Monitoring the quality of sewer renewal using polymeric systems in Sweden

被引:1
|
作者
Kharazmi, Parastou [1 ]
机构
[1] KTH Royal Inst Technol, Brinellvagen 23, SE-10044 Stockholm, Sweden
来源
WATER PRACTICE AND TECHNOLOGY | 2019年 / 14卷 / 03期
基金
瑞典研究理事会;
关键词
polymer; quality control; rehabilitation; relining; sewer; wastewater pipe;
D O I
10.2166/wpt.2019.046
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
Water and wastewater pipes require some of the highest levels of infrastructure investment; they also deteriorate faster than they can be repaired. The use of alternative rehabilitation technologies, which are quicker and less expensive than pipe replacement, has therefore increased significantly in recent years, worldwide. Field studies on relined wastewater pipes removed from buildings in different parts of Sweden revealed the existence of a variety of common defects, most of which could have been prevented by better installation. Increased quality-focused monitoring could help to ensure that relined pipes reach their expected service life, while comprehensive documentation could assist in providing sufficient information to facilitate progress in the field. This paper includes a brief overview of the technologies used in Sweden, current quality control practices, repeated observed defects related to installation, crucial steps that affect final quality, and recommendations to be considered in the contexts of detailed quality control and quality assurance procedures.
引用
收藏
页码:605 / 613
页数:9
相关论文
共 50 条
  • [11] Material recognition for construction quality monitoring using deep learning methods
    Mahamivanan, Hadi
    Ghassemi, Navid
    Tayarani Darbandi, Mohammad
    Shoeibi, Afshin
    Hussain, Sadiq
    Nasirzadeh, Farnad
    Alizadehsani, Roohallah
    Nahavandi, Darius
    Khosravi, Abbas
    Nahavandi, Saeid
    CONSTRUCTION INNOVATION-ENGLAND, 2025, 25 (03): : 732 - 760
  • [12] Monitoring Air Quality using the Neural Network based Control Chart
    Azmat, S.
    Sabir, Q. U. A.
    Tariq, S.
    Shafqat, A.
    Rao, G. S.
    Aslam, M.
    MAPAN-JOURNAL OF METROLOGY SOCIETY OF INDIA, 2023, 38 (04): : 885 - 893
  • [13] Monitoring Air Quality using the Neural Network based Control Chart
    Sumaira Azmat
    Qurat Ul An Sabir
    Saadia Tariq
    Ambreen Shafqat
    G. Srinivasa Rao
    Muhammad Aslam
    MAPAN, 2023, 38 : 885 - 893
  • [14] Continuous health monitoring of pavement systems using smart sensing technology
    Alavi, Amir H.
    Hasni, Hassene
    Lajnef, Nizar
    Chatti, Karim
    CONSTRUCTION AND BUILDING MATERIALS, 2016, 114 : 719 - 736
  • [15] In Situ Quality Monitoring in AM Using Acoustic Emission: A Reinforcement Learning Approach
    K. Wasmer
    T. Le-Quang
    B. Meylan
    S. A. Shevchik
    Journal of Materials Engineering and Performance, 2019, 28 : 666 - 672
  • [16] In Situ Quality Monitoring in AM Using Acoustic Emission: A Reinforcement Learning Approach
    Wasmer, K.
    Le-Quang, T.
    Meylan, B.
    Shevchik, S. A.
    JOURNAL OF MATERIALS ENGINEERING AND PERFORMANCE, 2019, 28 (02) : 666 - 672
  • [17] Monitoring the quality of oils for biodiesel production using multivariate near infrared spectroscopy models
    Baptista, Patricia
    Felizardo, Pedro
    Menezes, Jose C.
    Correia, M. Joana Neiva
    JOURNAL OF NEAR INFRARED SPECTROSCOPY, 2008, 16 (05) : 445 - 454
  • [18] Monitoring of the powder bed quality in metal additive manufacturing using deep transfer learning
    Fischer, Felix Gabriel
    Zimmermann, Max Gero
    Praetzsch, Niklas
    Knaak, Christian
    MATERIALS & DESIGN, 2022, 222
  • [19] Quality control of CT systems by automated monitoring of key performance indicators: a two-year study
    Nowik, Patrik
    Bujila, Robert
    Poludniowski, Gavin
    Fransson, Annette
    JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS, 2015, 16 (04): : 254 - 265
  • [20] A study of the binding between polymers and peptides, using affinity capillary electrophoresis, applied to polymeric drug delivery systems
    Progent, F
    Taverna, M
    Le Potier, I
    Gopée, F
    Ferrier, D
    ELECTROPHORESIS, 2002, 23 (06) : 938 - 944