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Background
Deep excavations in urban areas have the potential to cause unfavorable effects on ground stability and nearby structures. Thus, it is necessary to evaluate and monitor the environmental impact during deep excavation construction processes. Generally, construction project teams will set up monitoring instruments to control and monitor th...
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Citations
... The methods used for design are studied for clay or sandy ground, so it is difficult to predict wall displacement under various ground conditions. During construction, the stability of the Earth retaining wall is evaluated by the wall displacement measured by instrumentation (Ran et al., 2011;Fearnhead et al., 2014;Wu et al., 2015). However, there is a difference between the predicted displacement and the actual displacement during construction due to the fundamental problem that the methods proposed by conventional researches cannot properly describe the site conditions with various characteristics (Dmochowski and szolomicki 2021). ...
This study aims to identify and evaluate the significance of the key design factors that impact the stability of Earth retaining wall anchor-supported structures during excavations in urban areas. Although there are many previous studies on the deformation of Earth retaining walls during excavation, there is a lack of verification studies that quantitatively examine the stability of various influencing factors such as wall, ground characteristics, and external influencing factors. To this end, finite-element analyses were conducted, and their results were compared and validated with field measurements. These comparisons demonstrated that the numerical modeling technique employed in this study effectively simulates the wall’s behavior under excavation conditions. Subsequently, the impact of the main design factors, including ground properties, external conditions, and structural stiffness, on the behavior of the wall was quantitatively assessed by applying variation ratios. The findings indicate that the horizontal displacement of the wall, induced by excavation, is significantly dependent on the unit weight and shear strength of the soil. Conversely, the groundwater level location, surcharge load, and structural stiffness exhibit a relatively minor effect. Finally, the variability of the main design parameters was investigated, considering the specific ground layer where the wall is installed, revealing distinct influences of these variables across different ground layers. Consequently, it is expected that the importance of the influencing geotechnical factors will be selected and used for predicting the behavior of Earth retaining walls and actual design, which will help to efficient wall design.
... Similarly, students were primary target groups in two articles (Bhagwat et al., 2021;Clevenger et al., 2015). While owners were mentioned twice as secondary target groups (Arslan et al., 2019c;Wu et al., 2015). This preprint research paper has not been peer reviewed. ...
... Khan et al., 2019;M. Li et al., 2018;Liang & Liu, 2022;Tian et al., 2021;Wu et al., 2015;Xie et al., 2022;Xun et al., 2022;L. Zhang et al., 2016;. ...
... Similarly, AutoCAD was also used three times ; M. S. Khan et al., 2021;Tak et al., 2021). Whereas, Bentley AECOsim Building Designer was used only once (Wu et al., 2015). ...
... Comparing with the research documents of safety management based on BIM [37][38][39], it is the first time focusing on the information integration and exchange for the safety risk identification of deep excavation construction based on IFC in this research work. This research presents an approach of automatic construction risk identification aiming at the entire deep excavation process, based on the extended IFC model. ...
Safety risk identification throughout deep excavation construction is an information-intensive task, involving construction information scattered in project planning documentation and dynamic information obtained from different field sensors. However, inefficient information integration and exchange have been an important obstacle to the development of automatic safety risk identification in actual applications. This research aims to achieve the requirements for information integration and exchange by developing a semantic industry foundation classes (IFC) data model based on a central database of Building Information Modeling (BIM) in dynamic deep excavation process. Construction information required for risk identification in dynamic deep excavation is analyzed. The relationships among construction information are identified based on the semantic IFC data model, involved relationships (i.e., logical relationships and constraints among risk events, risk factors, construction parameters, and construction phases), and BIM elements. Furthermore, an automatic safety risk identification approach is presented based on the semantic data model, and it is tested through a construction risk identification prototype established under the BIM environment. Results illustrate the effectiveness of the BIM-based central database in accelerating automatic safety risk identification by linking BIM elements and required construction information corresponding to the dynamic construction process.
... The focus of the paper is also on specific road elements modeling from guardrails and retaining walls etc. by utilizing the Revit and Subassembly Composer and the interoperability is also analyzed among BIM-based tools. In this paper, the unfavorable effects are caused by the deep excavations in urban areas on ground stability [15]. The environmental impact is required to evaluate and monitor during deep excavation construction processes. ...
