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Number of results: 8
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Abstract

With the continuous development of bridge technology, the condition assessment of large bridges has gradually attracted attention. Structural Health Monitoring (SHM) technology provides valuable information about a structure's existing health, keeping it safe and uninterrupted use under various operating conditions by mitigating risks and hazards on time. At the same time, the problem of bridge underwater structure disease is becoming more obvious, affecting the safe operation of the bridge structure. It is necessary to test the bridge’s underwater structure. This paper develops a bridge underwater structure health monitoring system by combining building information modeling (BIM) and an underwater structure damage algorithm. This paper is verified by multiple image recognition networks, and compared with the advantages of different networks, the YOLOV4 network is used as the main body to improve, and a lightweight convolutional neural network (Lite-yolov4) is built. At the same time, the accuracy of disease identification and the performance of each network are tested in various experimental environments, and the reliability of the underwater structure detection link is verified.
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Authors and Affiliations

Xiaofei Li
1
Rongrong Su
1
Peng Cheng
1
Heming Sun
2
ORCID: ORCID
Qinghang Meng
1
Taiyi Song
1 2
Mengpu Wei
1
Chen Zhang
1 2

  1. College of Transportation Engineering, Dalian Maritime University, Dalian 116026, China
  2. ZJYY (Dalian) Bridge Underwater Inspection Co., Ltd. Dalian 116023, China
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Abstract

The digitalisation of the construction process is a phenomenon that has been significantly accelerated in recent years. BIM (Building Information Modeling) technology is becoming increasingly popular with designers, contractors and investors and is being used, mainly in relation to buildings. In communication objects, the application of BIM is much more difficult, as confirmed by the shifting schedules during implementation trials in road design. And yet, BIM is not only about the design or execution of construction works, it is worth taking advantage of the new possibilities especially at the stage of using the facility. BIM in transportation infrastructure is already used in other countries, mainly in Scandinavia, where work on its implementation began at the beginning of this century. The preparation of appropriate procedures and standards, adjusted to national realities, requires gathering experience on pilot investments. The paper presents an analysis of the necessary initial data which will make it possible to apply BIM in the Polish road construction industry. Moreover, the main risks occurring at various stages of the construction process are presented. The aim of the article is to indicate the necessary actions that will allow the advantages of BIM technology to be used more fully in road investments. The implementation of BIM in Polish road construction is not a distant future but rather "tomorrow", so it is worth knowing the limitations and preparing for the upcoming changes.
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Authors and Affiliations

Artur Juszczyk
1
ORCID: ORCID

  1. University of Zielona Góra, Institute of Civil Engineering, St. prof. Z. Szafrana 1, 65-516 Zielona Góra, Poland
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Abstract

The aim of this research is to evaluate the performance of four UAV image processing software for the automatic estimation of volumes based on estimated volume accuracy, spatial accuracy, and execution time, with and without Ground Control Points (GCPs). A total of 52 images of a building were captured using a DJI Mavic Air UAV at 60m altitude and 80% forward and side overlap. The dataset was processed with and without GCPs using Pix4DMapper, Agisoft Metashape Pro, Reality Capture, and 3DF Zephyr. The UAV-based estimated volume generated from the software was compared with the true volume of the building generated from its as-built 3D building information modeled in Revit 2018 environment. The resulting percentage difference was computed. The average volumes estimated from the four software with the use of GCPs were 4757.448 m3 (3.87%), 4728.1 m3 (2.54%), 4291.561 m3 (11.5%), and 4154.938 m3 (14.35%), respectively. Similarly, when GCPs were not used for the image processing, average volumes of 4631.385 m3 (4.52%), 4773.025 m3 (1.6%), 4617.899 m3 (4.89%), and 4420.403 m3 (8.92%) were obtained in the same order. In addition to the volume estimation analysis, other parameters, including execution time, positional RMSE, and spatial resolution, were evaluated. Based on these parameters, Agisoft Metashape Pro proved to be more accurate, time-efficient, and reliable for volumetric estimations from UAV images compared to the other investigated software. The findings of this study can guide decision-making in selecting the appropriate software for UAV-based volume estimation in different applications.
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Authors and Affiliations

Oluibukun Gbenga Ajayi
1 2
ORCID: ORCID
Bolaji Saheed Ogundele
2
ORCID: ORCID
Gideon Abidemi Aleji
2
ORCID: ORCID

  1. Namibia University of Science and Technology, Windhoek, Namibia
  2. Federal University of Technology, Minna, Nigeria
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Abstract

Since the beginning of the 21st century floating buildings have been growing in popularity in Poland. According to market research and quantitative studies, the majority of operative Polish floating buildings serve for commercial purposes, such as short-term rentals, vacation houses and floating marinas. Simultaneously, despite the increasing demand, the development of floating buildings in Poland is limited by the inconsistent legislation, government policy and, most importantly, natural conditions of Polish inland waters. The most attractive sites for floating architecture are the semi-natural lakeshores and riverbanks. At the same time, low water levels and poor maintenance of many Polish basins require special architectural and engineering solutions. The article presents our experience with meeting the market’s demand for small cost-effective floating commercial buildings despite the local shortcomings of inland waters on the example of the floating apartment built in 2019 on the Roś Lake in Pisz, Poland. The presented building was intended as a water-based extension of the existing hotel on land. It was designed as a “modern barn” with all-glazed gable wall allowing for a spectacular view to the lake. With a 50 sqm footprint, the one-story house with a mezzanine has a small draft of 33 cm and meets the stability criteria defined for inland waters. The presented case study shows that integrating the naval architecture theory, Building Information Modeling simulation along with cutting-edge construction techniques such as Scottsdale Construction System (SCS) and polyurethane spray insulation, can bring significant progress into the development of the floating buildings market in Poland.

