaneously, through the calculation of order parameters, the most influential factors on project characteristics are obtained.Practical implicationsThis study could effectively help the owner (or users) to check whether the delivered project fully satisfy their real requirements and also extract the key technical points to realize RO&M, which can guide the accurate construction of the same type of projects.Originality/valueThis research establishes OPAR model to accurately identify the requirements of the project in the operation and maintenance stage and establishes the association rules between the requirements and the construction scheme, which is helpful for the project to construct under the expected requirements.

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Intelligent Prediction Method for Operation and Maintenance Safety of Prestressed Steel Structure Based on Digital Twin Technology

Advances in Civil Engineering ◽

10.1155/2021/6640198 ◽

2021 ◽

Vol 2021 ◽

pp. 1-17

Author(s):

Zhansheng Liu ◽

Antong Jiang ◽

Anshan Zhang ◽

Zezhong Xing ◽

Xiuli Du

Keyword(s):

Steel Structure ◽

Virtual Space ◽

Safety Risk ◽

Digital Twin ◽

Whole Process ◽

Twin Model ◽

Operation And Maintenance ◽

Maintenance Stage ◽

Prestressed Steel Structure ◽

Whole Life Cycle

The operation and maintenance stage of the long-span prestressed steel structure is the core link of the whole life cycle. At present, there are few studies on the change law of safety risk in the whole process of operation and maintenance, especially the research on the analysis and prediction of the change law of safety risk in the whole process of structural operation and maintenance by effectively using the abundant monitoring data and relevant safety risk information in the operation and maintenance stage, which also affects the prestressed steel, which also affects the efficiency of judgment and control decision-making of operation and maintenance safety state of prestressed steel structure. Taking the spoke-type cable truss as an example, this paper proposes a new concept of integrating the digital twin model (DTM) with steel structure operation and maintenance safety. Through the combination of real physical space dimensions and digital virtual space dimensions, it is based on a hypothetical analysis model. In the above, a theoretical framework is proposed, and a case analysis of a prestressed steel structure is carried out from big data, and the feasibility of applying this method in the prestress loss and uneven rain and snow load conditions is evaluated. This method can provide guidance for operation and maintenance management and formulate strategies in time.

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Life Cycle Cost, Energy and Carbon Assessments of Beijing-Shanghai High-Speed Railway

Sustainability ◽

10.3390/su12010206 ◽

2019 ◽

Vol 12 (1) ◽

pp. 206 ◽

Cited By ~ 5

Author(s):

Sakdirat Kaewunruen ◽

Jessada Sresakoolchai ◽

Junying Peng

Keyword(s):

Life Cycle ◽

Energy Consumption ◽

Carbon Emissions ◽

Life Cycle Cost ◽

High Speed ◽

Construction Stage ◽

High Speed Railway ◽

Operation And Maintenance ◽

Maintenance Stage ◽

The Cost

The Beijing-Shanghai High-Speed Railway (HSR) is one of the most important railways in China, but it also has impacts on the economy and the environment while creating social benefits. This paper uses a life cycle assessment (LCA) method and a life cycle cost (LCC) analysis method to summarize the energy consumption, carbon emissions and costs of the Beijing-Shanghai HSR from the perspective of life cycle, and proposes some corresponding suggestions based on the results. The research objective of this paper is to analyse the carbon emissions, energy consumption, and costs of the rail system which includes the structure of the track and earthwork of the Beijing-Shanghai HSR during four stages: conception stage, construction stage, operation and maintenance stage, and disposal stage. It is concluded that the majority of the carbon emissions and energy consumption of the entire rail system are from the construction stage, accounting for 64.86% and 54.31% respectively. It is followed by the operation and maintenance stage with 31.60% and 35.32% respectively. In contrast, the amount of carbon emissions and energy consumption from the conception stage is too small to be considered. Furthermore, cement is the major contributor to the carbon emissions and energy consumption during the construction stage. As for the cost, the construction stage spends the largest amount of money (US$4614.00 million), followed by the operation and maintenance stage (US$910.61 million). Improving production technologies and choosing construction machinery are proposed to reduce the cost and protect the environment.

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A BIM-LCA Approach for Estimating the Greenhouse Gas Emissions of Large-Scale Public Buildings: A Case Study

Sustainability ◽

10.3390/su12020685 ◽

2020 ◽

Vol 12 (2) ◽

pp. 685 ◽

Cited By ~ 12

Author(s):

Baoquan Cheng ◽

Jingwei Li ◽

Vivian W. Y. Tam ◽

Ming Yang ◽

Dong Chen

Keyword(s):

Life Cycle ◽

Greenhouse Gas Emissions ◽

Greenhouse Gas ◽

Large Scale ◽

Green Building ◽

Operation And Maintenance ◽

Building Assessment ◽

Maintenance Stage ◽

Whole Life Cycle

Exiting green building assessment standards sometimes cannot work well for large-scale public buildings due to insufficient attention to the operation and maintenance stage. This paper combines the theory of life cycle assessment (LCA) and building information modeling (BIM) technology, thereby proposing a green building assessment method by calculating the greenhouse gas emissions (GGE) of buildings from cradle to grave. Life cycle GGE (LCGGE) can be divided into three parts, including the materialization stage, the operation and maintenance stage, and the demolition stage. Two pieces of BIM software (Revit and Designbuilder) are applied in this study. A museum in Guangdong, China, with a hot summer and warm winter is selected for a case study. The results show that BIM can provide a rich source of needed engineering information for LCA. In addition, the operation and maintenance stage plays the most important role in the GGE reduction of a building throughout the whole life cycle. This research contributes to the knowledge body concerning green buildings and sustainable construction. It helps to achieve the reduction of GGE over the whole life cycle of a building. This is pertinent to contractors, homebuyers, and governments who are constantly seeking ways to achieve a low-carbon economy.

