• Title/Summary/Keyword: Demolition techniques

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A study on the management of the cognitive health design pilot projects applied to residential areas (주거지에 적용된 인지건강디자인 시범사업의 유지관리 실태 연구)

  • Kim, Hyunju;Lee, Seungji
    • Journal of The Korea Institute of Healthcare Architecture
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    • v.27 no.4
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    • pp.41-50
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    • 2021
  • Purpose: This study is aimed at the case of the cognitive health design pilot projects promoted by the Seoul Metropolitan Government since 2014 in terms of design to solve social problems in accordance with the aging population of our society. The purpose of this study is to analyze the maintenance and management of the projects and to suggest implications for the promotion and expansion of sustainable cognitive health design in the future. Method: It set the analysis frame by dividing management into maintenance-damage-demolition for the spatial types and spatial elements suggested in the Seoul Cognitive Health Guidelines. And it analyze the actual conditions of four pilot projects based on the field survey. Results: First, the ratio of damage and demolition was higher than maintenance. Second, designs and techniques with low durability were applied. Most of the cases where floor marks were applied to the external environment were lost or difficult to recognize, and their functions were limited due to storage of goods and parking of vehicles and motorcycles. Third, there was a large variation according to the type of residence. The project contents that can be applied to the low-rise residential area were also limited, and more elements were demolished than in the apartment type. Implications: First, it should limit project contents of space types and space elements that can be maintained even over time. Second, it should seek sustainable design and technical solutions. Third, it should seek alternatives to cognitive health design in low-rise residential areas where a large number of elderly people live.

Usage potential of recycled aggregates in mortar and concrete

  • Yaragal, Subhash C.;Muhammad, Roshan A.K.
    • Advances in concrete construction
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    • v.5 no.3
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    • pp.201-219
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    • 2017
  • With the rapid growth in construction sector, it becomes all the more important to assess the amount of Construction and Demolition (C&D) waste being generated and analyze the practices needed to handle and use this waste before final disposal. This serves waste management and disposal issues, paving way to waste utilization in construction industry from the sustainability point of view. C&D waste constitutes a major bulk of total solid waste produced in the world. In this work, an attempt is made to study the performance of concrete using water soaked Recycled Coarse Aggregates (RCA) in replacement levels of 0%, 25%, 50%, 75% and 100% to Natural Coarse Aggregates (NCA). Experiments were designed and conducted to study the performance of RCA based concrete. Further suitable performance enhancement techniques to RCA based concrete were attempted, to achieve compressive strength at least equal to or more than that for no RCA based concrete (control concrete). Performance enhancement study is reported here for 50% and 100% RCA based concretes. All four techniques attempted have given favorable results encouraging use of RCA based concretes with full replacement levels, to adopt RCA based concrete in structural applications, without any kind of concern to the stake holder. Further attempts have also been made to use Recycled Fine Aggregates (RFA) with appropriate modifications to serve as fine aggregates in mortar and concrete. Using RFA blended with river sand fractions as well as RFA with Iron Ore Tailings (IOT) fractions, have given good results to serve as fine aggregates to the extent of 100% replacement levels in mortars and concretes.

Performance studies on concrete with recycled coarse aggregates

  • Yaragal, Subhash C.;Teja, Dumpati C.;Shaffi, Mohammed
    • Advances in concrete construction
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    • v.4 no.4
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    • pp.263-281
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    • 2016
  • Concrete continues to be the most consumed construction material in the world, only next to water. Due to rapid increase in construction activities, Construction and Demolition (C&D) waste constitutes a major portion of total solid waste production in the world. It is important to assess the amount of C&D waste being generated and analyse the practices needed to handle this waste from the point of waste utilization, management and disposal addressing the sustainability aspects. The depleting natural resources in the current scenario warrants research to examine viable alternative means, modes and methods for sustainable construction. This study reports processing Recycled Coarse Aggregates (RCA) using a rod mill, for the first time. Parameters such as amount of C&D waste for processing, nature of charge and duration of processing time have been optimized for obtaining good quality RCA. Performance of RCA based concrete and performance enhancement techniques of 50% RCA based concrete are discussed in this paper.

ACCELERATED CONSTRUCTION OF URBAN INTERSECTIONS WITH PORTLAND CEMENT CONCRETE PAVEMENT (PCCP)

  • Kamran M. Nemati
    • International conference on construction engineering and project management
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    • 2005.10a
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    • pp.886-891
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    • 2005
  • The frequent maintenance required on some asphalt concrete (AC) pavement sections has made reconstruction with Portland Cement Concrete Pavement (PCCP) a feasible alternative. However, many constructability issues need to be addressed in order to realize the full potential of this alternative. Accelerated paving encompasses three classes of activities: methods to accelerate the rate of strength gain, methods to minimize the construction time, and traffic control strategies to minimize user delay. Three major AC intersections with severe rutting problems were reconstructed with PCCP. The entire reconstruction of each intersection, including demolition of the AC pavement and its replacement with PCCP, took place over a period of three days, starting on Thursday evening and opening the intersection to the traffic on Sunday afternoon. This paper discusses the use of PCCP for accelerated reconstruction of major urban intersections with minimal user and traffic disruption, using innovative construction techniques and traffic management optimization principles and demonstrates that concrete pavements can be constructed efficiently and quickly.