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Authors and Affiliations

Karolina Ostrowska-Wawryniuk
Łukasz Piątek
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Abstract

Due to the organization of construction works, one of the most difficult situations is when a building is planned in a heritage or a densely built-up location. Fixing an existing situation manually takes a lot of time and effort and is usually not accurate. For example, it is not always possible to measure the exact spacing between buildings at different levels and to consider all outside elements of an existing building. Improper fixation of the existing situation causes mistakes and collisions in design and the use of inappropriate construction solutions. The development and progress in technologies such as BIM, laser scanning, and photogrammetry broaden the options for supporting the management of construction projects. It is important to have an effective fast collection and processing of useful information for management processes. The purpose of this paper is to analyze and present some aspects of photogrammetry to collect and process information about existing buildings. The methodology of the study is based on the comparison of two alternative approaches, namely photogrammetry and BIM modelling. Case studies present an analysis of the quantity take-offs for selected elements and parts of the buildings based on the two approaches. In this article, the specific use of photogrammetry shows that the error between the detailed BIM model and the photogrammetry model is only 1.02% and the accuracy is 98.98%. Moreover, physical capabilities do not always allow us to measure every desired element in reality. This is followed by a discussion on the usability of photogrammetry.
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Authors and Affiliations

Robertas Kontrimovicius
1
ORCID: ORCID
Michał Juszczyk
2
ORCID: ORCID
Agnieszka Leśniak
2
ORCID: ORCID
Leonas Ustinovichius
1
ORCID: ORCID
Czesław Miedziałowski
3
ORCID: ORCID

  1. Faculty of Civil Engineering, Vilnius Gediminas Technical University, Lithuania
  2. Faculty of Civil Engineering, Cracow University of Technology, Poland
  3. Faculty of Civil Engineering and Environmental Sciences, Bialystok University of Technology, Poland
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Abstract

The world has been implementing Building Information Modelling (BIM) successfully to construction projects from small to large scale. In Vietnam and many other countries, BIM is also widely applied in different fields of the construction industry. However, there are still many problems that need to be solved. One of those is to determine the necessary BIM competencies, thereby develop BIM personnel recruitment standards. The article identifies the competencies as well as evaluates their importance when supporting the recruitment of BIM personnel in construction enterprises in Vietnam. Through survey forms such as survey on online recruitment, expert interviews, and survey forms, the study is conducted with Likert scale, relative importance index (RII) for result analysis and ranking the importance of BIM competency for three distinct group of positions in Vietnam. With this result, the authors hope that the study will be an important reference, contributing to the development and concretization of the required competency criteria in the recruitment of BIM personnel in Vietnam and other similar countries.
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Authors and Affiliations

Pham Xuan Anh
1
ORCID: ORCID
Nguyen Quoc Toan
1
ORCID: ORCID
Tran Phuong Nam
1
ORCID: ORCID
Hoang Duy Long
1
ORCID: ORCID
Do Duc Thang
1
ORCID: ORCID

  1. Hanoi University of Civil Engineering, Faculty of Construction Economics and Management, No. 55 Giai Phong Street, Hai Ba Trung District, Hanoi, Vietnam
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Abstract

Despite the progress in digitization of civil engineering, the process of bridge inspection is still outdated. In most cases, its documentation consists of notes, sketches and photos. This results in significant data loss during structure maintenance and can even lead to critical failures. As a solution to this problem, many researchers see the use of modern technologies that are gaining popularity in civil engineering. Namely Building Information Modelling (BIM), 3D reconstruction and Artificial Intelligence (AI). However, despite their work, no particular solution was implemented. In this article, we evaluated the applicability of state-of-the-art methods based on a case study. We have considered each step starting from data acquisition and ending on BIM model enrichment. Additionally, the comparison of deep learning crack semantic segmentation algorithm with human inspector was performed. Authors believe that this kind of work is crucial for further advancements in the field of bridge maintenance.

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Authors and Affiliations

Bartosz Wójcik
ORCID: ORCID
Mateusz Żarski
ORCID: ORCID
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Abstract

Hundreds or even thousands of defects can be found during the building acceptance, hence the need for solutions which will facilitate the defect management, including identification, costing and repair. The aim of the paper is to present the possible use of BIM to support the defect management process during the acceptance of apartments in multifamily residential buildings. The paper presents a concept of quality control support application called MWBIM (Map of Knowledge BIM) which will collect data about discovered construction defects, their recording and servicing with the BIM technology. MWBIM will run based on Building Information Modelling (BIM), Augmented Reality (AR), Case-Based Reasoning (CBR) and maps of knowledge. There are three phases in the operation of the application: preparatory phase (planning the order of acceptance meetings and elements to be checked), acceptance phase (data collection and assigning them to the building information model) and the reporting phase (reports generation, assigning defects to contractors, follow-up of repair status). The intended uses of the application are mainly personnel involved in the acceptance of apartments.
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Authors and Affiliations

Sebastian Biel
1
ORCID: ORCID

  1. MSc., Eng., Cracow University of Technology, Faculty of Civil Engineering, Division of Management in Civil Engineering (L-7), Warszawska 24 Street, 31-155 Cracow, Poland

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