Dataset Information

4D-BIM-Based Workspace Planning for Temporary Safety Facilities in Construction SMEs.

ABSTRACT: Temporary safety facilities (TSFs) are an essential support system providing necessary protection to workers during construction activities, which are targeted towards preventing the occurrence of incidents and accidents at the construction site; however, the schedule and location of installation and demolition of TSFs continue to rely on labor experience, and are often omitted from formal drawings or documents. This results in thousands of accidents in the construction industry, especially in construction small and medium-sized enterprises (SMEs) because of their several limiting factors; therefore, this study proposes automatic workspace planning for TSFs based on construction activities, which is a systematized approach for construction SMEs to practice occupational health and safety (OHS). By using building information modeling (BIM) and add-in algorithm, safety facilities can be simulated and visualized to integrate into the designated workspace. The developed system was implemented utilizing 4D-BIM for TSFs installation and validated with a case study on a residential building project. The result revealed that the visualized TSF produces a better understanding of safety measures with regard to project schedule. Additionally, TSFs workspace planning provides an affordable approach that motivates safety practices among the SMEs; consequently, the effectiveness of construction safety measures and their management is enhanced appreciably.

SUBMITTER: Pham KT

PROVIDER: S-EPMC7277371 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature

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4D-BIM-Based Workspace Planning for Temporary Safety Facilities in Construction SMEs.

Pham Kieu-Trang KT Vu Duc-Nghia DN Hong Phuc Le Hieu PLH Park Chansik C

International journal of environmental research and public health 20200513 10

Temporary safety facilities (TSFs) are an essential support system providing necessary protection to workers during construction activities, which are targeted towards preventing the occurrence of incidents and accidents at the construction site; however, the schedule and location of installation and demolition of TSFs continue to rely on labor experience, and are often omitted from formal drawings or documents. This results in thousands of accidents in the construction industry, especially in c ...[more]

PMID: 32414162

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Project description:Although there is some evidence of improved quality in nursing home care after the implementation of the 1987 Omnibus Budget Reconciliation Act regulations, the nursing processes that contribute to that improvement are not well understood. Assumptions that the mandated tools for resident assessment and care planning account for the change remain uninvestigated.To generate an empirically supported conceptual model of care planning integrity, incorporating five subconstructs: coordination, integration, interdisciplinary team, restorative perspective, and quality.A correlational, model generation-model selection design guided the study. Using a random sample of 107 facilities, the research team combined primary data collected from care planning team members (n = 508) via a telephone survey, with variables extracted from the Medicaid Cost Reports and the Centers for Medicaid and Medicare Services Online Survey, Certification, and Reporting System (OSCAR) database. Primary and alternative models of care planning integrity were examined for fit to the data using structural equation modeling procedures.Using preliminary analyses, 18 observed indicators to represent the five latent subconstructs were identified. Fit indices for the primary model were borderline (comparative fit index =.892; root mean square error of approximation = .048), but were excellent for the alternative model (comparative fit index = .972; root mean square error of approximation = .026). Care planning integrity is demonstrated within nursing facilities through direct relationships with coordination, integration, and quality, and indirect relationships through integration with interdisciplinary team and restorative perspective.Care planning integrity captures differences in the way nursing facilities implement the care planning process, using the mandated standardized tools, that may make a difference in resident outcomes. Subsequent research is indicated to address those dynamics.

Project description:PurposeTo develop a novel four-dimensional (4D) intensity modulated radiation therapy (IMRT) treatment planning methodology based on dynamic virtual patient models.MethodsThe 4D model-based planning (4DMP) is a predictive tracking method which consists of two main steps: (1) predicting the 3D deformable motion of the target and critical structures as a function of time during treatment delivery; (2) adjusting the delivery beam apertures formed by the dynamic multi-leaf collimators (DMLC) to account for the motion. The key feature of 4DMP is the application of a dynamic virtual patient model in motion prediction, treatment beam adjustment, and dose calculation. A lung case was chosen to demonstrate the feasibility of the 4DMP. For the lung case, a dynamic virtual patient model (4D model) was first developed based on the patient's 4DCT images. The 4D model was capable of simulating respiratory motion of different patterns. A model-based registration method was then applied to convert the 4D model into a set of deformation maps and 4DCT images for dosimetric purposes. Based on the 4D model, 4DMP treatment plans with different respiratory motion scenarios were developed. The quality of 4DMP plans was then compared with two other commonly used 4D planning methods: maximum intensity projection (MIP) and planning on individual phases (IP).ResultsUnder regular periodic motion, 4DMP offered similar target coverage as MIP with much better normal tissue sparing. At breathing amplitude of 2 cm, the lung V20 was 23.9% for a MIP plan and 16.7% for a 4DMP plan. The plan quality was comparable between 4DMP and IP: PTV V97 was 93.8% for the IP plan and 93.6% for the 4DMP plan. Lung V20 of the 4DMP plan was 2.1% lower than that of the IP plan and Dmax to cord was 2.2 Gy higher. Under a real time irregular breathing pattern, 4DMP had the best plan quality. PTV V97 was 90.4% for a MIP plan, 88.6% for an IP plan and 94.1% for a 4DMP plan. Lung V20 was 20.1% for the MIP plan, 17.8% for the IP plan and 17.5% for the 4DMP plan. The deliverability of the real time 4DMP plan was proved by calculating the maximum leaf speed of the DMLC.ConclusionsThe 4D model-based planning, which applies dynamic virtual patient models in IMRT treatment planning, can account for the real time deformable motion of the tumor under different breathing conditions. Under regular motion, the quality of 4DMP plans was comparable with IP and superior to MIP. Under realistic motion in which breathing amplitude and period change, 4DMP gave the best plan quality of the three 4D treatment planning techniques.

Dataset Information

4D-BIM-Based Workspace Planning for Temporary Safety Facilities in Construction SMEs.

Publications

4D-BIM-Based Workspace Planning for Temporary Safety Facilities in Construction SMEs.

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