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A Local Asset Based Regeneration Process of Gamcheon Culture Village Busan (부산 감천문화마을의 지역자산 기반 재생과정 연구)

  • Lee, Yeun Sook;Park, Jae Hyun
    • KIEAE Journal
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    • v.14 no.3
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    • pp.111-120
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    • 2014
  • In the late 20th century, Korea has accelerated urban sprawl and demolition based redevelopment without considering local characteristics. As a result, quantitative supplement of housing has been saturated and has pushed revitalization especially. The purpose of this research is to delineate the local asset based regeneration of Gamcheon Culture Village Busan. The research methods are field visit, site observation, in-depth interview, library and internet research, data were collected and analyzed with the contents analysis techniques. As results, elements of hardware, software and humanware resources and the dynamics of the whole process such as how the resources connected and utilized, and how the external resources have been converged into these to regenerate Gamcheon Culture Village in diverse dimensions, such as cultural, social, economical and physical one were analysed. This research is expected to share the wisdom of revitalizing with collaborations. Through enhancing negative resources of decayed area to positive ones, the case produced the synergy.

Recognition and Visualization of Crack on Concrete Wall using Deep Learning and Transfer Learning (딥러닝과 전이학습을 이용한 콘크리트 균열 인식 및 시각화)

  • Lee, Sang-Ik;Yang, Gyeong-Mo;Lee, Jemyung;Lee, Jong-Hyuk;Jeong, Yeong-Joon;Lee, Jun-Gu;Choi, Won
    • Journal of The Korean Society of Agricultural Engineers
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    • v.61 no.3
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    • pp.55-65
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    • 2019
  • Although crack on concrete exists from its early formation, crack requires attention as it affects stiffness of structure and can lead demolition of structure as it grows. Detecting cracks on concrete is needed to take action prior to performance degradation of structure, and deep learning can be utilized for it. In this study, transfer learning, one of the deep learning techniques, was used to detect the crack, as the amount of crack's image data was limited. Pre-trained Inception-v3 was applied as a base model for the transfer learning. Web scrapping was utilized to fetch images of concrete wall with or without crack from web. In the recognition of crack, image post-process including changing size or removing color were applied. In the visualization of crack, source images divided into 30px, 50px or 100px size were used as input data, and different numbers of input data per category were applied for each case. With the results of visualized crack image, false positive and false negative errors were examined. Highest accuracy for the recognizing crack was achieved when the source images were adjusted into 224px size under gray-scale. In visualization, the result using 50 data per category under 100px interval size showed the smallest error. With regard to the false positive error, the best result was obtained using 400 data per category, and regarding to the false negative error, the case using 50 data per category showed the best result.

A Study on the ex-ante Hydraulic Facilities Assessment Techniques Combinedly Considering Flood Control - Environmental Functions (하천의 치수-환경기능 복합 고려 수리시설물 사전평가 방법에 관한 연구)

  • Lee, Tae-Geun;Sim, Gyoo-Seong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.10
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    • pp.517-529
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    • 2020
  • Various facilities in the river working in a complex interdependence network result in both desired and adverse effects. Among these, the weir crossing the river continuously acts in various ways, such as securing river maintenance flow and water level during dry-period, and rising flood level during rainy period. Until now, weir planning was only limited to flood mitigation management. Recently, the demand for securing river environment functions is increasing. Therefore, the necessity for an environmental flow has emerged. Nevertheless, there is no analysis and evaluation of the ecological functional aspects applying the environmental flow when planning facilities. Therefore, this study aimed to develop and systematize an assessment method that considers not only flood control but also river environment. Environmental flow was applied to the weir named Dondaet-bo and hydraulic analysis was conducted for each retention, demolition, and re-installation case. Also, this research was conducted to minimize the impact on the surrounding river facilities and flood assessments from previous perspectives were performed. The study result demonstrated a plan to reinstall the weir as a natural riffle. Through this study, it is expected that the flood control and environmental functions of rivers can be secured in combination.

Road Extraction from Images Using Semantic Segmentation Algorithm (영상 기반 Semantic Segmentation 알고리즘을 이용한 도로 추출)

  • Oh, Haeng Yeol;Jeon, Seung Bae;Kim, Geon;Jeong, Myeong-Hun
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.40 no.3
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    • pp.239-247
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    • 2022
  • Cities are becoming more complex due to rapid industrialization and population growth in modern times. In particular, urban areas are rapidly changing due to housing site development, reconstruction, and demolition. Thus accurate road information is necessary for various purposes, such as High Definition Map for autonomous car driving. In the case of the Republic of Korea, accurate spatial information can be generated by making a map through the existing map production process. However, targeting a large area is limited due to time and money. Road, one of the map elements, is a hub and essential means of transportation that provides many different resources for human civilization. Therefore, it is essential to update road information accurately and quickly. This study uses Semantic Segmentation algorithms Such as LinkNet, D-LinkNet, and NL-LinkNet to extract roads from drone images and then apply hyperparameter optimization to models with the highest performance. As a result, the LinkNet model using pre-trained ResNet-34 as the encoder achieved 85.125 mIoU. Subsequent studies should focus on comparing the results of this study with those of studies using state-of-the-art object detection algorithms or semi-supervised learning-based Semantic Segmentation techniques. The results of this study can be applied to improve the speed of the existing map update process.