Building Information Modeling (BIM) technology has been widely used in the construction industry, especially in the field of civil construction. BIM standards, basic software and management platforms are relatively mature. The urban rail transit projects are linear projects, they not only span long lines, multiple regions, involve multiple disciplines, and are difficult to coordinate, but also have complex surrounding environments and high safety requirements. Therefore, their needs for integrated construction and operation applications are more concentrated. In order to solve the problems of data isolation, single display form, abnormal situation notification and delayed processing in urban rail transit construction monitoring, combined with GIS+BIM technology, a complete set of construction monitoring information management process and data organization plan is proposed, and the development is oriented. The construction monitoring system of project construction management focuses on solving the problems of the integration, display, early warning and secondary early warning of construction monitoring data. The system realizes the functions of input, storage, processing, three-dimensional display and early warning of measuring point information and daily measurement information. It is integrated with the GIS+BIM management and control platform, and the project is carried out in the construction project of Qingdao Rail Transit Line 8. Application, interact with functions such as model browsing, schedule control, engineering quantity management, video monitoring, etc., to improve the management efficiency and safety quality level of on-site construction.The mainstream GIS and BIM data based research on construction monitoring data standards promote the in-depth integration of construction monitoring data and improve the data entry and association efficiency.
... To recognize hazardous conditions and protect workers from possible injuries and catastrophic events, sites need to be constantly monitored in light of safety inspection and surveillance. BIM can regulate the safety of construction sites (Wu, Lu, and Hsiung 2015). In the construction site performance evaluation, integrated systems with Bluetooth Low-Energy (BLE)-based position tracking technology, BIM-based hazard identification and a cloud-based communication network will assist and potentially improve site safety (Park, Kim, and Cho 2017). ...
The earlier so-called "brick and mortar" industry is entering the digital era. Digitization in the construction industry gives efficient and effective ways to manage several construction aspects such as scheduling, cost, quality, information, and documentation leading to improved productivity. Along with these aspects, safety management also needs special attention in terms of digitalization, for a safer, more efficient, and productive work environment on construction sites. The Indian construction industry is known as labour intensive industry, which employs approximately 32 million of labour. The cost spent on the labour is 30% to 50% of the total project cost. Still, the labours are given the least attention in the construction sector. The bar of onsite construction accidents in India is rising at a rapid pace and it shows that current safety practices are insufficient. To manage the smooth and safer working of labour force and to reduce on-site accidents, conventional safety practices need to be replaced with advanced and digitalized safety practices. Building Information Modeling (BIM) is believed as the most prominent process that is supported by various tools, technologies for digital representations of physical and functional characteristics of a construction project. This study explores the comprehensive review of existing literature in the line of work of utilization of BIM for site safety. For the selection of literature, a well-defined methodology is adopted. It includes scientometric analysis followed by screening of the obtained results to review the most relevant literature in BIM for safety. Outcome of undertaking an extensive review would help to understand potentials of BIM for safety management, prerequisites needed to implement BIM for safety, its adoption process and also identify areas where additional research will benefit the future integration of BIM and site safety
... It has been used to visualize information and decision support. Existing research has applied it to fire rescue (Chen et al. 2018), risk warning (Sun et al. 2015), and engineering monitoring (Wu et al. 2015). In recent years, many studies have been carried out to apply BIM to construction project management, especially integrating BIM technology and Geographic Information System (GIS). ...
Timely assessment of the structural safety status of water diversion projects and taking necessary preventive measures are the primary conditions to ensure the safe operation of large-scale diversion structures. This paper proposes an integrated visualization framework based on the Building Information Model (BIM) to support the safety management of water diversion projects. The framework integrates data collection, data analysis, warning issuance, and emergency disposal into an integrated platform, which improves the automation level of safety management and the efficiency of emergency response. On this basis, a prototype system is developed and implemented in a water diversion project in Henan Province, China. The prototype of the system can automatically evaluate the structural safety status of water diversion structures, issue corresponding warnings to managers, and provide visual prompts to support decision-making. The system prototype and its demonstration verify the applicability and effectiveness of the framework.
... Wu, Lu and Hsiung, [15] Developed a Building Information Modelling (BIM)-based monitoring system to integrate and visualize the monitoring data for risk assessments during urban deep excavation projects. The system accurately visualized the location of monitoring instruments in the BIM system and provided the data requirement to assess the ground settlement by using numerical analysis. ...