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An assessment on the parallel impacts of building information modeling and big data on project operation and maintenance

MATEC Web of Conferences ◽

10.1051/matecconf/201927602002 ◽

2019 ◽

Vol 276 ◽

pp. 02002

Author(s):

Masoud Shayganmehr ◽

Ehsan Saghatforoush

Keyword(s):

Big Data ◽

Construction Projects ◽

Building Information Modeling ◽

Information Modeling ◽

Rfid Tags ◽

Operation And Maintenance ◽

Building Information ◽

The Common ◽

Common Problems ◽

And Performance

Operation and maintenance challenges have always been pronounced in construction projects. Many solutions have been proposed to mitigate the common problems but the solution are not sufficient to get over the challenges, therefore, many software-based concepts such as Building Information Modeling have been unveiled to evaluate the construction prior to initiating the project and envision the potential challenges which exist on the way. For higher accuracy IT solutions can be accompanied with Building Information Modeling to leverage the performance and precision of modeling such as Big Data, data mining and even RFID tags, this paper aims to carry out an in-depth literature review on how BIM alongside with Big Data solutions have parallel impacts into higher efficiency and performance of operation and maintenance in construction projects.

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Green Cleaning: A Study on Benefits for Malaysian School Building

MATEC Web of Conferences ◽

10.1051/matecconf/201926601008 ◽

2019 ◽

Vol 266 ◽

pp. 01008

Author(s):

Nur Aqlima Ramli ◽

Emma Marinie Zawawi ◽

Nor Rima Muhamad Ariff ◽

Siti Solehah Kadir ◽

Nurul Nadiah Zainol

Keyword(s):

Indoor Air ◽

Significant Contribution ◽

Negative Impact ◽

Good Time ◽

Healthy Environment ◽

Operation And Maintenance ◽

Importance Index ◽

Green Cleaning ◽

Volatile Organic ◽

Maintenance Stage

Cleaning is one of the important activities during the operation and maintenance stage to any type of core business. Schools nowadays are looking seriously at the cleaning aspect as they realize the availability of health and environmentally friendly facilities that encourage academic performance and staff welfare. These concerns are due to the conventional cleaning practices and products used to keep the school clean. The cleaning contractors are responsible to understand that chemicals with high levels of volatile organic compound (VOCs) emissions and other carcinogens plus dust from poorly filtered vacuums can have a negative impact on the health of students, staff and janitors. Thus, it is a good time for the building managers to make a move to green cleaning practice in school, as a rising number of green cleaning products that are much more effective are available. This study was hence conducted to identify the critical benefits that can be gained through the implementation of green cleaning practice in Malaysian school. Twelve benefits were identified from the literature, and a questionnaire survey that involved green cleaning experts was carried out. Frequency analysis and Importance Index calculation were performed to rank the benefits. The result indicates that “improve indoor air quality (IAQ)” and “provide a safe and healthy environment to occupants and janitors” are the most important benefits of green cleaning practice during operation and maintenance stages in Malaysian school. The findings of this study can provide a significant contribution to the built environment industry. By knowing the benefits that can be gained through green cleaning implementation, efforts can be carried out to explore measures that can be taken to implement the green cleaning practice in Malaysian school or other types of building.

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Application Analysis of Vector Model and GIS System Data in the Substation Engineering Entire Life-cycle

E3S Web of Conferences ◽

10.1051/e3sconf/202129402001 ◽

2021 ◽

Vol 294 ◽

pp. 02001

Author(s):

Kaihang Sun ◽

Xinze An ◽

Shunkai Feng

Keyword(s):

Geographic Information ◽

Vector Model ◽

Design Stage ◽

3D Design ◽

Model Library ◽

Operation And Maintenance ◽

Maintenance Stage ◽

System Data ◽

Gis System ◽

And Storage

With the further popularization of 3D design in substation engineering, the previous works provide lots of data foundations for digital operation and maintenance. Different from the editing requirements of the model in the design stage, higher requirements are put forward for the corresponding speed of the model and the bearing capacity of the graphics platform in the operation and maintenance stage. At present, the application methods of model library are mainly based on geographic information data (GIS) and vector graphics platform. In this paper, the model data are analysed and compared from the dimensions of analytic speed, graphic effect, operation efficiency, integrity and storage space, etc. The graph platform based on geographic information data can better support the application of the model in operation and maintenance stage.

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