... e system can implement the release, visualization, and real-time alarm warning functions, which is of great significance to construction safety management and risk control [20]. Wu et al. developed a BIM-based monitoring system to integrate and visualize monitoring data for risk assessment during urban deep excavation [21]. Ding et al. developed a visual and information-rich management system by using the building information modeling (BIM) and web technology to establish a risk management framework [22]. ...
When several adjacent foundation pits are excavated simultaneously and alternately, the foundation pit group has the interactions which will aggravate the excavation-induced adverse impact on surrounding environment. However, due to the massive construction information and monitoring data during excavation, the effect of interactions on performance of the foundation pits is hardly examined. In this study, a digital system is developed to manage the construction information and monitoring data of the foundation pit group. On the one hand, a visualization management system based on Autodesk Revit is developed to record information such as geometry information, excavation stages, and instrument layout. The complex construction information can be inquired dynamically. On the other hand, a dynamic and synchronous analysis system is developed based on SQL Server external database, Visio, and Excel software. The SQL Server software is capable to facilitate data classification and standardization management. The excavation process and monitoring data are fused through the secondary development of Visio and Excel software to help visualize, respectively. The developed system is applied to the foundation pit group of Shanghai World Expo Project. The lateral deflection of diaphragm walls is investigated and the rebound phenomenon of diaphragm wall is interpreted. It confirms that the developed system can improve the information management so that the deformation behavior of the foundation pit group can be analyzed efficiently.
... Two articles that addressed BIM use in urban deep excavation projects have been highlighted. The first, (Wu et al [28]), developed a BIM-based monitoring system to integrate and visualize monitoring data for risk assessments during urban deep excavation projects. This system assists construction project teams in identifying and understanding possible blind spots when attempting to achieve risk assessments during urban deep excavation projects and further enables the adoption of measures to reduce risk levels. ...
As a result of the imposed war on Syria since 2011 until now, most Syrian cities have been completely or partly devastated on multiple levels. This urge the needs for developing a comprehensive, balance and sustainable reconstruction strategy. Transportation sector in Syria was subjected to vandalism and systematic destruction. Therefore, the reconstruction strategy should take into account the need to rehabilitate, restore or create vital axes to connect all Syrian cities. Maintaining existed railway lines or constructing new lines require expanding railway stations to meet the expected traffic flow for both passengers and cargo. On the other hand, Building Information Modeling (BIM) has been crystallized as a new technological concept in the construction industry. It is considered a revolution that has transformed the way in which engineering facilities and infrastructures are designed, analyzed, constructed and managed. In such context, the author has applied BIM technology for modeling a real case of railway intermediate station called XiaMen railway station, China. When the modeling process was finished, the station model allows the author to have the needed documentation of station simultaneously. Besides, this model highlights any possible conflicts or design mistakes before the real construction starts. This study makes a novel contribution by providing a new method for 3D digital railway station that motivates designers and contractors to carry out BIM in this vital sector. It paves the way to support the reconstruction phase with modern technologies and its applications.
... More specific solutions were proposed to address particular safety issues. For example, Wu et al. [101] developed a BIM-based monitoring system to support engineers in identifying and assessing risks during urban deep excavation projects. Golovina et al. [102] developed a risk assessment framework based on spatiotemporal global positioning systems (GPS), which provides real-time hazard index heat maps that can proactively visualize struck-by and near-miss interactions between workers-on-foot and equipment. ...
In recent years, the use of new technologies is rapidly transforming the way working activities are managed and carried out. In the construction industry, in particular, the use of Building Information Modelling (BIM) is ever increasing as a means to improve the performances of numerous activities. In such a context, several studies have proposed BIM as a key process to augment occupational safety effectively, considering that the construction industry still remains one of the most hazardous working sectors. The purpose of the present study is to investigate the recent research addressing the use of BIM to improve construction safety. A systematic review was performed considering journal papers that appeared in literature in the last decade. The results showed that the most viable and promising research directions concern knowledge-based solutions, design for safety improvement through BIM solutions, transversal applications of BIM, and dynamic visualization and feedback. The findings of this study also indicated that more practical BIM applications are needed, especially focusing on safety training and education, the use of BIM to augment safety climate and resilience, and the development of quantitative risk analysis to better support safety management. Overall, the study provided a comprehensive research synthesis augmenting knowledge on the role of BIM-based tools in construction safety, which can be considered a reference framework to enhance workers’ safety by means of these new technologies.
